Yong Jae Lee is affiliated with the University of Wisconsin-Madison in the United States and specializes in computer science, with a strong focus on computer vision and pattern recognition. Their research extends into artificial intelligence, electrical and electronic engineering, mechanical engineering, and signal processing.
The scientist's work encompasses several core topics, including:
Yong Jae Lee has published extensively, with a substantial number of papers appearing primarily in arXiv (Cornell University). Other publication venues include the SSRN Electronic Journal, Nature Communications, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and the 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Notable recent papers include:
The scientist frequently collaborates with other researchers in the field. Their most common coauthors include:
Daniel Bolya;Chong Zhou;Fanyi Xiao;Yong Jae Lee
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Yong Jae Lee;Joydeep Ghosh;Kristen Grauman
Krishna Kumar Singh;Yong Jae Lee
Yong Jae Lee;Jaechul Kim;Kristen Grauman
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Daniel Bolya;Chong Zhou;Fanyi Xiao;Yong Jae Lee
Yong Jae Lee;C. Lawrence Zitnick;Michael F. Cohen
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Yong Jae Lee;Kristen Grauman
Xiuye Gu;Yijie Wang;Chongruo Wu;Yong Jae Lee
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Zhongzheng Ren;Zhiding Yu;Xiaodong Yang;Ming-Yu Liu
Utkarsh Ojha;Yijun Li;Jingwan Lu;Alexei A. Efros
Zhongzheng Ren;Yong Jae Lee;Michael S. Ryoo
Zhongzheng Ren;Yong Jae Lee
Fanyi Xiao;Yong Jae Lee
Fanyi Xiao;Yong Jae Lee;Kristen Grauman;Jitendra Malik
Tinghui Zhou;Yong Jae Lee;Stella X. Yu;Alexei A. Efros
Yong Jae Lee;Kristen Grauman
Hyun Oh Song;Yong Jae Lee;Stefanie Jegelka;Trevor Darrell
Yong Jae Lee;Kristen Grauman
Yong Jae Lee;Kristen Grauman
Fanyi Xiao;Leonid Sigal;Yong Jae Lee
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