About Me
Hi! I am a PhD student at the SNU Computer Vision Lab, advised by Prof. Bohyung Han. I am interested in designing cutting-edge deep neural networks for video understanding, aiming to capture object, scene, and temporal dynamics at the level of human perception. To this end, my research focuses on: Video Understanding, Action Recognition, Object Tracking, Multimodal Learning, and (Large) Vision-Language Models.
In addition to my research, I am also passionate about promoting diversity and accessibility in AI. I envision the world where technology is accessible to all, including individuals with disabilities and those from underrepresented racial and gender groups.
Here is my CV for more info!
Contact: minji@snu.ac.kr
🤗 News
- Jul 2025: I joined Amazon Berlin as an Applied Scientist Intern.
- Feb 2025: I received the Best Paper Award (Grand Prize) at the Workshop on Image Processing and Image Understanding (IPIU) in Jeju, Korea.
- Dec 2024: I have been selected as a winner of the Qualcomm Innovation Fellowship Korea 2024.
- Jul 2024: Our paper on enhancing CLIP’s video understanding capability by infusing global information has been accepted at ECCV 2024.
Older News
- Oct 2023: I joined NAVER AI Lab as a research intern.
- Jul 2022: Our paper on resolving training/testing inconsistency problem in visual tracking has been accepted at ECCV 2022.
- Apr 2022: Our paper on online hybrid lightweight representation learning for visual tracking has been accepted at IJCAI 2022.
📖 Education
Seoul National University
Ph.D. in Electrical and Computer Engineering (Advisor: Prof. Bohyung Han)
Mar 2020 — Present
Konkuk University
B.S. in Electrical and Electronics Engineering
Mar 2016 — Feb 2020
💼 Work Experience
Amazon Berlin
Applied Scientist Intern, Premium AI Team
June 2025 — Present
NAVER AI Lab
Research Intern, Backbone Research Team
Mentors: Taekyung Kim, Dongyoon Han
Oct 2023 — Apr 2024
📝 Publications
Leveraging Temporal Contextualization for Video Action Recognition
Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han
ECCV 2024 
Towards Sequence-Level Training for Visual Tracking
Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han, Minsu Cho (*Equal Contribution)
ECCV 2022 
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
IJCAI 2022 
🗄 Projects
Tiny Object Detection in EO/IR Images
Joint with Agency for Defense Development (ADD)
Jan 2022 — May 2023
🎖 Honors and Awards
Qualcomm Innovation Fellowship Korea, 2024
IPIU Best Paper Award, 2023 & 2025
IPIU Undergraduate Best Paper Award, 2019
Intel FPGA Design Contest, 2017
Academic Excellence Scholarship, Konkuk University, 2016 - 2019
💻 Academic Service
Reviewer
Conference: CVPR, NeurIPS, ICCV, ECCV, AAAI, WACV
Journal: TPAMI, MVAP
Teaching Assistant
Samsung AI Expert, 2024
Dependable Deep Neural Networks, Seoul National University, Spring 2022
Data Structures, Seoul National University, Fall 2021
Samsung AI Academy Advanced Course, 2020
💪 Leadership
President of BOOT&4DIM
Electronics Engineering Academic Club, Konkuk University, 2018