Career Profile
I am a CV researcher based in Hong Kong SAR, China, pursuing the Ph.D. from
Video, Image, and Sound Analysis Lab (VISAL),
Department of Computer Science,
City University of Hong Kong,
advised by Antoni B. Chan.
My Ph.D. research topics encompass crowd analysis, class-agnostic counting, and optimal transport.
My research interests lie in the fields of computer vision, deep learning, and machine learning.
I am also interested in AI for Science and am looking forward to potential cooperation.
I received Ma.Sc in Northwestern Polytechnical University in 2021,
studying in the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN),
advised by Qi Wang and Xuelong Li,
collaborating with Junyu Gao.
Publications
W. Lin, and A.B. Chan,
"A Fixed-Point Approach to Unified Prompt-Based Counting,"
Proc. AAAI, 2024.
[Paper]
[Code]
W. Lin, and A.B. Chan,
"A Fixed-Point Approach to Unified Prompt-Based Counting,"
Proc. AAAI, 2024.
[Paper]
[Code]
W. Lin, and A.B. Chan,
"Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting,"
Proc. CVPR 2023. (highlight)
[Code]
W. Lin, K. Yang, X. Ma, J. Gao, L. Liu, S. Liu, J. Hou, S. Yi, and A.B. Chan,
"Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting,"
Proc. BMVC 2022.
[Project Page]
[Code]
Q. Zhang, W. Lin, and A.B. Chan,
"Cross-View Cross-Scene Multi-View Crowd Counting,"
Proc. CVPR, 2021.
[Project Page]
[Paper]
W. Lin, J. Gao, Q. Wang, and X. Li,
"Learning to Detect Anomaly Events in Crowd Scenes from Synthetic Data,"
Neurocomputing, 2021.
[Dataset Link (code: n445)]
Q. Wang, J. Gao, W. Lin, and X. Li,
"Pixel-wise Crowd Understanding via Synthetic Data,"
IJCV, 2021.
Q. Wang, W. Lin, J. Gao, and X. Li,
"Density-Aware Curriculum Learning for Crowd Counting,"
T-CYB, 2020.
[Paper]
[Benchmark]
Q. Wang, J. Gao, W. Lin, and X. Li,
"NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting,"
T-PAMI, 2020.
[Paper]
[Benchmark]
W. Lin, J. Gao, Q. Wang, and X. Li,
"Pixel-Level Self-Paced Learning for Super-Resolution,"
Proc. ICASSP, 2020.
[Paper]
[Code]
J. Gao, W. Lin, B. Zhao, D. Wang, C. Gao, and J. Wen,
"C^3 Framework: An Open-source PyTorch Code for Crowd Counting,"
arXiv, 2019.
[Paper]
[Code]
Others
The ACM-ICPC Asia Regional Contest Qingdao Site 2016, Silver Medal
The ACM-ICPC Asia Regional Contest Beijing Site 2017, Bronze Medal
CVPR (22-23), ICLR (23)
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Cybernetics
IEEE Transactions on Geoscience and Remote Sensing
Neurocomputing
