Info: I will be applying for a PhD degree in Computer Vision this December.

About me


I am a visiting student in the Vision and Learning Lab at Virginia Tech under the supervision of Prof. Jia-Bin Huang. Previously, I am fortunate to be advised by Dr. Yen-Yu Lin (Academia Sinica), Prof. Ming-Hsuan Yang (UC Merced), 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, Representation Learning, and Few-Shot Learning.

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

News


  • 05 / 2019:   Submit one paper on joint matching and co-segmentation to PAMI.
  • 03 / 2019:   I am serving as a conference reviewer for BMVC 2019.
  • 02 / 2019:   One paper on unsupervised domain adaptation accepted to CVPR 2019.
  • 02 / 2019:   I am serving as a conference reviewer for ICCV 2019.
  • 02 / 2019:   I am serving as a journal reviewer for Information 2019.
  • 02 / 2019:   I am serving as a conference reviewer for ICIP 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.
  • 09 / 2018:   Work as a full time research assistant at Academia Sinica.
  • 07 / 2018:   One paper on semantic matching accepted to ACCV 2018.
  • 07 / 2017:   Start my internship at Dragon Cloud AI (Saratoga, CA).
  • 07 / 2017:   Work as a part time research assistant at Academia Sinica.
  • 05 / 2017:   One paper on malicious flow detection accepted to PIMRC 2017.
  • 11 / 2016:   One paper on ransomware detection accepted to IEICE 2016.

Publications


2019


Anonymous Title
Yun-Chun Chen, Chen Gao, Esther Robb, and Jia-Bin Huang
Advances in Neural Information Processing Systems
Submitted to NeurIPS 2019

Show, Match and Segment: Joint Learning of Semantic Matching and Object Co-segmentation
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence
Submitted to PAMI
[Paper] [Project Page] [Code]

Anonymous Title
Yun-Chun Chen*, Yu-Jhe Li*, Yen-Yu Lin, Xiaofei Du, and Yu-Chiang Frank Wang
IEEE International Conference on Computer Vision
Submitted to ICCV 2019

CrDoCo: Pixel-level Domain Transfer with Cross-Domain Consistency
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, and Jia-Bin Huang
IEEE Conference on Computer Vision and Pattern Recognition
CVPR 2019 (acceptance rate: 25.2%)
[Paper]

Learning Resolution-Invariant Deep Representations for Person Re-Identification
Yun-Chun Chen*, Yu-Jhe Li*, Xiaofei Du, and Yu-Chiang Frank Wang
Association for the Advancement of Artificial Intelligence
AAAI 2019 (acceptance rate: 16.2%)
Oral Presentation
[Paper] [Project Page] [Slides]

Saliency Aware: Weakly Supervised Object Localization
Yun-Chun Chen and Winston H. Hsu
IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP 2019
[Paper]

2018


Learning Volumetric Segmentation for Lung Tumor
Jhih-Yuan Lin, Min-Sheng Wu, Yu-Cheng Chang, Yun-Chun Chen, Chao-Te Chou, Chun-Ting Wu, and Winston H. Hsu
IEEE Video and Image Processing (VIP) Cup
IEEE International Conference on Image Processing
ICIP 2018
[Paper] [Project Page] [Slides] [Demo]

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]

2017


Deep Learning for Malicious Flow Detection
Yun-Chun Chen, Yu-Jhe Li, Aragorn Tseng, and Tsungnan Lin
PIMRC 2017
[Paper] [Slides]

Projects


Image-based Voxel Segmentation
Yun-Chun Chen, Hung-Yueh Chiang, Yen-Shi Wang, and Winston H. Hsu

Cross-Domain Image-based 3D Shape Retrieval
Yun-Chun Chen, Tang Lee, and Winston H. Hsu

Teaching


Working


Awards