mandos KimManjin

I'm Manjin Kim, a Ph.D student in Pohang University of Science and Technology (POSTECH), South Korea. I am a member of the computer vision lab at POSTECH, under supervision of Professor Minsu Cho. My research interest is in learning video representation and its applications.

Research Interests

Learning correlation structures for vision transformers [project page] [code]
Manjin Kim, Paul Hongsuck Seo*, Cordelia Schmid, and Minsu Cho* (* corresponding authors), CVPR 2024.
Future transformer for long-term action anticipation [project page] [code]
Dayoung Gong, Joonseok Lee, Manjin Kim, Seongjong Ha, and Minsu Cho, CVPR 2022.
Relational self-attention: what's missing in attention for video understanding [project page] [code]
Manjin Kim*, Heeseung Kwon*, Chunyu Wang, Suha Kwak, and Minsu Cho (* equal contribution), NeurIPS 2021.
Learning self-similarity in space and time as as generalized motion for video action recognition [project page] [code]
Heeseung Kwon*, Manjin Kim*, Suha Kwak, and Minsu Cho (* equal contribution), ICCV 2021.
MotionSqueeze: neural motion feature learning for video understanding [project page] [code]
Heeseung Kwon, Manjin Kim, Suha Kwak, and Minsu Cho, ECCV 2020.

Student Researcher, Google Research, France (Jul. 2022 - Jan. 2023)
- Developed a multimodal long-form video captioning system.
- Host: Paul Hongsuck Seo
Research Intern, Microsoft Research Asia (MSRA), remote (Dec. 2020 - June. 2021)
- Developed a dynamic neural feature transform method, called Relational Self-Attention.
- Mentor: Chunyu Wang
Research Intern, LG CNS, Korea (Jun. 2018 - Aug. 2018)
- Developed a video data augmentation system using CycleGAN.