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 received my Bachelor of Science degree at National Tsing Hua University (國立清華大學) in 2017.
yujheli [AT] cs.cmu.edu
yujhe.jack [AT] gmail.com
Email  / 
CV (Nov. 2022)  / 
Google Scholar  / 
Github  / 
Twitter
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Carnegie Mellon University Ph.D in ECE Aug. 20 - Present
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The Robotics Institute Research Associate Sep. 19 - Aug. 20
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National Taiwan University M.Sc. in Comm. Eng. Sep 17 - Jan. 19
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National Tsing Hua University B.Sc. in EECS Sep. 13 - Jan. 17
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Meta Research Research Scientist Intern May. 22 - Aug. 22
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Facebook Research Research Intern May. 21 - Aug. 21
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News
Aug. 2022:   Received Qualcomm Innocation Fellowship (only 19 teams in US, see this)
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:   One paper is accepted to ICIP2021.
Mar. 2021:   One paper is accepted to CVPR2021.
Nov. 2020:   One paper is accepted to WACV2021.
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Research
My research interests span the fields of Machine Learning (ML) and Computer Vision (CV), particularly:
Visual representation learning in perception systems (object detection, tracking, re-identification).
Domain adapted learning in cross-domain/cross-modality perception systems.
Visual representation learning for latent-based 2D/3D generative models.
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Software Engineer
Trend Micro inc., Taipei, Taiwan
July. 2017 - Aug. 2017
Summer internship
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Exchange Student
University of Minnesota, Twin-Cities, MN, USA
Aug. 2016 - Dec. 2016
Fall semester
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Exchange Student
Fudan University, Shanghai, China
July. 2015 - Aug. 2015
Summer
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Exchange Student
Tsinghua University, Beijing, China
July. 2014 - Aug. 2014
Summer
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