Yu-Jhe (Jack)Li

My Chinese name is 李宇哲. I am currently a PhD student of Electrical and Computer Engineering (ECE) at Carnegie Mellon University (CMU), advised by Prof. Kris Kitani.

Prior to that, I served as a research associate at the Robotics Institute working with Kris Kitani for one year. In the past, I received my Master of Science degree in Vision and Learning Lab (VLL) at National Taiwan University (國立台灣大學) in 2019, where I was supervised by Prof. Yu-Chiang Frank Wang. I was also co-working with Prof. Yen-Yu Lin. I received my Bachelor of Science degree at National Tsing Hua University (國立清華大學) in 2017.

yujheli [AT] cs.cmu.edu
Email  /  CV (updated Jun. 14)  /  Google Scholar  /  Github  /  Facebook

profile photo
sym

Carnegie Mellon University
Ph.D in ECE
Aug. 20 - Present

sym

Facebook Research
Research Intern
May. 21 - Aug. 21

The Robotics Institute
Research Associate
Sep. 19 - Aug. 20

sym

National Taiwan University
M.Sc. in Comm. Eng.
Sep 17 - Jan. 19

sym

National Tsing Hua University
B.Sc. in EECS
Sep. 13 - Jan. 17

News

  • Jul. 2022:   One paper is accepted to ECCV 2022.
  • Mar. 2022:   Two papers are accepted to CVPR 2022.
  • Sep. 2021:   One paper is received Best Industry Impact Award to ICIP2021.
  • Jul. 2021:   One paper is accepted to ICCV2021.
  • May. 2021:   Start my summer intership at Facebook.
  • May. 2021:   One paper is accepted to ICIP2021.
  • Mar. 2021:   One paper is accepted to CVPR2021.
  • Nov. 2020:   One paper is accepted to WACV2021.
  • Sep. 2020:   One paper is accepted to ACCV2020.
  • Aug. 2020:   Start my Ph.D. program at CMU.
  • Research

    My research interests span the fields of Machine Learning (ML) and Computer Vision (CV), particularly representation learning, domain adaptation, object detection, tracking, and re-identification.

    Pre-prints
    clean-usnob Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
    Yu-Jhe Li*, Yun-Chun Chen*, Yen-Yu Lin, Yu-Chiang Frank Wang
    (* indicates equal contribution)
    Arxiv, 2020
    ArXiv
    Publications
    clean-usnob Domain Adaptive Hand Keypoint and Pixel Localization in the Wild
    Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, and Yoichi Sato
    European Conference on Computer Vision (ECCV), 2022
    Arxiv
    clean-usnob Cross-Domain Adaptive Teacher for Object Detection
    Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Project Page/ Paper/ Code
    clean-usnob Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection
    Yu-Jhe Li, Jinhyung Park, Matthew O'Toole, Kris Kitani
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    Paper
    Visio-Temporal Attention for Multi- Camera Multi-Target Association.
    Yu-Jhe Li, Xinshuo Weng, Yan Xu, Kris Kitani
    IEEE International Conference on Computer Vision (ICCV), 2021
    CVF Paper
    Wide-Baseline Multi-Camera Calibration using Person Re-Identification
    Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    CVF Paper
    Learning Shape Representations for Person Re-Identification under Clothing Change
    Yu-Jhe Li, Xinshuo Weng, Kris Kitani
    Winter Conference on Applications of Computer Vision (WACV), 2021
    ArXiv (old version)/ CVF Paper
    clean-usnob Transforming Multi-Concept Attention into Video Summarization
    Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang
    Asian Conference on Computer Vision (ACCV), 2020
    ArXiv/ CVF Paper
    clean-usnob Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
    Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang
    IEEE International Conference on Computer Vision (ICCV), 2019
    ArXiv/ CVF Paper/ Code
    clean-usnob Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
    Yu-Jhe Li*, Yun-Chun Chen*, Yen-Yu Lin, Xiao-fei Du, Yu-Chiang Frank Wang (*indicates equal contribution)
    IEEE International Conference on Computer Vision (ICCV), 2019
    ArXiv/ CVF Paper
    clean-usnob Spot and Learn: A Maximum-Entropy Image Patch Sampler for Few-Shot Classification
    Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
    CVF Paper
    clean-usnob Learning Resolution-Invariant Deep Representations for Person Re-Identification
    Yu-Jhe Li*, Yun-Chun Chen*, Xiao-fei Du, Yu-Chiang Frank Wang (*indicates equal contribution)
    AAAI Conference on Artificial Intelligence (AAAI), 2019   (Oral Presentation)
    ArXiv/ AAAI Paper
    clean-usnob Deep Reinforcement Learning for Playing 2.5D Fighting Games
    Yu-Jhe Li*, Hsin-Yu Chang*, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang (*indicates equal contribution)
    IEEE International Conference on Image Processing (ICIP), 2018
    ArXiv/ IEEE Paper/ Code
    clean-usnob Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
    Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018
    ArXiv/ Paper/ Code
    Professional Activities
    Reviewer or program committee:

    ICLR 2022, CVPR 2022, ECCV 2022, NeurIPS 2022
    AAAI 2021, WACV 2021, CVPR 2021, ICCV 2021
    CVPR 2020, ECCV 2020, ACCV 2020
    Other Experiences
    Software Engineer
    Trend Micro inc., Taipei, Taiwan
    July. 2017 - Aug. 2017
    Summer internship
    Exchange Student
    University of Minnesota, Twin-Cities, MN, USA
    Aug. 2016 - Dec. 2016
    Fall semester
    Exchange Student
    Fudan University, Shanghai, China
    July. 2015 - Aug. 2015
    Summer
    Exchange Student
    Tsinghua University, Beijing, China
    July. 2014 - Aug. 2014
    Summer