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Ming-Hsuan Yang 0001
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- affiliation: University of California, Merced, CA, USA
Other persons with the same name
- Ming-Hsuan Yang
- Ming-Hsuan Yang 0002 — Arizona University, Tucson, AZ, USA
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2020 – today
- 2024
- [j167]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang:
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56(4): 105:1-105:39 (2024) - [j166]Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Ming-Hsuan Yang:
FlowNAS: Neural Architecture Search for Optical Flow Estimation. Int. J. Comput. Vis. 132(4): 1055-1074 (2024) - [j165]Wenqi Ren, Senyou Deng, Kaihao Zhang, Fenglong Song, Xiaochun Cao, Ming-Hsuan Yang:
Fast Ultra High-Definition Video Deblurring via Multi-scale Separable Network. Int. J. Comput. Vis. 132(5): 1817-1834 (2024) - [j164]Guorong Li, Hanhua Ye, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang:
Learning Hierarchical Modular Networks for Video Captioning. IEEE Trans. Pattern Anal. Mach. Intell. 46(2): 1049-1064 (2024) - [j163]Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu:
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2533-2544 (2024) - [j162]Jun Luo, Yunfeng Nie, Wenqi Ren, Xiaochun Cao, Ming-Hsuan Yang:
Correcting Optical Aberration via Depth-Aware Point Spread Functions. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5541-5555 (2024) - [j161]Ziheng Yan, Yuankai Qi, Guorong Li, Xinyan Liu, Weigang Zhang, Ming-Hsuan Yang, Qingming Huang:
Progressive Multi-Resolution Loss for Crowd Counting. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3232-3244 (2024) - [j160]Kaihao Zhang, Tao Wang, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
MC-Blur: A Comprehensive Benchmark for Image Deblurring. IEEE Trans. Circuits Syst. Video Technol. 34(5): 3755-3767 (2024) - [j159]Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving Into Efficient and Accurate 3D Medical Image Segmentation. IEEE Trans. Medical Imaging 43(9): 3377-3390 (2024) - [j158]Xin Li, Wenjie Pei, Yaowei Wang, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang:
Self-Supervised Tracking via Target-Aware Data Synthesis. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9186-9197 (2024) - [c385]Youming Deng, Xueting Li, Sifei Liu, Ming-Hsuan Yang:
Physics-based Indirect Illumination for Inverse Rendering. 3DV 2024: 1249-1258 - [c384]Zhiwei Lin, Yongtao Wang, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang:
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios. AAAI 2024: 3531-3539 - [c383]Hao Zhang, Fang Li, Lu Qi, Ming-Hsuan Yang, Narendra Ahuja:
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. AAAI 2024: 7078-7086 - [c382]Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. ACL (Findings) 2024: 6767-6779 - [c381]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CVPR 2024: 3076-3085 - [c380]Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang:
UniGS: Unified Representation for Image Generation and Segmentation. CVPR 2024: 6305-6315 - [c379]Kelvin C. K. Chan, Yang Zhao, Xuhui Jia, Ming-Hsuan Yang, Huisheng Wang:
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance. CVPR 2024: 6733-6742 - [c378]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CVPR 2024: 7059-7068 - [c377]Xirui Li, Chao Ma, Xiaokang Yang, Ming-Hsuan Yang:
VidToMe: Video Token Merging for Zero-Shot Video Editing. CVPR 2024: 7486-7495 - [c376]Hsin-Ying Lee, Hung-Yu Tseng, Hsin-Ying Lee, Ming-Hsuan Yang:
Exploiting Diffusion Prior for Generalizable Dense Prediction. CVPR 2024: 7861-7871 - [c375]Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CVPR 2024: 13009-13018 - [c374]Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Ekaterina Deyneka, Hsiang-wei Chao, Byung Eun Jeon, Yuwei Fang, Hsin-Ying Lee, Jian Ren, Ming-Hsuan Yang, Sergey Tulyakov:
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers. CVPR 2024: 13320-13331 - [c373]Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai:
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. CVPR 2024: 14938-14947 - [c372]Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
VideoGrounding-DINO: Towards Open-Vocabulary Spatio- Temporal Video Grounding. CVPR 2024: 18909-18918 - [c371]Yuqing Huang, Xin Li, Zikun Zhou, Yaowei Wang, Zhenyu He, Ming-Hsuan Yang:
RTracker: Recoverable Tracking via PN Tree Structured Memory. CVPR 2024: 19038-19047 - [c370]Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual Counting. CVPR 2024: 19228-19237 - [c369]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes. CVPR 2024: 21634-21643 - [c368]Chengxu Liu, Xuan Wang, Xiangyu Xu, Ruhao Tian, Shuai Li, Xueming Qian, Ming-Hsuan Yang:
Motion-Adaptive Separable Collaborative Filters for Blind Motion Deblurring. CVPR 2024: 25595-25605 - [c367]Yu-Ju Tsai, Jin-Cheng Jhang, Jingjing Zheng, Wei Wang, Albert Y. C. Chen, Min Sun, Cheng-Hao Kuo, Ming-Hsuan Yang:
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation. CVPR 2024: 28056-28065 - [c366]Chieh Hubert Lin, Changil Kim, Jia-Bin Huang, Qinbo Li, Chih-Yao Ma, Johannes Kopf, Ming-Hsuan Yang, Hung-Yu Tseng:
Taming Latent Diffusion Model for Neural Radiance Field Inpainting. ECCV (3) 2024: 149-165 - [c365]Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly Supervised 3D Object Detection via Multi-level Visual Guidance. ECCV (1) 2024: 175-191 - [c364]Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang:
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. ECCV (42) 2024: 199-216 - [c363]Zhongyu Xia, Zhiwei Lin, Xinhao Wang, Yongtao Wang, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang:
HENet: Hybrid Encoding for End-to-End Multi-task 3D Perception from Multi-view Cameras. ECCV (50) 2024: 376-392 - [c362]I-Hsiang Chen, Wei-Ting Chen, Yu-Wei Liu, Ming-Hsuan Yang, Sy-Yen Kuo:
Improving Point-Based Crowd Counting and Localization Based on Auxiliary Point Guidance. ECCV (24) 2024: 428-444 - [c361]Yu-Ju Tsai, Yu-Lun Liu, Lu Qi, Kelvin C. K. Chan, Ming-Hsuan Yang:
Dual Associated Encoder for Face Restoration. ICLR 2024 - [c360]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding. ICLR 2024 - [c359]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR 2024 - [c358]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. ICML 2024 - [c357]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. ICML 2024 - [c356]Zhaoliang Wan, Yonggen Ling, Senlin Yi, Lu Qi, Wang Wei Lee, Minglei Lu, Sicheng Yang, Xiao Teng, Peng Lu, Xu Yang, Ming-Hsuan Yang, Hui Cheng:
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception. ICML 2024 - [c355]Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. ICML 2024 - [c354]Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: Tracking Multiple Generic Objects at Once. WACV 2024: 6812-6822 - [i306]Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding. CoRR abs/2401.00901 (2024) - [i305]Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang:
RAP-SAM: Towards Real-Time All-Purpose Segment Anything. CoRR abs/2401.10228 (2024) - [i304]Tao Wang, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Tae-Kyun Kim, Tong Lu, Hongdong Li, Ming-Hsuan Yang:
PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal. CoRR abs/2402.02374 (2024) - [i303]Lu Qi, Yi-Wen Chen, Lehan Yang, Tiancheng Shen, Xiangtai Li, Weidong Guo, Yu Xu, Ming-Hsuan Yang:
Generalizable Entity Grounding via Assistance of Large Language Model. CoRR abs/2402.02555 (2024) - [i302]Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting. CoRR abs/2402.07207 (2024) - [i301]Divin Yan, Lu Qi, Vincent Tao Hu, Ming-Hsuan Yang, Meng Tang:
Training Class-Imbalanced Diffusion Model Via Overlap Optimization. CoRR abs/2402.10821 (2024) - [i300]Gaoxiang Cong, Yuankai Qi, Liang Li, Amin Beheshti, Zhedong Zhang, Anton van den Hengel, Ming-Hsuan Yang, Chenggang Yan, Qingming Huang:
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing. CoRR abs/2402.12636 (2024) - [i299]Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong:
VideoPrism: A Foundational Visual Encoder for Video Understanding. CoRR abs/2402.13217 (2024) - [i298]Zhengxue Wang, Zhiqiang Yan, Ming-Hsuan Yang, Jinshan Pan, Jian Yang, Ying Tai, Guangwei Gao:
Scene Prior Filtering for Depth Map Super-Resolution. CoRR abs/2402.13876 (2024) - [i297]Hankyul Kang, Ming-Hsuan Yang, Jongbin Ryu:
Interactive Multi-Head Self-Attention with Linear Complexity. CoRR abs/2402.17507 (2024) - [i296]Tsai-Shien Chen, Aliaksandr Siarohin, Willi Menapace, Ekaterina Deyneka, Hsiang-wei Chao, Byung Eun Jeon, Yuwei Fang, Hsin-Ying Lee, Jian Ren, Ming-Hsuan Yang, Sergey Tulyakov:
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers. CoRR abs/2402.19479 (2024) - [i295]Abdelrahman M. Shaker, Syed Talal Wasim, Martin Danelljan, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Efficient Video Object Segmentation via Modulated Cross-Attention Memory. CoRR abs/2403.17937 (2024) - [i294]Yuqing Huang, Xin Li, Zikun Zhou, Yaowei Wang, Zhenyu He, Ming-Hsuan Yang:
RTracker: Recoverable Tracking via PN Tree Structured Memory. CoRR abs/2403.19242 (2024) - [i293]Akshay Dudhane, Omkar Thawakar, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration. CoRR abs/2404.02154 (2024) - [i292]Zhongyu Xia, Zhiwei Lin, Xinhao Wang, Yongtao Wang, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang:
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras. CoRR abs/2404.02517 (2024) - [i291]Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang:
Mansformer: Efficient Transformer of Mixed Attention for Image Deblurring and Beyond. CoRR abs/2404.06135 (2024) - [i290]Deshui Miao, Xin Li, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang:
Spatial-Temporal Multi-level Association for Video Object Segmentation. CoRR abs/2404.06265 (2024) - [i289]Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Hsuan Yang, Jiaya Jia:
Scalable Language Model with Generalized Continual Learning. CoRR abs/2404.07470 (2024) - [i288]Weijie Lyu, Xueting Li, Abhijit Kundu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Gaga: Group Any Gaussians via 3D-aware Memory Bank. CoRR abs/2404.07977 (2024) - [i287]Yu-Ju Tsai, Jin-Cheng Jhang, Jingjing Zheng, Wei Wang, Albert Y. C. Chen, Min Sun, Cheng-Hao Kuo, Ming-Hsuan Yang:
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation. CoRR abs/2404.09993 (2024) - [i286]Chieh Hubert Lin, Changil Kim, Jia-Bin Huang, Qinbo Li, Chih-Yao Ma, Johannes Kopf, Ming-Hsuan Yang, Hung-Yu Tseng:
Taming Latent Diffusion Model for Neural Radiance Field Inpainting. CoRR abs/2404.09995 (2024) - [i285]Hao-Wei Chen, Yu-Syuan Xu, Kelvin C. K. Chan, Hsien-Kai Kuo, Chun-Yi Lee, Ming-Hsuan Yang:
AdaIR: Exploiting Underlying Similarities of Image Restoration Tasks with Adapters. CoRR abs/2404.11475 (2024) - [i284]Chengxu Liu, Xuan Wang, Xiangyu Xu, Ruhao Tian, Shuai Li, Xueming Qian, Ming-Hsuan Yang:
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring. CoRR abs/2404.13153 (2024) - [i283]Kelvin C. K. Chan, Yang Zhao, Xuhui Jia, Ming-Hsuan Yang, Huisheng Wang:
Improving Subject-Driven Image Synthesis with Subject-Agnostic Guidance. CoRR abs/2405.01356 (2024) - [i282]I-Hsiang Chen, Wei-Ting Chen, Yu-Wei Liu, Ming-Hsuan Yang, Sy-Yen Kuo:
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance. CoRR abs/2405.10589 (2024) - [i281]Lingshun Kong, Jiangxin Dong, Ming-Hsuan Yang, Jinshan Pan:
Efficient Visual State Space Model for Image Deblurring. CoRR abs/2405.14343 (2024) - [i280]Kuan-Chih Huang, Xiangtai Li, Lu Qi, Shuicheng Yan, Ming-Hsuan Yang:
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model. CoRR abs/2405.17427 (2024) - [i279]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024) - [i278]Chaoyang Wang, Xiangtai Li, Lu Qi, Henghui Ding, Yunhai Tong, Ming-Hsuan Yang:
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow. CoRR abs/2405.20282 (2024) - [i277]Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang:
1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation. CoRR abs/2406.04600 (2024) - [i276]Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu:
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. CoRR abs/2406.17005 (2024) - [i275]Haobo Yuan, Xiangtai Li, Lu Qi, Tao Zhang, Ming-Hsuan Yang, Shuicheng Yan, Chen Change Loy:
Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model. CoRR abs/2406.19369 (2024) - [i274]Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang:
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts. CoRR abs/2407.06842 (2024) - [i273]Xin Li, Deshui Miao, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang:
Learning Spatial-Semantic Features for Robust Video Object Segmentation. CoRR abs/2407.07760 (2024) - [i272]Mingyang Zhao, Xiaohong Jia, Lei Ma, Yuke Shi, Jingen Jiang, Qizhai Li, Ming-Hsuan Yang, Tiejun Huang:
A Bayesian Approach Toward Robust Multidimensional Ellipsoid-Specific Fitting. CoRR abs/2407.19269 (2024) - [i271]Shilin Xu, Xiangtai Li, Haobo Yuan, Lu Qi, Yunhai Tong, Ming-Hsuan Yang:
LLAVADI: What Matters For Multimodal Large Language Models Distillation. CoRR abs/2407.19409 (2024) - [i270]Seung Hyun Lee, Junjie Ke, Yinxiao Li, Junfeng He, Steven Hickson, Katie Datsenko, Sangpil Kim, Ming-Hsuan Yang, Irfan Essa, Feng Yang:
Cropper: Vision-Language Model for Image Cropping through In-Context Learning. CoRR abs/2408.07790 (2024) - [i269]Xin Lin, Yuyan Zhou, Jingtong Yue, Chao Ren, Kelvin C. K. Chan, Lu Qi, Ming-Hsuan Yang:
Re-boosting Self-Collaboration Parallel Prompt GAN for Unsupervised Image Restoration. CoRR abs/2408.09241 (2024) - [i268]Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang:
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOS. CoRR abs/2408.16431 (2024) - [i267]Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, LingLing Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu:
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation. CoRR abs/2409.05847 (2024) - [i266]Junyi Zhang, Charles Herrmann, Junhwa Hur, Varun Jampani, Trevor Darrell, Forrester Cole, Deqing Sun, Ming-Hsuan Yang:
MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion. CoRR abs/2410.03825 (2024) - [i265]Yujin Tang, Lu Qi, Fei Xie, Xiangtai Li, Chao Ma, Ming-Hsuan Yang:
PredFormer: Transformers Are Effective Spatial-Temporal Predictive Learners. CoRR abs/2410.04733 (2024) - 2023
- [j157]Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Unsupervised sound localization via iterative contrastive learning. Comput. Vis. Image Underst. 227: 103602 (2023) - [j156]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1934-1948 (2023) - [j155]Weitao Wan, Cheng Yu, Jiansheng Chen, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang:
Shaping Deep Feature Space Towards Gaussian Mixture for Visual Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2430-2444 (2023) - [j154]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3121-3138 (2023) - [j153]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-Scale Unsupervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7457-7476 (2023) - [j152]Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8920-8935 (2023) - [j151]Jinshan Pan, Boming Xu, Haoran Bai, Jinhui Tang, Ming-Hsuan Yang:
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-Local Spatial-Temporal Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9411-9425 (2023) - [j150]Salman H. Khan, Fahad Shahbaz Khan, Ashish Vaswani, Niki Parmar, Ming-Hsuan Yang, Mubarak Shah:
Guest Editorial Introduction to the Special Section on Transformer Models in Vision. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12721-12725 (2023) - [j149]Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, Ming-Hsuan Yang:
GAN-Based Facial Attribute Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14590-14610 (2023) - [j148]Zheheng Jiang, Zhihua Liu, Long Chen, Lei Tong, Xiangrong Zhang, Xiangyuan Lan, Danny Crookes, Ming-Hsuan Yang, Huiyu Zhou:
Detecting and Tracking of Multiple Mice Using Part Proposal Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9806-9820 (2023) - [c353]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CVPR 2023: 4853-4862 - [c352]Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CVPR 2023: 5703-5712 - [c351]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CVPR 2023: 10459-10469 - [c350]Yunhao Ge, Jie Ren, Andrew Gallagher, Yuxiao Wang, Ming-Hsuan Yang, Hartwig Adam, Laurent Itti, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-Modal Models. CVPR 2023: 11093-11101 - [c349]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CVPR 2023: 11412-11421 - [c348]Gaoxiang Cong, Liang Li, Yuankai Qi, Zheng-Jun Zha, Qi Wu, Wenyu Wang, Bin Jiang, Ming-Hsuan Yang, Qingming Huang:
