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. Before to joining Ph.D program, I earned my Bachelor's degree in Software Engineering from Chung-Ang University.

Email / CV / Google Scholar / Github

Research

I have a broad interest in vision-and-language and video modeling. Recently, I have been working on video large language models for fine-grained video understanding.

Publications

Background-aware Moment Detection for Video Moment Retrieval

Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim*, Byoung-Tak Zhang*

Winter Conference on Applications of Computer Vision (WACV), 2025
paper / code

Can Video Large Language Models Comprehend Language in Videos?

Minjoon Jung, Junbin Xiao, Byoung-Tak Zhang* Angela Yao*

NeurIPS 2024 Workshop on Video-Language Models
TBD

PGA: Personalizing Grasping Agents with Single Human-Robot Interaction

Junghyun Kim, Gi-Cheon Kang, Jaein Kim, Seoyun Yang, Minjoon Jung, Byoung-Tak Zhang*

International Conference on Intelligent Robots and Systems (IROS), 2024 (Oral)
paper / code

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval

Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim*, Byoung-Tak Zhang*

Empirical Methods in Natural Language Processing (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 (MTAP), 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
paper

Service

Conference Reviewer: EMNLP 2022-2023, ACL 2023-2024

Minjoon Jung. BI LAB, Seoul National University