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About me

I am a second-year Ph.D. student in Computer Science at the University of Toronto, advised by Animesh Garg. I also collaborate with Alec Jacobson. I am a student researcher at the Vector Institute and a member of the UofT Robotics Institute and the UofT Data Sciences Institute.

I also work as a research intern at NVIDIA Research on the Robotics team, working with Dieter Fox, Adithya Murali, and Balakumar Sundaralingam.

My research interests are in the areas of computer vision and robotics. I am particularly interested in representation learning, geometric deep learning, and 3D vision.

I received my Bachelor of Science degree in Electrical Engineering from National Taiwan University in 2018. Previously, I was fortunate to work with Ming-Hsuan Yang at UC Merced, Jia-Bin Huang at Virginia Tech, and Yen-Yu Lin at Academia Sinica.


Selected Publications

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
RSS Workshop on Visual Learning and Reasoning for Robotics, 2021
ICML Workshop on Human in the Loop Learning, 2021
[Paper] [Project page] [Video]
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2021
[Paper] [Project page] [Code] [Slides]
Self-Attentive 3D Human Pose and Shape Estimation from Videos
Computer Vision and Image Understanding (CVIU), 2021
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
European Conference on Computer Vision (ECCV), 2020
[Paper] [Project page] [GitHub] [Colab] [Highlight video] [Highlight slides] [Full video] [Full slides]
Learning to Learn in a Semi-Supervised Fashion
Yun-Chun Chen, Chao-Te Chou, and Yu-Chiang Frank Wang
European Conference on Computer Vision (ECCV), 2020
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
Yun-Chun Chen*, Yu-Jhe Li*, Yen-Yu Lin, and Yu-Chiang Frank Wang
arXiv preprint arXiv:2002.09274
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Yun-Chun Chen*, Yu-Jhe Li*, Yen-Yu Lin, Xiaofei Du, and Yu-Chiang Frank Wang
IEEE International Conference on Computer Vision (ICCV), 2019
[Paper] [Slides] [Poster]
CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
[Paper] [Project Page] [Code] [Slides] [Poster]
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen*, Yu-Jhe Li*, Xiaofei Du, and Yu-Chiang Frank Wang
AAAI Conference on Artificial Intelligence (AAAI), 2019
Oral Presentation
[Paper] [Slides] [Poster]
Deep Semantic Matching with Foreground Detection and Cycle-Consistency
Yun-Chun Chen, Po-Hsiang Huang, Li-Yu Yu, Jia-Bin Huang, Ming-Hsuan Yang, and Yen-Yu Lin
Asian Conference on Computer Vision (ACCV), 2018
[Paper] [Project Page] [Code] [Poster]