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Bingbing Ni
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- affiliation: Shanghai Jiaotong University, Department of Electrical Engineering, China
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2020 – today
- 2024
- [j69]Xuanhong Chen, Bingbing Ni, Yutian Liu, Naiyuan Liu, Zhilin Zeng, Hang Wang:
SimSwap++: Towards Faster and High-Quality Identity Swapping. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 576-592 (2024) - [j68]Minghao Xu, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1727-1741 (2024) - [j67]Chenglong Zhao, Shibin Mei, Bingbing Ni, Shengchao Yuan, Zhenbo Yu, Jun Wang:
Variational Adversarial Defense: A Bayes Perspective for Adversarial Training. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3047-3063 (2024) - [j66]Liang Jin, Shixuan Gu, Donglai Wei, Jason Ken Adhinarta, Kaiming Kuang, Yongjie Jessica Zhang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li:
: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. IEEE Trans. Medical Imaging 43(1): 570-581 (2024) - [j65]Dingyi Rong, Zhongyin Zhao, Yue Wu, Bilian Ke, Bingbing Ni:
Prediction of Myopia Eye Axial Elongation With Orthokeratology Treatment via Dense I2I Based Corneal Topography Change Analysis. IEEE Trans. Medical Imaging 43(3): 1149-1164 (2024) - [j64]Wei Zhao, Weidao Chen, Ge Li, Du Lei, Jiancheng Yang, Yanjing Chen, Yingjia Jiang, Jiangfen Wu, Bingbing Ni, Yeqi Sun, Shaokang Wang, Yingli Sun, Ming Li, Jun Liu:
GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7324-7338 (2024) - [c159]Xuanhong Chen, Hang Wang, Jialiang Chen, Kairui Feng, Jinfan Liu, Xiaohang Wang, Weimin Zhang, Bingbing Ni:
Intrinsic Phase-Preserving Networks for Depth Super Resolution. AAAI 2024: 1210-1218 - [c158]Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni:
FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly. AAAI 2024: 3279-3287 - [c157]Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Rui Shi, Yuhan Li, Bingbing Ni:
Differentiable Micro-Mesh Construction. CVPR 2024: 4294-4303 - [c156]Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Bingbing Ni, Yugang Chen, Junxiang Ke:
Real-Time Neural BRDF with Spherically Distributed Primitives. CVPR 2024: 4337-4346 - [c155]Zhongyin Zhao, Ye Chen, Zhangli Hu, Xuanhong Chen, Bingbing Ni:
Vector Graphics Generation via Mutually Impulsed Dual-Domain Diffusion. CVPR 2024: 4420-4428 - [c154]Ye Chen, Bingbing Ni, Jinfan Liu, Xiaoyang Huang, Xuanhong Chen:
Towards High-fidelity Artistic Image Vectorization via Texture-Encapsulated Shape Parameterization. CVPR 2024: 15877-15886 - [c153]Shibin Mei, Bingbing Ni, Hang Wang, Chenglong Zhao, Fengfa Hu, Zhiming Pi, Bilian Ke:
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning. ECCV (50) 2024: 179-196 - [c152]Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Chen, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni:
Toward Tiny and High-Quality Facial Makeup with Data Amplify Learning. ECCV (27) 2024: 340-356 - [c151]Peng Zhou, Dunbo Cai, Yujian Du, Runqing Zhang, Bingbing Ni, Jie Qin, Ling Qian:
Edit3D: Elevating 3D Scene Editing with Attention-Driven Multi-Turn Interactivity. ACM Multimedia 2024: 3401-3410 - [c150]Zhangli Hu, Ye Chen, Zhongyin Zhao, Jinfan Liu, Bilian Ke, Bingbing Ni:
Towards Artist-Like Painting Agents with Multi-Granularity Semantic Alignment. ACM Multimedia 2024: 10191-10199 - [c149]Qiaoqiao Jin, Rui Shi, Yishun Dou, Bingbing Ni:
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder. PRCV (15) 2024: 479-493 - [i85]Jiancheng Yang, Rui Shi, Liang Jin, Xiaoyang Huang, Kaiming Kuang, Donglai Wei, Shixuan Gu, Jianying Liu, Pengfei Liu, Zhizhong Chai, Yongjie Xiao, Hao Chen, Liming Xu, Bang Du, Xiangyi Yan, Hao Tang, Adam M. Alessio, Gregory Holste, Jiapeng Zhang, Xiaoming Wang, Jianye He, Lixuan Che, Hanspeter Pfister, Ming Li, Bingbing Ni:
Deep Rib Fracture Instance Segmentation and Classification from CT on the RibFrac Challenge. CoRR abs/2402.09372 (2024) - [i84]Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Cheng, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni:
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning. CoRR abs/2403.15033 (2024) - [i83]Yuhan Li, Hao Zhou, Wenxiang Shang, Ran Lin, Xuanhong Chen, Bingbing Ni:
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario. CoRR abs/2405.18172 (2024) - [i82]Yangzhou Jiang, Yinxin Lin, Yaoming Wang, Teng Li, Bilian Ke, Bingbing Ni:
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck. CoRR abs/2407.00315 (2024) - [i81]Qiaoqiao Jin, Rui Shi, Yishun Dou, Bingbing Ni:
AU-vMAE: Knowledge-Guide Action Units Detection via Video Masked Autoencoder. CoRR abs/2407.11468 (2024) - [i80]Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool:
Mipmap-GS: Let Gaussians Deform with Scale-specific Mipmap for Anti-aliasing Rendering. CoRR abs/2408.06286 (2024) - 2023
- [j63]Xuetong Wang, Lu Liu, Xiaojun Hu, Yue Wu, Yuying Liu, Bingbing Ni, Bilian Ke:
Comparison of changes in visual fatigue and ocular surface after 3D and 2D viewing with augmented reality glasses. Displays 78: 102401 (2023) - [j62]Shanyan Guan, Jingwei Xu, Michelle Zhang He, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5070-5086 (2023) - [j61]Minsi Wang, Bingbing Ni, Xiaokang Yang:
Learning Multi-View Interactional Skeleton Graph for Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6940-6954 (2023) - [j60]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7001-7018 (2023) - [j59]Jinxian Liu, Bingbing Ni, Ye Chen, Zhenbo Yu, Hang Wang:
Learning by Restoring Broken 3D Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11024-11039 (2023) - [j58]Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
CIPS-3D++: End-to-End Real-Time High-Resolution 3D-Aware GANs for GAN Inversion and Stylization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11502-11520 (2023) - [j57]Wendong Zhang, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Fully context-aware image inpainting with a learned semantic pyramid. Pattern Recognit. 143: 109741 (2023) - [j56]Peng Zhou, Lingxi Xie, Bingbing Ni, Lin Liu, Qi Tian:
HRInversion: High-Resolution GAN Inversion for Cross-Domain Image Synthesis. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2147-2161 (2023) - [j55]Chenglong Zhao, Yunxiang Zhang, Bingbing Ni:
Exploiting Channel Similarity for Network Pruning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5049-5061 (2023) - [j54]Jinxian Liu, Ye Chen, Bingbing Ni, Zhenbo Yu:
Joint Global and Dynamic Pseudo Labeling for Semi-Supervised Point Cloud Sequence Segmentation. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5679-5691 (2023) - [j53]Zefan Li, Bingbing Ni, Xiaokang Yang, Wenjun Zhang, Wen Gao:
Residual Quantization for Low Bit-Width Neural Networks. IEEE Trans. Multim. 25: 214-227 (2023) - [c148]Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li:
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. AAAI 2023: 944-952 - [c147]Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang:
Boosting Point Clouds Rendering via Radiance Mapping. AAAI 2023: 953-961 - [c146]Jinxian Liu, Ye Chen, Bingbing Ni, Wei Ren, Zhenbo Yu, Xiaoyang Huang:
Fast Fluid Simulation via Dynamic Multi-Scale Gridding. AAAI 2023: 1675-1682 - [c145]Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang:
Learning Continuous Depth Representation via Geometric Spatial Aggregator. AAAI 2023: 2698-2706 - [c144]Shibin Mei, Chenglong Zhao, Bingbing Ni, Shengchao Yuan:
Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples. AAAI 2023: 9126-9133 - [c143]Yi Zhang, Xiaoyang Huang, Bingbing Ni, Wenjun Zhang, Teng Li:
Frequency-Modulated Point Cloud Rendering with Easy Editing. CVPR 2023: 119-129 - [c142]Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Hang Wang, Zhengyan Tong, Yutian Liu:
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit. CVPR 2023: 1786-1795 - [c141]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CVPR 2023: 1796-1807 - [c140]Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Bingbing Ni:
Multiplicative Fourier Level of Detail. CVPR 2023: 1808-1817 - [c139]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Exploring and Utilizing Pattern Imbalance. CVPR 2023: 7569-7578 - [c138]Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang:
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process. CVPR 2023: 16784-16794 - [c137]Hang Wang, Xuanhong Chen, Bingbing Ni, Yutian Liu, Jinfan Liu:
Omni Aggregation Networks for Lightweight Image Super-Resolution. CVPR 2023: 22378-22387 - [c136]Jie Qin, Peng Zheng, Yichao Yan, Rong Quan, Xiaogang Cheng, Bingbing Ni:
Movienet-PS: A Large-Scale Person Search Dataset in the Wild. ICASSP 2023: 1-5 - [c135]Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni:
Learning Shape Primitives via Implicit Convexity Regularization. ICCV 2023: 3619-3628 - [c134]Ye Chen, Bingbing Ni, Xuanhong Chen, Zhangli Hu:
Editable Image Geometric Abstraction via Neural Primitive Assembly. ICCV 2023: 23457-23466 - [i79]Xiaoyang Huang, Yanjun Wang, Yang Liu, Bingbing Ni, Wenjun Zhang, Jinxian Liu, Teng Li:
AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio. CoRR abs/2301.12613 (2023) - [i78]Yue Shi, Yuxuan Xiong, Jingyi Chai, Bingbing Ni, Wenjun Zhang:
USR: Unsupervised Separated 3D Garment and Human Reconstruction via Geometry and Semantic Consistency. CoRR abs/2302.10518 (2023) - [i77]Yi Zhang, Xiaoyang Huang, Bingbing Ni, Teng Li, Wenjun Zhang:
Frequency-Modulated Point Cloud Rendering with Easy Editing. CoRR abs/2303.07596 (2023) - [i76]Yuhan Li, Yishun Dou, Xuanhong Chen, Bingbing Ni, Yilin Sun, Yutian Liu, Fuzhen Wang:
3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process. CoRR abs/2303.10406 (2023) - [i75]Jinxian Liu, Ye Chen, Bingbing Ni, Jiyao Mao, Zhenbo Yu:
Inferring Fluid Dynamics via Inverse Rendering. CoRR abs/2304.04446 (2023) - [i74]Hang Wang, Xuanhong Chen, Bingbing Ni, Yutian Liu, Jinfan Liu:
Omni Aggregation Networks for Lightweight Image Super-Resolution. CoRR abs/2304.10244 (2023) - [i73]Yuhan Li, Yishun Dou, Yue Shi, Yu Lei, Xuanhong Chen, Yi Zhang, Peng Zhou, Bingbing Ni:
FocalDreamer: Text-driven 3D Editing via Focal-fusion Assembly. CoRR abs/2308.10608 (2023) - [i72]Shengchao Yuan, Yishun Dou, Rui Shi, Bingbing Ni, Zhong Zheng:
SieveNet: Selecting Point-Based Features for Mesh Networks. CoRR abs/2308.12530 (2023) - [i71]Yishun Dou, Zhong Zheng, Qiaoqiao Jin, Bingbing Ni, Yugang Chen, Junxiang Ke:
Real-Time Neural BRDF with Spherically Distributed Primitives. CoRR abs/2310.08332 (2023) - 2022
- [j52]Yichao Yan, Ning Zhuang, Bingbing Ni, Jian Zhang, Minghao Xu, Qiang Zhang, Zheng Zhang, Shuo Cheng, Qi Tian, Yi Xu, Xiaokang Yang, Wenjun Zhang:
Fine-Grained Video Captioning via Graph-based Multi-Granularity Interaction Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 666-683 (2022) - [j51]Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
Searching Towards Class-Aware Generators for Conditional Generative Adversarial Networks. IEEE Signal Process. Lett. 29: 1669-1673 (2022) - [j50]Chenglong Zhao, Bingbing Ni, Shibin Mei:
Explore Adversarial Attack via Black Box Variational Inference. IEEE Signal Process. Lett. 29: 2088-2092 (2022) - [c133]Xiwei Hu, Xuanhong Chen, Bingbing Ni, Teng Li, Yutian Liu:
Bi-volution: A Static and Dynamic Coupled Filter. AAAI 2022: 960-968 - [c132]Shibin Mei, Chenglong Zhao, Shengchao Yuan, Bingbing Ni:
Towards Bridging Sample Complexity and Model Capacity. AAAI 2022: 1972-1980 - [c131]Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang:
Cross-Species 3D Face Morphing via Alignment-Aware Controller. AAAI 2022: 3018-3026 - [c130]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, Xiaokang Yang:
Exploring Visual Context for Weakly Supervised Person Search. AAAI 2022: 3027-3035 - [c129]Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. CVPR 2022: 9696-9705 - [c128]Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua:
ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. CVPR 2022: 15840-15850 - [c127]Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li:
Contrastive Regression for Domain Adaptation on Gaze Estimation. CVPR 2022: 19354-19363 - [c126]Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng:
Object Wake-Up: 3D Object Rigging from a Single Image. ECCV (2) 2022: 311-327 - [c125]Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang:
Representation-Agnostic Shape Fields. ICLR 2022 - [c124]Yangzhou Jiang, Hanmeng Zhang, Bingbing Ni:
Revisit Regularization Techniques for Gaze Estimation Generalization. ICVIP 2022: 91-95 - [c123]Dingyi Rong, Jiancheng Yang, Bingbing Ni, Bilian Ke:
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. ISBI 2022: 1-5 - [c122]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. MICCAI (4) 2022: 503-513 - [c121]Yunhao Li, Zhenbo Yu, Yucheng Zhu, Bingbing Ni, Guangtao Zhai, Wei Shen:
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening. ACM Multimedia 2022: 1493-1502 - [c120]Xuanhong Chen, Kairui Feng, Naiyuan Liu, Bingbing Ni, Yifan Lu, Zhengyan Tong, Ziang Liu:
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling. NeurIPS 2022 - [i70]Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu:
HCSC: Hierarchical Contrastive Selective Coding. CoRR abs/2202.00455 (2022) - [i69]Xiaoyang Huang, Jiancheng Yang, Yanjun Wang, Ziyu Chen, Linguo Li, Teng Li, Bingbing Ni, Wenjun Zhang:
Representation-Agnostic Shape Fields. CoRR abs/2203.10259 (2022) - [i68]Minghao Xu, Yuanfan Guo, Xuanyu Zhu, Jiawen Li, Zhenbang Sun, Jian Tang, Yi Xu, Bingbing Ni:
HIRL: A General Framework for Hierarchical Image Representation Learning. CoRR abs/2205.13159 (2022) - [i67]Dingyi Rong, Jiancheng Yang, Bingbing Ni, Bilian Ke:
Differentiable Projection from Optical Coherence Tomography B-Scan without Retinal Layer Segmentation Supervision. CoRR abs/2206.05472 (2022) - [i66]Jiancheng Yang, Rui Shi, Udaranga Wickramasinghe, Qikui Zhu, Bingbing Ni, Pascal Fua:
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis. CoRR abs/2206.15328 (2022) - [i65]Yunhao Li, Zhenbo Yu, Yucheng Zhu, Bingbing Ni, Guangtao Zhai, Wei Shen:
Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening. CoRR abs/2210.04294 (2022) - [i64]Liang Jin, Shixuan Gu, Donglai Wei, Kaiming Kuang, Hanspeter Pfister, Bingbing Ni, Jiancheng Yang, Ming Li:
RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction. CoRR abs/2210.09309 (2022) - [i63]Xiaoyang Huang, Yi Zhang, Bingbing Ni, Teng Li, Kai Chen, Wenjun Zhang:
Boosting Point Clouds Rendering via Radiance Mapping. CoRR abs/2210.15107 (2022) - [i62]Yue Shi, Dingyi Rong, Bingbing Ni, Chang Chen, Wenjun Zhang:
GARF: Geometry-Aware Generalized Neural Radiance Field. CoRR abs/2212.02280 (2022) - [i61]Xiaohang Wang, Xuanhong Chen, Bingbing Ni, Zhengyan Tong, Hang Wang:
Learning Continuous Depth Representation via Geometric Spatial Aggregator. CoRR abs/2212.03499 (2022) - [i60]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022) - 2021
- [j49]Jingwei Xu, Bingbing Ni, Xiaokang Yang:
Progressive Multi-granularity Analysis for Video Prediction. Int. J. Comput. Vis. 129(3): 601-618 (2021) - [j48]Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang:
Adaptive Region Proposal With Channel Regularization for Robust Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1268-1282 (2021) - [j47]Jiancheng Yang, Xiaoyang Huang, Yi He, Jingwei Xu, Canqian Yang, Guozheng Xu, Bingbing Ni:
Reinventing 2D Convolutions for 3D Images. IEEE J. Biomed. Health Informatics 25(8): 3009-3018 (2021) - [c119]Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang:
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. AAAI 2021: 609-616 - [c118]Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang:
3D Human Action Representation Learning via Cross-View Consistency Pursuit. CVPR 2021: 4741-4750 - [c117]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. CVPR 2021: 9767-9776 - [c116]Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction. CVPR 2021: 10472-10481 - [c115]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. ICCV 2021: 7950-7959 - [c114]Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, Qi Tian:
Shape Self-Correction for Unsupervised Point Cloud Understanding. ICCV 2021: 8362-8371 - [c113]Zhenbo Yu, Junjie Wang, Jingwei Xu, Bingbing Ni, Chenglong Zhao, Minsi Wang, Wenjun Zhang:
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery. ICCV 2021: 8599-8609 - [c112]Zhenbo Yu, Bingbing Ni, Jingwei Xu, Junjie Wang, Chenglong Zhao, Wenjun Zhang:
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation. ICCV 2021: 8631 - [c111]Yue Shi, Bingbing Ni, Jinxian Liu, Dingyi Rong, Ye Qian, Wenjun Zhang:
Geometric Granularity Aware Pixel-to-Mesh. ICCV 2021: 13077-13086 - [c110]Peng Zhou, Lingxi Xie, Bingbing Ni, Cong Geng, Qi Tian:
Omni-GAN: On the Secrets of cGANs and Beyond. ICCV 2021: 14041-14051 - [c109]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. ICML 2021: 11548-11558 - [c108]Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang:
Context-Aware Image Inpainting with Learned Semantic Priors. IJCAI 2021: 1323-1329 - [c107]Jiancheng Yang, Rui Shi, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. ISBI 2021: 191-195 - [c106]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. MICCAI (5) 2021: 571-580 - [c105]Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni:
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. MICCAI (1) 2021: 611-621 - [c104]Ting Qiu, Bingbing Ni, Ziang Liu, Xuanhong Chen:
Fast Optimal Transport Artistic Style Transfer. MMM (1) 2021: 37-49 - [c103]Minghao Xu, Meng Qu, Bingbing Ni, Jian Tang:
Joint Modeling of Visual Objects and Relations for Scene Graph Generation. NeurIPS 2021: 7689-7702 - [i59]Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction. CoRR abs/2103.16449 (2021) - [i58]Minghao Xu, Hang Wang, Bingbing Ni:
Graphical Modeling for Multi-Source Domain Adaptation. CoRR abs/2104.13057 (2021) - [i57]Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao:
Learning Multi-Attention Context Graph for Group-Based Re-Identification. CoRR abs/2104.14236 (2021) - [i56]Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang:
3D Human Action Representation Learning via Cross-View Consistency Pursuit. CoRR abs/2104.14466 (2021) - [i55]Xuanhong Chen, Hang Wang, Bingbing Ni:
X-volution: On the unification of convolution and self-attention. CoRR abs/2106.02253 (2021) - [i54]Minghao Xu, Hang Wang, Bingbing Ni, Hongyu Guo, Jian Tang:
Self-supervised Graph-level Representation Learning with Local and Global Structure. CoRR abs/2106.04113 (2021) - [i53]Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao:
Progressive Stage-wise Learning for Unsupervised Feature Representation Enhancement. CoRR abs/2106.05554 (2021) - [i52]Renwang Chen, Xuanhong Chen, Bingbing Ni, Yanhao Ge:
SimSwap: An Efficient Framework For High Fidelity Face Swapping. CoRR abs/2106.06340 (2021) - [i51]Wendong Zhang, Junwei Zhu, Ying Tai, Yunbo Wang, Wenqing Chu, Bingbing Ni, Chengjie Wang, Xiaokang Yang:
Context-Aware Image Inpainting with Learned Semantic Priors. CoRR abs/2106.07220 (2021) - [i50]Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang, Ling Shao:
Exploring Visual Context for Weakly Supervised Person Search. CoRR abs/2106.10506 (2021) - [i49]Xinxin Zuo, Ji Yang, Sen Wang, Zhenbo Yu, Xinyu Li, Bingbing Ni, Minglun Gong, Li Cheng:
Object Wake-up: 3-D Object Reconstruction, Animation, and in-situ Rendering from a Single Image. CoRR abs/2108.02708 (2021) - [i48]Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang:
Cross-category Video Highlight Detection via Set-based Learning. CoRR abs/2108.11770 (2021) - [i47]Ruoxi Shi, Borui Yang, Yangzhou Jiang, Chenglong Zhao, Bingbing Ni:
Energy Attack: On Transferring Adversarial Examples. CoRR abs/2109.04300 (2021) - [i46]Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni:
Asymmetric 3D Context Fusion for Universal Lesion Detection. CoRR abs/2109.08684 (2021) - [i45]Jiancheng Yang, Shixuan Gu, Donglai Wei, Hanspeter Pfister, Bingbing Ni:
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans. CoRR abs/2109.09521 (2021) - [i44]Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
CIPS-3D: A 3D-Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis. CoRR abs/2110.09788 (2021) - [i43]Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni:
MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification. CoRR abs/2110.14795 (2021) - [i42]Shanyan Guan, Jingwei Xu, Michelle Zhang He, Yunbo Wang, Bingbing Ni, Xiaokang Yang:
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation. CoRR abs/2111.04017 (2021) - [i41]Yichao Yan, Junjie Li, Shengcai Liao, Jie Qin, Bingbing Ni, Xiaokang Yang:
TAL: Two-stream Adaptive Learning for Generalizable Person Re-identification. CoRR abs/2111.14290 (2021) - [i40]Peng Zheng, Jie Qin, Yichao Yan, Shengcai Liao, Bingbing Ni, Xiaogang Cheng, Ling Shao:
Global-Local Context Network for Person Search. CoRR abs/2112.02500 (2021) - [i39]Wendong Zhang, Yunbo Wang, Junwei Zhu, Ying Tai, Bingbing Ni, Xiaokang Yang:
Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid. CoRR abs/2112.04107 (2021) - 2020
- [j46]Yichao Yan, Bingbing Ni, Huawei Wei, Xiaokang Yang:
Fine-grained image analysis via progressive feature learning. Neurocomputing 396: 254-265 (2020) - [j45]Ning Zhuang, Bingbing Ni, Yi Xu, Xiaokang Yang, Wenjun Zhang, Zefan Li, Wen Gao:
MUGGLE: MUlti-Stream Group Gaze Learning and Estimation. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3637-3650 (2020) - [j44]Muming Zhao, Chongyang Zhang, Jian Zhang, Fatih Porikli, Bingbing Ni, Wenjun Zhang:
Scale-Aware Crowd Counting via Depth-Embedded Convolutional Neural Networks. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3651-3662 (2020) - [j43]Jiale Bai, Zefan Li, Bingbing Ni, Minsi Wang, Xiaokang Yang, Chuanping Hu, Wen Gao:
Loopy Residual Hashing: Filling the Quantization Gap for Image Retrieval. IEEE Trans. Multim. 22(1): 215-228 (2020) - [c102]Minghui Yu, Jinxian Liu, Bingbing Ni, Caiyuan Li:
Two-Stage Relation Constraint for Semantic Segmentation of Point Clouds. 3DV 2020: 271-280 - [c101]Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. AAAI 2020: 6502-6509 - [c100]Jingwei Xu, Zhenbo Yu, Bingbing Ni, Jiancheng Yang, Xiaokang Yang, Wenjun Zhang:
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation. CVPR 2020: 896-905 - [c99]Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-Domain Detection via Graph-Induced Prototype Alignment. CVPR 2020: 12352-12361 - [c98]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-Based Networks for Motion Synthesis. ECCV (11) 2020: 178-194 - [c97]Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen:
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds. ECCV (22) 2020: 187-204 - [c96]Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian:
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing. ECCV (11) 2020: 670-686 - [c95]Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang:
Learning to Combine: Knowledge Aggregation for Multi-source Domain Adaptation. ECCV (8) 2020: 727-744 - [c94]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. ICML 2020: 10628-10637 - [c93]Xi Fang, Jiancheng Yang, Bingbing Ni:
Stochastic Label Refinery: Toward Better Target Label Distribution. ICPR 2020: 9115-9121 - [c92]Ying Zou, Chenglong Zhao, Bingbing Ni:
Adversarial Attack on Video Retrieval. ICVIP 2020: 174-178 - [c91]Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning Between Multiple Pulmonary Nodules via Deep Set Attention Transformers. ISBI 2020: 1875-1878 - [c90]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. MICCAI (2) 2020: 211-220 - [c89]Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. MICCAI (6) 2020: 497-507 - [c88]Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni:
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. MICCAI (4) 2020: 562-572 - [c87]Renwang Chen, Xuanhong Chen, Bingbing Ni, Yanhao Ge:
SimSwap: An Efficient Framework For High Fidelity Face Swapping. ACM Multimedia 2020: 2003-2011 - [c86]Xuanhong Chen, Xirui Yan, Naiyuan Liu, Ting Qiu, Bingbing Ni:
Anisotropic Stroke Control for Multiple Artists Style Transfer. ACM Multimedia 2020: 3246-3255 - [c85]Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni:
CartoonRenderer: An Instance-Based Multi-style Cartoon Image Translator. MMM (1) 2020: 176-187 - [c84]Muchun Chen, Yugang Chen, Truong Tan Loc, Bingbing Ni:
Real-Time Multiple Pedestrians Tracking in Multi-camera System. MMM (1) 2020: 468-479 - [c83]Siying Zhai, Xiwei Hu, Xuanhong Chen, Bingbing Ni, Wenjun Zhang:
Resolution Booster: Global Structure Preserving Stitching Method for Ultra-High Resolution Image Translation. MMM (1) 2020: 702-713 - [c82]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. NeurIPS 2020 - [i38]Minghao Xu, Hang Wang, Bingbing Ni, Qi Tian, Wenjun Zhang:
Cross-domain Detection via Graph-induced Prototype Alignment. CoRR abs/2003.12849 (2020) - [i37]Jiancheng Yang, Haoran Deng, Xiaoyang Huang, Bingbing Ni, Yi Xu:
Relational Learning between Multiple Pulmonary Nodules via Deep Set Attention Transformers. CoRR abs/2004.05640 (2020) - [i36]Jiancheng Yang, Yi He, Xiaoyang Huang, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Bingbing Ni:
AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes. CoRR abs/2005.01969 (2020) - [i35]Peng Zhou, Lingxi Xie, Xiaopeng Zhang, Bingbing Ni, Qi Tian:
Searching towards Class-Aware Generators for Conditional Generative Adversarial Networks. CoRR abs/2006.14208 (2020) - [i34]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Trevor Darrell:
Video Prediction via Example Guidance. CoRR abs/2007.01738 (2020) - [i33]Shanyan Guan, Ying Tai, Bingbing Ni, Feida Zhu, Feiyue Huang, Xiaokang Yang:
Collaborative Learning for Faster StyleGAN Embedding. CoRR abs/2007.01758 (2020) - [i32]Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang:
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation. CoRR abs/2007.08801 (2020) - [i31]Jinxian Liu, Minghui Yu, Bingbing Ni, Ye Chen:
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds. CoRR abs/2007.13344 (2020) - [i30]Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell:
Hierarchical Style-based Networks for Motion Synthesis. CoRR abs/2008.10162 (2020) - [i29]Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen:
Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study. CoRR abs/2010.04049 (2020) - [i28]Jiancheng Yang, Jiajun Chen, Kaiming Kuang, Tiancheng Lin, Junjun He, Bingbing Ni:
MIA-Prognosis: A Deep Learning Framework to Predict Therapy Response. CoRR abs/2010.04062 (2020) - [i27]Xuanhong Chen, Xirui Yan, Naiyuan Liu, Ting Qiu, Bingbing Ni:
Anisotropic Stroke Control for Multiple Artists Style Transfer. CoRR abs/2010.08175 (2020) - [i26]Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang, Bingbing Ni, Chenglong Zhao:
Learning Black-Box Attackers with Transferable Priors and Query Feedback. CoRR abs/2010.11742 (2020) - [i25]Jiancheng Yang, Rui Shi, Bingbing Ni:
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis. CoRR abs/2010.14925 (2020) - [i24]Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian:
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing. CoRR abs/2011.01563 (2020) - [i23]Peng Zhou, Lingxi Xie, Bingbing Ni, Qi Tian:
Omni-GAN: On the Secrets of cGANs and Beyond. CoRR abs/2011.13074 (2020) - [i22]Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang:
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. CoRR abs/2012.09004 (2020) - [i21]Xuanhong Chen, Kairui Feng, Naiyuan Liu, Yifan Lu, Zhengyan Tong, Bingbing Ni, Ziang Liu, Ning Lin:
RainNet: A Large-Scale Dataset for Spatial Precipitation Downscaling. CoRR abs/2012.09700 (2020) - [i20]Xuanhong Chen, Ziang Liu, Ting Qiu, Bingbing Ni, Naiyuan Liu, Xiwei Hu, Yuhan Li:
Image Translation via Fine-grained Knowledge Transfer. CoRR abs/2012.11193 (2020)
2010 – 2019
- 2019
- [j42]Yichao Yan, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang:
Cross-modality motion parameterization for fine-grained video prediction. Comput. Vis. Image Underst. 183: 11-19 (2019) - [j41]Xiankai Lu, Bingbing Ni, Chao Ma, Xiaokang Yang:
Learning transform-aware attentive network for object tracking. Neurocomputing 349: 133-144 (2019) - [j40]Ning Zhuang, Qiang Zhang, Cenhui Pan, Bingbing Ni, Yi Xu, Xiaokang Yang, Wenjun Zhang:
Recognition oriented facial image quality assessment via deep convolutional neural network. Neurocomputing 358: 109-118 (2019) - [j39]Ning Zhuang, Qiang Zhang, Yang Shen, Zefan Li, Bingbing Ni, Wenjun Zhang:
Long term activity prediction in first person viewpoint. Pattern Recognit. Lett. 125: 708-714 (2019) - [j38]Yichao Yan, Bingbing Ni, Jinxian Liu, Xiaokang Yang:
Multi-level attention model for person re-identification. Pattern Recognit. Lett. 127: 156-164 (2019) - [j37]Yichao Yan, Bingbing Ni, Wendong Zhang, Jingwei Xu, Xiaokang Yang:
Structure-Constrained Motion Sequence Generation. IEEE Trans. Multim. 21(7): 1799-1812 (2019) - [j36]Jiale Bai, Bingbing Ni, Minsi Wang, Zefan Li, Shuo Cheng, Xiaokang Yang, Chuanping Hu, Wen Gao:
Deep Progressive Hashing for Image Retrieval. IEEE Trans. Multim. 21(12): 3178-3193 (2019) - [c81]Kun Huang, Bingbing Ni, Xiaokang Yang:
Efficient Quantization for Neural Networks with Binary Weights and Low Bitwidth Activations. AAAI 2019: 3854-3861 - [c80]Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang, Jun Tang, Xiaokang Yang:
Human Action Transfer Based on 3D Model Reconstruction. AAAI 2019: 8352-8359 - [c79]Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. CVPR 2019: 2158-2167 - [c78]Chenglong Zhao, Bingbing Ni, Jian Zhang, Qiwei Zhao, Wenjun Zhang, Qi Tian:
Variational Convolutional Neural Network Pruning. CVPR 2019: 2780-2789 - [c77]Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling. CVPR 2019: 3323-3332 - [c76]Jian Zhang, Chenglong Zhao, Bingbing Ni, Minghao Xu, Xiaokang Yang:
Variational Few-Shot Learning. ICCV 2019: 1685-1694 - [c75]Jinxian Liu, Bingbing Ni, Caiyuan Li, Jiancheng Yang, Qi Tian:
Dynamic Points Agglomeration for Hierarchical Point Sets Learning. ICCV 2019: 7545-7554 - [c74]Zheng Zhang, Yi Xu, He Wang, Bingbing Ni, Hongteng Xu:
Single-Image Rain Removal Via Multi-Scale Cascading Image Generation. ICIP 2019: 2771-2775 - [c73]Xiaohui Lin, Yi Xu, Mingda Wang, Bingbing Ni, Xiaokang Yang, Guangyu Tao, Xiaodan Ye:
Cross Modality Alignment of Medical Volumes using Spatio-Semantic Attentive Cycle-GAN. ICME 2019: 874-879 - [c72]Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li:
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. MICCAI (6) 2019: 658-666 - [i19]Jiancheng Yang, Qiang Zhang, Rongyao Fang, Bingbing Ni, Jinxian Liu, Qi Tian:
Adversarial Attack and Defense on Point Sets. CoRR abs/1902.10899 (2019) - [i18]Zhenyu Duan, Martin Renqiang Min, Li Erran Li, Mingbo Cai, Yi Xu, Bingbing Ni:
Disentangled Deep Autoencoding Regularization for Robust Image Classification. CoRR abs/1902.11134 (2019) - [i17]Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang:
Learning Context Graph for Person Search. CoRR abs/1904.01830 (2019) - [i16]Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian:
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling. CoRR abs/1904.03375 (2019) - [i15]Yunxiang Zhang, Chenglong Zhao, Bingbing Ni, Jian Zhang, Haoran Deng:
Exploiting Channel Similarity for Accelerating Deep Convolutional Neural Networks. CoRR abs/1908.02620 (2019) - [i14]Xiaoyang Huang, Jiancheng Yang, Linguo Li, Haoran Deng, Bingbing Ni, Yi Xu:
Evaluating and Boosting Uncertainty Quantification in Classification. CoRR abs/1909.06030 (2019) - [i13]Jiancheng Yang, Rongyao Fang, Bingbing Ni, Yamin Li, Yi Xu, Linguo Li:
Probabilistic Radiomics: Ambiguous Diagnosis with Controllable Shape Analysis. CoRR abs/1910.08878 (2019) - [i12]Chaoyue Song, Yugang Chen, Shulai Zhang, Bingbing Ni:
Facial Image Deformation Based on Landmark Detection. CoRR abs/1910.13671 (2019) - [i11]Yugang Chen, Muchun Chen, Chaoyue Song, Bingbing Ni:
CartoonRenderer: An Instance-based Multi-Style Cartoon Image Translator. CoRR abs/1911.06102 (2019) - [i10]Jiancheng Yang, Xiaoyang Huang, Bingbing Ni, Jingwei Xu, Canqian Yang, Guozheng Xu:
Reinventing 2D Convolutions for 3D Medical Images. CoRR abs/1911.10477 (2019) - [i9]Minghao Xu, Jian Zhang, Bingbing Ni, Teng Li, Chengjie Wang, Qi Tian, Wenjun Zhang:
Adversarial Domain Adaptation with Domain Mixup. CoRR abs/1912.01805 (2019) - 2018
- [j35]Changzhi Luo, Zhijun Meng, Jiashi Feng, Bingbing Ni, Meng Wang:
Annotation modification for fine-grained visual recognition. Neurocomputing 274: 58-65 (2018) - [j34]Meng Wang, Changzhi Luo, Bingbing Ni, Jun Yuan, Jianfeng Wang, Shuicheng Yan:
First-Person Daily Activity Recognition With Manipulated Object Proposals and Non-Linear Feature Fusion. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2946-2955 (2018) - [j33]Bingbing Ni, Teng Li, Xiaokang Yang:
Learning Semantic-Aligned Action Representation. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3715-3725 (2018) - [c71]Huawei Wei, Bingbing Ni, Yichao Yan, Huanyu Yu, Xiaokang Yang, Chen Yao:
Video Summarization via Semantic Attended Networks. AAAI 2018: 216-223 - [c70]Weiyao Lin, Chongyang Zhang, Ke Lu, Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong:
Action Recognition With Coarse-to-Fine Deep Feature Integration and Asynchronous Fusion. AAAI 2018: 7130-7137 - [c69]Peng Zhou, Bingbing Ni, Cong Geng, Jianguo Hu, Yi Xu:
Scale-Transferrable Object Detection. CVPR 2018: 528-537 - [c68]Jingwei Xu, Bingbing Ni, Zefan Li, Shuo Cheng, Xiaokang Yang:
Structure Preserving Video Prediction. CVPR 2018: 1460-1469 - [c67]Taiping Yao, Minsi Wang, Bingbing Ni, Huawei Wei, Xiaokang Yang:
Multiple Granularity Group Interaction Prediction. CVPR 2018: 2246-2254 - [c66]Jinxian Liu, Bingbing Ni, Yichao Yan, Peng Zhou, Shuo Cheng, Jianguo Hu:
Pose Transferrable Person Re-Identification. CVPR 2018: 4099-4108 - [c65]Zan Shen, Yi Xu, Bingbing Ni, Minsi Wang, Jianguo Hu, Xiaokang Yang:
Crowd Counting via Adversarial Cross-Scale Consistency Pursuit. CVPR 2018: 5245-5254 - [c64]Huanyu Yu, Shuo Cheng, Bingbing Ni, Minsi Wang, Jian Zhang, Xiaokang Yang:
Fine-Grained Video Captioning for Sports Narrative. CVPR 2018: 6006-6015 - [c63]Yang Shen, Bingbing Ni, Zefan Li, Ning Zhuang:
Egocentric Activity Prediction via Event Modulated Attention. ECCV (2) 2018: 202-217 - [c62]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 - [c61]Jie Zhang, Yi Xu, Bingbing Ni, Zhenyu Duan:
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection. ECCV (1) 2018: 502-518 - [c60]He Wang, Yi Xu, Bingbing Ni, Lixue Zhuang, Hongteng Xu:
Flexible Network Binarization with Layer-Wise Priority. ICIP 2018: 2346-2350 - [c59]Zhouyingcheng Liao, Peng Zhou, Qinlong Wu, Bingbing Ni:
Uniface: A Unified Network for Face Detection and Recognition. ICPR 2018: 3531-3536 - [c58]Zhongyue Huang, Jingwei Xu, Bingbing Ni:
Human Motion Generation via Cross-Space Constrained Sampling. IJCAI 2018: 757-763 - [c57]Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni:
Live Face Verification with Multiple Instantialized Local Homographic Parameterization. IJCAI 2018: 814-820 - [c56]Yuheng Zhi, Huawei Wei, Bingbing Ni:
Structure Guided Photorealistic Style Transfer. ACM Multimedia 2018: 365-373 - [c55]Wendong Zhang, Feng Gao, Bingbing Ni, Lingyu Duan, Yichao Yan, Jingwei Xu, Xiaokang Yang:
Depth Structure Preserving Scene Image Generation. ACM Multimedia 2018: 727-736 - [c54]Jingwei Xu, Bingbing Ni, Xiaokang Yang:
Video Prediction via Selective Sampling. NeurIPS 2018: 1712-1722 - [c53]Zhan Wang, Taiping Yao, Huawei Wei, Shanyan Guan, Bingbing Ni:
Multi-person/Group Interactive Video Generation. PCM (2) 2018: 307-317 - 2017
- [j32]Fudong Nian, Teng Li, Yan Wang, Xinyu Wu, Bingbing Ni, Changsheng Xu:
Learning explicit video attributes from mid-level representation for video captioning. Comput. Vis. Image Underst. 163: 126-138 (2017) - [c52]Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha:
Unsupervised Deep Learning for Optical Flow Estimation. AAAI 2017: 1495-1501 - [c51]Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang:
Zero-Shot Action Recognition with Error-Correcting Output Codes. CVPR 2017: 1042-1051 - [c50]Rui Yang, Bingbing Ni, Chao Ma, Yi Xu, Xiaokang Yang:
Video Segmentation via Multiple Granularity Analysis. CVPR 2017: 6383-6392 - [c49]Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang:
Binary Coding for Partial Action Analysis with Limited Observation Ratios. CVPR 2017: 6728-6737 - [c48]Minsi Wang, Bingbing Ni, Xiaokang Yang:
Recurrent Modeling of Interaction Context for Collective Activity Recognition. CVPR 2017: 7408-7416 - [c47]Zefan Li, Bingbing Ni, Wenjun Zhang, Xiaokang Yang, Wen Gao:
Performance Guaranteed Network Acceleration via High-Order Residual Quantization. ICCV 2017: 2603-2611 - [c46]Lixue Zhuang, Yi Xu, Bingbing Ni:
Pedestrian Detection Using ACF Based Fast R-CNN. IFTC 2017: 172-181 - [c45]Donghao Luo, Bingbing Ni, Yichao Yan, Xiaokang Yang:
Image Matching via Loopy RNN. IJCAI 2017: 2407-2413 - [c44]Yichao Yan, Bingbing Ni, Xiaokang Yang:
Predicting Human Interaction via Relative Attention Model. IJCAI 2017: 3245-3251 - [c43]Yichao Yan, Jingwei Xu, Bingbing Ni, Wendong Zhang, Xiaokang Yang:
Skeleton-Aided Articulated Motion Generation. ACM Multimedia 2017: 199-207 - [c42]Jiale Bai, Bingbing Ni, Minsi Wang, Yang Shen, Hanjiang Lai, Chongyang Zhang, Lin Mei, Chuanping Hu, Chen Yao:
Deep Progressive Hashing for Image Retrieval. ACM Multimedia 2017: 208-216 - [c41]Zhichao Song, Bingbing Ni, Yichao Yan, Zhe Ren, Yi Xu, Xiaokang Yang:
Deep Cross-Modality Alignment for Multi-Shot Person Re-IDentification. ACM Multimedia 2017: 645-653 - [c40]Zhenyu Duan, Jinpeng Lan, Yi Xu, Bingbing Ni, Lixue Zhuang, Xiaokang Yang:
Pedestrian Detection via Bi-directional Multi-scale Analysis. ACM Multimedia 2017: 1023-1031 - [c39]Yichao Yan, Bingbing Ni, Xiaokang Yang:
Fine-Grained Recognition via Attribute-Guided Attentive Feature Aggregation. ACM Multimedia 2017: 1032-1040 - [c38]Qiaobo Chen, Xu Yi, Bingbing Ni, Zan Shen, Xiaokang Yang:
Rain removal via residual generation cascading. VCIP 2017: 1-4 - [c37]Yumeng Zhu, Yi Xu, Bingbing Ni, Jie Zhang, Xiaokang Yang:
Enhancing pulmonary nodule detection via cross-modal alignment. VCIP 2017: 1-4 - [i8]Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, Xiaokang Yang:
Person Re-Identification via Recurrent Feature Aggregation. CoRR abs/1701.06351 (2017) - [i7]Yichao Yan, Bingbing Ni, Xiaokang Yang:
Predicting Human Interaction via Relative Attention Model. CoRR abs/1705.09467 (2017) - [i6]Donghao Luo, Bingbing Ni, Yichao Yan, Xiaokang Yang:
Image Matching via Loopy RNN. CoRR abs/1706.03190 (2017) - [i5]Yichao Yan, Jingwei Xu, Bingbing Ni, Xiaokang Yang:
Skeleton-aided Articulated Motion Generation. CoRR abs/1707.01058 (2017) - [i4]Zefan Li, Bingbing Ni, Wenjun Zhang, Xiaokang Yang, Wen Gao:
Performance Guaranteed Network Acceleration via High-Order Residual Quantization. CoRR abs/1708.08687 (2017) - 2016
- [j31]Bingbing Ni, Vignesh R. Paramathayalan, Teng Li, Pierre Moulin:
Multiple Granularity Modeling: A Coarse-to-Fine Framework for Fine-grained Action Analysis. Int. J. Comput. Vis. 120(1): 28-43 (2016) - [j30]Teng Li, Bingbing Ni, Xinyu Wu, Qingwei Gao, Qianmu Li, Dong Sun:
On random hyper-class random forest for visual classification. Neurocomputing 172: 281-289 (2016) - [j29]Teng Li, Zhijun Meng, Bingbing Ni, Jianbing Shen, Meng Wang:
Robust geometric ℓp-norm feature pooling for image classification and action recognition. Image Vis. Comput. 55: 64-76 (2016) - [j28]Yan Yan, Zhigang Ma, Bingbing Ni:
Guest Editorial: Representation Learning for Multimedia Data Understanding. Multim. Tools Appl. 75(15): 9167-9168 (2016) - [j27]Yunchao Wei, Wei Xia, Min Lin, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan:
HCP: A Flexible CNN Framework for Multi-Label Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1901-1907 (2016) - [j26]Chao Ma, Yi Xu, Bingbing Ni, Xiaokang Yang:
When Correlation Filters Meet Convolutional Neural Networks for Visual Tracking. IEEE Signal Process. Lett. 23(10): 1454-1458 (2016) - [j25]Teng Li, Bin Cheng, Bingbing Ni, Guangchan Liu, Shuicheng Yan:
Multitask Low-Rank Affinity Graph for Image Segmentation and Image Annotation. ACM Trans. Intell. Syst. Technol. 7(4): 65:1-65:18 (2016) - [j24]Changzhi Luo, Bingbing Ni, Shuicheng Yan, Meng Wang:
Image Classification by Selective Regularized Subspace Learning. IEEE Trans. Multim. 18(1): 40-50 (2016) - [c36]Chongyang Zhang, Bingbing Ni, Li Song, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang:
BEST: Benchmark and Evaluation of Surveillance Task. ACCV Workshops (3) 2016: 393-407 - [c35]Bingbing Ni, Xiaokang Yang, Shenghua Gao:
Progressively Parsing Interactional Objects for Fine Grained Action Detection. CVPR 2016: 1020-1028 - [c34]Yang Zhou, Bingbing Ni, Richang Hong, Xiaokang Yang, Qi Tian:
Cascaded Interactional Targeting Network for Egocentric Video Analysis. CVPR 2016: 1904-1913 - [c33]Jun Yuan, Bingbing Ni, Xiaokang Yang, Ashraf A. Kassim:
Temporal Action Localization with Pyramid of Score Distribution Features. CVPR 2016: 3093-3102 - [c32]Yichao Yan, Bingbing Ni, Zhichao Song, Chao Ma, Yan Yan, Xiaokang Yang:
Person Re-identification via Recurrent Feature Aggregation. ECCV (6) 2016: 701-716 - [c31]Cenhui Pan, Bingbing Ni, Yi Xu, Xiaokang Yang:
Recognition Oriented Facial Image Quality Assessment via Deep Convolutional Neural Network. ICIMCS 2016: 160-163 - 2015
- [j23]Bingbing Ni, Pierre Moulin, Shuicheng Yan:
Pose Adaptive Motion Feature Pooling for Human Action Analysis. Int. J. Comput. Vis. 111(2): 229-248 (2015) - [j22]Teng Li, Xinyu Wu, Bingbing Ni, Ke Lu, Shuicheng Yan:
Weakly-supervised scene parsing with multiple contextual cues. Inf. Sci. 323: 59-72 (2015) - [j21]Bingbing Ni, Pierre Moulin, Shuicheng Yan:
Order Preserving Sparse Coding. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1615-1628 (2015) - [j20]Teng Li, Huan Chang, Meng Wang, Bingbing Ni, Richang Hong, Shuicheng Yan:
Crowded Scene Analysis: A Survey. IEEE Trans. Circuits Syst. Video Technol. 25(3): 367-386 (2015) - [j19]Meng Wang, Weisheng Li, Dong Liu, Bingbing Ni, Jialie Shen, Shuicheng Yan:
Facilitating Image Search With a Scalable and Compact Semantic Mapping. IEEE Trans. Cybern. 45(8): 1561-1574 (2015) - [j18]Teng Li, Bingbing Ni, Mengdi Xu, Meng Wang, Qingwei Gao, Shuicheng Yan:
Data-Driven Affective Filtering for Images and Videos. IEEE Trans. Cybern. 45(10): 2336-2349 (2015) - [j17]Lin Chen, Jianbing Shen, Wenguan Wang, Bingbing Ni:
Video Object Segmentation Via Dense Trajectories. IEEE Trans. Multim. 17(12): 2225-2234 (2015) - [c30]Yang Zhou, Bingbing Ni, Richang Hong, Meng Wang, Qi Tian:
Interaction part mining: A mid-level approach for fine-grained action recognition. CVPR 2015: 3323-3331 - [c29]Bingbing Ni, Pierre Moulin, Xiaokang Yang, Shuicheng Yan:
Motion Part Regularization: Improving action recognition via trajectory group selection. CVPR 2015: 3698-3706 - [c28]Tom Z. J. Fu, Jianbing Ding, Richard T. B. Ma, Marianne Winslett, Yin Yang, Zhenjie Zhang, Yong Pei, Bingbing Ni:
LiveTraj: Real-Time Trajectory Tracking over Live Video Streams. ACM Multimedia 2015: 777-780 - [c27]Si Liu, Bingbing Ni, Liang Lin:
Human-Centric Images and Videos Analysis. ACM Multimedia 2015: 1331-1332 - [i3]Teng Li, Huan Chang, Meng Wang, Bingbing Ni, Richang Hong, Shuicheng Yan:
Crowded Scene Analysis: A Survey. CoRR abs/1502.01812 (2015) - 2014
- [j16]Bingbing Ni, Mengdi Xu, Tam V. Nguyen, Meng Wang, Congyan Lang, ZhongYang Huang, Shuicheng Yan:
Touch Saliency: Characteristics and Prediction. IEEE Trans. Multim. 16(6): 1779-1791 (2014) - [c26]Bingbing Ni, Vignesh R. Paramathayalan, Pierre Moulin:
Multiple Granularity Analysis for Fine-Grained Action Detection. CVPR 2014: 756-763 - [c25]Bingbing Ni, Teng Li, Pierre Moulin:
Beta Process Multiple Kernel Learning. CVPR 2014: 963-970 - [c24]Yang Zhou, Bingbing Ni, Shuicheng Yan, Pierre Moulin, Qi Tian:
Pipelining Localized Semantic Features for Fine-Grained Action Recognition. ECCV (4) 2014: 481-496 - [c23]Yong Pei, Bingbing Ni, Indriyati Atmosukarto:
Mixture of Heterogeneous Attribute Analyzers for Human Action Detection. ECCV Workshops (1) 2014: 528-540 - [i2]Yunchao Wei, Wei Xia, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan:
CNN: Single-label to Multi-label. CoRR abs/1406.5726 (2014) - [i1]Jun Yuan, Bingbing Ni, Ashraf A. Kassim:
Half-CNN: A General Framework for Whole-Image Regression. CoRR abs/1412.6885 (2014) - 2013
- [j15]Bingbing Ni, Yong Pei, Pierre Moulin, Shuicheng Yan:
Multilevel Depth and Image Fusion for Human Activity Detection. IEEE Trans. Cybern. 43(5): 1383-1394 (2013) - [j14]Bingbing Ni, Shuicheng Yan, Meng Wang, Ashraf A. Kassim, Qi Tian:
High-Order Local Spatial Context Modeling by Spatialized Random Forest. IEEE Trans. Image Process. 22(2): 739-751 (2013) - [j13]Bingbing Ni, Mengdi Xu, Bin Cheng, Meng Wang, Shuicheng Yan, Qi Tian:
Learning to Photograph: A Compositional Perspective. IEEE Trans. Multim. 15(5): 1138-1151 (2013) - [j12]Tam V. Nguyen, Bingbing Ni, Hairong Liu, Wei Xia, Jiebo Luo, Mohan S. Kankanhalli, Shuicheng Yan:
Image Re-Attentionizing. IEEE Trans. Multim. 15(8): 1910-1919 (2013) - [j11]Tam V. Nguyen, Si Liu, Bingbing Ni, Jun Tan, Yong Rui, Shuicheng Yan:
Towards decrypting attractiveness via multi-modality cues. ACM Trans. Multim. Comput. Commun. Appl. 9(4): 28:1-28:20 (2013) - [c22]Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, Pierre Moulin:
Integrating multi-stage depth-induced contextual information for human action recognition and localization. FG 2013: 1-8 - [c21]Bingbing Ni, Pierre Moulin:
Manipulation Pattern Discovery: A Nonparametric Bayesian Approach. ICCV 2013: 1361-1368 - [p1]Bingbing Ni, Gang Wang, Pierre Moulin:
RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition. Consumer Depth Cameras for Computer Vision 2013: 193-208 - 2012
- [j10]Meng Wang, Bingbing Ni, Xian-Sheng Hua, Tat-Seng Chua:
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration. ACM Comput. Surv. 44(4): 25:1-25:24 (2012) - [j9]Tao Wang, Guojun Dai, Bingbing Ni, De Xu, François Siewe:
A distance measure between labeled combinatorial maps. Comput. Vis. Image Underst. 116(12): 1168-1177 (2012) - [j8]Congyan Lang, Songhe Feng, Bing Cheng, Bingbing Ni, Shuicheng Yan:
A unified supervised codebook learning framework for classification. Neurocomputing 77(1): 281-288 (2012) - [j7]Jiashi Feng, Bingbing Ni, Dong Xu, Shuicheng Yan:
Histogram Contextualization. IEEE Trans. Image Process. 21(2): 778-788 (2012) - [j6]Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim:
Learning a Propagable Graph for Semisupervised Learning: Classification and Regression. IEEE Trans. Knowl. Data Eng. 24(1): 114-126 (2012) - [c20]Bingbing Ni, Mengdi Xu, Jinhui Tang, Shuicheng Yan, Pierre Moulin:
Omni-range spatial contexts for visual classification. CVPR 2012: 3514-3521 - [c19]Bingbing Ni, Pierre Moulin, Shuicheng Yan:
Order-Preserving Sparse Coding for Sequence Classification. ECCV (2) 2012: 173-187 - [c18]Bingbing Ni, Nguyen Chi Dat, Pierre Moulin:
RGBD-camera based get-up event detection for hospital fall prevention. ICASSP 2012: 1405-1408 - [c17]Rachit Dubey, Bingbing Ni, Pierre Moulin:
A Depth Camera Based Fall Recognition System for the Elderly. ICIAR (2) 2012: 106-113 - [c16]Tam V. Nguyen, Si Liu, Bingbing Ni, Jun Tan, Yong Rui, Shuicheng Yan:
Sense beauty via face, dressing, and/or voice. ACM Multimedia 2012: 239-248 - [c15]Mengdi Xu, Bingbing Ni, Jian Dong, ZhongYang Huang, Meng Wang, Shuicheng Yan:
Touch saliency. ACM Multimedia 2012: 1041-1044 - 2011
- [j5]Qi Tian, Shiliang Zhang, Wengang Zhou, Rongrong Ji, Bingbing Ni, Nicu Sebe:
Building descriptive and discriminative visual codebook for large-scale image applications. Multim. Tools Appl. 51(2): 441-477 (2011) - [j4]Bing-Kun Bao, Bingbing Ni, Yadong Mu, Shuicheng Yan:
Efficient region-aware large graph construction towards scalable multi-label propagation. Pattern Recognit. 44(3): 598-606 (2011) - [j3]Yue Zhou, Bingbing Ni, Shuicheng Yan, Thomas S. Huang:
Recognizing pair-activities by causality analysis. ACM Trans. Intell. Syst. Technol. 2(1): 5:1-5:20 (2011) - [j2]Bingbing Ni, Zheng Song, Shuicheng Yan:
Web Image and Video Mining Towards Universal and Robust Age Estimator. IEEE Trans. Multim. 13(6): 1217-1229 (2011) - [c14]Jiashi Feng, Bingbing Ni, Qi Tian, Shuicheng Yan:
Geometric ℓp-norm feature pooling for image classification. CVPR 2011: 2697-2704 - [c13]Zheng Song, Bingbing Ni, Dong Guo, Terence Sim, Shuicheng Yan:
Learning universal multi-view age estimator using video context. ICCV 2011: 241-248 - [c12]Bingbing Ni, Gang Wang, Pierre Moulin:
RGBD-HuDaAct: A color-depth video database for human daily activity recognition. ICCV Workshops 2011: 1147-1153 - [c11]Bingbing Ni, Yang Song, Ming Zhao:
YouTubeEvent: On large-scale video event classification. ICCV Workshops 2011: 1516-1523 - 2010
- [c10]Jiashi Feng, Bingbing Ni, Shuicheng Yan:
Auto-generation of professional background music for home-made videos. ICIMCS 2010: 15-18 - [c9]Bin Cheng, Bingbing Ni, Shuicheng Yan, Qi Tian:
Learning to photograph. ACM Multimedia 2010: 291-300
2000 – 2009
- 2009
- [c8]Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim:
Recognizing human group activities with localized causalities. CVPR 2009: 1470-1477 - [c7]Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim:
Contextualizing histogram. CVPR 2009: 1682-1689 - [c6]Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim:
Directed Markov Stationary Features for visual classification. ICASSP 2009: 825-828 - [c5]Bingbing Ni, Zheng Song, Shuicheng Yan:
Web image mining towards universal age estimator. ACM Multimedia 2009: 85-94 - 2008
- [j1]Bingbing Ni, Ashraf A. Kassim, Stefan Winkler:
A Hybrid Framework for 3-D Human Motion Tracking. IEEE Trans. Circuits Syst. Video Technol. 18(8): 1075-1084 (2008) - [c4]Bingbing Ni, Stefan Winkler, Ashraf A. Kassim:
An efficient stochastic framework for 3D human motion tracking. Three-Dimensional Image Capture and Applications 2008: 68050R - [c3]Bingbing Ni, Shuicheng Yan, Ashraf A. Kassim, Loong Fah Cheong:
Learning by Propagability. ICDM 2008: 492-501 - 2007
- [c2]Steven Zhiying Zhou, Jefry Tedjokusumo, Stefan Winkler, Bingbing Ni:
User Studies of a Multiplayer First Person Shooting Game with Tangible and Physical Interaction. HCI (14) 2007: 738-747 - [c1]Bingbing Ni, Stefan Winkler, Ashraf A. Kassim:
Articulated Object Registration Using Simulated Physical Force/Moment for 3D Human Motion Tracking. Workshop on Human Motion 2007: 212-224
Coauthor Index
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