Liang-Chieh Chen

123 papers A* 31A 5Misc 1Journal 73Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoregressive Image Generation with Masked Bit Modeling. CoRR Qihang Yu, Qihao Liu, Ju He, Xinyang Zhang, Yang Liu, Liang-Chieh Chen, Xi Chen
2026	J	`jnl`	ReVision: Refining Video Diffusion with Explicit 3D Motion Modeling. Trans. Mach. Learn. Res. Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan L. Yuille
2025	J	`jnl`	Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation. CoRR Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2025	J	`jnl`	COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation. CoRR Xueqing Deng, Qihang Yu, Ali Athar, Chenglin Yang, Linjie Yang, Xiaojie Jin, Xiaohui Shen, Liang-Chieh Chen
2025	J	`jnl`	Deeply Supervised Flow-Based Generative Models. CoRR Inkyu Shin, Chenglin Yang, Liang-Chieh Chen
2025	J	`jnl`	Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens. CoRR Dongwon Kim, Ju He, Qihang Yu, Chenglin Yang, Xiaohui Shen, Suha Kwak, Liang-Chieh Chen
2025	J	`jnl`	Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. Trans. Mach. Learn. Res. Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2025	A*	`conf`	FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. ICML Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2025	J	`jnl`	FlowTok: Flowing Seamlessly Across Text and Image Tokens. CoRR Ju He, Qihang Yu, Qihao Liu, Liang-Chieh Chen
2025	J	`jnl`	Grouping First, Attending Smartly: Training-Free Acceleration for Diffusion Transformers. CoRR Sucheng Ren, Qihang Yu, Ju He, Alan L. Yuille, Liang-Chieh Chen
2025	J	`jnl`	ReVision: High-Quality, Low-Cost Video Generation with Explicit 3D Physics Modeling for Complex Motion and Interaction. CoRR Qihao Liu, Ju He, Qihang Yu, Liang-Chieh Chen, Alan L. Yuille
2025	J	`jnl`	SPFormer: Enhancing Vision Transformer with Superpixel Representation. Trans. Mach. Learn. Res. Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie
2025	A*	`conf`	ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation. CVPR Ali Athar, Xueqing Deng, Liang-Chieh Chen
2024	J	`jnl`	1.58-bit FLUX. CoRR Chenglin Yang, Celong Liu, Xueqing Deng, Dongwon Kim, Xing Mei, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	A Simple Video Segmenter by Tracking Objects Along Axial Trajectories. Trans. Mach. Learn. Res. Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen
2024	A*	`conf`	Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization. NeurIPS Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. CoRR Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024	A*	`conf`	An Image is Worth 32 Tokens for Reconstruction and Generation. NeurIPS Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	J	`jnl`	An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	A*	`conf`	COCONut: Modernizing COCO Segmentation. CVPR Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	COCONut: Modernizing COCO Segmentation. CoRR Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting. CoRR Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2024	J	`jnl`	FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching. CoRR Sucheng Ren, Qihang Yu, Ju He, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024	J	`jnl`	MaskBit: Embedding-free Image Generation via Bit Tokens. CoRR Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	J	`jnl`	MaskBit: Embedding-free Image Generation via Bit Tokens. Trans. Mach. Learn. Res. Mark Weber, Lijun Yu, Qihang Yu, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
2024	A	`conf`	MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. WACV Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
2024	A	`conf`	PolyMaX: General Dense Prediction with Mask Transformer. WACV Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen
2024	J	`jnl`	Randomized Autoregressive Visual Generation. CoRR Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie
2024	—	`conf`	Towards Open-Ended Visual Recognition with Large Language Models. ECCV (14) Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2024	J	`jnl`	ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation. CoRR Ali Athar, Xueqing Deng, Liang-Chieh Chen
2024	A*	`conf`	ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CVPR Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024	J	`jnl`	ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2024	A	`conf`	Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. WACV Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2023	J	`jnl`	A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision. CoRR 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
2023	A*	`conf`	Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023	J	`jnl`	Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
2023	A*	`conf`	DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. NeurIPS Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
2023	J	`jnl`	DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model. CoRR Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David A. Ross
2023	A*	`conf`	MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. ICLR Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
2023	J	`jnl`	MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation. CoRR Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
2023	J	`jnl`	MaskConver: Revisiting Pure Convolution Model for Panoptic Segmentation. CoRR Abdullah Rashwan, Jiageng Zhang, Ali Taalimi, Fan Yang, Xingyi Zhou, Chaochao Yan, Liang-Chieh Chen, Yeqing Li
2023	J	`jnl`	PolyMaX: General Dense Prediction with Mask Transformer. CoRR Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen
2023	A*	`conf`	ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. NeurIPS Shuyang Sun, Weijun Wang, Andrew G. Howard, Qihang Yu, Philip H. S. Torr, Liang-Chieh Chen
2023	J	`jnl`	ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation. CoRR Shuyang Sun, Weijun Wang, Qihang Yu, Andrew G. Howard, Philip H. S. Torr, Liang-Chieh Chen
2023	A	`conf`	Superpixel Transformers for Efficient Semantic Segmentation. IROS Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
2023	J	`jnl`	Superpixel Transformers for Efficient Semantic Segmentation. CoRR Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
2023	J	`jnl`	Towards Open-Ended Visual Recognition with Large Language Model. CoRR Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
2023	J	`jnl`	Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation. CoRR Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
2022	A*	`conf`	CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CVPR Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022	J	`jnl`	CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. CoRR Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022	J	`jnl`	MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models. CoRR Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan L. Yuille, Hartwig Adam, Liang-Chieh Chen
2022	A*	`conf`	TubeFormer-DeepLab: Video Mask Transformer. CVPR Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen
2022	J	`jnl`	TubeFormer-DeepLab: Video Mask Transformer. CoRR Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In-So Kweon, Liang-Chieh Chen
2022	J	`jnl`	View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. Int. J. Comput. Vis. Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam
2022	—	`conf`	Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (29) Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar
2022	J	`jnl`	Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