Learning to Dub Movies via Hierarchical Prosody Models. CVPR 2023: 14687-14697 - [c347]Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang:
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection. CVPR 2023: 16271-16280 - [c346]Botao Ye, Sifei Liu, Xueting Li, Ming-Hsuan Yang:
Self-Supervised Super-Plane for Neural 3D Reconstruction. CVPR 2023: 21415-21424 - [c345]William Chettleburgh, Zhishen Huang, Ming-Hsuan Yang:
Fast Robust Principle Component Analysis Using Gauss-Newton Iterations. ICASSP 2023: 1-5 - [c344]Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
High Quality Entity Segmentation. ICCV 2023: 4024-4033 - [c343]Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. ICCV 2023: 6886-6895 - [c342]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. ICCV 2023: 6939-6950 - [c341]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. ICCV 2023: 7354-7364 - [c340]Xin Li, Yuqing Huang, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang:
CiteTracker: Correlating Image and Text for Visual Tracking. ICCV 2023: 9940-9949 - [c339]Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim:
MiniROAD: Minimal RNN Framework for Online Action Detection. ICCV 2023: 10307-10316 - [c338]Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. ICCV 2023: 15144-15154 - [c337]Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. ICCV 2023: 17379-17390 - [c336]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. ICCV 2023: 18752-18762 - [c335]Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov:
InfiniCity: Infinite-Scale City Synthesis. ICCV 2023: 22751-22761 - [c334]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image. ICCV 2023: 22773-22783 - [c333]Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang:
Counting Crowds in Bad Weather. ICCV 2023: 23251-23262 - [c332]Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c331]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML 2023: 4055-4075 - [c330]Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang:
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features. ICML 2023: 21204-21222 - [c329]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. NeurIPS 2023 - [c328]Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection. NeurIPS 2023 - [c327]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. NeurIPS 2023 - [c326]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation for Anything. NeurIPS 2023 - [c325]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Michael Rubinstein, Yuanzhen Li, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. NeurIPS 2023 - [c324]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [c323]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. NeurIPS 2023 - [i264]Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan:
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR abs/2301.00704 (2023) - [i263]Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov:
InfiniCity: Infinite-Scale City Synthesis. CoRR abs/2301.09637 (2023) - [i262]Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Unified Visual Relationship Detection with Vision and Language Models. CoRR abs/2303.08998 (2023) - [i261]Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. CoRR abs/2303.15446 (2023) - [i260]Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan:
Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding. CoRR abs/2303.16341 (2023) - [i259]Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Generative Multiplane Neural Radiance for 3D-Aware Image Generation. CoRR abs/2304.01172 (2023) - [i258]Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burstormer: Burst Image Restoration and Enhancement Transformer. CoRR abs/2304.01194 (2023) - [i257]Hsin-Ping Huang, Yu-Chuan Su, Ming-Hsuan Yang:
Video Generation Beyond a Single Clip. CoRR abs/2304.07483 (2023) - [i256]Tsai-Shien Chen, Chieh Hubert Lin, Hung-Yu Tseng, Tsung-Yi Lin, Ming-Hsuan Yang:
Motion-Conditioned Diffusion Model for Controllable Video Synthesis. CoRR abs/2304.14404 (2023) - [i255]Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence. CoRR abs/2305.15347 (2023) - [i254]Lu Qi, Jason Kuen, Weidong Guo, Jiuxiang Gu, Zhe Lin, Bo Du, Yu Xu, Ming-Hsuan Yang:
AIMS: All-Inclusive Multi-Level Segmentation. CoRR abs/2305.17768 (2023) - [i253]Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang:
Counting Crowds in Bad Weather. CoRR abs/2306.01209 (2023) - [i252]Chun-Han Yao, Amit Raj, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections. CoRR abs/2306.04619 (2023) - [i251]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR abs/2306.17842 (2023) - [i250]Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong:
VideoGLUE: Video General Understanding Evaluation of Foundation Models. CoRR abs/2307.03166 (2023) - [i249]Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Self-regulating Prompts: Foundational Model Adaptation without Forgetting. CoRR abs/2307.06948 (2023) - [i248]Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti:
CLR: Channel-wise Lightweight Reprogramming for Continual Learning. CoRR abs/2307.11386 (2023) - [i247]Muhammad Awais, Muzammal Naseer, Salman H. Khan, Rao Muhammad Anwer, Hisham Cholakkal, Mubarak Shah, Ming-Hsuan Yang, Fahad Shahbaz Khan:
Foundational Models Defining a New Era in Vision: A Survey and Outlook. CoRR abs/2307.13721 (2023) - [i246]Yu-Ju Tsai, Yu-Lun Liu, Lu Qi, Kelvin C. K. Chan, Ming-Hsuan Yang:
Dual Associated Encoder for Face Restoration. CoRR abs/2308.07314 (2023) - [i245]Xin Li, Yuqing Huang, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang:
CiteTracker: Correlating Image and Text for Visual Tracking. CoRR abs/2308.11322 (2023) - [i244]Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Delving into Motion-Aware Matching for Monocular 3D Object Tracking. CoRR abs/2308.11607 (2023) - [i243]Shuangkang Fang, Yufeng Wang, Yi Yang, Yi-Hsuan Tsai, Wenrui Ding, Ming-Hsuan Yang, Shuchang Zhou:
Text-driven Editing of 3D Scenes without Retraining. CoRR abs/2309.04917 (2023) - [i242]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image. CoRR abs/2309.06323 (2023) - [i241]Meng Liu, Mingda Zhang, Jialu Liu, Hanjun Dai, Ming-Hsuan Yang, Shuiwang Ji, Zheyun Feng, Boqing Gong:
Video Timeline Modeling For News Story Understanding. CoRR abs/2309.13446 (2023) - [i240]Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui, Tuo Zhao, Boqing Gong, Tianyi Zhou:
Module-wise Adaptive Distillation for Multimodality Foundation Models. CoRR abs/2310.04550 (2023) - [i239]Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang:
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR abs/2310.05737 (2023) - [i238]Yong Du, Jiahui Zhan, Shengfeng He, Xinzhe Li, Junyu Dong, Sheng Chen, Ming-Hsuan Yang:
One-for-All: Towards Universal Domain Translation with a Single StyleGAN. CoRR abs/2310.14222 (2023) - [i237]Hao Zhou, Tiancheng Shen, Xu Yang, Hai Huang, Xiangtai Li, Lu Qi, Ming-Hsuan Yang:
Rethinking Evaluation Metrics of Open-Vocabulary Segmentaion. CoRR abs/2311.03352 (2023) - [i236]Hanoona Abdul Rasheed, Muhammad Maaz, Sahal Shaji Mullappilly, Abdelrahman M. Shaker, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Eric P. Xing, Ming-Hsuan Yang, Fahad Shahbaz Khan:
GLaMM: Pixel Grounding Large Multimodal Model. CoRR abs/2311.03356 (2023) - [i235]Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang:
Pyramid Diffusion for Fine 3D Large Scene Generation. CoRR abs/2311.12085 (2023) - [i234]Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai, Lu Jiang, Ming-Hsuan Yang:
Text-Driven Image Editing via Learnable Regions. CoRR abs/2311.16432 (2023) - [i233]Junyi Zhang, Charles Herrmann, Junhwa Hur, Eric Chen, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence. CoRR abs/2311.17034 (2023) - [i232]Hsin-Ying Lee, Hung-Yu Tseng, Hsin-Ying Lee, Ming-Hsuan Yang:
Exploiting Diffusion Prior for Generalizable Pixel-Level Semantic Prediction. CoRR abs/2311.18832 (2023) - [i231]Yunhao Liu, Lu Qi, Yu-Ju Tsai, Xiangtai Li, Kelvin C. K. Chan, Ming-Hsuan Yang:
Effective Adapter for Face Recognition in the Wild. CoRR abs/2312.01734 (2023) - [i230]Chen Zhang, Guorong Li, Yuankai Qi, Hanhua Ye, Laiyun Qing, Ming-Hsuan Yang, Qingming Huang:
Dynamic Erasing Network Based on Multi-Scale Temporal Features for Weakly Supervised Video Anomaly Detection. CoRR abs/2312.01764 (2023) - [i229]Lu Qi, Lehan Yang, Weidong Guo, Yu Xu, Bo Du, Varun Jampani, Ming-Hsuan Yang:
UniGS: Unified Representation for Image Generation and Segmentation. CoRR abs/2312.01985 (2023) - [i228]Tao Tu, Ming-Feng Li, Chieh Hubert Lin, Yen-Chi Cheng, Min Sun, Ming-Hsuan Yang:
DreaMo: Articulated 3D Reconstruction From A Single Casual Video. CoRR abs/2312.02617 (2023) - [i227]Hsin-Ping Huang, Yu-Chuan Su, Deqing Sun, Lu Jiang, Xuhui Jia, Yukun Zhu, Ming-Hsuan Yang:
Fine-grained Controllable Video Generation via Object Appearance and Context. CoRR abs/2312.02919 (2023) - [i226]Cheng-Ju Ho, Chen-Hsuan Tai, Yen-Yu Lin, Ming-Hsuan Yang, Yi-Hsuan Tsai:
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection. CoRR abs/2312.02966 (2023) - [i225]Tiantian Wang, Xinxin Zuo, Fangzhou Mu, Jian Wang, Ming-Hsuan Yang:
Towards 4D Human Video Stylization. CoRR abs/2312.04143 (2023) - [i224]Hao Zhang, Fang Li, Lu Qi, Ming-Hsuan Yang, Narendra Ahuja:
CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen. CoRR abs/2312.05538 (2023) - [i223]Xinyan Liu, Guorong Li, Yuankai Qi, Ziheng Yan, Zhenjun Han, Anton van den Hengel, Ming-Hsuan Yang, Qingming Huang:
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting. CoRR abs/2312.05923 (2023) - [i222]Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming-Hsuan Yang, Dacheng Tao:
Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection. CoRR abs/2312.07495 (2023) - [i221]Kuan-Chih Huang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance. CoRR abs/2312.07530 (2023) - [i220]Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang:
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes. CoRR abs/2312.07920 (2023) - [i219]Kuan-Chih Huang, Weijie Lyu, Ming-Hsuan Yang, Yi-Hsuan Tsai:
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection. CoRR abs/2312.08371 (2023) - [i218]Xirui Li, Chao Ma, Xiaokang Yang, Ming-Hsuan Yang:
VidToMe: Video Token Merging for Zero-Shot Video Editing. CoRR abs/2312.10656 (2023) - [i217]Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Joshua V. Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang:
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR abs/2312.14125 (2023) - 2022
- [j147]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D visual relationship detection. Comput. Vis. Image Underst. 224: 103557 (2022) - [j146]Qi Mao, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang:
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. Int. J. Comput. Vis. 130(2): 517-549 (2022) - [j145]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(5): 1293-1309 (2022) - [j144]Jinshan Pan, Deqing Sun, Jiawei Zhang, Jinhui Tang, Jian Yang, Yu-Wing Tai, Ming-Hsuan Yang:
Dual Convolutional Neural Networks for Low-Level Vision. Int. J. Comput. Vis. 130(6): 1440-1458 (2022) - [j143]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Correction to: Learning Contrastive Representation for Semantic Correspondence. Int. J. Comput. Vis. 130(6): 1607 (2022) - [j142]Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Björn Stenger, Ming-Hsuan Yang, Hongdong Li:
Deep Image Deblurring: A Survey. Int. J. Comput. Vis. 130(9): 2103-2130 (2022) - [j141]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Understanding Synonymous Referring Expressions via Contrastive Features. Int. J. Comput. Vis. 130(10): 2501-2516 (2022) - [j140]Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang, Huimin Ma:
Co-attention dictionary network for weakly-supervised semantic segmentation. Neurocomputing 486: 272-285 (2022) - [j139]Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1591-1603 (2022) - [j138]Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1905-1921 (2022) - [j137]Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang:
Deep Object Tracking With Shrinkage Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2386-2401 (2022) - [j136]Wenqi Ren, Jiawei Zhang, Jinshan Pan, Sifei Liu, Jimmy S. Ren, Junping Du, Xiaochun Cao, Ming-Hsuan Yang:
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 3974-3987 (2022) - [j135]Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang:
Weakly Supervised Object Localization and Detection: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5866-5885 (2022) - [j134]Jiangxin Dong, Jinshan Pan, Jimmy S. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Learning Spatially Variant Linear Representation Models for Joint Filtering. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8355-8370 (2022) - [j133]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions With Layered Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8387-8402 (2022) - [j132]Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, Kyoung Mu Lee:
Toward Real-World Super-Resolution via Adaptive Downsampling Models. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8657-8670 (2022) - [j131]Wei-Sheng Lai, Yi-Chang Shih, Chia-Kai Liang, Ming-Hsuan Yang:
Correcting Face Distortion in Wide-Angle Videos. IEEE Trans. Image Process. 31: 366-378 (2022) - [c322]Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection. BMVC 2022: 185 - [c321]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
On Temporal Granularity in Self-Supervised Video Representation Learning. BMVC 2022: 541 - [c320]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CVPR 2022: 5718-5729 - [c319]Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CVPR 2022: 5749-5758 - [c318]Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang:
InOut: Diverse Image Outpainting via GAN Inversion. CVPR 2022: 11421-11430 - [c317]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CVPR 2022: 13957-13966 - [c316]Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang:
Video Frame Interpolation Transformer. CVPR 2022: 17461-17470 - [c315]Hanhua Ye, Guorong Li, Yuankai Qi, Shuhui Wang, Qingming Huang, Ming-Hsuan Yang:
Hierarchical Modular Network for Video Captioning. CVPR 2022: 17918-17927 - [c314]Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang:
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. ECCV (13) 2022: 37-54 - [c313]Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia:
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation. ECCV (31) 2022: 59-77 - [c312]An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang:
Autoregressive 3D Shape Generation via Canonical Mapping. ECCV (3) 2022: 89-104 - [c311]Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma:
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer. ECCV (39) 2022: 107-124 - [c310]Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang:
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution. ECCV (19) 2022: 217-234 - [c309]Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu:
Scraping Textures from Natural Images for Synthesis and Editing. ECCV (15) 2022: 391-408 - [c308]Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang:
Learning Visibility for Robust Dense Human Body Estimation. ECCV (1) 2022: 412-428 - [c307]Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Class-Agnostic Object Detection with Multi-modal Transformer. ECCV (10) 2022: 512-531 - [c306]Rakesh Jasti, Varun Jampani, Deqing Sun, Ming-Hsuan Yang:
Multi-Frame Video Prediction with Learnable Motion Encodings. ICIP 2022: 4198-4202 - [c305]Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang:
Incremental False Negative Detection for Contrastive Learning. ICLR 2022 - [c304]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. ICLR 2022 - [c303]Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang:
InfinityGAN: Towards Infinite-Pixel Image Synthesis. ICLR 2022 - [c302]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c301]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. NeurIPS 2022 - [c300]Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen, Ming-Hsuan Yang:
Video Salient Object Detection via Contrastive Features and Attention Modules. WACV 2022: 536-545 - [c299]Chun-Han Yao, Boqing Gong, Hang Qi, Yin Cui, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. WACV 2022: 1081-1090 - [c298]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. WACV 2022: 2663-2672 - [i216]Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Björn Stenger, Ming-Hsuan Yang, Hongdong Li:
Deep Image Deblurring: A Survey. CoRR abs/2201.10700 (2022) - [i215]Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma:
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer. CoRR abs/2203.10638 (2022) - [i214]Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang:
