Sohyun Lee

According to our database, Sohyun Lee authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Robust Promptable Video Object Segmentation.

Sohyun Lee, Yeho Gwon, Lukas Hoyer, Konrad Schindler, Christos Sakaridis, Suha Kwak

CoRR, May, 2026

Learned split-spectrum metalens for obstruction-free broadband imaging in the visible.

Seungwoo Yoon, Dohyun Kang, Eunsue Choi, Sohyun Lee, Seoyeon Kim, Minho Choi, Hyeonsu Heo, Dong-Ha Shin, Suha Kwak, Arka Majumdar, Junsuk Rho, Seung-Hwan Baek

CoRR, January, 2026

2025

DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation.

Sohyun Lee, Nayeong Kim, Juwon Kang, Seong Joon Oh, Suha Kwak

CoRR, April, 2025

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation.

Sohyun Lee, Yeho Gwon, Lukas Hoyer, Suha Kwak

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

FREST: Feature RESToration for Semantic Segmentation Under Multiple Adverse Conditions.

Sohyun Lee, Namyup Kim, Sungyeon Kim, Suha Kwak

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Active Learning for Semantic Segmentation with Multi-class Label Query.

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Design and Implementation of Intelligent Safety Services for Personal Mobility Devices.

Taein Yong, Sohyun Lee, Hyeonji Kim, Pyeongjoo Kim, Jaeho Kim

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Human Pose Estimation in Extremely Low-Light Conditions.

Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Combating Label Distribution Shift for Active Domain Adaptation.

Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation.

Sohyun Lee, Taeyoung Son, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization.

Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022