Youngrae Kim | University of Southern California (USC)

About Me

I am a first-year Ph.D. student in Computer Engineering at the University of Southern California (USC), where I am advised by Prof. Jay Kuo and Prof. Peter Beerel. I previously earned my M.S. in Computer Science from the Korea Advanced Institute of Science and Technology (KAIST), where I was advised by Prof. Dongman Lee.

Areas: Computer Vision, Multi-Modality, Domain Adaptation

I’m open to collaboration — feel free to reach out if you’re working on related topics!

[Oct. 2024] Our paper on test-time adaptation is accepted to WACV 2025.
[Aug. 2024] Our paper on test-time adaptation is accepted to ECCV 2024 Workshop on Vision-Centric Autonomous Driving.
[Jul. 2024] Our paper on disentangled video representation learning is accepted for oral presentation at ECCV 2024.
[Jul. 2024] Our paper on few-shot learning for image restoration is accepted to ECCV 2024.
[Apr. 2024] I’ve been accepted to USC as a Ph.D. student.

IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR)

Association for the Advancement of Artificial Intelligence Conference (AAAI)

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)

Data Structure (CS206) course, School of Computing, KAIST (Fall 2022)

Operating System (CS330) course, School of Computing, KAIST (Spring 2022)