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing. CoRR abs/2203.12175 (2022) - [i213]Tiantian Wang, Nikolaos Sarafianos, Ming-Hsuan Yang, Tony Tung:
Animatable Neural Radiance Fields from Monocular RGB-D. CoRR abs/2204.01218 (2022) - [i212]An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang:
Autoregressive 3D Shape Generation via Canonical Mapping. CoRR abs/2204.01955 (2022) - [i211]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i210]Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Fast Image Restoration and Enhancement. CoRR abs/2205.01649 (2022) - [i209]Chieh Hubert Lin, Hsin-Ying Lee, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features. CoRR abs/2206.01202 (2022) - [i208]Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang:
FlowNAS: Neural Architecture Search for Optical Flow Estimation. CoRR abs/2207.01271 (2022) - [i207]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery. CoRR abs/2207.03434 (2022) - [i206]Rui Qian, Yeqing Li, Zheng Xu, Ming-Hsuan Yang, Serge J. Belongie, Yin Cui:
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models. CoRR abs/2207.07646 (2022) - [i205]Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhiyong Liu:
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning. CoRR abs/2208.00979 (2022) - [i204]Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang:
3D Vision with Transformers: A Survey. CoRR abs/2208.04309 (2022) - [i203]Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang:
Learning Visibility for Robust Dense Human Body Estimation. CoRR abs/2208.10652 (2022) - [i202]Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui:
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR abs/2209.00796 (2022) - [i201]Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, Ming-Hsuan Yang:
GAN-based Facial Attribute Manipulation. CoRR abs/2210.12683 (2022) - [i200]Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang, Ran He:
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data. CoRR abs/2210.15137 (2022) - [i199]Lu Qi, Jason Kuen, Weidong Guo, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang:
Fine-Grained Entity Segmentation. CoRR abs/2211.05776 (2022) - [i198]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - [i197]Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu, Shengyang Dai, Ming-Hsuan Yang:
Exploiting Category Names for Few-Shot Classification with Vision-Language Models. CoRR abs/2211.16594 (2022) - [i196]Yunhao Ge, Jie Ren, Yuxiao Wang, Andrew Gallagher, Ming-Hsuan Yang, Laurent Itti, Hartwig Adam, Balaji Lakshminarayanan, Jiaping Zhao:
Improving Zero-shot Generalization and Robustness of Multi-modal Models. CoRR abs/2212.01758 (2022) - [i195]Hsin-Ping Huang, Charles Herrmann, Junhwa Hur, Erika Lu, Kyle Sargent, Austin Stone, Ming-Hsuan Yang, Deqing Sun:
Self-supervised AutoFlow. CoRR abs/2212.01762 (2022) - [i194]Gaoxiang Cong, Liang Li, Yuankai Qi, Zhengjun Zha, Qi Wu, Wenyu Wang, Bin Jiang, Ming-Hsuan Yang, Qingming Huang:
Learning to Dub Movies via Hierarchical Prosody Models. CoRR abs/2212.04054 (2022) - [i193]Xinyan Liu, Guorong Li, Yuankai Qi, Zhenjun Han, Qingming Huang, Ming-Hsuan Yang, Nicu Sebe:
Consistency-Aware Anchor Pyramid Network for Crowd Localization. CoRR abs/2212.04067 (2022) - [i192]Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang:
Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection. CoRR abs/2212.04090 (2022) - [i191]Ziheng Yan, Yuankai Qi, Guorong Li, Xinyan Liu, Weigang Zhang, Qingming Huang, Ming-Hsuan Yang:
Progressive Multi-resolution Loss for Crowd Counting. CoRR abs/2212.04127 (2022) - [i190]Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan:
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation. CoRR abs/2212.04497 (2022) - [i189]Youming Deng, Xueting Li, Sifei Liu, Ming-Hsuan Yang:
DIP: Differentiable Interreflection-aware Physics-based Inverse Rendering. CoRR abs/2212.04705 (2022) - [i188]Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang:
MAGVIT: Masked Generative Video Transformer. CoRR abs/2212.05199 (2022) - [i187]Cheng-Ju Ho, Chen-Hsuan Tai, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Learning Object-level Point Augmentor for Semi-supervised 3D Object Detection. CoRR abs/2212.09273 (2022) - [i186]Chun-Han Yao, Wei-Chih Hung, Yuanzhen Li, Michael Rubinstein, Ming-Hsuan Yang, Varun Jampani:
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. CoRR abs/2212.11042 (2022) - [i185]Christoph Mayer, Martin Danelljan, Ming-Hsuan Yang, Vittorio Ferrari, Luc Van Gool, Alina Kuznetsova:
Beyond SOT: It's Time to Track Multiple Generic Objects at Once. CoRR abs/2212.11920 (2022) - 2021
- [j130]Jinshan Pan, Deqing Sun, Jian Yang, Wangmeng Zuo, Paolo Favaro, Yasuyuki Matsushita, Ming-Hsuan Yang:
Editorial for CVIU_DL for image restoration. Comput. Vis. Image Underst. 208-209: 103222 (2021) - [j129]Yun-Chun Chen, Marco Piccirilli, Robinson Piramuthu, Ming-Hsuan Yang:
Self-attentive 3D human pose and shape estimation from videos. Comput. Vis. Image Underst. 213: 103305 (2021) - [j128]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. Int. J. Comput. Vis. 129(9): 2663-2679 (2021) - [j127]Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim:
Unsupervised feature learning for self-tuning neural networks. Neural Networks 133: 103-111 (2021) - [j126]Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang:
Simultaneous Fidelity and Regularization Learning for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 284-299 (2021) - [j125]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xin-Yu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-Scale Backbone Architecture. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 652-662 (2021) - [j124]Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 933-948 (2021) - [j123]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1605-1619 (2021) - [j122]Jinshan Pan, Jiangxin Dong, Yang Liu, Jiawei Zhang, Jimmy S. J. Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang:
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2449-2462 (2021) - [j121]Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 43(10): 3632-3647 (2021) - [j120]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Learning Recurrent Memory Activation Networks for Visual Tracking. IEEE Trans. Image Process. 30: 725-738 (2021) - [j119]Peiyu Yang, Guofeng Zhang, Lu Wang, Lisheng Xu, Qingxu Deng, Ming-Hsuan Yang:
A Part-Aware Multi-Scale Fully Convolutional Network for Pedestrian Detection. IEEE Trans. Intell. Transp. Syst. 22(2): 1125-1137 (2021) - [c297]Taihong Xiao, Xin-Yu Zhang, Hao-Lin Jia, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. AISTATS 2021: 73-81 - [c296]Hwanjun Song, Eunyoung Kim, Varun Jampani, Deqing Sun, Jae-Gil Lee, Ming-Hsuan Yang:
Exploiting Scene Depth for Object Detection with Multimodal Transformers. BMVC 2021: 265 - [c295]Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang:
Decoupled Dynamic Filter Networks. CVPR 2021: 6647-6656 - [c294]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CVPR 2021: 6964-6974 - [c293]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks Under Limited Data. CVPR 2021: 7921-7931 - [c292]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CVPR 2021: 14821-14831 - [c291]Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun:
ReMix: Towards Image-to-Image Translation With Limited Data. CVPR 2021: 15018-15027 - [c290]Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. ICCV 2021: 1635-1644 - [c289]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Hybrid Neural Fusion for Full-frame Video Stabilization. ICCV 2021: 2279-2288 - [c288]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. ICCV 2021: 2523-2532 - [c287]Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, Ming-Hsuan Yang:
Video Matting via Consistency-Regularized Graph Neural Networks. ICCV 2021: 4882-4891 - [c286]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. ICCV 2021: 12961-12970 - [c285]Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. ICCV 2021: 13588-13597 - [c284]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. ICCV 2021: 13849-13858 - [c283]Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
Benchmarking Ultra-High-Definition Image Super-resolution. ICCV 2021: 14749-14758 - [c282]An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu:
Learning 3D Dense Correspondence via Canonical Point Autoencoder. NeurIPS 2021: 6608-6620 - [c281]Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing. NeurIPS 2021: 11449-11461 - [c280]Muzammal Naseer, Kanchana Ranasinghe, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. NeurIPS 2021: 23296-23308 - [c279]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
End-to-end Multi-modal Video Temporal Grounding. NeurIPS 2021: 28442-28453 - [c278]Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Structured sparsification with joint optimization of group convolution and channel shuffle. UAI 2021: 440-450 - [c277]Yijun Li, Lu Jiang, Ming-Hsuan Yang:
Controllable and Progressive Image Extrapolation. WACV 2021: 2139-2148 - [c276]Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew G. Howard, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar, Feng Yang:
Multi-path Neural Networks for On-device Multi-domain Visual Classification. WACV 2021: 3018-3027 - [i184]Aditya Arora, Muhammad Haris, Syed Waqas Zamir, Munawar Hayat, Fahad Shahbaz Khan, Ling Shao, Ming-Hsuan Yang:
Low Light Image Enhancement via Global and Local Context Modeling. CoRR abs/2101.00850 (2021) - [i183]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. CoRR abs/2101.05278 (2021) - [i182]Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang:
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. CoRR abs/2101.10760 (2021) - [i181]Xiangyu Xu, Yongrui Ma, Wenxiu Sun, Ming-Hsuan Yang:
Exploiting Raw Images for Real-Scene Super-Resolution. CoRR abs/2102.01579 (2021) - [i180]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Multi-Stage Progressive Image Restoration. CoRR abs/2102.02808 (2021) - [i179]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Neural Re-rendering for Full-frame Video Stabilization. CoRR abs/2102.06205 (2021) - [i178]Yun-Chun Chen, Marco Piccirilli, Robinson Piramuthu, Ming-Hsuan Yang:
Self-Attentive 3D Human Pose and Shape Estimation from Videos. CoRR abs/2103.14182 (2021) - [i177]Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun:
ReMix: Towards Image-to-Image Translation with Limited Data. CoRR abs/2103.16835 (2021) - [i176]Yan-Bo Lin, Hung-Yu Tseng, Hsin-Ying Lee, Yen-Yu Lin, Ming-Hsuan Yang:
Unsupervised Sound Localization via Iterative Contrastive Learning. CoRR abs/2104.00315 (2021) - [i175]Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang:
In&Out : Diverse Image Outpainting via GAN Inversion. CoRR abs/2104.00675 (2021) - [i174]Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang:
Regularizing Generative Adversarial Networks under Limited Data. CoRR abs/2104.03310 (2021) - [i173]Chieh Hubert Lin, Hsin-Ying Lee, Yen-Chi Cheng, Sergey Tulyakov, Ming-Hsuan Yang:
InfinityGAN: Towards Infinite-Resolution Image Synthesis. CoRR abs/2104.03963 (2021) - [i172]Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu:
Know What and Know Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. CoRR abs/2104.04167 (2021) - [i171]Dingwen Zhang, Junwei Han, Gong Cheng, Ming-Hsuan Yang:
Weakly Supervised Object Localization and Detection: A Survey. CoRR abs/2104.07918 (2021) - [i170]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Understanding Synonymous Referring Expressions via Contrastive Features. CoRR abs/2104.10156 (2021) - [i169]Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong:
2.5D Visual Relationship Detection. CoRR abs/2104.12727 (2021) - [i168]Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang:
Decoupled Dynamic Filter Networks. CoRR abs/2104.14107 (2021) - [i167]Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar:
COMISR: Compression-Informed Video Super-Resolution. CoRR abs/2105.01237 (2021) - [i166]Muzammal Naseer, Kanchana Ranasinghe, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Intriguing Properties of Vision Transformers. CoRR abs/2105.10497 (2021) - [i165]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Kumar Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. CoRR abs/2105.13509 (2021) - [i164]Shanghua Gao, Zhong-Yu Li, Ming-Hsuan Yang, Ming-Ming Cheng, Junwei Han, Philip H. S. Torr:
Large-scale Unsupervised Semantic Segmentation. CoRR abs/2106.03149 (2021) - [i163]Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang:
Incremental False Negative Detection for Contrastive Learning. CoRR abs/2106.03719 (2021) - [i162]Xin Li, Wenjie Pei, Zikun Zhou, Zhenyu He, Huchuan Lu, Ming-Hsuan Yang:
Crop-Transform-Paste: Self-Supervised Learning for Visual Tracking. CoRR abs/2106.10900 (2021) - [i161]An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu:
Learning 3D Dense Correspondence via Canonical Point Autoencoder. CoRR abs/2107.04867 (2021) - [i160]Yi-Wen Chen, Yi-Hsuan Tsai, Ming-Hsuan Yang:
End-to-end Multi-modal Video Temporal Grounding. CoRR abs/2107.05624 (2021) - [i159]Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang:
Discovering 3D Parts from Image Collections. CoRR abs/2107.13629 (2021) - [i158]Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang:
Federated Multi-Target Domain Adaptation. CoRR abs/2108.07792 (2021) - [i157]Sanghyun Son, Jaeha Kim, Wei-Sheng Lai, Ming-Hsuan Yang, Kyoung Mu Lee:
Toward Real-World Super-Resolution via Adaptive Downsampling Models. CoRR abs/2109.03444 (2021) - [i156]Taihong Xiao, Sifei Liu, Shalini De Mello, Zhiding Yu, Jan Kautz, Ming-Hsuan Yang:
Learning Contrastive Representation for Semantic Correspondence. CoRR abs/2109.10967 (2021) - [i155]Akshay Dudhane, Syed Waqas Zamir, Salman H. Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Burst Image Restoration and Enhancement. CoRR abs/2110.03680 (2021) - [i154]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i153]Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang:
Semi-supervised Multi-task Learning for Semantics and Depth. CoRR abs/2110.07197 (2021) - [i152]Yi-Wen Chen, Xiaojie Jin, Xiaohui Shen, Ming-Hsuan Yang:
Video Salient Object Detection via Contrastive Features and Attention Modules. CoRR abs/2111.02368 (2021) - [i151]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang:
Restormer: Efficient Transformer for High-Resolution Image Restoration. CoRR abs/2111.09881 (2021) - [i150]Wei-Sheng Lai, Yi-Chang Shih, Chia-Kai Liang, Ming-Hsuan Yang:
Correcting Face Distortion in Wide-Angle Videos. CoRR abs/2111.09950 (2021) - [i149]Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang:
Multi-modal Transformers Excel at Class-agnostic Object Detection. CoRR abs/2111.11430 (2021) - [i148]Hanhua Ye, Guorong Li, Yuankai Qi, Shuhui Wang, Qingming Huang, Ming-Hsuan Yang:
Hierarchical Modular Network for Video Captioning. CoRR abs/2111.12476 (2021) - [i147]Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang:
Video Frame Interpolation Transformer. CoRR abs/2111.13817 (2021) - [i146]Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang:
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution. CoRR abs/2111.13876 (2021) - [i145]Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu:
Learning Continuous Environment Fields via Implicit Functions. CoRR abs/2111.13997 (2021) - [i144]Kaihao Zhang, Wenhan Luo, Boheng Chen, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang:
Benchmarking Deep Deblurring Algorithms: A Large-Scale Multi-Cause Dataset and A New Baseline Model. CoRR abs/2112.00234 (2021) - [i143]Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui:
Exploring Temporal Granularity in Self-Supervised Video Representation Learning. CoRR abs/2112.04480 (2021) - [i142]Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu:
Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. CoRR abs/2112.05181 (2021) - [i141]Xin Li, Qiao Liu, Wenjie Pei, Qiuhong Shen, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang:
An Informative Tracking Benchmark. CoRR abs/2112.06467 (2021) - [i140]Qing Li, Boqing Gong, Yin Cui, Dan Kondratyuk, Xianzhi Du, Ming-Hsuan Yang, Matthew Brown:
Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. CoRR abs/2112.07074 (2021) - 2020
- [j118]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
UA-DETRAC: A new benchmark and protocol for multi-object detection and tracking. Comput. Vis. Image Underst. 193: 102907 (2020) - [j117]Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang:
