About Me
I am currently a Research Fellow of the MMLab@NTU under the supervision of Professor Chen Change Loy. My research interests include computer vision and deep learning with a focus on representation learning.
I received my Ph.D. in Computer Science from the Queen Mary University of London under the supervision of Professor Shaogang Gong and Dr. Xiatian Zhu. Before that, I received my M.Eng. from the Huazhong University of Science and Technology and B.Eng. from the Northwestern Polytechnical University.
Recent Highlights:
Contextual Object Detection (ContextDET)
Correlationnal Image Modeling (CIM), Self-Supervised DETR Pre-Training (SiameseDETR)
Open Vocabulary DETR (OV-DETR), Masked Frequency Modeling (MFM), 3D Object Detection (DeepInteraction).
Publications
Recent
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Contextual Object Detection with Multimodal Large Language Models
Yuhang Zang, Wei Li, Jun Han, Kaiyang Zhou, Chen Change Loy
[arXiv 2023] [Paper] [Project Page] [Code] -
Correlationnal Image Modeling for Self-Supervised Visual Pre-Training
Wei Li, Jiahao Xie, Chen Change Loy
[CVPR 2023] [Paper] [Code] -
Siamese DETR
Zeren Chen*, Genshi Huang*, Wei Li, Kun Wang, Jing Shao, Lu Sheng, Chen Change Loy
[CVPR 2023] [Paper] [Code] -
Unified Vision and Language Prompt Learning
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
[arXiv 2022] [Paper] [Code] -
Masked Frequency Modeling for Self-Supervised Visual Pre-Training
Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
[ICLR 2023] [Paper] [Project Page] -
DeepInteraction: 3D Object Detection via Modality Interaction
Zeyu Yang, Jiaqi Chen, Zhenwei Miao, Wei Li, Xiatian Zhu, Li Zhang
[NeurIPS 2022 (Spotlight)] [Paper] [Code] -
Open-Vocabulary DETR with Conditional Matching
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
[ECCV 2022 (Oral)] [Paper] [Project Page] [Code]
Conference
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A Simple Feature Augmentation for Domain Generalization
Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales
[ICCV 2021] [Paper] -
Neural Graph Embedding for Neural Architecture Search
Wei Li, Shaogang Gong, Xiantian Zhu
[AAAI 2020] [Paper] -
Semi-Supervised Learning under Class Distribution Mismatch
Yanbei Chen, Xiantian Zhu, Wei Li, Shaogang Gong
[AAAI 2020] [Paper] -
Harmonious Attention Network for Person Re-identification
Wei Li, Xiantian Zhu, Shaogang Gong
[CVPR 2018] [Paper] -
Transferable Joint Attribute-identity Deep Learning for Unsupervised Person Re-identification
Jingya Wang, Xiantian Zhu, Shaogang Gong, Wei Li
[CVPR 2018] [Paper] -
Attribute Recognition by Joint Recurrent Learning of Context and Correlation
Jingya Wang, Xiantian Zhu, Shaogang Gong, Wei Li
[ICCV 2017] [Paper] -
Person Re-identification by Deep Joint Learning of Multi-loss Classification
Wei Li, Xiantian Zhu, Shaogang Gong
[IJCAI 2017] [Paper]
Journal
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Neural Operator Search
Wei Li, Shaogang Gong, Xiantian Zhu
[PR 2022] [Paper] -
Hierarchical Distillation Learning for Scalable Person Search
Wei Li, Shaogang Gong, Xiantian Zhu
[PR 2021] [Paper] -
Scalable Person Re-identification by Harmonious Attention
Wei Li, Xiantian Zhu, Shaogang Gong
[IJCV 2020] [Paper]
Contact
Email: wei.l at ntu.edu.sg
Address: Academic Block North, Nanyang Technological University, 61 Nanyang Dr, Singapore 637335