Liang-Chieh (Jay) Chen- Home Page
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Liang-Chieh Chen Email: lcchen at cs dot ucla dot edu |
About me
Since February 2016, I have been working at Google, Los Angeles.
I finished my Ph.D. in Computer Science at UCLA under the supervision of Alan L. Yuille in November 2015.
My research interests include Computer Vision, Graphical Models, and Machine Learning.
News
02/24/2021: Check out our STEP, Segmenting and Tracking Every Pixel, which tackles Video Panoptic Segmentation from the pixel-centric perspective, accompanied by two new datasets (KITTI-STEP and MOTChallenge-STEP) and a new metric (Segmentation and Tracking Quality, STQ).
12/10/2020: Check out our ViP-DeepLab (video demo), learning Visual Perception with Depth-aware Video Panoptic Segmentation. ViP-DeepLab achieves state-of-the-art results on Cityscapes-VPS, KITTI monocular depth estimation, and KITTI MOTS pedestrian.
12/02/2020: Check out our MaX-DeepLab, extending Axial-DeepLab with a Mask Xformer. MaX-DeepLab directly predicts class-labeled masks for panoptic segmentation and sets new state-of-the-art 51.3% PQ on COCO test-dev set.
11/24/2020: Check out our SWideRNets, which significantly advance state-of-the-art performance on panoptic segmentation datasets in both the fast model regime and strong model regime.
09/25/2020: Panoptic-DeepLab have been supported by Detectron2, thanks to Bowen Cheng. Note that this is NOT our official open-source. Please check the original paper for speed or accuracy comparison.
08/27/2020: Google AI blog about Axial-DeepLab.
08/08/2020: A PyTorch re-implementation of Axial-DeepLab by Huaijin Pi and Huiyu Wang is open-source! Note that this is NOT our original TensorFlow implementation. Also, check out the video about Axial-DeepLab.
07/26/2020: DeepLabv3 and DeepLabv3+ have been reproduced in Detectron2, thanks to Bowen Cheng.
07/21/2020: Google AI blog about Panoptic-DeepLab.
07/02/2020: Three papers accepted to ECCV 2020.
06/11/2020: A PyTorch re-implementation of Panoptic-DeepLab by Bowen Cheng is open-source! Note that this is NOT our original TensorFlow implementation. Please check the original paper for comparison.
06/03/2020: Check out our DetectoRS, which sets new state-of-the-art results at COCO: 54.7% box AP, 47.1% mask AP, and 49.6% PQ. A PyTorch implementation of DetectoRS by Siyuan Qiao is open-source!
05/21/2020: Check out our Naive-Student which adopts iterative semi-supervised leanring with Panoptic-DeepLab, setting new state-of-the-art results at Cityscapes all three tasks: 67.8% PQ, 42.6% AP, and 85.2% mIOU.
03/17/2020: Check out our Axial-DeepLab, a Stand-Alone Axial-Attention model for dense prediction tasks.
03/11/2020: Panoptic-DeepLab is accepted to CVPR 2020.
Activities
Area Chair for ICCV 2019, CVPR 2020, ECCV 2020.
Reviewer for CVPR, ECCV, ICCV, NeurIPS.
Papers
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STEP: Segmenting and Tracking Every Pixel |
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ViP-DeepLab: Learning Visual Perception with Depth-aware Video Panoptic Segmentation |
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MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers |
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Scaling Wide Residual Networks for Panoptic Segmentation |
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View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose |
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DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution |
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Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation |
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Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation (spotlight) |
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View-Invariant Probabilistic Embedding for Human Pose (spotlight) |
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Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation |
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Panoptic-DeepLab |
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SegSort: Segmentation by Discriminative Sorting of Segments |
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SPGNet: Semantic Prediction Guidance for Scene Parsing |
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Searching for MobileNetV3 (oral) |
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FEELVOS: Fast End-to-End Embedding Learning for Video Object
Segmentation |
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DeeperLab: Single-Shot Image Parser |
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Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation (oral) |
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The Devil is in the Decoder: Classification, Regression and GANs |
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Searching for Efficient Multi-Scale Architectures for Dense Image
Prediction |
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PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model |
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation |
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MobileNetV2: Inverted Residuals and Linear Bottlenecks |
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MaskLab: Instance Segmentation by Refining Object Detection with Semantic
and Direction Features |
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The Devil is in the Decoder |
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Rethinking Atrous Convolution for Semantic Image Segmentation |
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs |
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Zoom Better to See Clearer: Human Part Segmentation with Auto Zoom Net |
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Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform |
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Attention to Scale: Scale-aware Semantic Image Segmentation |
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ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering |
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Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for
Semantic Image Segmentation |
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Learning Deep Structured Models (oral) |
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Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs |
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Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision |
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Modeling Image Patches with a Generic Dictionary of Mini-Epitomes |
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Learning a Dictionary of Shape Epitomes with Applications to Image Labeling |
US Patents
Neural Architecture Search for Dense Image Prediction Tasks, 2018
Liang-Chieh Chen, Maxwell D. Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens.
Instance Segmentation, 2018
Liang-Chieh Chen, Alexander Hermans, George Papandreou, Florian Schroff, Peng Wang, and Hartwig Adam.
Highly Efficient Convolutional Neural Networks, 2018
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen.
Systems and Methods for Data Page Management of NAND Flash Memory Arrangements, November 2008
Liang-Chieh Chen and Xueshi Yang
Multi-Mode Encoding for Data Compression, February 2009
Liang-Chieh Chen and Xueshi Yang