Tracking Persons-of-Interest via Unsupervised Representation Adaptation. Int. J. Comput. Vis. 128(1): 96-120 (2020) - [j116]Wenqi Ren, Jinshan Pan, Hua Zhang, Xiaochun Cao, Ming-Hsuan Yang:
Single Image Dehazing via Multi-scale Convolutional Neural Networks with Holistic Edges. Int. J. Comput. Vis. 128(1): 240-259 (2020) - [j115]Yi-Wen Chen, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
VOSTR: Video Object Segmentation via Transferable Representations. Int. J. Comput. Vis. 128(4): 931-949 (2020) - [j114]Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. Int. J. Comput. Vis. 128(6): 1699-1721 (2020) - [j113]Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning. Int. J. Comput. Vis. 128(6): 1736-1749 (2020) - [j112]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Exploiting Semantics for Face Image Deblurring. Int. J. Comput. Vis. 128(7): 1829-1846 (2020) - [j111]Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang:
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Int. J. Comput. Vis. 128(10): 2402-2417 (2020) - [j110]Xuhong Li, Yves Grandvalet, Franck Davoine, Jingchun Cheng, Yin Cui, Han Zhang, Serge J. Belongie, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Transfer learning in computer vision tasks: Remember where you come from. Image Vis. Comput. 93: 103853 (2020) - [j109]Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang:
Progressive Representation Adaptation for Weakly Supervised Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1424-1438 (2020) - [j108]Jufeng Yang, Jie Liang, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang:
Subspace Clustering via Good Neighbors. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1537-1544 (2020) - [j107]Lerenhan Li, Yunlong Dong, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Semi-Supervised Image Dehazing. IEEE Trans. Image Process. 29: 2766-2779 (2020) - [j106]Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang:
Attribute-Guided Attention for Referring Expression Generation and Comprehension. IEEE Trans. Image Process. 29: 5244-5258 (2020) - [j105]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Dynamic Scene Deblurring by Depth Guided Model. IEEE Trans. Image Process. 29: 5273-5288 (2020) - [j104]Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection. IEEE Trans. Image Process. 29: 6438-6451 (2020) - [j103]Xiangyu Xu, Muchen Li, Wenxiu Sun, Ming-Hsuan Yang:
Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising. IEEE Trans. Image Process. 29: 7153-7165 (2020) - [c275]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. AAAI 2020: 12434-12441 - [c274]Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-learning via Gradient Dropout. ACCV (4) 2020: 218-234 - [c273]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. BMVC 2020 - [c272]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. BMVC 2020 - [c271]Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. CVPR 2020: 1648-1657 - [c270]Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. CVPR 2020: 1857-1866 - [c269]Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang:
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion. CVPR 2020: 2154-2164 - [c268]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CVPR 2020: 2693-2702 - [c267]Debang Li, Junge Zhang, Kaiqi Huang, Ming-Hsuan Yang:
Composing Good Shots by Exploiting Mutual Relations. CVPR 2020: 4212-4221 - [c266]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective. CVPR 2020: 7607-7616 - [c265]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration. CVPR 2020: 8988-8997 - [c264]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions. CVPR 2020: 14203-14212 - [c263]Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. ECCV (18) 2020: 158-174 - [c262]Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang:
Controllable Image Synthesis via SegVAE. ECCV (7) 2020: 159-174 - [c261]Chun-Han Yao, Chen Fang, Xiaohui Shen, Yangyue Wan, Ming-Hsuan Yang:
Video Object Detection via Object-Level Temporal Aggregation. ECCV (14) 2020: 160-177 - [c260]Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang:
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. ECCV (8) 2020: 242-257 - [c259]Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang:
Learnable Cost Volume Using the Cayley Representation. ECCV (9) 2020: 483-499 - [c258]Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B. Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang:
Neural Design Network: Graphic Layout Generation with Constraints. ECCV (3) 2020: 491-506 - [c257]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. ECCV (25) 2020: 492-511 - [c256]Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Self-supervised Single-View 3D Reconstruction via Semantic Consistency. ECCV (14) 2020: 677-693 - [c255]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c254]Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Every Pixel Matters: Center-Aware Feature Alignment for Domain Adaptive Object Detector. ECCV (9) 2020: 733-748 - [c253]Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang:
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification. ECCV (24) 2020: 785-800 - [c252]Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim:
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition. ICLR 2020 - [c251]Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, Ming-Hsuan Yang:
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation. ICLR 2020 - [c250]Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle:
WW-Nets: Dual Neural Networks for Object Detection. IJCNN 2020: 1-8 - [c249]Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. NeurIPS 2020 - [c248]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. WACV 2020: 738-746 - [c247]Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang:
Visual Question Answering on 360° Images. WACV 2020: 1596-1605 - [c246]Weixiang Hong, Yu-Ting Chang, Haifang Qin, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Image Hashing via Linear Discriminant Learning. WACV 2020: 2520-2528 - [c245]Wei Gao, Yijun Li, Yihang Yin, Ming-Hsuan Yang:
Fast Video Multi-Style Transfer. WACV 2020: 3211-3219 - [i139]Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency. CoRR abs/2001.03182 (2020) - [i138]Shih-Han Chou, Wei-Lun Chao, Wei-Sheng Lai, Min Sun, Ming-Hsuan Yang:
Visual Question Answering on 360° Images. CoRR abs/2001.03339 (2020) - [i137]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. CoRR abs/2001.06822 (2020) - [i136]Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang, Ming-Hsuan Yang:
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation. CoRR abs/2001.08735 (2020) - [i135]Xiang Wang, Sifei Liu, Huimin Ma, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation by Iterative Affinity Learning. CoRR abs/2002.08098 (2020) - [i134]Xin-Yu Zhang, Kai Zhao, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Model-Agnostic Structured Sparsification with Learnable Channel Shuffle. CoRR abs/2002.08127 (2020) - [i133]Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Degraded Image Super Resolution. CoRR abs/2003.00893 (2020) - [i132]Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Self-supervised Single-view 3D Reconstruction via Semantic Consistency. CoRR abs/2003.06473 (2020) - [i131]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
Learning Enriched Features for Real Image Restoration and Enhancement. CoRR abs/2003.06792 (2020) - [i130]Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
CycleISP: Real Image Restoration via Improved Data Synthesis. CoRR abs/2003.07761 (2020) - [i129]Huan Wang, Yijun Li, Yuehai Wang, Haoji Hu, Ming-Hsuan Yang:
Collaborative Distillation for Ultra-Resolution Universal Style Transfer. CoRR abs/2003.08436 (2020) - [i128]Muhammad Abdullah Jamal, Matthew Brown, Ming-Hsuan Yang, Liqiang Wang, Boqing Gong:
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective. CoRR abs/2003.10780 (2020) - [i127]Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge. CoRR abs/2003.13260 (2020) - [i126]Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, Yen-Yu Lin:
Deep Semantic Matching with Foreground Detection and Cycle-Consistency. CoRR abs/2004.00144 (2020) - [i125]Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline. CoRR abs/2004.01179 (2020) - [i124]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions. CoRR abs/2004.01180 (2020) - [i123]Hung-Yu Tseng, Yi-Wen Chen, Yi-Hsuan Tsai, Sifei Liu, Yen-Yu Lin, Ming-Hsuan Yang:
Regularizing Meta-Learning via Gradient Dropout. CoRR abs/2004.05859 (2020) - [i122]Hang Dong, Jinshan Pan, Lei Xiang, Zhe Hu, Xinyi Zhang, Fei Wang, Ming-Hsuan Yang:
Multi-Scale Boosted Dehazing Network with Dense Feature Fusion. CoRR abs/2004.13388 (2020) - [i121]Mohammad K. Ebrahimpour, J. Benjamin Falandays, Samuel Spevack, Ming-Hsuan Yang, David C. Noelle:
WW-Nets: Dual Neural Networks for Object Detection. CoRR abs/2005.07787 (2020) - [i120]Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson L. Reese, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle:
Ventral-Dorsal Neural Networks: Object Detection via Selective Attention. CoRR abs/2005.09727 (2020) - [i119]Xin-Yu Zhang, Hao-Lin Jia, Taihong Xiao, Ming-Ming Cheng, Ming-Hsuan Yang:
Semi-Supervised Learning with Meta-Gradient. CoRR abs/2007.03966 (2020) - [i118]Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir G. Kim, Ming-Hsuan Yang:
Modeling Artistic Workflows for Image Generation and Editing. CoRR abs/2007.07238 (2020) - [i117]Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang:
Controllable Image Synthesis via SegVAE. CoRR abs/2007.08397 (2020) - [i116]Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang:
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval. CoRR abs/2007.08513 (2020) - [i115]Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang, Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang:
Learnable Cost Volume Using the Cayley Representation. CoRR abs/2007.11431 (2020) - [i114]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Semantic Segmentation via Sub-category Exploration. CoRR abs/2008.01183 (2020) - [i113]Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung, Robinson Piramuthu, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization. CoRR abs/2008.01201 (2020) - [i112]Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui:
Spatiotemporal Contrastive Video Representation Learning. CoRR abs/2008.03800 (2020) - [i111]Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang:
Learning to See Through Obstructions with Layered Decomposition. CoRR abs/2008.04902 (2020) - [i110]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Yu-Ting Chang, Yijun Li, Deng Cai, Ming-Hsuan Yang:
Learning to Caricature via Semantic Shape Transform. CoRR abs/2008.05090 (2020) - [i109]Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov:
SoDA: Multi-Object Tracking with Soft Data Association. CoRR abs/2008.07725 (2020) - [i108]Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang:
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector. CoRR abs/2008.08574 (2020) - [i107]Qifei Wang, Junjie Ke, Joshua Greaves, Grace Chu, Gabriel Bender, Luciano Sbaiz, Alec Go, Andrew Howard, Feng Yang, Ming-Hsuan Yang, Jeff Gilbert, Peyman Milanfar:
Multi-path Neural Networks for On-device Multi-domain Visual Classification. CoRR abs/2010.04904 (2020) - [i106]Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang:
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization. CoRR abs/2010.09211 (2020) - [i105]Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Siwei Ma, Ming-Hsuan Yang:
Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors. CoRR abs/2011.01215 (2020) - [i104]Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong, Ming-Hsuan Yang:
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification. CoRR abs/2011.09066 (2020) - [i103]Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang:
Unsupervised Discovery of Disentangled Manifolds in GANs. CoRR abs/2011.11842 (2020) - [i102]Xueting Li, Sifei Liu, Shalini De Mello, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Online Adaptation for Consistent Mesh Reconstruction in the Wild. CoRR abs/2012.03196 (2020) - [i101]Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao:
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. CoRR abs/2012.06440 (2020)
2010 – 2019
- 2019
- [j102]Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, Kuk-Jin Yoon:
Structural Constraint Data Association for Online Multi-object Tracking. Int. J. Comput. Vis. 127(1): 1-21 (2019) - [j101]Yibing Song, Jiawei Zhang, Lijun Gong, Shengfeng He, Linchao Bao, Jinshan Pan, Qingxiong Yang, Ming-Hsuan Yang:
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement. Int. J. Comput. Vis. 127(6-7): 785-800 (2019) - [j100]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Blind Image Deblurring via Deep Discriminative Priors. Int. J. Comput. Vis. 127(8): 1025-1043 (2019) - [j99]Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Head and Body Orientation Estimation Using Convolutional Random Projection Forests. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 107-120 (2019) - [j98]Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Learning Multi-Task Correlation Particle Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 365-378 (2019) - [j97]Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Robust Structural Sparse Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 473-486 (2019) - [j96]Xi Li, Liming Zhao, Wei Ji, Yiming Wu, Fei Wu, Ming-Hsuan Yang, Dacheng Tao, Ian Reid:
Multi-Task Structure-Aware Context Modeling for Robust Keypoint-Based Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 915-927 (2019) - [j95]Yuankai Qi, Shengping Zhang, Lei Qin, Qingming Huang, Hongxun Yao, Jongwoo Lim, Ming-Hsuan Yang:
Hedging Deep Features for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1116-1130 (2019) - [j94]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1158-1172 (2019) - [j93]Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang:
Learning to Deblur Images with Exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 41(6): 1412-1425 (2019) - [j92]Yijun Li, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Joint Image Filtering with Deep Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1909-1923 (2019) - [j91]Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2599-2613 (2019) - [j90]Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Robust Visual Tracking via Hierarchical Convolutional Features. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2709-2723 (2019) - [j89]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2770-2782 (2019) - [j88]Mingliang Chen, Jiawei Zhang, Shengfeng He, Qingxiong Yang, Qing Li, Ming-Hsuan Yang:
Interactive Hierarchical Object Proposals. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2552-2566 (2019) - [j87]Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, Ming-Hsuan Yang:
Low-Light Image Enhancement via a Deep Hybrid Network. IEEE Trans. Image Process. 28(9): 4364-4375 (2019) - [j86]Zimo Liu, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang:
Person Reidentification by Joint Local Distance Metric and Feature Transformation. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2999-3009 (2019) - [j85]Yatao An Bian, Xiong Li, Yuncai Liu, Ming-Hsuan Yang:
Parallel Coordinate Descent Newton Method for Efficient L1 -Regularized Loss Minimization. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3233-3245 (2019) - [c244]Yuankai Qi, Shengping Zhang, Weigang Zhang, Li Su, Qingming Huang, Ming-Hsuan Yang:
Learning Attribute-Specific Representations for Visual Tracking. AAAI 2019: 8835-8842 - [c243]Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. BMVC 2019: 39 - [c242]Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. BMVC 2019: 130 - [c241]Haifang Qin, Weixiang Hong, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang:
A Top-Down Unified Framework for Instance-level Human Parsing. BMVC 2019: 240 - [c240]Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang:
Referring Expression Object Segmentation with Caption-Aware Consistency. BMVC 2019: 263 - [c239]Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CVPR Workshops 2019: 1-5 - [c238]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CVPR 2019: 869-878 - [c237]Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. CVPR 2019: 1369-1378 - [c236]Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang:
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. CVPR 2019: 1429-1437 - [c235]Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang:
Im2Pencil: Controllable Pencil Illustration From Photographs. CVPR 2019: 1525-1534 - [c234]Jinshan Pan, Jiangxin Dong, Jimmy S. J. Ren, Liang Lin, Jinhui Tang, Ming-Hsuan Yang:
