Professor
Artificial Intelligence Institute, Shanghai Jiao Tong University
800 Dongchuan Road, 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 image segmentation, 3D vision and their application to medical image analysis.

Short Bio

Wei Shen is a professor at the Artificial Intelligence Institute, Shanghai Jiao Tong University. 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 a Lecturer 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 80 peer-reviewed publications in computer vision and machine learning related areas, including IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, NeurIPS, ICML, ICCV, CVPR, ECCV and MICCAI. He is an Area Chair for ICML 2025, ICCV 2025, NeurIPS 2023/2024, CVPR 2022/2023, ACCV 2022 and WACV 2024. He is an Associate Editor for Pattern Recognition. He receives the MICCAI Young Scientist Award and the NSFC Excellent Young Scientists Fund in 2023.

Recent News

• I will serve as an Area Chair for ICML 2025.
• Two papers have been accepted to AAAI 2025.

  • Segment Any 3D Gaussians

• I will serve as an Area Chair for ICCV 2025.
• One paper has been accepted to ACM Trans. Graphics (Siggraph Asia 2024).

  • GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting

• One paper has been accepted to BIBM 2024.

  • DeCo-Net: Robust Multimodal Brain Tumor Segmentation via Decoupled Complementary Knowledge Distillation

• Four papers have been accepted to ECCV 2024.

  • Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
  • Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
  • PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
  • UniProcessor: A Text-induced Unified Low-level Image Processor

• Two papers have been accepted to MICCAI 2024.

  • EndoGSLAM: Real-Time Dense Reconstruction and Tracking in Endoscopic Surgeries using Gaussian Splatting
  • Missing as Masking: Arbitrary Cross-modal Feature Reconstruction for Incomplete Multimodal Brain Tumor Segmentation

• I serve as an Associate Editor for Pattern Recognition from 2024.
• I will serve as an Area Chair for NeurIPS 2024.
• One paper has been accepted to IEEE TMI.

  • Efficient Deformable Tissue Reconstruction via Orthogonal Neural Plane

• One paper has been accepted to CVPR 2024.

  • Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model

• Three papers have been accepted to AAAI 2024.

  • SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
  • ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization
  • Partial Label Learning with a Partner

• Our MICCAI 2023 paper receives Young Scientist Award.

  • Neural LerPlane Representations for Fast 4D Reconstruction of Deformable Tissues

• One paper has been accepted to NeurIPS 2023.

  • Segment Anything in 3D with NeRFs

• I will serve as an Area Chair for WACV 2024.
• Three papers have been accepted to ICCV 2023.
• 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