Liang-Chieh (Jay) Chen- Home Page

Liang-Chieh Chen
Research Scientist, Google LA

Email: lcchen at cs dot ucla dot edu

DeepLab2: A TensorFlow Library for Deep Labeling
Mark Weber*, Huiyu Wang*, Siyuan Qiao*, Jun Xie, Maxwell Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu,
Daniel Cremers, Laura Leal-Taixe, Alan Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen
(*equal contribution)
Technical report
[preprint (arxiv: 2106.09748)] [DeepLab2 code] [Talk at ICCV 2021 VSPW workshop]

STEP: Segmenting and Tracking Every Pixel
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger,
Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen
In Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, Virtual, December 2021.
[preprint (arxiv: 2102.11859)] [DeepLab2 code] [STQ numpy code] [KITTI-STEP] [MOTChallenge-STEP]

ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation
Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
In Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 2021.
[preprint (arxiv: 2012.05258)] [video demo] [dataset and evaluation code] [DeepLab2 code]

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
In Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 2021.
[preprint (arxiv: 2012.00759)] [DeepLab2 code]

Scaling Wide Residual Networks for Panoptic Segmentation
Liang-Chieh Chen, Huiyu Wang, Siyuan Qiao
Technical report
[preprint (arxiv: 2011.11675)] [DeepLab2 code]

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose
Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam
Technical report
[preprint (arxiv: 2010.13321)]

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
Siyuan Qiao, Liang-Chieh Chen, Alan Yuille
In Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 2021.
[preprint (arxiv: 2006.02334)] [code]

Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens
In European Conference in Computer Vision (ECCV), Glasgow, United Kingdom (Virtual), August 2020.
[preprint (arxiv: 2005.10266)]

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (spotlight)
Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen
In European Conference in Computer Vision (ECCV), Glasgow, United Kingdom (Virtual), August 2020.
[preprint (arxiv: 2003.07853)] [unofficial PyTorch re-implementation] [video]
[DeepLab2 code (official implementation)]

View-Invariant Probabilistic Embedding for Human Pose (spotlight)
Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu
In European Conference in Computer Vision (ECCV), Glasgow, United Kingdom (Virtual), August 2020.
[preprint (arxiv: 1912.01001)]

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
In Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington (Virtual), June 2020.
[preprint (arxiv: 1911.10194)] [unofficial PyTorch re-implementation] [Detectron2/projects/Panoptic-DeepLab (unofficial re-implementation)]
[DeepLab2 code (official implementation)]

Panoptic-DeepLab
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
In ICCV 2019 Joint COCO and Mapillary Recognition Challenge Workshop.
Best result, best paper and most innovative awards on Mapillary Vistas Panoptic Segmentation track.
[preprint (arxiv: 1910.04751)]

SegSort: Segmentation by Discriminative Sorting of Segments
Jyh-Jing Hwang, Stella X. Yu, Jianbo Shi, Maxwell Collins, Tien-Ju Yang, Xiao Zhang, Liang-Chieh Chen
In International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
[preprint (arxiv: 1910.06962)] [website and code]

SPGNet: Semantic Prediction Guidance for Scene Parsing
Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas Huang, Wen-Mei Hwu, Honghui Shi
In International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
[preprint (arxiv: 1908.09798)]

Searching for MobileNetV3 (oral)
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
In International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
[preprint (arxiv: 1905.02244)] [code for (image classification), (object detection), and (semantic segmentation)]

FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
In Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, June 2019.
[preprint (arxiv: 1902.09513)] [code]

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)] [evaluation code]

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation (oral)
Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan Yuille, Li Fei-Fei
In Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, California, June 2019.
[preprint (arxiv: 1901.02985)] [code]

The Devil is in the Decoder: Classification, Regression and GANs
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama, Nathan Silberman, Liang-Chieh Chen, Alireza Fathi, Jasper Uijlings
International Journal of Computer Vision (IJCV)
[preprint (arxiv: 1707.05847)]

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]