Spatially Variant Linear Representation Models for Joint Filtering. CVPR 2019: 1702-1711 - [c233]Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency. CVPR 2019: 1791-1800 - [c232]Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Luc Van Gool, Lei Zhang, Ming-Hsuan Yang, Tiantong Guo, Xuelu Li, Venkateswararao Cherukuri, Vishal Monga, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Dongwon Park, Se Young Chun, Ming Hong, Jinying Huang, Yizi Chen, Shuxin Chen, Bomin Wang, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Jing Liu, Sanchayan Santra, Ranjan Mondal, Bhabatosh Chanda, Peter Morales, Tzofi Klinghoffer, Le Manh Quan, Yong-Guk Kim, Xiao Liang, Runde Li, Jinshan Pan, Jinhui Tang, Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Raimondo Schettini, Simone Bianco, Flavio Piccoli, Claudio Cusano, Luigi Celona, Sunhee Hwang, Yu Seung Ma, Hyeran Byun, Subrahmanyam Murala, Akshay Dudhane, Harshjeet Singh Aulakh, Tianxiang Zheng, Tao Zhang, Weining Qin, Runnan Zhou, Shanhu Wang, Jean-Philippe Tarel, Chuansheng Wang, Jiawei Wu:
NTIRE 2019 Image Dehazing Challenge Report. CVPR Workshops 2019: 2241-2253 - [c231]Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
Depth-Aware Video Frame Interpolation. CVPR 2019: 3703-3712 - [c230]Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang:
Learning Linear Transformations for Fast Image and Video Style Transfer. CVPR 2019: 3809-3817 - [c229]Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos Into Videos. CVPR 2019: 10061-10070 - [c228]Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. CVPR 2019: 12368-12376 - [c227]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c226]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-Supervised Caricature Face Parsing Through Domain Adaptation. ICIP 2019: 3282-3286 - [c225]Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang:
Self-Supervised Audio Spatialization with Correspondence Classifier. ICIP 2019: 3347-3351 - [c224]Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei:
Eidetic 3D LSTM: A Model for Video Prediction and Beyond. ICLR (Poster) 2019 - [c223]Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang:
Joint-task Self-supervised Learning for Temporal Correspondence. NeurIPS 2019: 317-327 - [c222]Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, Ming-Hsuan Yang:
Quadratic Video Interpolation. NeurIPS 2019: 1645-1654 - [c221]Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. NeurIPS 2019: 3581-3591 - [c220]Mohammad K. Ebrahimpour, Jiayun Li, Yen-Yun Yu, Jackson Reesee, Azadeh Moghtaderi, Ming-Hsuan Yang, David C. Noelle:
Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention. WACV 2019: 986-994 - [c219]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. WACV 2019: 2077-2086 - [i100]Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. CoRR abs/1901.02444 (2019) - [i99]Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang:
Online Multi-Object Tracking with Dual Matching Attention Networks. CoRR abs/1902.00749 (2019) - [i98]Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang:
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis. CoRR abs/1903.05628 (2019) - [i97]Xueting Li, Sifei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz:
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments. CoRR abs/1903.05690 (2019) - [i96]Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang:
Inserting Videos into Videos. CoRR abs/1903.06571 (2019) - [i95]Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang:
Im2Pencil: Controllable Pencil Illustration from Photographs. CoRR abs/1903.08682 (2019) - [i94]Wenbo Bao, Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
Depth-Aware Video Frame Interpolation. CoRR abs/1904.00830 (2019) - [i93]Shanghua Gao, Ming-Ming Cheng, Kai Zhao, Xinyu Zhang, Ming-Hsuan Yang, Philip H. S. Torr:
Res2Net: A New Multi-scale Backbone Architecture. CoRR abs/1904.01169 (2019) - [i92]Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang:
Target-Aware Deep Tracking. CoRR abs/1904.01772 (2019) - [i91]Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang:
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. CoRR abs/1905.01270 (2019) - [i90]Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz:
SCOPS: Self-Supervised Co-Part Segmentation. CoRR abs/1905.01298 (2019) - [i89]Hung-Yu Tseng, Shalini De Mello, Jonathan Tremblay, Sifei Liu, Stan Birchfield, Ming-Hsuan Yang, Jan Kautz:
Few-Shot Viewpoint Estimation. CoRR abs/1905.04957 (2019) - [i88]Wenqing Chu, Wei-Chih Hung, Yi-Hsuan Tsai, Deng Cai, Ming-Hsuan Yang:
Weakly-supervised Caricature Face Parsing through Domain Adaptation. CoRR abs/1905.05091 (2019) - [i87]Yu-Ding Lu, Hsin-Ying Lee, Hung-Yu Tseng, Ming-Hsuan Yang:
Self-supervised Audio Spatialization with Correspondence Classifier. CoRR abs/1905.05375 (2019) - [i86]Zheheng Jiang, Zhihua Liu, Long Chen, Lei Tong, Xiangrong Zhang, Xiangyuan Lan, Danny Crookes, Ming-Hsuan Yang, Huiyu Zhou:
Detection and Tracking of Multiple Mice Using Part Proposal Networks. CoRR abs/1906.02831 (2019) - [i85]Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang:
Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation. CoRR abs/1906.05857 (2019) - [i84]Wei-Sheng Lai, Orazio Gallo, Jinwei Gu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Video Stitching for Linear Camera Arrays. CoRR abs/1907.13622 (2019) - [i83]Xueting Li, Sifei Liu, Shalini De Mello, Xiaolong Wang, Jan Kautz, Ming-Hsuan Yang:
Joint-task Self-supervised Learning for Temporal Correspondence. CoRR abs/1909.11895 (2019) - [i82]Yi-Wen Chen, Yi-Hsuan Tsai, Tiantian Wang, Yen-Yu Lin, Ming-Hsuan Yang:
Referring Expression Object Segmentation with Caption-Aware Consistency. CoRR abs/1910.04748 (2019) - [i81]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CoRR abs/1910.11319 (2019) - [i80]Xiangyu Xu, Li Siyao, Wenxiu Sun, Qian Yin, Ming-Hsuan Yang:
Quadratic video interpolation. CoRR abs/1911.00627 (2019) - [i79]Hsin-Ying Lee, Xiaodong Yang, Ming-Yu Liu, Ting-Chun Wang, Yu-Ding Lu, Ming-Hsuan Yang, Jan Kautz:
Dancing to Music. CoRR abs/1911.02001 (2019) - [i78]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Sources in Visual Scenes: Analysis and Applications. CoRR abs/1911.09649 (2019) - [i77]Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang:
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations. CoRR abs/1911.10143 (2019) - [i76]Hsin-Ying Lee, Weilong Yang, Lu Jiang, Madison Le, Irfan Essa, Haifeng Gong, Ming-Hsuan Yang:
Neural Design Network: Graphic Layout Generation with Constraints. CoRR abs/1912.09421 (2019) - [i75]Yijun Li, Lu Jiang, Ming-Hsuan Yang:
Controllable and Progressive Image Extrapolation. CoRR abs/1912.11711 (2019) - [i74]Xiaojie Jin, Jiang Wang, Joshua Slocum, Ming-Hsuan Yang, Shengyang Dai, Shuicheng Yan, Jiashi Feng:
RC-DARTS: Resource Constrained Differentiable Architecture Search. CoRR abs/1912.12814 (2019) - 2018
- [j84]Radu Timofte, Luc Van Gool, Ming-Hsuan Yang, Shai Avidan, Yasuyuki Matsushita, Qingxiong Yang:
Guest Editorial: Vision and Computational Photography and Graphics. Comput. Vis. Image Underst. 168: 1-2 (2018) - [j83]Yuki Kawana, Norimichi Ukita, Jia-Bin Huang, Ming-Hsuan Yang:
Ensemble convolutional neural networks for pose estimation. Comput. Vis. Image Underst. 169: 62-74 (2018) - [j82]Po-Chen Wu, Hung-Yu Tseng, Ming-Hsuan Yang, Shao-Yi Chien:
Direct pose estimation for planar objects. Comput. Vis. Image Underst. 172: 50-66 (2018) - [j81]Chih-Yuan Yang, Sifei Liu, Ming-Hsuan Yang:
Hallucinating Compressed Face Images. Int. J. Comput. Vis. 126(6): 597-614 (2018) - [j80]Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking. Int. J. Comput. Vis. 126(8): 771-796 (2018) - [j79]Mingliang Chen, Xing Wei, Qingxiong Yang, Qing Li, Gang Wang, Ming-Hsuan Yang:
Spatiotemporal GMM for Background Subtraction with Superpixel Hierarchy. IEEE Trans. Pattern Anal. Mach. Intell. 40(6): 1518-1525 (2018) - [j78]Jinshan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang:
Deblurring Images via Dark Channel Prior. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2315-2328 (2018) - [j77]Zhe Hu, Sunghyun Cho, Jue Wang, Ming-Hsuan Yang:
Deblurring Low-Light Images with Light Streaks. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2329-2341 (2018) - [j76]Kaihua Zhang, Qingshan Liu, Jian Yang, Ming-Hsuan Yang:
Visual tracking via Boolean map representations. Pattern Recognit. 81: 147-160 (2018) - [j75]Lijun Wang, Huchuan Lu, Ming-Hsuan Yang:
Constrained Superpixel Tracking. IEEE Trans. Cybern. 48(3): 1030-1041 (2018) - [j74]Xiangyu Xu, Jinshan Pan, Yu-Jin Zhang, Ming-Hsuan Yang:
Motion Blur Kernel Estimation via Deep Learning. IEEE Trans. Image Process. 27(1): 194-205 (2018) - [j73]Yao Sui, Guanghui Wang, Li Zhang, Ming-Hsuan Yang:
Exploiting Spatial-Temporal Locality of Tracking via Structured Dictionary Learning. IEEE Trans. Image Process. 27(3): 1282-1296 (2018) - [j72]Tianzhu Zhang, Si Liu, Changsheng Xu, Bin Liu, Ming-Hsuan Yang:
Correlation Particle Filter for Visual Tracking. IEEE Trans. Image Process. 27(6): 2676-2687 (2018) - [j71]Yuankai Qi, Lei Qin, Jian Zhang, Shengping Zhang, Qingming Huang, Ming-Hsuan Yang:
Structure-Aware Local Sparse Coding for Visual Tracking. IEEE Trans. Image Process. 27(8): 3857-3869 (2018) - [j70]Xing Wei, Qingxiong Yang, Yihong Gong, Narendra Ahuja, Ming-Hsuan Yang:
Superpixel Hierarchy. IEEE Trans. Image Process. 27(10): 4838-4849 (2018) - [j69]Si Liu, Zhen Wei, Yao Sun, Xinyu Ou, Junyu Lin, Bin Liu, Ming-Hsuan Yang:
Composing Semantic Collage for Image Retargeting. IEEE Trans. Image Process. 27(10): 5032-5043 (2018) - [j68]Jufeng Yang, Jie Liang, Hui Shen, Kai Wang, Paul L. Rosin, Ming-Hsuan Yang:
Dynamic Match Kernel With Deep Convolutional Features for Image Retrieval. IEEE Trans. Image Process. 27(11): 5288-5302 (2018) - [j67]Wei-Sheng Lai, Yujia Huang, Neel Joshi, Christopher James Buehler, Ming-Hsuan Yang, Sing Bing Kang:
Semantic-Driven Generation of Hyperlapse from 360 Degree Video. IEEE Trans. Vis. Comput. Graph. 24(9): 2610-2621 (2018) - [c218]Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang:
Retrieving and Classifying Affective Images via Deep Metric Learning. AAAI 2018: 491-498 - [c217]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-Specific Video Streaming. AAAI 2018: 7363-7370 - [c216]Jingchun Cheng, Han-Kai Hsu, Chen Fang, Hailin Jin, Shengjin Wang, Ming-Hsuan Yang:
Learning from PhotoShop Operation Videos: The PSOV Dataset. ACCV (4) 2018: 223-239 - [c215]Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, Yen-Yu Lin:
Deep Semantic Matching with Foreground Detection and Cycle-Consistency. ACCV (3) 2018: 347-362 - [c214]Cong Ma, Zhenjiang Miao, Min Li, Shaoyue Song, Ming-Hsuan Yang:
Detecting Anomalous Trajectories via Recurrent Neural Networks. ACCV (4) 2018: 370-382 - [c213]Yi-Wen Chen, Yi-Hsuan Tsai, Chu-Ya Yang, Yen-Yu Lin, Ming-Hsuan Yang:
Unseen Object Segmentation in Videos via Transferable Representations. ACCV (4) 2018: 615-631 - [c212]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-supervised Semantic Segmentation. BMVC 2018: 65 - [c211]Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Joint Image Deblurring and Super-Resolution. BMVC 2018: 153 - [c210]Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Correlation Tracking via Joint Discrimination and Reliability Learning. CVPR 2018: 489-497 - [c209]Wei-Chih Tu, Ming-Yu Liu, Varun Jampani, Deqing Sun, Shao-Yi Chien, Ming-Hsuan Yang, Jan Kautz:
Learning Superpixels With Segmentation-Aware Affinity Loss. CVPR 2018: 568-576 - [c208]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
On Learning Association of Sound Source and Visual Scenes. CVPR Workshops 2018: 2508-2509 - [c207]Jiawei Zhang, Jinshan Pan, Jimmy S. J. Ren, Yibing Song, Linchao Bao, Rynson W. H. Lau, Ming-Hsuan Yang:
Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks. CVPR 2018: 2521-2529 - [c206]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CVPR 2018: 2530-2539 - [c205]Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. CVPR 2018: 3070-3079 - [c204]Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection. CVPR 2018: 3089-3098 - [c203]Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang:
Gated Fusion Network for Single Image Dehazing. CVPR 2018: 3253-3261 - [c202]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CVPR 2018: 4358-4366 - [c201]Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang:
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. CVPR 2018: 4904-4913 - [c200]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Learning a Discriminative Prior for Blind Image Deblurring. CVPR 2018: 6616-6625 - [c199]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CVPR 2018: 7415-7424 - [c198]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CVPR 2018: 7472-7481 - [c197]Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang:
Weakly Supervised Coupled Networks for Visual Sentiment Analysis. CVPR 2018: 7584-7592 - [c196]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. CVPR 2018: 8260-8269 - [c195]Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Learning Spatial-Aware Regressions for Visual Tracking. CVPR 2018: 8962-8970 - [c194]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CVPR 2018: 8990-8999 - [c193]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CVPR 2018: 9000-9008 - [c192]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhen-Hua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c191]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. ECCV (5) 2018: 21-37 - [c190]Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Diverse Image-to-Image Translation via Disentangled Representations. ECCV (1) 2018: 36-52 - [c189]Xiangyu Xu, Deqing Sun, Sifei Liu, Wenqi Ren, Yu-Jin Zhang, Ming-Hsuan Yang, Jian Sun:
Rendering Portraitures from Monocular Camera and Beyond. ECCV (9) 2018: 36-51 - [c188]Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang:
Learning to Blend Photos. ECCV (7) 2018: 72-88 - [c187]Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Varun Jampani, Ming-Hsuan Yang, Jan Kautz:
Switchable Temporal Propagation Network. ECCV (7) 2018: 89-104 - [c186]Jongbin Ryu, Ming-Hsuan Yang, Jongwoo Lim:
DFT-based Transformation Invariant Pooling Layer for Visual Classification. ECCV (14) 2018: 89-104 - [c185]Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang:
Learning Blind Video Temporal Consistency. ECCV (15) 2018: 179-195 - [c184]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. ECCV (7) 2018: 363-380 - [c183]Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian D. Reid, Ming-Hsuan Yang:
Deep Regression Tracking with Shrinkage Loss. ECCV (14) 2018: 369-386 - [c182]Ji Zhu, Hua Yang, Nian Liu, Minyoung Kim, Wenjun Zhang, Ming-Hsuan Yang:
Online Multi-Object Tracking with Dual Matching Attention Networks. ECCV (5) 2018: 379-396 - [c181]Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz:
A Closed-Form Solution to Photorealistic Image Stylization. ECCV (3) 2018: 468-483 - [c180]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Flow-Grounded Spatial-Temporal Video Prediction from Still Images. ECCV (9) 2018: 609-625 - [c179]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Simple and Effective Fusion Approach for Multi-frame Optical Flow Estimation. ECCV Workshops (6) 2018: 706-710 - [c178]Jie Liang, Jufeng Yang, Hsin-Ying Lee, Kai Wang, Ming-Hsuan Yang:
Sub-GAN: An Unsupervised Generative Model via Subspaces. ECCV (11) 2018: 726-743 - [c177]Jiangxin Dong, Jinshan Pan, Deqing Sun, Zhixun Su, Ming-Hsuan Yang:
Learning Data Terms for Non-blind Deblurring. ECCV (11) 2018: 777-792 - [c176]Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin, Euntai Kim, Seungryong Kim:
CoVieW'18: The 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild. ACM Multimedia 2018: 2113-2115 - [c175]Wenqi Ren, Jiawei Zhang, Lin Ma, Jinshan Pan, Xiaochun Cao, Wangmeng Zuo, Wei Liu, Ming-Hsuan Yang:
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation. NeurIPS 2018: 295-305 - [c174]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Deep Attentive Tracking via Reciprocative Learning. NeurIPS 2018: 1935-1945 - [c173]Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-aware Synthesis and Placement of Object Instances. NeurIPS 2018: 10414-10424 - [c172]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. WACV 2018: 1727-1735 - [e6]Kwanghoon Sohn, Ming-Hsuan Yang, Hyeran Byun, Jongwoo Lim, Jison Hsu, Stephen Lin:
Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, CoVieW@MM 2018, Seoul, Republic of Korea, October 22, 2018. ACM 2018, ISBN 978-1-4503-5976-4 [contents] - [r4]Ming-Hsuan Yang:
Object Recognition. Encyclopedia of Database Systems (2nd ed.) 2018 - [i73]Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Generative Single Image Reflection Separation. CoRR abs/1801.04102 (2018) - [i72]Guangyu Zhong, Yi-Hsuan Tsai, Sifei Liu, Zhixun Su, Ming-Hsuan Yang:
Learning Video-Story Composition via Recurrent Neural Network. CoRR abs/1801.10281 (2018) - [i71]Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz:
A Closed-form Solution to Photorealistic Image Stylization. CoRR abs/1802.06474 (2018) - [i70]Wei-Chih Hung, Yi-Hsuan Tsai, Yan-Ting Liou, Yen-Yu Lin, Ming-Hsuan Yang:
Adversarial Learning for Semi-Supervised Semantic Segmentation. CoRR abs/1802.07934 (2018) - [i69]Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, Jan Kautz:
SPLATNet: Sparse Lattice Networks for Point Cloud Processing. CoRR abs/1802.08275 (2018) - [i68]Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, Manmohan Chandraker:
Learning to Adapt Structured Output Space for Semantic Segmentation. CoRR abs/1802.10349 (2018) - [i67]Ziyi Shen, Wei-Sheng Lai, Tingfa Xu, Jan Kautz, Ming-Hsuan Yang:
Deep Semantic Face Deblurring. CoRR abs/1803.03345 (2018) - [i66]Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang:
Learning a Discriminative Prior for Blind Image Deblurring. CoRR abs/1803.03363 (2018) - [i65]Arda Senocak, Tae-Hyun Oh, Junsik Kim, Ming-Hsuan Yang, In So Kweon:
Learning to Localize Sound Source in Visual Scenes. CoRR abs/1803.03849 (2018) - [i64]Feng Li, Cheng Tian, Wangmeng Zuo, Lei Zhang, Ming-Hsuan Yang:
Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking. CoRR abs/1803.08679 (2018) - [i63]Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, Xiaochun Cao, Wei Liu, Ming-Hsuan Yang:
Gated Fusion Network for Single Image Dehazing. CoRR abs/1804.00213 (2018) - [i62]Yibing Song, Chao Ma, Xiaohe Wu, Lijun Gong, Linchao Bao, Wangmeng Zuo, Chunhua Shen, Rynson W. H. Lau, Ming-Hsuan Yang:
VITAL: VIsual Tracking via Adversarial Learning. CoRR abs/1804.04273 (2018) - [i61]Dongwei Ren, Wangmeng Zuo, David Zhang, Lei Zhang, Ming-Hsuan Yang:
Simultaneous Fidelity and Regularization Learning for Image Restoration. CoRR abs/1804.04522 (2018) - [i60]Sifei Liu, Guangyu Zhong, Shalini De Mello, Jinwei Gu, Ming-Hsuan Yang, Jan Kautz:
Switchable Temporal Propagation Network. CoRR abs/1804.08758 (2018) - [i59]Chong Sun, Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Correlation Tracking via Joint Discrimination and Reliability Learning. CoRR abs/1804.08965 (2018) - [i58]Jinshan Pan, Sifei Liu, Deqing Sun, Jiawei Zhang, Yang Liu, Jimmy S. J. Ren, Zechao Li, Jinhui Tang, Huchuan Lu, Yu-Wing Tai, Ming-Hsuan Yang:
Learning Dual Convolutional Neural Networks for Low-Level Vision. CoRR abs/1805.05020 (2018) - [i57]Jinshan Pan, Wenqi Ren, Zhe Hu, Ming-Hsuan Yang:
Learning to Deblur Images with Exemplars. CoRR abs/1805.05503 (2018) - [i56]Jingchun Cheng, Yi-Hsuan Tsai, Wei-Chih Hung, Shengjin Wang, Ming-Hsuan Yang:
Fast and Accurate Online Video Object Segmentation via Tracking Parts. CoRR abs/1806.02323 (2018) - [i55]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Flow-Grounded Spatial-Temporal Video Prediction from Still Images. CoRR abs/1807.09755 (2018) - [i54]Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Superpixel Sampling Networks. CoRR abs/1807.10174 (2018) - [i53]Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang, Ming-Hsuan Yang:
Gated Fusion Network for Joint Image Deblurring and Super-Resolution. CoRR abs/1807.10806 (2018) - [i52]Wei-Sheng Lai, Jia-Bin Huang, Oliver Wang, Eli Shechtman, Ersin Yumer, Ming-Hsuan Yang:
Learning Blind Video Temporal Consistency. CoRR abs/1808.00449 (2018) - [i51]Jinshan Pan, Yang Liu, Jiangxin Dong, Jiawei Zhang, Jimmy S. J. Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang:
Physics-Based Generative Adversarial Models for Image Restoration and Beyond. CoRR abs/1808.00605 (2018) - [i50]Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Kumar Singh, Ming-Hsuan Yang:
Diverse Image-to-Image Translation via Disentangled Representations. CoRR abs/1808.00948 (2018) - [i49]Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang:
Learning Linear Transformations for Fast Arbitrary Style Transfer. CoRR abs/1808.04537 (2018) - [i48]Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang:
Deep Attentive Tracking via Reciprocative Learning. CoRR abs/1810.03851 (2018) - [i47]Wenbo Bao, Wei-Sheng Lai, Xiaoyun Zhang, Zhiyong Gao, Ming-Hsuan Yang:
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement. CoRR abs/1810.08768 (2018) - [i46]Zhile Ren, Orazio Gallo, Deqing Sun, Ming-Hsuan Yang, Erik B. Sudderth, Jan Kautz:
A Fusion Approach for Multi-Frame Optical Flow Estimation. CoRR abs/1810.10066 (2018) - [i45]Yibing Song, Jiawei Zhang, Lijun Gong, Shengfeng He, Linchao Bao, Jinshan Pan, Qingxiong Yang, Ming-Hsuan Yang:
Joint Face Hallucination and Deblurring via Structure Generation and Detail Enhancement. CoRR abs/1811.09019 (2018) - [i44]Donghoon Lee, Sifei Liu, Jinwei Gu, Ming-Yu Liu, Ming-Hsuan Yang, Jan Kautz:
Context-Aware Synthesis and Placement of Object Instances. CoRR abs/1812.02350 (2018) - [i43]Nian Liu, Junwei Han, Ming-Hsuan Yang:
PiCANet: Pixel-wise Contextual Attention Learning for Accurate Saliency Detection. CoRR abs/1812.06314 (2018) - 2017
- [j66]Mohamed A. Naiel, M. Omair Ahmad, M. N. S. Swamy, Jongwoo Lim, Ming-Hsuan Yang:
Online multi-object tracking via robust collaborative model and sample selection. Comput. Vis. Image Underst. 154: 94-107 (2017) - [j65]Chao Ma, Chih-Yuan Yang, Xiaokang Yang, Ming-Hsuan Yang:
Learning a no-reference quality metric for single-image super-resolution. Comput. Vis. Image Underst. 158: 1-16 (2017) - [j64]Yibing Song, Linchao Bao, Shengfeng He, Qingxiong Yang, Ming-Hsuan Yang:
Stylizing face images via multiple exemplars. Comput. Vis. Image Underst. 162: 135-145 (2017) - [j63]Qun Shi, Norimichi Ukita, Ming-Hsuan Yang:
Natural Facial and Head Behavior Recognition using Dictionary of Motion Primitives. IEICE Trans. Inf. Syst. 100-D(12): 2993-3000 (2017) - [j62]Shuang Wu, Hua Yang, Shibao Zheng, Hang Su, Yawen Fan, Ming-Hsuan Yang:
Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories. Int. J. Comput. Vis. 123(3): 499-519 (2017) - [j61]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 342-355 (2017) - [j60]Jimei Yang, Ming-Hsuan Yang:
Top-Down Visual Saliency via Joint CRF and Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 576-588 (2017) - [j59]Wei Lian, Lei Zhang, Ming-Hsuan Yang:
An Efficient Globally Optimal Algorithm for Asymmetric Point Matching. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1281-1293 (2017) - [j58]Lihe Zhang, Chuan Yang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang:
Ranking Saliency. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1892-1904 (2017) - [j57]Bo Peng, Lei Zhang, Xuanqin Mou, Ming-Hsuan Yang:
Evaluation of Segmentation Quality via Adaptive Composition of Reference Segmentations. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 1929-1941 (2017) - [j56]Shengfeng He, Rynson W. H. Lau, Qingxiong Yang, Jiang Wang, Ming-Hsuan Yang:
Robust Object Tracking via Locality Sensitive Histograms. IEEE Trans. Circuits Syst. Video Technol. 27(5): 1006-1017 (2017) - [j55]Huchuan Lu, Xiaoning Zhang, Jinqing Qi, Na Tong, Xiang Ruan, Ming-Hsuan Yang:
Co-Bootstrapping Saliency. IEEE Trans. Image Process. 26(1): 414-425 (2017) - [j54]Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang:
Dual Deep Network for Visual Tracking. IEEE Trans. Image Process. 26(4): 2005-2015 (2017) - [j53]Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Geng, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang:
Data-Dependent Label Distribution Learning for Age Estimation. IEEE Trans. Image Process. 26(8): 3846-3858 (2017) - [j52]Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-Song Chen, Ming-Hsuan Yang, Yi-Ping Hung:
Vision-Based Positioning for Internet-of-Vehicles. IEEE Trans. Intell. Transp. Syst. 18(2): 364-376 (2017) - [c171]Sifei Liu, Jianping Shi, Liang Ji, Ming-Hsuan Yang:
Face Parsing via Recurrent Propagation. BMVC 2017 - [c170]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Diversified Texture Synthesis with Feed-Forward Networks. CVPR 2017: 266-274 - [c169]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c168]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CVPR 2017: 2799-2807 - [c167]Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Multi-task Correlation Particle Filter for Robust Object Tracking. CVPR 2017: 4819-4827 - [c166]Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution. CVPR 2017: 5835-5843 - [c165]Yijun Li, Sifei Liu, Jimei Yang, Ming-Hsuan Yang:
Generative Face Completion. CVPR 2017: 5892-5900 - [c164]Jiawei Zhang, Jin-shan Pan, Wei-Sheng Lai, Rynson W. H. Lau, Ming-Hsuan Yang:
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution. CVPR 2017: 6969-6977 - [c163]Xiangyu Xu, Deqing Sun, Jinshan Pan, Yujin Zhang, Hanspeter Pfister, Ming-Hsuan Yang:
Learning to Super-Resolve Blurry Face and Text Images. ICCV 2017: 251-260 - [c162]Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Unsupervised Representation Learning by Sorting Sequences. ICCV 2017: 667-676 - [c161]Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang:
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow. ICCV 2017: 686-695 - [c160]Jinshan Pan, Jiangxin Dong, Yu-Wing Tai, Zhixun Su, Ming-Hsuan Yang:
Learning Discriminative Data Fitting Functions for Blind Image Deblurring. ICCV 2017: 1077-1085 - [c159]Wenqi Ren, Jinshan Pan, Xiaochun Cao, Ming-Hsuan Yang:
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-linear Kernel. ICCV 2017: 1086-1094 - [c158]Jiangxin Dong, Jinshan Pan, Zhixun Su, Ming-Hsuan Yang:
Blind Image Deblurring with Outlier Handling. ICCV 2017: 2497-2505 - [c157]Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang:
CREST: Convolutional Residual Learning for Visual Tracking. ICCV 2017: 2574-2583 - [c156]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe L. Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. ICCV 2017: 2650-2658 - [c155]Jingyu Liu, Liang Wang, Ming-Hsuan Yang:
Referring Expression Generation and Comprehension via Attributes. ICCV 2017: 4866-4874 - [c154]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. ICCV 2017: 5917-5925 - [c153]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomas Vojir, Gustav Häger, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Andrej Muhic, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Antoine Manzanera, Antoine Tran, A. Aydin Alatan, Bogdan Mocanu, Boyu Chen, Chang Huang, Changsheng Xu, Chong Sun, Dalong Du, David Zhang, Dawei Du, Deepak Mishra, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Francesco Battistone, Gorthi R. K. Sai Subrahmanyam, Goutam Bhat, Guan Huang, Guilherme Sousa Bastos, Guna Seetharaman, Hongliang Zhang, Houqiang Li, Huchuan Lu, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jana Noskova, Jianke Zhu, Jin Gao, Jingyu Liu, Ji-Wan Kim, João F. Henriques, José M. Martínez, Junfei Zhuang, Junliang Xing, Junyu Gao, Kai Chen, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Kris M. Kitani, Lei Zhang, Lijun Wang, Lingxiao Yang, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Ming-Hsuan Yang, Nianhao Xie, Ning Wang, Ondrej Miksik, Payman Moallem, Pallavi M. Venugopal, Pedro Senna, Philip H. S. Torr, Qiang Wang, Qifeng Yu, Qingming Huang, Rafael Martin Nieto, Richard Bowden, Risheng Liu, Ruxandra Tapu, Simon Hadfield, Siwei Lyu, Stuart Golodetz, Sunglok Choi, Tianzhu Zhang, Titus B. Zaharia, Vincenzo Santopietro, Wei Zou, Weiming Hu, Wenbing Tao, Wenbo Li, Wengang Zhou, Xianguo Yu, Xiao Bian, Yang Li, Yifan Xing, Yingruo Fan, Zheng Zhu, Zhipeng Zhang, Zhiqun He:
The Visual Object Tracking VOT2017 Challenge Results. ICCV Workshops 2017: 1949-1972 - [c152]Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang:
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. ICCV Workshops 2017: 2001-2009 - [c151]Lu Wang, Lisheng Xu, Min Young Kim, Luca Rigazico, Ming-Hsuan Yang:
Online multiple object tracking via flow and convolutional features. ICIP 2017: 3630-3634 - [c150]Po-Chen Wu, Yueh-Ying Lee, Hung-Yu Tseng, Hsuan-I Ho, Ming-Hsuan Yang, Shao-Yi Chien:
A Benchmark Dataset for 6DoF Object Pose Tracking. ISMAR Adjunct 2017: 186-191 - [c149]Han-Kai Hsu, Yi-Hsuan Tsai, Xue Mei, Kuan-Hui Lee, Naoki Nagasaka, Danil V. Prokhorov, Ming-Hsuan Yang:
Learning to tell brake and turn signals in videos using CNN-LSTM structure. ITSC 2017: 1-6 - [c148]Wei-Sheng Lai, Jia-Bin Huang, Ming-Hsuan Yang:
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks. NIPS 2017: 354-364 - [c147]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Universal Style Transfer via Feature Transforms. NIPS 2017: 386-396 - [c146]Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, Jan Kautz:
Learning Affinity via Spatial Propagation Networks. NIPS 2017: 1520-1530 - [c145]Po-Chen Wu, Robert Wang, Kenrick Kin, Christopher D. Twigg, Shangchen Han, Ming-Hsuan Yang, Shao-Yi Chien:
DodecaPen: Accurate 6DoF Tracking of a Passive Stylus. UIST 2017: 365-374 - [i42]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Deep Image Harmonization. CoRR abs/1703.00069 (2017) - [i41]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Diversified Texture Synthesis with Feed-forward Networks. CoRR abs/1703.01664 (2017) - [i40]Donghoon Lee, Sangdoo Yun, Sungjoon Choi, Hwiyeon Yoo, Ming-Hsuan Yang, Songhwai Oh:
Unsupervised Holistic Image Generation from Key Local Patches. CoRR abs/1703.10730 (2017) - [i39]Wei-Sheng Lai, Yujia Huang, Neel Joshi, Chris Buehler, Ming-Hsuan Yang, Sing Bing Kang:
Semantic-driven Generation of Hyperlapse from 360° Video. CoRR abs/1703.10798 (2017) - [i38]Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution. CoRR abs/1704.03915 (2017) - [i37]Yijun Li, Sifei Liu, Jimei Yang, Ming-Hsuan Yang:
Generative Face Completion. CoRR abs/1704.05838 (2017) - [i36]Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang:
Universal Style Transfer via Feature Transforms. CoRR abs/1705.08086 (2017) - [i35]Dong Li, Hsin-Ying Lee, Jia-Bin Huang, Shengjin Wang, Ming-Hsuan Yang:
Learning Structured Semantic Embeddings for Visual Recognition. CoRR abs/1706.01237 (2017) - [i34]Chong Sun, Huchuan Lu, Ming-Hsuan Yang:
Learning Spatial-Aware Regressions for Visual Tracking. CoRR abs/1706.07457 (2017) - [i33]Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Adaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking. CoRR abs/1707.02309 (2017) - [i32]Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Robust Visual Tracking via Hierarchical Convolutional Features. CoRR abs/1707.03816 (2017) - [i31]Yibing Song, Chao Ma, Lijun Gong, Jiawei Zhang, Rynson W. H. Lau, Ming-Hsuan Yang:
CREST: Convolutional Residual Learning for Visual Tracking. CoRR abs/1708.00225 (2017) - [i30]Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Unsupervised Representation Learning by Sorting Sequences. CoRR abs/1708.01246 (2017) - [i29]Sifei Liu, Jianping Shi, Ji Liang, Ming-Hsuan Yang:
Face Parsing via Recurrent Propagation. CoRR abs/1708.01936 (2017) - [i28]Kihyuk Sohn, Sifei Liu, Guangyu Zhong, Xiang Yu, Ming-Hsuan Yang, Manmohan Chandraker:
Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos. CoRR abs/1708.02191 (2017) - [i27]Wenqi Ren, Jin-shan Pan, Xiaochun Cao, Ming-Hsuan Yang:
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel. CoRR abs/1708.03423 (2017) - [i26]Yibing Song, Linchao Bao, Shengfeng He, Qingxiong Yang, Ming-Hsuan Yang:
Stylizing Face Images via Multiple Exemplars. CoRR abs/1708.08288 (2017) - [i25]Jingchun Cheng, Sifei Liu, Yi-Hsuan Tsai, Wei-Chih Hung, Shalini De Mello, Jinwei Gu, Jan Kautz, Shengjin Wang, Ming-Hsuan Yang:
Learning to Segment Instances in Videos with Spatial Propagation Network. CoRR abs/1709.04609 (2017) - [i24]Jingchun Cheng, Yi-Hsuan Tsai, Shengjin Wang, Ming-Hsuan Yang:
SegFlow: Joint Learning for Video Object Segmentation and Optical Flow. CoRR abs/1709.06750 (2017) - [i23]Sifei Liu, Shalini De Mello, Jinwei Gu, Guangyu Zhong, Ming-Hsuan Yang, Jan Kautz:
Learning Affinity via Spatial Propagation Networks. CoRR abs/1710.01020 (2017) - [i22]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Learning Dynamic Patch-based Graph Representation. CoRR abs/1710.01444 (2017) - [i21]Wei-Sheng Lai, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Fast and Accurate Image Super-Resolution with Deep Laplacian Pyramid Networks. CoRR abs/1710.01992 (2017) - [i20]Feng Li, Yingjie Yao, Peihua Li, David Zhang, Wangmeng Zuo, Ming-Hsuan Yang:
Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation. CoRR abs/1710.02039 (2017) - [i19]Shun Zhang, Jia-Bin Huang, Jongwoo Lim, Yihong Gong, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang:
Tracking Persons-of-Interest via Unsupervised Representation Adaptation. CoRR abs/1710.02139 (2017) - [i18]Yijun Li, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Joint Image Filtering with Deep Convolutional Networks. CoRR abs/1710.04200 (2017) - [i17]Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang:
Progressive Representation Adaptation for Weakly Supervised Object Localization. CoRR abs/1710.04647 (2017) - [i16]Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang:
Scene Parsing with Global Context Embedding. CoRR abs/1710.06507 (2017) - [i15]Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik G. Learned-Miller, Jan Kautz:
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation. CoRR abs/1712.00080 (2017) - [i14]Yi-Hsuan Tsai, Ming-Yu Liu, Deqing Sun, Ming-Hsuan Yang, Jan Kautz:
Learning Binary Residual Representations for Domain-specific Video Streaming. CoRR abs/1712.05087 (2017) - 2016
- [j51]Xue Mei, Tianzhu Zhang, Huchuan Lu, Ming-Hsuan Yang, Kyoung Mu Lee, Horst Bischof:
Special Issue on Visual Tracking. Comput. Vis. Image Underst. 153: 1-2 (2016) - [j50]Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, Ming-Hsuan Yang:
Sketch retrieval via local dense stroke features. Image Vis. Comput. 46: 64-73 (2016) - [j49]Annan Li, Min Lin, Yi Wu, Ming-Hsuan Yang, Shuicheng Yan:
NUS-PRO: A New Visual Tracking Challenge. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 335-349 (2016) - [j48]Ju Hong Yoon, Ming-Hsuan Yang, Kuk-Jin Yoon:
Interacting Multiview Tracker. IEEE Trans. Pattern Anal. Mach. Intell. 38(5): 903-917 (2016) - [j47]Longyin Wen, Zhen Lei, Siwei Lyu, Stan Z. Li, Ming-Hsuan Yang:
Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 1983-1996 (2016) - [j46]Shengfeng He, Qingxiong Yang, Rynson W. H. Lau, Ming-Hsuan Yang:
Fast Weighted Histograms for Bilateral Filtering and Nearest Neighbor Searching. IEEE Trans. Circuits Syst. Video Technol. 26(5): 891-902 (2016) - [j45]Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Robust Visual Tracking via Least Soft-Threshold Squares. IEEE Trans. Circuits Syst. Video Technol. 26(9): 1709-1721 (2016) - [j44]Huchuan Lu, Xiaohui Li, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang:
Dense and Sparse Reconstruction Error Based Saliency Descriptor. IEEE Trans. Image Process. 25(4): 1592-1603 (2016) - [j43]Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang:
Robust Visual Tracking via Convolutional Networks Without Training. IEEE Trans. Image Process. 25(4): 1779-1792 (2016) - [j42]Wenqi Ren, Xiaochun Cao, Jin-shan Pan, Xiaojie Guo, Wangmeng Zuo, Ming-Hsuan Yang:
Image Deblurring via Enhanced Low-Rank Prior. IEEE Trans. Image Process. 25(7): 3426-3437 (2016) - [j41]Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, Jingdong Wang:
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection. IEEE Trans. Image Process. 25(8): 3919-3930 (2016) - [j40]Xu Jia, Huchuan Lu, Ming-Hsuan Yang:
Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models. IEEE Trans. Image Process. 25(10): 4555-4564 (2016) - [j39]Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao, Ming-Hsuan Yang, Fatih Porikli:
Visual Tracking Under Motion Blur. IEEE Trans. Image Process. 25(12): 5867-5876 (2016) - [j38]Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Ming-Hsuan Yang:
Sky is not the limit: semantic-aware sky replacement. ACM Trans. Graph. 35(4): 149:1-149:11 (2016) - [c144]Guangyu Zhong, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Weakly-Supervised Video Scene Co-parsing. ACCV (1) 2016: 20-36 - [c143]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Debluring Low-Resolution Images. ACCV Workshops (1) 2016: 111-127 - [c142]Jimei Yang, Brian L. Price, Scott Cohen, Honglak Lee, Ming-Hsuan Yang:
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network. CVPR 2016: 193-202 - [c141]Jin-shan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee, Ming-Hsuan Yang:
Soft-Segmentation Guided Object Motion Deblurring. CVPR 2016: 459-468 - [c140]Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, Kuk-Jin Yoon:
Online Multi-object Tracking via Structural Constraint Event Aggregation. CVPR 2016: 1392-1400 - [c139]Jin-shan Pan, Deqing Sun, Hanspeter Pfister, Ming-Hsuan Yang:
Blind Image Deblurring Using Dark Channel Prior. CVPR 2016: 1628-1636 - [c138]Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja, Ming-Hsuan Yang:
A Comparative Study for Single Image Blind Deblurring. CVPR 2016: 1701-1709 - [c137]Zhe Hu, Lu Yuan, Stephen Lin, Ming-Hsuan Yang:
Image Deblurring Using Smartphone Inertial Sensors. CVPR 2016: 1855-1864 - [c136]Jin-shan Pan, Zhouchen Lin, Zhixun Su, Ming-Hsuan Yang:
Robust Kernel Estimation with Outliers Handling for Image Deblurring. CVPR 2016: 2800-2808 - [c135]Dong Li, Jia-Bin Huang, Yali Li, Shengjin Wang, Ming-Hsuan Yang:
Weakly Supervised Object Localization with Progressive Domain Adaptation. CVPR 2016: 3512-3520 - [c134]Yi-Hsuan Tsai, Ming-Hsuan Yang, Michael J. Black:
Video Segmentation via Object Flow. CVPR 2016: 3899-3908 - [c133]Jifeng Ning, Jimei Yang, Shaojie Jiang, Lei Zhang, Ming-Hsuan Yang:
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map. CVPR 2016: 4266-4274 - [c132]Yuankai Qi, Shengping Zhang, Lei Qin, Hongxun Yao, Qingming Huang, Jongwoo Lim, Ming-Hsuan Yang:
Hedged Deep Tracking. CVPR 2016: 4303-4311 - [c131]Yijun Li, Jia-Bin Huang, Narendra Ahuja, Ming-Hsuan Yang:
Deep Joint Image Filtering. ECCV (4) 2016: 154-169 - [c130]Wenqi Ren, Si Liu, Hua Zhang, Jin-shan Pan, Xiaochun Cao, Ming-Hsuan Yang:
Single Image Dehazing via Multi-scale Convolutional Neural Networks. ECCV (2) 2016: 154-169 - [c129]Donghoon Lee, Geonho Cha, Ming-Hsuan Yang, Songhwai Oh:
Individualness and Determinantal Point Processes for Pedestrian Detection. ECCV (6) 2016: 330-346 - [c128]Shun Zhang, Yihong Gong, Jia-Bin Huang, Jongwoo Lim, Jinjun Wang, Narendra Ahuja, Ming-Hsuan Yang:
Tracking Persons-of-Interest via Adaptive Discriminative Features. ECCV (5) 2016: 415-433 - [c127]Sifei Liu, Jin-shan Pan, Ming-Hsuan Yang:
Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network. ECCV (4) 2016: 560-576 - [c126]Dong Li, Wei-Chih Hung, Jia-Bin Huang, Shengjin Wang, Narendra Ahuja, Ming-Hsuan Yang:
Unsupervised Visual Representation Learning by Graph-Based Consistent Constraints. ECCV (4) 2016: 678-694 - [c125]Yi-Hsuan Tsai, Guangyu Zhong, Ming-Hsuan Yang:
Semantic Co-segmentation in Videos. ECCV (4) 2016: 760-775 - [c124]Lu Wang, Lisheng Xu, Ming-Hsuan Yang:
Pedestrian detection in crowded scenes via scale and occlusion analysis. ICIP 2016: 1210-1214 - [c123]Guangyu Zhong, Yi-Hsuan Tsai, Yi-Ting Chen, Xue Mei, Danil V. Prokhorov, Michael James, Ming-Hsuan Yang:
Learning to tell brake lights with convolutional features. ITSC 2016: 1558-1563 - [c122]Hung-Yu Tseng, Po-Chen Wu, Ming-Hsuan Yang, Shao-Yi Chien:
Direct 3D pose estimation of a planar target. WACV 2016: 1-9 - [i13]Jimei Yang, Scott E. Reed, Ming-Hsuan Yang, Honglak Lee:
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis. CoRR abs/1601.00706 (2016) - [i12]Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, Ming-Hsuan Yang:
Learning Support Correlation Filters for Visual Tracking. CoRR abs/1601.06032 (2016) - [i11]Jimei Yang, Brian L. Price, Scott Cohen, Honglak Lee, Ming-Hsuan Yang:
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network. CoRR abs/1603.04530 (2016) - [i10]Xing Wei, Qingxiong Yang, Yihong Gong, Ming-Hsuan Yang, Narendra Ahuja:
Superpixel Hierarchy. CoRR abs/1605.06325 (2016) - [i9]Kaihua Zhang, Qingshan Liu, Ming-Hsuan Yang:
Visual Tracking via Boolean Map Representations. CoRR abs/1610.09652 (2016) - [i8]Jiawei Zhang, Jin-shan Pan, Wei-Sheng Lai, Rynson W. H. Lau, Ming-Hsuan Yang:
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution. CoRR abs/1611.06495 (2016) - [i7]Chao Ma, Chih-Yuan Yang, Xiaokang Yang, Ming-Hsuan Yang:
Learning a No-Reference Quality Metric for Single-Image Super-Resolution. CoRR abs/1612.05890 (2016) - [i6]Zhizhen Chi, Hongyang Li, Huchuan Lu, Ming-Hsuan Yang:
Dual Deep Network for Visual Tracking. CoRR abs/1612.06053 (2016) - 2015
- [j37]Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang, Bernard Ghanem:
Robust Visual Tracking Via Consistent Low-Rank Sparse Learning. Int. J. Comput. Vis. 111(2): 171-190 (2015) - [j36]Zhe Hu, Ming-Hsuan Yang:
Learning Good Regions to Deblur Images. Int. J. Comput. Vis. 115(3): 345-362 (2015) - [j35]Yi Wu, Jongwoo Lim, Ming-Hsuan Yang:
Object Tracking Benchmark. IEEE Trans. Pattern Anal. Mach. Intell. 37(9): 1834-1848 (2015) - [j34]Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Kernel collaborative face recognition. Pattern Recognit. 48(10): 3025-3037 (2015) - [j33]Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang:
Object Tracking With Joint Optimization of Representation and Classification. IEEE Trans. Circuits Syst. Video Technol. 25(4): 638-650 (2015) - [j32]Chih-Tsung Shen, Hung-Hsun Liu, Ming-Hsuan Yang, Yi-Ping Hung, Soo-Chang Pei:
Viewing-Distance Aware Super-Resolution for High-Definition Display. IEEE Trans. Image Process. 24(1): 403-418 (2015) - [j31]Dong Wang, Huchuan Lu, Ziyang Xiao, Ming-Hsuan Yang:
Inverse Sparse Tracker With a Locally Weighted Distance Metric. IEEE Trans. Image Process. 24(9): 2646-2657 (2015) - [j30]Guofeng Wang, Xueying Qin, Fan Zhong, Yue Liu, Hongbo Li, Qunsheng Peng, Ming-Hsuan Yang:
Visual Tracking via Sparse and Local Linear Coding. IEEE Trans. Image Process. 24(11): 3796-3809 (2015) - [j29]Xingping Dong, Jianbing Shen, Ling Shao, Ming-Hsuan Yang:
Interactive Cosegmentation Using Global and Local Energy Optimization. IEEE Trans. Image Process. 24(11): 3966-3977 (2015) - [j28]Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang:
Boosted Multifeature Learning for Cross-Domain Transfer. ACM Trans. Multim. Comput. Commun. Appl. 11(3): 35:1-35:18 (2015) - [c121]Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang:
Structural Sparse Tracking. CVPR 2015: 150-158 - [c120]Yi-Hsuan Tsai, Onur C. Hamsici, Ming-Hsuan Yang:
Adaptive region pooling for object detection. CVPR 2015: 731-739 - [c119]Jimei Yang, Brian L. Price, Scott Cohen, Zhe Lin, Ming-Hsuan Yang:
PatchCut: Data-driven object segmentation via local shape transfer. CVPR 2015: 1770-1778 - [c118]Na Tong, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang:
Salient object detection via bootstrap learning. CVPR 2015: 1884-1892 - [c117]Longyin Wen, Dawei Du, Zhen Lei, Stan Z. Li, Ming-Hsuan Yang:
JOTS: Joint Online Tracking and Segmentation. CVPR 2015: 2226-2234 - [c116]Lijun Wang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang:
Deep networks for saliency detection via local estimation and global search. CVPR 2015: 3183-3192 - [c115]Sifei Liu, Jimei Yang, Chang Huang, Ming-Hsuan Yang:
Multi-objective convolutional learning for face labeling. CVPR 2015: 3451-3459 - [c114]Yi-Ting Chen, Xiaokai Liu, Ming-Hsuan Yang:
Multi-instance object segmentation with occlusion handling. CVPR 2015: 3470-3478 - [c113]Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang:
Long-term correlation tracking. CVPR 2015: 5388-5396 - [c112]Rachit Dubey, Joshua C. Peterson, Aditya Khosla, Ming-Hsuan Yang, Bernard Ghanem:
What Makes an Object Memorable? ICCV 2015: 1089-1097 - [c111]Donghoon Lee, Ming-Hsuan Yang, Songhwai Oh:
Fast and Accurate Head Pose Estimation via Random Projection Forests. ICCV 2015: 1958-1966 - [c110]Chao Ma, Jia-Bin Huang, Xiaokang Yang, Ming-Hsuan Yang:
Hierarchical Convolutional Features for Visual Tracking. ICCV 2015: 3074-3082 - [c109]Chao Ma, Xiaokang Yang, Chongyang Zhang, Ming-Hsuan Yang:
Learning a temporally invariant representation for visual tracking. ICIP 2015: 857-861 - [c108]Simon Safar, Ming-Hsuan Yang:
Learning shape priors for object segmentation via neural networks. ICIP 2015: 1835-1839 - [c107]Jimei Yang, Scott E. Reed, Ming-Hsuan Yang, Honglak Lee:
Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis. NIPS 2015: 1099-1107 - [c106]Ju Hong Yoon, Ming-Hsuan Yang, Jongwoo Lim, Kuk-Jin Yoon:
Bayesian Multi-object Tracking Using Motion Context from Multiple Objects. WACV 2015: 33-40 - [c105]Xiaokai Liu, Hongyu Wang, Yi Wu, Jimei Yang, Ming-Hsuan Yang:
An Ensemble Color Model for Human Re-identification. WACV 2015: 868-875 - [c104]Yi-Ting Chen, Jimei Yang, Ming-Hsuan Yang:
Extracting Image Regions by Structured Edge Prediction. WACV 2015: 1060-1067 - [e5]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part I. Lecture Notes in Computer Science 9003, Springer 2015, ISBN 978-3-319-16864-7 [contents] - [e4]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part II. Lecture Notes in Computer Science 9004, Springer 2015, ISBN 978-3-319-16807-4 [contents] - [e3]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III. Lecture Notes in Computer Science 9005, Springer 2015, ISBN 978-3-319-16810-4 [contents] - [e2]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 9006, Springer 2015, ISBN 978-3-319-16816-6 [contents] - [e1]Daniel Cremers, Ian D. Reid, Hideo Saito, Ming-Hsuan Yang:
Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V. Lecture Notes in Computer Science 9007, Springer 2015, ISBN 978-3-319-16813-5 [contents] - [r3]Ming-Hsuan Yang:
Face Detection. Encyclopedia of Biometrics 2015: 447-452 - [i5]Kaihua Zhang, Qingshan Liu, Yi Wu, Ming-Hsuan Yang:
Robust Tracking via Convolutional Networks without Learning. CoRR abs/1501.04505 (2015) - [i4]Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Ming-Hsuan Yang, Chu-Song Chen, Yi-Ping Hung:
To Know Where We Are: Vision-Based Positioning in Outdoor Environments. CoRR abs/1506.05870 (2015) - [i3]Xi Li, Liming Zhao, Lina Wei, Ming-Hsuan Yang, Fei Wu, Yueting Zhuang, Haibin Ling, Jingdong Wang:
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection. CoRR abs/1510.05484 (2015) - [i2]Longyin Wen, Dawei Du, Zhaowei Cai, Zhen Lei, Ming-Ching Chang, Honggang Qi, Jongwoo Lim, Ming-Hsuan Yang, Siwei Lyu:
DETRAC: A New Benchmark and Protocol for Multi-Object Tracking. CoRR abs/1511.04136 (2015) - 2014
- [j27]Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang:
Fast Compressive Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2002-2015 (2014) - [j26]Fan Yang, Huchuan Lu, Ming-Hsuan Yang:
Robust Visual Tracking via Multiple Kernel Boosting With Affinity Constraints. IEEE Trans. Circuits Syst. Video Technol. 24(2): 242-254 (2014) - [j25]Fan Yang, Huchuan Lu, Ming-Hsuan Yang:
Robust Superpixel Tracking. IEEE Trans. Image Process. 23(4): 1639-1651 (2014) - [j24]Wei Zhong, Huchuan Lu, Ming-Hsuan Yang:
Robust Object Tracking via Sparse Collaborative Appearance Model. IEEE Trans. Image Process. 23(5): 2356-2368 (2014) - [c103]Jin-shan Pan, Jongwoo Lim, Zhixun Su, Ming-Hsuan Yang:
L0-Regularized Object Representation for Visual Tracking. BMVC 2014 - [c102]Jimei Yang, Simon Safar, Ming-Hsuan Yang:
Max-Margin Boltzmann Machines for Object Segmentation. CVPR 2014: 320-327 - [c101]Zhe Hu, Li Xu, Ming-Hsuan Yang:
Joint Depth Estimation and Camera Shake Removal from Single Blurry Image. CVPR 2014: 2893-2900 - [c100]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Deblurring Text Images via L0-Regularized Intensity and Gradient Prior. CVPR 2014: 2901-2908 - [c99]Jimei Yang, Brian L. Price, Scott Cohen, Ming-Hsuan Yang:
Context Driven Scene Parsing with Attention to Rare Classes. CVPR 2014: 3294-3301 - [c98]Zhe Hu, Sunghyun Cho, Jue Wang, Ming-Hsuan Yang:
Deblurring Low-Light Images with Light Streaks. CVPR 2014: 3382-3389 - [c97]Jin-shan Pan, Zhe Hu, Zhixun Su, Ming-Hsuan Yang:
Deblurring Face Images with Exemplars. ECCV (7) 2014: 47-62 - [c96]Kaihua Zhang, Lei Zhang, Qingshan Liu, David Zhang, Ming-Hsuan Yang:
Fast Visual Tracking via Dense Spatio-temporal Context Learning. ECCV (5) 2014: 127-141 - [c95]Chih-Yuan Yang, Chao Ma, Ming-Hsuan Yang:
Single-Image Super-Resolution: A Benchmark. ECCV (4) 2014: 372-386 - [c94]Mingliang Chen, Qingxiong Yang, Qing Li, Gang Wang, Ming-Hsuan Yang:
Spatiotemporal Background Subtraction Using Minimum Spanning Tree and Optical Flow. ECCV (7) 2014: 521-534 - [c93]Yibing Song, Linchao Bao, Qingxiong Yang, Ming-Hsuan Yang:
Real-Time Exemplar-Based Face Sketch Synthesis. ECCV (6) 2014: 800-813 - [c92]Mohamed A. Naiel, M. Omair Ahmad, M. N. S. Swamy, Yi Wu, Ming-Hsuan Yang:
Online multi-person tracking via robust collaborative model. ICIP 2014: 431-435 - [c91]Yi-Hsuan Tsai, Ming-Hsuan Yang:
Locality preserving hashing. ICIP 2014: 2988-2992 - [c90]Sifei Liu, Ming-Hsuan Yang:
Compressed face hallucination. ICIP 2014: 4032-4036 - [c89]Kuan-Wen Chen, Shen-Chi Chen, Kevin Lin, Ming-Hsuan Yang, Chu-Song Chen, Yi-Ping Hung:
