Minjoon Jung

I am a Ph.D. candidate in Graduate School of AI of Seoul National University, advised by Prof. Byoung-Tak Zhang. Currently, I'm working as a research intern at NUS@CVML with Dr. Junbin Xiao and Prof. Angela Yao. My research interests include multimodal learning (vision-and-language) and video understanding. If you are interested in collaborating, please feel free to contact me via email. Before to joining Ph.D program, I earned my Bachelor's degree in Software Engineering from Chung-Ang University.

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Research

I have a broad interest in vision-and-language and video modeling. Recently, I have been researching methods for Large Language Models (LLMs) to understand videos and effectively represent temporal information.

Publications

PGA: Personalizing Grasping Agents with Single Human-Robot Interaction
Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang*
arXiv, 2023
paper / code

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval
Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim*, Byoung-Tak Zhang*
arXiv, 2023
paper / code

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim*, Byoung-Tak Zhang*
EMNLP, 2022
paper / code

Stagemix video generation using face and body keypoints detection
Minjoon Jung, Seung-Hyun Lee, Eunseon Sim, Minho Jo, Yujin Lee, Hyebin Choi,
Junseok Kwon*
Multimedia Tools and Applications, 2022
paper / code

Toward a Human-Level Video Understanding Intelligence
Yu-Jung Heo, Minsu Lee, Seongho Choi, Woo Suk Choi, Minjung Shin, Minjoon Jung,
Jeh-Kwang Ryu, Byoung-Tak Zhang*
AAAI 2021 Fall Symposium Series on Artificial Intelligence for Human-Robot Interaction, 2021
paper / code

Service
  • Conference Reviewer: EMNLP 2022, ACL 2023, EMNLP 2023


Minjoon Jung. BI LAB, Seoul National University