Liang-Chieh (Jay) Chen- Home Page

Liang-Chieh Chen
Research Scientist, Google LA

Email: lcchen at cs dot ucla dot edu

DeeperLab: Single-Shot Image Parser
Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
Technical report.
[preprint (arxiv: 1902.05093)]

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, Li Fei-Fei
Technical report.
[preprint (arxiv: 1901.02985)]

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, Jonathon Shlens
In Neural Information Processing Systems (NeurIPS), Montréal, Canada, December 2018.
[preprint (arxiv: 1809.04184)] [code] [poster]

PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
George Papandreou, Tyler Zhu, Liang-Chieh Chen, Spyros Gidaris, Jonathan Tompson, Kevin Murphy
In European Conference in Computer Vision (ECCV), Munich, Germany, September 2018.
[preprint (arxiv: 1803.08225)]

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam
In European Conference in Computer Vision (ECCV), Munich, Germany, September 2018.
[preprint (arxiv: 1802.02611)] [code]

MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, Liang-Chieh Chen
In Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018.
[preprint (arxiv: 1801.04381)] [code]

MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, Hartwig Adam
In Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018.
[preprint (arxiv: 1712.04837)]

The Devil is in the Decoder
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper Uijlings
In British Machine Vision Conference (BMVC), Imperial College London, September 2017.
[preprint (arxiv: 1707.05847)]

Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam
Technical report
[preprint (arxiv: 1706.05587)] [code]

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen*, George Papandreou*, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille (*equal contribution)
Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
[preprint (arxiv: 1606.00915)] [project] [code]

Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net
Fangting Xia, Peng Wang, Liang-Chieh Chen, Alan L. Yuille
In European Conference in Computer Vision (ECCV), Amsterdam, Netherlands, October 2016.
[preprint (arxiv: 1511.06881)]

Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen, Jonathan T. Barron, George Papandreou, Kevin Murphy, Alan L. Yuille
In Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 2016.
[preprint (arxiv: 1511.03328)] [project] [code]

Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen, Yi Yang, Jiang Wang, Wei Xu, Alan L. Yuille
In Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, June 2016.
[preprint (arxiv: 1511.03339)] [Test results on subset of MPII] [project] [code] [PASCAL-Person-Part dataset] [PASCAL-Person-Part original webiste]

ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
Kan Chen, Jiang Wang, Liang-Chieh Chen, Haoyuan Gao, Wei Xu, Ram Nevatia
Technical Report
[preprint (arxiv: 1511.05960)]

Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for Semantic Image Segmentation
George Papandreou*, Liang-Chieh Chen*, Kevin Murphy, Alan L. Yuille
(*equal contribution)
International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.
[preprint (arxiv: 1502.02734)] [spotlight] [project] [code]

Learning Deep Structured Models (oral)
Liang-Chieh Chen*, Alexander G. Schwing*, Alan L. Yuille, Raquel Urtasun
(*equal contribution)
International Conference on Machine Learning (ICML), Lille, France, July 2015.
[pdf] [talk]

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen*, George Papandreou*, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille
(*equal contribution)
International Conference on Learning Representations (ICLR), San Diego, California, USA, May 2015.
[preprint (arXiv:1412.7062)] [project] [code]

Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision
Liang-Chieh Chen, Sanja Fidler, Alan L. Yuille, Raquel Urtasun
In Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014.
[pdf] [Supplementary Doc] [project] [CAD models]

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes
George Papandreou, Liang-Chieh Chen, Alan L. Yuille
In Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014.
[pdf] [Supplementary Doc]

Learning a Dictionary of Shape Epitomes with Applications to Image Labeling
Liang-Chieh Chen, George Papandreou, Alan L. Yuille
In International Conference on Computer Vision (ICCV), Sydney, Australia, Dec. 2013.
[pdf] [Supplementary Doc]