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

CAVIS: Context-Aware Video Instance Segmentation

Seunghun Lee*, Jiwan Seo*, Kiljoon Han, Minwoo Choi, Sunghoon Im

Paper | Project

WACV 2024

Offline-to-Online Knowledge Distillation for Video Instance Segmentation (Oral)

Hojin Kim, Seunghun Lee, Hyeon Kang, Sunghoon Im

Paper

BMVC 2023

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation

Changjae Kim, Seunghun Lee, Sunghoon Im

Paper

CVPR 2022

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation

Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im

Paper | Code

CVPR 2021

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation

Seunghun Lee, Sunghyun Cho, Sunghoon Im

Paper | Code

🎖 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.