I am Seunghun Lee, a Ph.D. student at DGIST (Daegu Gyeongbuk Institute of Science and Technology, Daegu, Republic of Korea) under the supervision of Prof. Sunghoon Im. I received my B.S. degree in Convergence Engineering from DGIST. My previous research focused on domain adaptation using image-to-image translation. Currently, my research interests lie in object-centric video tasks such as Video Instance Segmentation (VIS) and Referring Video Object Segmentation (RVOS). I am fortunate to have the opportunity to visit Stanford University starting this September, supervised by Prof. Ehsan Adeli.
🔥 News
- 2024.09: I join Stanford University as a visiting researcher.
📝 Publications
Offline-to-Online Knowledge Distillation for Video Instance Segmentation (Oral)
Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im
Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation
Changjae Kim, Seunghun Lee, Sunghoon Im
🎖 Honors and Awards
- 2024.07, DGIST Post-Graduate Research Abroad Awards, DGIST
- 2024.02, Participation prize, 30th HumanTech Paper Award, Samsung Electronics Co., Ltd.
- 2022.08, Outstanding Researcher Award, 2022 DGIST Student Conference, EECS.
- 2022.02, Participation prize, 28th HumanTech Paper Award, Samsung Electronics Co., Ltd.
- 2021.12, 3rd place Prize at ICT Paper Contest.
🏫 Educations
- 2018.02 - present, Ph. D. course, Electrical Engineering and Computer Science, DGIST, Daegu.
- 2015.02 - 2019.02, Undergraduate, Convergence Engineering, DGIST, Daegu.
📖 Academic Activities
- Reviewer
- 2023 - 2024, IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2023 - 2024, Conference on Neural Information Processing Systems (NeurIPS)
- 2023, IEEE International Conference on Computer Vision (ICCV)
- 2024, International Conference on Machine Learning (ICML)
- 2024, European Conference on Computer Vision (ECCV)
- 2024, Pacific Graphics
- 2024, Association for the Advancement of Artificial Intelligence (AAAI)
- 2024, International Conference on Learning Representations (ICLR)
- Advanced Studies
- 2023, International Computer Vision Summer School (ICVSS)
💻 Internships
- 2024.09 - 2025.02, Stanford University, California, US.