Hi! I am a Ph.D. student at SNU Computer Vision Lab, under the guidance of Prof. Bohyung Han. My research interest is in computer vision and machine learning, with a primary focus on object-level understanding in an open world based on object detection, segmentation, and tracking. Recently, I am interested in exploring this topic further with multi-modal data.
In addition to my research, I am also passionate about promoting diversity and accessibility in AI. My vision is to create a 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!
- July 2022: Our paper on scaling frame-level training of trackers to a sequence level has been accepted at ECCV 2022.
- April 2022: Our paper on online hybrid lightweight representation learning for visual tracking has been accepted at IJCAI 2022.
Ph.D. in Electrical and Computer Engineering
Seoul National University
Mar 2020 - (now)
B.S. in Electrical and Electronics Engineering
GPA 4.31/4.50, Class Rank 2/86
Mar 2016 - Feb 2020
Towards Sequence-Level Training for Visual Tracking
Minji Kim*, Seungkwan Lee*, Jungseul Ok, Bohyung Han, Minsu Cho (*Equal Contribution)
Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking
Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han
🗄 Industrial Projects
Tiny Object Detection in EO/IR Images
Agency for Defense Development (ADD)
Jan 2022 - (now)
🎖 Honors and Awards
IPIU Excellence Paper Award Feb 2023
IPIU Undergraduate Best Paper Award Feb 2019
Intel FPGA Design Contest (3rd Place) Dec 2017
Academic Scholarship, Konkuk University 2016 - 2019
Conference: CVPR (2023)
Journal: TPAMI, MVAP
Dependable Deep Neural Networks SNU 430.659 (Prof. Bohyung Han), Spring 2022
Data Structures SNU 430.217 (Prof. Bohyung Han), Fall 2021
Samsung AI Project on Visual Object Tracking Samsung Electronics, May & July 2020
President of BOOT&4DIM
Electronics Engineering Academic Club, Konkuk University, 2018