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2020 – today
- 2024
[j4]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen:
A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. 2024 (2024)- [c44]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR 2024: 12954-12966 - [c43]Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen:
COCONut: Modernizing COCO Segmentation. CVPR 2024: 21863-21873 - [c42]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV 2024: 228-238 - [c41]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. WACV 2024: 840-850 - [c40]Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen:
PolyMaX: General Dense Prediction with Mask Transformer. WACV 2024: 1039-1050 - [i53]Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie:
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR abs/2401.02931 (2024) - [i52]Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR abs/2404.02132 (2024) - [i51]Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen:
COCONut: Modernizing COCO Segmentation. CoRR abs/2404.08639 (2024) - [i50]Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. CoRR abs/2406.02541 (2024) - [i49]Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen:
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR abs/2406.07550 (2024) - [i48]Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen:
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. CoRR abs/2406.09416 (2024) - [i47]Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen:
MaskBit: Embedding-free Image Generation via Bit Tokens. CoRR abs/2409.16211 (2024) - 2023
- [c39]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR 2023 - [c38]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. IROS 2023: 7651-7658 - [c37]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS 2023 - [c36]Shuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen:
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. NeurIPS 2023 - [c35]Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS 2023 - [i46]Lucas Beyer, Bo Wan, Gagan Madan, Filip Pavetic, Andreas Steiner, Alexander Kolesnikov, André Susano Pinto, Emanuele Bugliarello, Xiao Wang, Qihang Yu, Liang-Chieh Chen, Xiaohua Zhai:
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR abs/2303.17376 (2023) - [i45]Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen:
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR abs/2304.04694 (2023) - [i44]Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross:
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR abs/2306.01736 (2023) - [i43]Shuyang Sun, Weijun Wang, Qihang Yu, Andrew G. Howard, Philip H. S. Torr, Liang-Chieh Chen:
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. CoRR abs/2306.17319 (2023) - [i42]Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen:
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR abs/2308.02487 (2023) - [i41]Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar:
Superpixel Transformers for Efficient Semantic Segmentation. CoRR abs/2309.16889 (2023) - [i40]Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen:
PolyMaX: General Dense Prediction with Mask Transformer. CoRR abs/2311.05770 (2023) - [i39]Qihang Yu, Xiaohui Shen, Liang-Chieh Chen:
Towards Open-Ended Visual Recognition with Large Language Model. CoRR abs/2311.08400 (2023) - [i38]Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen:
MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR abs/2311.18537 (2023) - [i37]Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li:
MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. CoRR abs/2312.06052 (2023) - 2022
- [j3]Ting Liu
, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. Int. J. Comput. Vis. 130(1): 111-135 (2022) - [c34]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR 2022: 2550-2560 - [c33]Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen:
TubeFormer-DeepLab: Video Mask Transformer. CVPR 2022: 13904-13914 - [c32]Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (29) 2022: 53-72 - [c31]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. ECCV (29) 2022: 288-307 - [i36]Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen:
TubeFormer-DeepLab: Video Mask Transformer. CoRR abs/2205.15361 (2022) - [i35]Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov:
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR abs/2206.07704 (2022) - [i34]Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR abs/2206.08948 (2022) - [i33]Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
k-means Mask Transformer. CoRR abs/2207.04044 (2022) - [i32]Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen:
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. CoRR abs/2210.01820 (2022) - 2021
- [c30]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. CVPR 2021: 3997-4008 - [c29]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR 2021: 5463-5474 - [c28]Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille:
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. CVPR 2021: 10213-10224 - [c27]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 2021 - [i31]Mark Weber, Jun Xie, Maxwell D. Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixé, Liang-Chieh Chen:
STEP: Segmenting and Tracking Every Pixel. CoRR abs/2102.11859 (2021) - [i30]Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen:
DeepLab2: A TensorFlow Library for Deep Labeling. CoRR abs/2106.09748 (2021) - 2020
- [c26]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR 2020: 12472-12482 - [c25]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. ECCV (5) 2020: 53-70 - [c24]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) 2020: 108-126 - [c23]Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens:
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) 2020: 695-714 - [i29]Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR abs/2003.07853 (2020) - [i28]Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens:
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR abs/2005.10266 (2020) - [i27]Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille:
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. CoRR abs/2006.02334 (2020) - [i26]Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam:
