About me

Greetings! My name is Lan Wang and I’m a computer vision PhD student at Michigan State University (MSU). My research is on CV/ML, with particular interests in Video-language understanding, Causality, and Fairness. I am fortunately advised by Dr. Vishnu Boddeti and am a member of the Human Analysis Lab. Previously, I received my bachelor’s and master’s degrees at Chongqing University of Posts and Telecommunications and advised by Dr. Chenqiang Gao.

News

  • [2024/01/16] One paper is accepted by ICLR 2024.
  • [2023/02/27] One paper is accepted by CVPR 2023.


Research

 

FairerCLIP: Debiasing Zero-Shot Predictions of CLIP in RKHSs
Sepehr Dehdashtian*, Lan Wang*, Vishnu Boddeti
International Conference on Learning Representations (ICLR'24), 2024.


 

ProTéGé: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
Lan Wang*, Gaurav Mittal*, Sandra Sajeev, Ye Yu, Matthew Hall,Vishnu Bod- deti, Mei Chen
Computer Vision and Pattern Recognition (CVPR'23), 2023.
[PDF]


 

Do learned representations respect causal relationships?
Lan Wang and Vishnu Naresh Boddeti
Computer Vision and Pattern Recognition (CVPR'22), 2022.
[PDF] [Code] [Supplement] [Slides]


 

Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi, Lan Wang , Vishnu Naresh Boddeti
ECML-PKDD, 2021.
[PDF] [Code]


 

Spatio-temporal fall event detection in complex scenes using attention guided LSTM
Qi Feng, Chenqiang Gao,Lan Wang, Yue Zhao, Tiecheng Song, Qiang Li
Pattern Recognition Letters, 2020
[PDF]


 

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
Lan Wang, Chenqiang Gao, Luyu Yang, Yue Zhao, Wangmeng Zuo, Deyu Meng
European Conference on Computer Vision (ECCV'18), 2018.
[PDF]


 

Infrared and Visible Image Registration Using Transformer Adversarial Network
Lan Wang, Chenqiang Gao, Yue Zhao, Tiecheng Song, Qi Feng
IEEE International Conference on Image Processing (ICIP'18), 2018.
[PDF]


 

A novel learning-based frame pooling method for Event Detection
Lan Wang, Chenqiang Gao, Jiang Liu, Deyu Meng
Signal Processing, 2017.
[PDF]