Chunyu Wang

Microsoft Research Asia

Email: chunyu.wangdlut[at]gmail[dot]com
[Bio] [Publication] [Google Scholar] [GitHub]

Biography

I am a researcher in Microsoft Research Asia. I work on computer vision problems with special focus on single and multiple camera 3D human pose estimation and tracking, 3D clothed human reconstruction and action analysis.

Recent News

• [03/2023] Two papers accepted by CVPR 2023.

• [03/2023] Invited as an Area Chair for Neurips 2023.

• [09/2022] Invited as an Area Chair for CVPR 2023.

• [09/2022] One paper accepted by Neurips 2022.

• [07/2022] Four papers accepted by ECCV 2022.

• [03/2022] VoxelTrack (multi-camera 3D pose tracking) accepted by T-PAMI 2022.

• [03/2022] One paper accepted by CVPR 2022.

• [01/2022] Invited as an Area Chair for ICPR 2022.

• [11/2021] One paper on attention for video understanding accepted by NeurIPS 2021.

• [10/2021] One paper on semi-superivsed 2D pose estimation accepted by ICCV 2021.

• [08/2021] FairMOT accepted by IJCV 2021.

Publications

• MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark,
  Xiaotian Han, Quanzeng You, Chunyu Wang, Zhizheng Zhang, Peng Chu, Houdong Hu, Jiang Wang, Zicheng Liu.
  WACV, 2023. [PDF]

• You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection,
  Jiangxin Sun^, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, Jianfang Hu.
  Neurips, 2022. [PDF] [CODE]

• Virtual Pose: Learning Generalizable 3D Human Pose Models from Virtual Data,
  Jiajun Su^, Chunyu Wang, Xiaoxuan Ma^, Wenjun Zeng, Yizhou Wang.
  ECCV, 2022. [PDF] [CODE]

• Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection,
  Hang Ye^, Wentao Zhu^, Chunyu Wang, Rujie Wu, Yizhou Wang.
  ECCV, 2022. [PDF] [CODE]

• Robust Multi-Object Tracking by Marginal Inference,
  Yifu Zhang^, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu.
  ECCV, 2022. [PDF] [CODE]

• One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement,
  Zihao Yin^, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang.
  ECCV, 2022. [PDF] [CODE]

• VoxelTrack: Multi-Person 3D Human Pose Estimation and Tracking in the Wild,
  Yifu Zhang^, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng.
  T-PAMI, 2022. [PDF]

• Correlation-Aware Deep Tracking,
  Fei Xie^, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng.
  CVPR, 2022. [PDF]

• Relational Self-Attention: What’s Missing in Attention for Video Understanding,
  Manjin Kim^, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho.
  NeurIPS, 2021. [PDF] [Project Page]

• FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking,
  Yifu Zhang^, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu.
  IJCV, 2021. [PDF] [CODE]

• Learning Tracking Representations via Dual-Branch Fully Transformer Networks,
  Fei Xie^, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng.
  ICCVw, 2021. [PDF]

• An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation,
  Rongchang Xie^, Chunyu Wang, Wenjun Zeng, Yizhou Wang.
  ICCV, 2021. [PDF] [CODE]

• Context Modeling in 3D Human Pose Estimation: A Unified Perspective,
  Xiaoxuan Ma^, Jiajun Su^, Chunyu Wang, Hai Ci, Yizhou Wang.
  CVPR, 2021. [PDF] [CODE]

• Neighborhood Geometric Structure Preserving Variational Auto-Encoder for Smooth and Bounded Data Sources,
  Xingyu Chen^, Chunyu Wang, Xuguang Lan, Nanning Zheng, Wenjun Zeng.
  TNNLS, 2021. [PDF]

• VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment,
  Hanyue Tu^, Chunyu Wang, Wenjun Zeng.
  ECCV, 2020. [PDF] [CODE]

• AdaFuse: Adaptive Multiview Fusion for Accurate Human Pose Estimation in the Wild,
  Zhe Zhang^, Chunyu Wang, Weichao Qiu, Wenhu Qin, Wenjun Zeng.
  IJCV, 2020. [PDF] [CODE]

• Locally Connected Network for Monocular 3D Human Pose Estimation,
  Hai Ci^, Xiaoxuan Ma^, Chunyu Wang, Yizhou Wang.
  T-PAMI, 2020. [PDF] [CODE]
  

• Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach,
  Zhe Zhang^, Chunyu Wang, Wenhu Qin, Wenjun Zeng.
  CVPR, 2020. [PDF] [CODE]
  

• MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation,
  Rongchang Xie^, Chunyu Wang, Yizhou Wang.
  CVPR, 2020. paper. [PDF] [CODE]
  

• Semantic Image Segmentation by Scale-Adaptive Networks,
  Zilong Huang^, Chunyu Wang, Xinggang Wang, Wenyu Liu, Jingdong Wang.
  TIP, 2019. [PDF] [CODE]
  

• Optimizing Network Structure for 3D Human Pose Estimation,
  Hai Ci^, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang.
  ICCV, 2019. [PDF] [CODE]
  

• Cross View Fusion for 3D Human Pose Estimation,
  Haibo Qiu^, Chunyu Wang, Jingdong Wang, Naiyan Wang, Wenjun Zeng.
  ICCV, 2019. [PDF] [CODE]

• Object detection in videos by high quality object linking,
  Peng Tang^, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang.
  T-PAMI, 2019. [PDF]

• Learning Basis Representation to Refine 3D Human Pose Estimations,
  Chunyu Wang, Haibo Qiu, Alan L. Yuille, Wenjun Zeng.
  AAAI, 2019. [PDF]

• Robust 3d human pose estimation from single images or video sequences,
  Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille.
  T-PAMI, 2018. [PDF]
  

• Online Dictionary Learning for Approximate Archetypal Analysis,
  Jieru Mei^, Chunyu Wang, Wenjun Zeng.
  ECCV, 2018. [PDF]

• Video object segmentation by learning location-sensitive embeddings,
  Hai Ci^, Chunyu Wang, Yizhou Wang.
  ECCV, 2018. [PDF]

• Learning discriminative activated simplices for action recognition,
  Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang.
  AAAI, 2017. [PDF]

• Mining 3D Key-Pose-Motifs for Action Recognition,
  Chunyu Wang, Yizhou Wang, Alan L. Yuille.
  CVPR, 2016. [PDF]

• Recognizing actions in 3d using action-snippets and activated simplices,
  Chunyu Wang, John Flynn, Yizhou Wang, Alan L. Yuille.
  AAAI, 2016. [PDF]

• Robust Estimation of 3D Human Poses from a Single Image,
  Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan L. Yuille, Wen Gao.
  CVPR, 2014. [PDF]

• An approach to pose-based action recognition,
  Chunyu Wang, Yizhou Wang, Alan L. Yuille.
  CVPR, 2013. [PDF]

(^ students mentored by me at Microsoft.)