Object Detection for Neighbor Map Construction in an IoV System. iThings/GreenCom/CPSCom 2014: 300-303 - [c88]Kuan-Wen Chen, Hsin-Mu Tsai, Chih-Hung Hsieh, Shou-De Lin, Chieh-Chih Wang, Shao-Wen Yang, Shao-Yi Chien, Chia-Han Lee, Yu-Chi Su, Chun-Ting Chou, Yuh-Jye Lee, Hsing-Kuo Pao, Ruey-Shan Guo, Chung-Jen Chen, Ming-Hsuan Yang, Bing-Yu Chen, Yi-Ping Hung:
Connected vehicle safety science, system, and framework. WF-IoT 2014: 235-240 - 2013
- [j23]Fan Yang, Huchuan Lu, Ming-Hsuan Yang:
Learning structured visual dictionary for object tracking. Image Vis. Comput. 31(12): 992-999 (2013) - [j22]Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, Qinghua Hu:
Robust Object Tracking Via Active Feature Selection. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1957-1967 (2013) - [j21]Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Online Object Tracking With Sparse Prototypes. IEEE Trans. Image Process. 22(1): 314-325 (2013) - [j20]Yulin Xie, Huchuan Lu, Ming-Hsuan Yang:
Bayesian Saliency via Low and Mid Level Cues. IEEE Trans. Image Process. 22(5): 1689-1698 (2013) - [j19]Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang:
Real-Time Object Tracking Via Online Discriminative Feature Selection. IEEE Trans. Image Process. 22(12): 4664-4677 (2013) - [c87]Chao Ma, Xiaokang Yang, Chongyang Zhang, Xiang Ruan, Ming-Hsuan Yang:
Sketch Retrieval via Dense Stroke Features. BMVC 2013 - [c86]Yi-Hsuan Tsai, Jimei Yang, Ming-Hsuan Yang:
Decomposed Learning for Joint Segmentation and Categorization. BMVC 2013 - [c85]Chao Zhang, Xiong Li, Xiang Ruan, Yuming Zhao, Ming-Hsuan Yang:
Discriminative Generative Contour Detection. BMVC 2013 - [c84]Chih-Yuan Yang, Sifei Liu, Ming-Hsuan Yang:
Structured Face Hallucination. CVPR 2013: 1099-1106 - [c83]Dong Wang, Huchuan Lu, Ming-Hsuan Yang:
Least Soft-Threshold Squares Tracking. CVPR 2013: 2371-2378 - [c82]Yi Wu, Jongwoo Lim, Ming-Hsuan Yang:
Online Object Tracking: A Benchmark. CVPR 2013: 2411-2418 - [c81]Shengfeng He, Qingxiong Yang, Rynson W. H. Lau, Jiang Wang, Ming-Hsuan Yang:
Visual Tracking via Locality Sensitive Histograms. CVPR 2013: 2427-2434 - [c80]Chuan Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, Ming-Hsuan Yang:
Saliency Detection via Graph-Based Manifold Ranking. CVPR 2013: 3166-3173 - [c79]Chih-Yuan Yang, Ming-Hsuan Yang:
Fast Direct Super-Resolution by Simple Functions. ICCV 2013: 561-568 - [c78]Jimei Yang, Yi-Hsuan Tsai, Ming-Hsuan Yang:
Exemplar Cut. ICCV 2013: 857-864 - [c77]Bowen Jiang, Lihe Zhang, Huchuan Lu, Chuan Yang, Ming-Hsuan Yang:
Saliency Detection via Absorbing Markov Chain. ICCV 2013: 1665-1672 - [c76]Yi Wu, Yoshihisa Ijiri, Ming-Hsuan Yang:
Multiple Non-rigid Surface Detection and Registration. ICCV 2013: 1992-1999 - [c75]Xiangfei Kong, Kuan Li, Qingxiong Yang, Liu Wenyin, Ming-Hsuan Yang:
A New Image Quality Metric for Image Auto-denoising. ICCV 2013: 2888-2895 - [c74]Xiaohui Li, Huchuan Lu, Lihe Zhang, Xiang Ruan, Ming-Hsuan Yang:
Saliency Detection via Dense and Sparse Reconstruction. ICCV 2013: 2976-2983 - [i1]Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang, David Zhang:
Fast Tracking via Spatio-Temporal Context Learning. CoRR abs/1311.1939 (2013) - 2012
- [j18]Qing Wang, Feng Chen, Jimei Yang, Wenli Xu, Ming-Hsuan Yang:
Transferring Visual Prior for Online Object Tracking. IEEE Trans. Image Process. 21(7): 3296-3305 (2012) - [j17]Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang:
Object Tracking via Partial Least Squares Analysis. IEEE Trans. Image Process. 21(10): 4454-4465 (2012) - [j16]Zaihong Shuai, Sangseok Yoon, Songhwai Oh, Ming-Hsuan Yang:
Traffic modeling and prediction using sensor networks: Who will go where and when? ACM Trans. Sens. Networks 9(1): 6:1-6:28 (2012) - [c73]Zhe Hu, Ming-Hsuan Yang:
Fast Non-uniform Deblurring using Constrained Camera Pose Subspace. BMVC 2012: 1-11 - [c72]Xu Jia, Huchuan Lu, Ming-Hsuan Yang:
Visual tracking via adaptive structural local sparse appearance model. CVPR 2012: 1822-1829 - [c71]Wei Zhong, Huchuan Lu, Ming-Hsuan Yang:
Robust object tracking via sparsity-based collaborative model. CVPR 2012: 1838-1845 - [c70]Jimei Yang, Ming-Hsuan Yang:
Top-down visual saliency via joint CRF and dictionary learning. CVPR 2012: 2296-2303 - [c69]Zhe Hu, Ming-Hsuan Yang:
Good Regions to Deblur. ECCV (5) 2012: 59-72 - [c68]Kaihua Zhang, Lei Zhang, Ming-Hsuan Yang:
Real-Time Compressive Tracking. ECCV (3) 2012: 864-877 - [c67]Chao Zhang, Xiang Ruan, Yuming Zhao, Ming-Hsuan Yang:
Contour detection via random forest. ICPR 2012: 2772-2775 - [c66]Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang:
Online discriminative object tracking with local sparse representation. WACV 2012: 425-432 - 2011
- [j15]Jeffrey Ho, Ming-Hsuan Yang:
On affine registration of planar point sets using complex numbers. Comput. Vis. Image Underst. 115(1): 50-58 (2011) - [j14]S. M. Nejhum Shahed, Yu-Tseh Chi, Jeffrey Ho, Ming-Hsuan Yang:
Higher-Dimensional Affine Registration and Vision Applications. IEEE Trans. Pattern Anal. Mach. Intell. 33(7): 1324-1338 (2011) - [j13]Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie:
Robust Object Tracking with Online Multiple Instance Learning. IEEE Trans. Pattern Anal. Mach. Intell. 33(8): 1619-1632 (2011) - [j12]Gang Hua, Ming-Hsuan Yang, Erik G. Learned-Miller, Yi Ma, Matthew A. Turk, David J. Kriegman, Thomas S. Huang:
Introduction to the Special Section on Real-World Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(10): 1921-1924 (2011) - [j11]Ananth Ranganathan, Ming-Hsuan Yang, Jeffrey Ho:
Online Sparse Gaussian Process Regression and Its Applications. IEEE Trans. Image Process. 20(2): 391-404 (2011) - [c65]Jimei Yang, Ming-Hsuan Yang:
Learning Hierarchical Image Representation with Sparsity, Saliency and Locality. BMVC 2011: 1-11 - [c64]Qiuhong Zhou, Huchuan Lu, Ming-Hsuan Yang:
Online multiple support instance tracking. FG 2011: 545-552 - [c63]Shu Wang, Huchuan Lu, Fan Yang, Ming-Hsuan Yang:
Superpixel tracking. ICCV 2011: 1323-1330 - 2010
- [j10]S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang:
Online visual tracking with histograms and articulating blocks. Comput. Vis. Image Underst. 114(8): 901-914 (2010) - [j9]Rui Li, Tai-Peng Tian, Stan Sclaroff, Ming-Hsuan Yang:
3D Human Motion Tracking with a Coordinated Mixture of Factor Analyzers. Int. J. Comput. Vis. 87(1-2): 170-190 (2010) - [c62]Yu-Tseh Chi, Jeffrey Ho, Ming-Hsuan Yang:
A Direct Method for Estimating Planar Projective Transform. ACCV (2) 2010: 268-281 - [c61]Chih-Yuan Yang, Jia-Bin Huang, Ming-Hsuan Yang:
Exploiting Self-similarities for Single Frame Super-Resolution. ACCV (3) 2010: 497-510 - [c60]James E. Davis, Joan Arderiu, Hungyu Henry Lin, Zeb Nevins, Sebastian Schuon, Orazio Gallo, Ming-Hsuan Yang:
The HPU. CVPR Workshops 2010: 9-16 - [c59]Jia-Bin Huang, Ming-Hsuan Yang:
Fast sparse representation with prototypes. CVPR 2010: 3618-3625 - [c58]Zaihong Shuai, Songhwai Oh, Ming-Hsuan Yang:
Traffic modeling and prediction using camera sensor networks. ICDSC 2010: 49-56 - [c57]Zhe Hu, Jia-Bin Huang, Ming-Hsuan Yang:
Single image deblurring with adaptive dictionary learning. ICIP 2010: 1169-1172
2000 – 2009
- 2009
- [c56]Jia-Bin Huang, Ming-Hsuan Yang:
Estimating Human Pose from Occluded Images. ACCV (1) 2009: 48-60 - [c55]Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie:
Visual tracking with online Multiple Instance Learning. CVPR 2009: 983-990 - [c54]Jeffrey Ho, Adrian M. Peter, Anand Rangarajan, Ming-Hsuan Yang:
An algebraic approach to affine registration of point sets. ICCV 2009: 1335-1340 - [c53]Boris Babenko, Ming-Hsuan Yang, Serge J. Belongie:
A family of online boosting algorithms. ICCV Workshops 2009: 1346-1353 - [r2]Ming-Hsuan Yang:
Face Detection. Encyclopedia of Biometrics 2009: 303-308 - [r1]Ming-Hsuan Yang:
Object Recognition. Encyclopedia of Database Systems 2009: 1936-1939 - 2008
- [j8]David A. Ross, Jongwoo Lim, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Robust Visual Tracking. Int. J. Comput. Vis. 77(1-3): 125-141 (2008) - [c52]S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang:
Visual tracking with histograms and articulating blocks. CVPR 2008 - [c51]Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho, Ming-Hsuan Yang:
Higher Dimensional Affine Registration and Vision Applications. ECCV (4) 2008: 256-269 - [c50]Ananth Ranganathan, Ming-Hsuan Yang:
Online Sparse Matrix Gaussian Process Regression and Vision Applications. ECCV (1) 2008: 468-482 - 2007
- [c49]Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto:
Fast Human Pose Estimation using Appearance and Motion via Multi-Dimensional Boosting Regression. CVPR 2007 - [c48]Ping-Han Lee, Yun-Wen Wang, Jison Hsu, Ming-Hsuan Yang, Yi-Ping Hung:
Robust Facial Feature Extraction Using Embedded Hidden Markov Model for Face Recognition under Large Pose Variation. MVA 2007: 392-395 - [c47]Jeffrey Ho, Ming-Hsuan Yang, Anand Rangarajan, Baba C. Vemuri:
A New Affine Registration Algorithm for Matching 2D Point Sets. WACV 2007: 25 - 2006
- [c46]Che-Bin Liu, Ruei-Sung Lin, Narendra Ahuja, Ming-Hsuan Yang:
Dynamic Textures Synthesis as Nonlinear Manifold Learning and Traversing. BMVC 2006: 859-868 - [c45]Rui Li, Ming-Hsuan Yang, Stan Sclaroff, Tai-Peng Tian:
Monocular Tracking of 3D Human Motion with a Coordinated Mixture of Factor Analyzers. ECCV (2) 2006: 137-150 - [c44]Jeffrey Ho, Jongwoo Lim, Ming-Hsuan Yang, David J. Kriegman:
Integrating Surface Normal Vectors Using Fast Marching Method. ECCV (3) 2006: 239-250 - [c43]Ruei-Sung Lin, Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson:
Learning Nonlinear Manifolds from Time Series. ECCV (2) 2006: 245-256 - [c42]Che-Bin Liu, Ruei-Sung Lin, Ming-Hsuan Yang, Narendra Ahuja, Stephen E. Levinson:
Object Tracking Using Globally Coordinated Nonlinear Manifolds. ICPR (1) 2006: 844-847 - [c41]Alessandro Bissacco, Ming-Hsuan Yang, Stefano Soatto:
Detecting Humans via Their Pose. NIPS 2006: 169-176 - [c40]Ping-Han Lee, Yun-Wen Wang, Ming-Hsuan Yang, Jison Hsu, Yi-Ping Hung:
Distinctive Personal Traits for Face Recognition Under Occlusion. SMC 2006: 4202-4207 - 2005
- [j7]Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman:
Visual tracking and recognition using probabilistic appearance manifolds. Comput. Vis. Image Underst. 99(3): 303-331 (2005) - [c39]Gang Hua, Ming-Hsuan Yang, Ying Wu:
Learning to Estimate Human Pose with Data Driven Belief Propagation. CVPR (2) 2005: 747-754 - [c38]Jongwoo Lim, Ming-Hsuan Yang:
A Direct Method for Modeling Non-Rigid Motion with Thin Plate Spline. CVPR (1) 2005: 1196-1202 - [c37]Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman:
Passive Photometric Stereo from Motion. ICCV 2005: 1635-1642 - 2004
- [c36]Jeffrey Ho, Kuang-Chih Lee, Ming-Hsuan Yang, David J. Kriegman:
Visual Tracking Using Learned Linear Subspaces. CVPR (1) 2004: 782-789 - [c35]Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson:
Adaptive Discriminative Generative Model for Object Tracking. ECAI 2004: 505-509 - [c34]Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stefano Soatto:
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis. ECCV (1) 2004: 215-227 - [c33]Jongwoo Lim, Jeffrey Ho, Ming-Hsuan Yang, Kuang-Chih Lee, David J. Kriegman:
Image Clustering with Metric, Local Linear Structure, and Affine Symmetry. ECCV (1) 2004: 456-468 - [c32]David A. Ross, Jongwoo Lim, Ming-Hsuan Yang:
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update. ECCV (2) 2004: 470-482 - [c31]Ruei-Sung Lin, Ming-Hsuan Yang, Stephen E. Levinson:
Object Tracking Using Incremental Fisher Discriminant Analysis. ICPR (2) 2004: 757-760 - [c30]Jason Meltzer, Rakesh Gupta, Ming-Hsuan Yang, Stefano Soatto:
Simultaneous localization and mapping using multiple view feature descriptors. IROS 2004: 1550-1555 - [c29]Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hsuan Yang:
Incremental Learning for Visual Tracking. NIPS 2004: 793-800 - [c28]Ruei-Sung Lin, David A. Ross, Jongwoo Lim, Ming-Hsuan Yang:
Adaptive Discriminative Generative Model and Its Applications. NIPS 2004: 801-808 - 2003
- [j6]Aleix M. Martínez, Ming-Hsuan Yang, David J. Kriegman:
Special issue on face recognition. Comput. Vis. Image Underst. 91(1-2): 1-5 (2003) - [c27]Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Chih Lee, David J. Kriegman:
Clustering Appearances of Objects Under Varying Illumination Conditions. CVPR (1) 2003: 11-18 - [c26]Kuang-Chih Lee, Jeffrey Ho, Ming-Hsuan Yang, David J. Kriegman:
Video-Based Face Recognition Using Probabilistic Appearance Manifolds. CVPR (1) 2003: 313-320 - [c25]Ming-Hsuan Yang:
Discriminant Isometric Mapping for Face Recognition. ICVS 2003: 470-480 - 2002
- [j5]Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
Learning to Recognize Three-Dimensional Objects. Neural Comput. 14(5): 1071-1103 (2002) - [j4]Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja:
Detecting Faces in Images: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 24(1): 34-58 (2002) - [j3]Baback Moghaddam, Ming-Hsuan Yang:
Learning Gender with Support Faces. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 707-711 (2002) - [j2]Ming-Hsuan Yang, Narendra Ahuja, Mark Tabb:
Extraction of 2D Motion Trajectories and Its Application to Hand Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1061-1074 (2002) - [c24]Ming-Hsuan Yang:
Extended Isomap for Pattern Classification. AAAI/IAAI 2002: 224-229 - [c23]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition. ECCV (4) 2002: 685-699 - [c22]Ming-Hsuan Yang:
Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition Using Kernel Methods. FGR 2002: 215-220 - [c21]Ming-Hsuan Yang:
Face recognition using extended isomap. ICIP (2) 2002: 117-120 - [c20]Ming-Hsuan Yang:
Extended Isomap for Classification. ICPR (3) 2002: 615-618 - 2001
- [b2]Ming-Hsuan Yang, Narendra Ahuja:
Face Detection and Gesture Recognition for Human-Computer Interaction. The International Series in Video Computing 1, Springer 2001, ISBN 978-1-4613-5546-5, pp. i-xii, 1-182 - [j1]Ming-Hsuan Yang, David J. Kriegman, Narendra Ahuja:
Face Detection Using Multimodal Density Models. Comput. Vis. Image Underst. 84(2): 264-284 (2001) - [c19]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
Face detection using large margin classifiers. ICIP (2) 2001: 665-668 - [c18]Ming-Hsuan Yang:
Face Recognition Using Kernel Methods. NIPS 2001: 1457-1464 - 2000
- [b1]Ming-Hsuan Yang:
Hand Gesture Recognition and Face Detection in Images. University of Illinois Urbana-Champaign, USA, 2000 - [c17]Ming-Hsuan Yang, Narendra Ahuja:
A Geometric Approach to Train Support Vector Machines. CVPR 2000: 1430-1437 - [c16]Dan Roth, Ming-Hsuan Yang, Narendra Ahuja:
Learning to Recognize Objects. CVPR 2000: 1724-1731 - [c15]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
Learning to Recognize 3D Objects with SNoW. ECCV (1) 2000: 439-454 - [c14]Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman:
Face Detection Using Mixtures of Linear Subspaces. FG 2000: 70-76 - [c13]Baback Moghaddam, Ming-Hsuan Yang:
Gender Classification with Support Vector Machines. FG 2000: 306-313 - [c12]Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman:
Face Recognition Using Kernel Eigenfaces. ICIP 2000: 37-40 - [c11]Ming-Hsuan Yang, Baback Moghaddam:
Gender Classification Using Support Vector Machines. ICIP 2000: 471-474 - [c10]Ming-Hsuan Yang, Baback Moghaddam:
Support Vector Machines for Visual Gender Classification. ICPR 2000: 5115-5118 - [c9]Baback Moghaddam, Ming-Hsuan Yang:
Sex with Support Vector Machines. NIPS 2000: 960-966
1990 – 1999
- 1999
- [c8]Ming-Hsuan Yang, Narendra Ahuja:
Recognizing Hand Gesture Using Motion Trajectories. CVPR 1999: 1466-1472 - [c7]Ming-Hsuan Yang, Narendra Ahuja, David J. Kriegman:
Face Detection Using a Mixture of Factor Analyzers. ICIP (3) 1999: 612-616 - [c6]Ming-Hsuan Yang, Narendra Ahuja:
A data partition method for parallel self-organizing map. IJCNN 1999: 1929-1933 - [c5]Ming-Hsuan Yang, Dan Roth, Narendra Ahuja:
A SNoW-Based Face Detector. NIPS 1999: 862-868 - [c4]Ming-Hsuan Yang, Narendra Ahuja:
Gaussian mixture model for human skin color and its applications in image and video databases. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 458-466 - 1998
- [c3]Ming-Hsuan Yang, Narendra Ahuja:
Extraction and Classification of Visual Motion Patterns for Hand Gesture Recognition. CVPR 1998: 892-897 - [c2]Ming-Hsuan Yang, Narendra Ahuja:
Extracting Gestural Motion Trajectories. FG 1998: 10-15 - [c1]Ming-Hsuan Yang, Narendra Ahuja:
Detecting Human Faces in Color Images. ICIP (1) 1998: 127-130
Coauthor Index
aka: Irfan Essa
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Jin-shan Pan
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