2022	—	`conf`	k-means Mask Transformer. ECCV (29) Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2022	J	`jnl`	k-means Mask Transformer. CoRR Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2021	J	`jnl`	DeepLab2: A TensorFlow Library for Deep Labeling. CoRR 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
2021	A*	`conf`	DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. CVPR Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille
2021	A*	`conf`	MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2021	—	`conf`	STEP: Segmenting and Tracking Every Pixel. NeurIPS Datasets and Benchmarks 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
2021	J	`jnl`	STEP: Segmenting and Tracking Every Pixel. CoRR 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
2021	A*	`conf`	VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. CVPR Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2020	—	`conf`	Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. ECCV (4) Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2020	J	`jnl`	Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2020	J	`jnl`	DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. CoRR Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille
2020	J	`jnl`	Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	J	`jnl`	MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. CoRR Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2020	—	`conf`	Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
2020	A*	`conf`	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2020	J	`jnl`	Scaling Wide Residual Networks for Panoptic Segmentation. CoRR Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao
2020	J	`jnl`	ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. CoRR Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
2020	—	`conf`	View-Invariant Probabilistic Embedding for Human Pose. ECCV (5) Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
2020	J	`jnl`	View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose. CoRR Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam
2019	A*	`conf`	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei
2019	J	`jnl`	Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CoRR Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei
2019	J	`jnl`	DeeperLab: Single-Shot Image Parser. CoRR Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
2019	A*	`conf`	FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. CVPR Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
2019	J	`jnl`	FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation. CoRR Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
2019	J	`jnl`	Panoptic-DeepLab. CoRR Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2019	J	`jnl`	Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
2019	A*	`conf`	SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi
2019	J	`jnl`	SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi
2019	A*	`conf`	Searching for MobileNetV3. ICCV 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
2019	J	`jnl`	Searching for MobileNetV3. CoRR 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
2019	A*	`conf`	SegSort: Segmentation by Discriminative Sorting of Segments. ICCV Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019	J	`jnl`	SegSort: Segmentation by Discriminative Sorting of Segments. CoRR Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell D. Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
2019	J	`jnl`	The Devil is in the Decoder: Classification, Regression and GANs. Int. J. Comput. Vis. Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
2019	J	`jnl`	View-Invariant Probabilistic Embedding for Human Pose. CoRR Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
2018	J	`jnl`	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. IEEE Trans. Pattern Anal. Mach. Intell. Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2018	—	`conf`	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
2018	J	`jnl`	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. CoRR Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
2018	J	`jnl`	Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation. CoRR Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
2018	A*	`conf`	MaskLab: Instance Segmentation by Refining Object Detection With Semantic and Direction Features. CVPR Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam
2018	A*	`conf`	MobileNetV2: Inverted Residuals and Linear Bottlenecks. CVPR Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
2018	—	`conf`	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. ECCV (14) George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018	J	`jnl`	PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model. CoRR George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
2018	A*	`conf`	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. NeurIPS Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2018	J	`jnl`	Searching for Efficient Multi-Scale Architectures for Dense Image Prediction. CoRR Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
2017	J	`jnl`	MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features. CoRR Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam
2017	J	`jnl`	Rethinking Atrous Convolution for Semantic Image Segmentation. CoRR Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam
2017	A	`conf`	The Devil is in the Decoder. BMVC Zbigniew Wojna, Jasper R. R. Uijlings, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Vittorio Ferrari
2017	J	`jnl`	The Devil is in the Decoder. CoRR Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
2016	A*	`conf`	Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
2016	J	`jnl`	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs. CoRR Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2016	A*	`conf`	Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CVPR Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
2016	—	`conf`	Zoom Better to See Clearer: Human and Object Parsing with Hierarchical Auto-Zoom Net. ECCV (5) Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille
2015	J	`jnl`	ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering. CoRR Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia
2015	J	`jnl`	Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
2015	A*	`conf`	Learning Deep Structured Models. ICML Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015	—	`conf`	Learning Deep Structured Models. ICLR (Workshop) Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
2015	—	`—`	Learning Representation for Scene Understanding: Epitomes, CRFs, and CNNs. Liang-Chieh Chen
2015	—	`conf`	Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs. ICLR (Poster) Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
2015	J	`jnl`	Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform. CoRR Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
2015	J	`jnl`	Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille
2015	A*	`conf`	Weakly-and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation. ICCV George Papandreou, Liang-Chieh Chen, Kevin P. Murphy, Alan L. Yuille
2015	J	`jnl`	Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. CoRR Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille
2014	A*	`conf`	Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun
2014	A*	`conf`	Modeling Image Patches with a Generic Dictionary of Mini-epitomes. CVPR George Papandreou, Liang-Chieh Chen, Alan L. Yuille
2013	A*	`conf`	Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. ICCV Liang-Chieh Chen, George Papandreou, Alan L. Yuille
2012	Misc	`conf`	Prediction-based outlier detection with explanations. GrC Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai