Lin Zhang   张林

I am a second-year CS PhD in University of Wisconsin - Madison, supervised by Prof. Pedro Morgado .

Previously, I graduated from MSCV program in Carnegie Mellon University, supervised by Prof. Fernando de la Torre and Prof. Shayok Chakraborty. I received B.S. in CS and Math from Hong Kong University of Science and Technology with First Class Honors, supervised by Prof. Chi-Keung Tang and Prof. Yu-Wing Tai.

My research interests are computer vision and deep learning. Currently, I am interested in visual content generation conditioned on multiple modalities such as text and audio.

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News
  • July 2024 One paper accepted to ECCV 2024 for Oral Presentation!
  • Aug. 2023 Joining University of Wisconsin - Madison as a CS PhD.
Publication
[NEW]Audio-Synchronized Visual Animation
Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado
In ECCV, 2024
Oral Presentation (Top 2.3%)
D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment
Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando de la Torre
In WACV, 2024
Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao, Longlong Jing, Lin Zhang, Jie Hu, Qi She, Zongwei Zhou, Alan Yuille, Yingwei Li
In CVPR, 2022
Inter-intra Variant Dual Representations for Self-supervised Video Recognition
Lin Zhang, Qi She, Zhengyang Shen, Changhu Wang
In BMVC, 2021
MT-ORL: Multi-Task Occlusion Relationship Learning
Panhe Feng, Qi She, Lei Zhu, JiaXin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming
In ICCV, 2021
One-Shot Object Detection without Fine-Tuning
Xiang Li*, Lin Zhang*, Yau Pun Chen, Yu-Wing Tai, Chi-Keung Tang
In arxiv, 2020
Education
University of Wisconsin - Madison
PhD in CS
Aug. 2023 - May. 2028 (expected)
Carnegie Mellon University
MSc in Computer Vision
Aug. 2021 - Dec. 2022
ETH Zurich
Undergraduate Exchange
Sep. 2018 - Jun. 2019
Hong Kong University of Science and Technology
BSc. in CS&Math
Sep. 2016 - Jun. 2020
Experience
AWS Rekognition
May. 2022 - Aug. 2022
ByteDance AI Lab
Feb. 2021 - Jun. 2021
MEGVII
Jan. 2020 - Apr. 2020