Yun-Chun Chen






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About me

I am a short-term visiting scholar in the Vision and Learning Lab at University of California, Merced under the supervision of Prof. Ming-Hsuan Yang. Previously, I am fortunate to work with Prof. Jia-Bin Huang (Virginia Tech), Prof. Yen-Yu Lin (Academia Sinica), Prof. Yu-Chiang Frank Wang (NTUEE), and Prof. Winston H. Hsu (NTUCSIE).

My research interests lie in the intersection of computer vision and deep learning. I'm particularly interested in Unsupervised Domain Adaptation, Meta-Learning, and Representation Learning.

I received my Bachelor of Science degree from the Department of Electrical Engineering at National Taiwan University in 2018.

I will start my PhD in Computer Science at the University of Toronto in Fall 2020.


News

  • 04 / 2020:   I am serving as a conference reviewer for BMVC 2020.
  • 03 / 2020:   One paper on joint semantic matching and object co-segmentation accepted to PAMI 2020.
  • 03 / 2020:   I am serving as a conference reviewer for NeurIPS 2020.
  • 11 / 2019:   I am serving as a conference reviewer for ECCV 2020.
  • 09 / 2019:   I am serving as a conference reviewer for CVPR 2020.
  • 09 / 2019:   I am serving as a program committee for AAAI 2020.
  • 07 / 2019:   One paper on cross-resolution generative modeling accepted to ICCV 2019.
  • 03 / 2019:   I am serving as a conference reviewer for ICCV 2019, BMVC 2019, and ICIP 2019.
  • 02 / 2019:   One paper on unsupervised domain adaptation accepted to CVPR 2019.
  • 02 / 2019:   One paper on weakly-supervised object localization accepted to ICASSP 2019.
  • 11 / 2018:   One oral paper on representation learning accepted to AAAI 2019.
  • 10 / 2018:   We won the Third Place in IEEE Video and Image Processing (VIP) Cup.
  • 07 / 2018:   One paper on semantic matching accepted to ACCV 2018.

Publications

Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2020
[Paper] [Project page] [Code]
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)
[Paper]
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
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
AAAI Conference on Artificial Intelligence (AAAI), 2019
Oral Presentation
[Paper] [Slides] [Poster]
Saliency Aware: Weakly Supervised Object Localization
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
[Paper]
Deep Semantic Matching with Foreground Detection and Cycle Consistency
Asian Conference on Computer Vision (ACCV), 2018
[Paper] [Project Page] [Code] [Poster]
Learning Volumetric Segmentation for Lung Tumor
IEEE Video and Image Processing (VIP) Cup, 2018 Third Place
IEEE International Conference on Image Processing (ICIP), 2018
[Paper] [Project Page] [Slides] [Demo]