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Tae-Hyun Oh, Ph.D.

Status
Professor
E-mail
taehyun@postech.ac.kr
Research Interest
Joined From
CV

About me

I am an Associate Professor at Dept. of Elec. Eng. (adjunct with Grad. school of AI and Dept. of Creative IT Eng.), POSTECH, Korea since 2023. I joined POSTECH as an assistant professor in 2020. I was also jointly affiliated with OpenLab, POSCO-RIST, Pohang, Korea from 2021 to 2023 as Research Director.
I received the B.E. degree (First class honors) in Computer Engineering from Kwang-Woon University, South Korea in '10, and the M.S. and Ph.D. degrees in Electrical Engineering from KAIST, South Korea in '12 and '17, respectively.
I was with Facebook AI Research working with prof. Lorenzo Torresani. I was a postdoctoral associate in Computational Fabrication Group (PI: prof. Wojciech Matusik) at MIT CSAIL, Cambridge, MA, US. I completed my M.S. and Ph.D. at Dept. EE, KAIST, Korea (co-advised by profs. In So Kweon and Jinwoo Shin, and former co-advisor Dr. Yu-Wing Tai). I finished my B.E. degree (the first-class honor) from Dept. Computer Engineering at Kwang-Woon University (KWU), Korea.
I was a research intern in Visual Computing Group, Microsoft Research Asia (MSRA), Beijing, China from 2014 to 2015, where I was working with Drs. Yasuyuki Matsushita and David Wipf. I visited Cognitive Group, Microsoft Research, Redmond, WA, US in 2016 as a research intern, and worked with Drs. Sing Bing Kang, Neel Joshi and Baoyuan Wang on computational photography.
I am a recipient of Microsoft Research Asia Fellowship, Gold prize of Samsung HumanTech thesis award, Qualcomm Innovation awards, Excellent research achievement award by Hyundai Motor Co., CVPR outstanding reviewer award 2020 and top research achievement awards from KAIST. I was also selected as an outstanding reviewer in CVPR'20 and ICLR'22.
I have served as area chair for ICCV'23, NeurIPS'23\&24, CVPR'24, and ICLR'24, senior program chairs for AAAI'22, and an associate editor for the International Journal of Computer Vision (IJCV) and Visual Computer journal (TVCJ), and ICRA'23-'24.

Research interests

I am broadly interested in computer vision & machine learning. Mostly, I like human centric research that connects human and machine in general. My research interests include:
•
Multi-modal machine perception development and learning including vision, language, audio, speech, and 3D.
•
Data efficient learning (Prior based learning and inference, minimal-supervised learning)
•
Deep neural networks and representation learning
•
Low-rank & sparse structure and related optimization techniques
but not limited to.