معرفی
Wei Tang is an Assistant Professor at the Department of Computer Science, University of Illinois Chicago, focusing on computer vision and machine learning with emphasis on visual compositionality and data-efficient approaches.
- PhD from Northwestern University (2019)
Research Interests:
- Computer Vision
- Machine Learning
- Visual Compositionality
- Data-Efficient Vision
- 3D Reconstruction
- Human Pose Estimation
Recent Publication Trends:
- Pioneering part-whole structure modeling for 3D objects (CVPR'25, ECCV'24)
- Advancing visual dependency modeling in semantic segmentation (CVPR'21, PR'22)
- Innovating graph networks for pose estimation (ICCV'21, BMVC'20)
- Developing compositional networks integrating stochastic grammars (ECCV'18, ICCV'17)
Academic Service:
- Associate Editor for Pattern Recognition (2024-present)
- Area Chair for ICCV'25, BMVC'25, ICME'25, etc.
- NSF Panelist (2023-2024)
Teaching:
- CS 515 Advanced Computer Vision (Spring 2025)
- CS 415 Computer Vision I (Fall 2024)
- CS 412 Introduction to Machine Learning (Spring 2024)
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