Liang-Chieh Chen

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 85

Top Venues

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

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)
Jieneng Chen, Qihang Yu, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen
ViTamin: Designing Scalable Vision Models in the Vision-Language Era. CoRR (2024)
Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models. CoRR (2024)
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 (2024)
Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie
SPFormer: Enhancing Vision Transformer with Superpixel Representation. CoRR (2024)
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)
Qihang Yu, Mark Weber, Xueqing Deng, Xiaohui Shen, Daniel Cremers, Liang-Chieh Chen
An Image is Worth 32 Tokens for Reconstruction and Generation. CoRR (2024)
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)
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)
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, Liang-Chieh Chen
COCONut: Modernizing COCO Segmentation. CoRR (2024)
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
Superpixel Transformers for Efficient Semantic Segmentation. CoRR (2023)
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 (2023)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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)
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 (2023)
Alex Zihao Zhu, Jieru Mei, Siyuan Qiao, Hang Yan, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar
Superpixel Transformers for Efficient Semantic Segmentation. IROS (2023)
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 (2023)
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)
Qihang Yu, Xiaohui Shen, Liang-Chieh Chen
Towards Open-Ended Visual Recognition with Large Language Model. CoRR (2023)
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 (2023)
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, Liang-Chieh Chen
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP. NeurIPS (2023)
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 (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Liang-Chieh Chen, Henrik Kretzschmar
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. ECCV (24) (2022)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. CoRR (2022)
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)
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) (2022)
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 (2022)
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 (2022)
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 (2022)
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)
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
k-means Mask Transformer. ECCV (24) (2022)
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)
Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille
DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. CVPR (2021)
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 (2021)
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 (2021)
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. CVPR (2021)
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)
Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution. CoRR (2020)
Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao
Scaling Wide Residual Networks for Panoptic Segmentation. CoRR (2020)
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation. CoRR (2020)
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation. CoRR (2020)
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)
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 (2020)
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers. CoRR (2020)
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)
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)
Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
View-Invariant Probabilistic Embedding for Human Pose. ECCV (5) (2020)
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 (2020)
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 (2019)
Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
View-Invariant Probabilistic Embedding for Human Pose. CoRR (2019)
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)
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)
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)
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 (2019)
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)
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 (2019)
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 (2019)
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 (2019)
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
Panoptic-DeepLab. CoRR (2019)
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)
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) (2019)
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 (2019)
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 (2019)
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)
Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
MobileNetV2: Inverted Residuals and Linear Bottlenecks. CVPR (2018)
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) (2018)
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 (2018)
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. ECCV (7) (2018)
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 (2018)
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)
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation. CoRR (2018)
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)
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 (2018)
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 (2017)
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam
Rethinking Atrous Convolution for Semantic Image Segmentation. CoRR (2017)
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper R. R. Uijlings
The Devil is in the Decoder. CoRR (2017)
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)
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
Attention to Scale: Scale-Aware Semantic Image Segmentation. CVPR (2016)
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)
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 (2016)
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)
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 (2015)
George Papandreou, Liang-Chieh Chen, Kevin Murphy, Alan L. Yuille
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation. CoRR (2015)
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 (2015)
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
Learning Deep Structured Models. ICLR (Workshop) (2015)
Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun
Learning Deep Structured Models. ICML (2015)
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)
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)
Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille
Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net. CoRR (2015)
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
Attention to Scale: Scale-aware Semantic Image Segmentation. CoRR (2015)
Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR (2014)
George Papandreou, Liang-Chieh Chen, Alan L. Yuille
Modeling Image Patches with a Generic Dictionary of Mini-epitomes. CVPR (2014)
Liang-Chieh Chen, George Papandreou, Alan L. Yuille
Learning a Dictionary of Shape Epitomes with Applications to Image Labeling. ICCV (2013)
Liang-Chieh Chen, Tsung-Ting Kuo, Wei-Chi Lai, Shou-De Lin, Chi-Hung Tsai
Prediction-based outlier detection with explanations. GrC (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang-Chieh Chen