View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. CoRR abs/2010.13321 (2020) - [i25]Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao:
Scaling Wide Residual Networks for Panoptic Segmentation. CoRR abs/2011.11675 (2020) - [i24]Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. CoRR abs/2012.00759 (2020) - [i23]Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen:
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. CoRR abs/2012.05258 (2020)
2010 – 2019
- 2019
- [j2]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. 127(11-12): 1694-1706 (2019) - [c22]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR 2019: 82-92 - [c21]Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen:
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. CVPR 2019: 9481-9490 - [c20]Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, Yukun Zhu:
Searching for MobileNetV3. ICCV 2019: 1314-1324 - [c19]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c18]Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. ICCV 2019: 7333-7343 - [i22]Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei:
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR abs/1901.02985 (2019) - [i21]Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen:
DeeperLab: Single-Shot Image Parser. CoRR abs/1902.05093 (2019) - [i20]Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen:
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation. CoRR abs/1902.09513 (2019) - [i19]Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, Hartwig Adam:
Searching for MobileNetV3. CoRR abs/1905.02244 (2019) - [i18]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - [i17]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab. CoRR abs/1910.04751 (2019) - [i16]Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen:
SegSort: Segmentation by Discriminative Sorting of Segments. CoRR abs/1910.06962 (2019) - [i15]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR abs/1911.10194 (2019) - [i14]Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu:
View-Invariant Probabilistic Embedding for Human Pose. CoRR abs/1912.01001 (2019) - 2018
- [j1]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 834-848 (2018) - [c17]Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam:
MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. CVPR 2018: 4013-4022 - [c16]Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
MobileNetV2: Inverted Residuals and Linear Bottlenecks. CVPR 2018: 4510-4520 - [c15]George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy:
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) 2018: 282-299 - [c14]Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) 2018: 833-851 - [c13]Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens:
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS 2018: 8713-8724 - [i13]Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen:
Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation. CoRR abs/1801.04381 (2018) - [i12]Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam:
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. CoRR abs/1802.02611 (2018) - [i11]George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy:
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR abs/1803.08225 (2018) - [i10]Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens:
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR abs/1809.04184 (2018) - 2017
- [c12]Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari:
The Devil is in the Decoder. BMVC 2017 - [i9]Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam:
Rethinking Atrous Convolution for Semantic Image Segmentation. CoRR abs/1706.05587 (2017) - [i8]Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings:
The Devil is in the Decoder. CoRR abs/1707.05847 (2017) - [i7]Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam:
MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. CoRR abs/1712.04837 (2017) - 2016
- [c11]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR 2016: 3640-3649 - [c10]Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CVPR 2016: 4545-4554 - [c9]Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille:
Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. ECCV (5) 2016: 648-663 - [i6]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR abs/1606.00915 (2016) - 2015
- [b1]Liang-Chieh Chen:
Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs. University of California, Los Angeles, USA, 2015 - [c8]George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille:
Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. ICCV 2015: 1742-1750 - [c7]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICML 2015: 1785-1794 - [c6]Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) 2015 - [c5]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICLR (Workshop) 2015 - [i5]George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille:
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR abs/1502.02734 (2015) - [i4]Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille:
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CoRR abs/1511.03328 (2015) - [i3]Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille:
Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR abs/1511.03339 (2015) - [i2]Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia:
ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering. CoRR abs/1511.05960 (2015) - [i1]Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille:
Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. CoRR abs/1511.06881 (2015) - 2014
- [c4]George Papandreou, Liang-Chieh Chen, Alan L. Yuille:
Modeling Image Patches with a Generic Dictionary of Mini-epitomes. CVPR 2014: 2059-2066 - [c3]Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun:
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR 2014: 3198-3205 - 2013
- [c2]Liang-Chieh Chen, George Papandreou, Alan L. Yuille:
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. ICCV 2013: 337-344 - 2012
- [c1]Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai:
Prediction-based outlier detection with explanations. GrC 2012: 44-49
Coauthor Index
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last updated on 2024-10-17 21:32 CEST by the dblp team
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