Associate Professor
Artificial Intelligence Institute, Shanghai Jiao Tong University
800 Dongchuan Road, 5-507 Software Building, Shanghai 200240 China

Research Interests

My research interests lie in the fields of computer vision, machine learning, deep learning, and medical image analysis, particularly in shape based object representation and detection, deep learning algorithms under various learning paradigms and their application to medical image analysis.

Recent News

• I will serve as an Area Chair for NeurIPS 2023.
• Four papers have been accepted to CVPR 2023.
• One paper has been accepted to IEEE TPAMI.

  • A Survey on Label-efficient Deep Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

• I will serve as an Area Chair for CVPR 2023.
• One paper has been accepted to NeurIPS 2022.

  • Video-based Human-Object Interaction Detection from Tubelet Tokens

• Three papers have been accepted to ECCV 2022.

  • CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation
  • Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows
  • BézierPalm: A Free Lunch for Palmprint Recognition

• Two papers have been accepted to ACM MM 2022.

  • Skeleton2Humanoid: Animating Simulated Characters for Physically-plausible Motion In-betweening
  • Saliency in Augmented Reality

• I will serve as an Area Chair for ACCV 2022.
• Two papers have been accepted to CVPR 2022.

  • ContrastMask: Contrastive Learning to Segment Every Thing
  • End-to-End Human-Gaze-Target Detection with Transformers

• One paper has been accepted to ICLR 2022.

  • iBOT: Image BERT Pre-Training with Online Tokenizer

• One paper has been accepted to NeurIPS 2021.

  • Glance-and-Gaze Vision Transformer

• I will serve as a Senior Program Committee (SPC) Member for AAAI 2022.
• I will serve as an Area Chair for CVPR 2022.
• One paper has been accepted to ICCV 2021.

  • Looking Here or There? Gaze Following in 360-Degree Images

• Two papers have been accepted to CVPR 2021, where one is oral.

  • Deeply Shape-guided Cascade for Instance Segmentation
  • Dual Attention Guided Gaze Target Detection in the Wild

• One paper has been accepted to TMI.

  • Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction

• Two papers have been accepted to ICLR 2021.

  • CO2: Consistent Contrast for Unsupervised Visual Representation Learning
  • Shape-Texture Debiased Neural Network Training

Short Bio

Wei Shen is a tenure-track Associate Professor at the Artificial Intelligence Institute, Shanghai Jiao Tong University, since October 2020. Before that, he was an Assistant Research Professor at the Department of Computer Science, Johns Hopkins University, worked with Bloomberg Distinguished Professor Alan Yuille. He received his B.S. and Ph.D. degrees from Huazhong University of Science and Technology in 2007 and in 2012, respectively. In 2012, he joined Shanghai University, served as an Assistant Professor and then an Associate Professor until Oct 2018. He also worked as a research intern with Prof. Zhuowen Tu at Microsoft Research Asia. He has over 50 peer-reviewed publications in computer vision and machine learning related areas, including IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, NIPS, ICML, ICCV, CVPR, ECCV and MICCAI. He is an Area Chair for NeurIPS 2023, CVPR 2022/2023 and ACCV 2022.