Yu-Jhe Li

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

Carnegie Mellon University Ph.D in ECE Aug. 20 - Present	The Robotics Institute Research Associate Sep. 19 - Aug. 20	National Taiwan University M.Sc. in Comm. Eng. Sep 17 - Jan. 19	National Tsing Hua University B.Sc. in EECS Sep. 13 - Jan. 17

Meta Research Research Scientist Intern May. 22 - Aug. 22	Facebook Research Research Intern May. 21 - Aug. 21

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.

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.

Publications

	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
	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
	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
	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
	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
	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
	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
	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
	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
	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

Pre-prints

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

Professional Activities

Reviewer or program committee:

ICLR 2023, CVPR 2023
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