DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. - Seunghun Lee 002; Sunghyun Cho; Sunghoon Im (CVPR, 2021)

ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. - Seunghun Lee 002; Wonhyeok Choi; Changjae Kim; Minwoo Choi; Sunghoon Im (CVPR, 2022)

Multi-Target Domain Adaptation with Class-Wise Attribute Transfer in Semantic Segmentation. - Changjae Kim; Seunghun Lee 002; Sunghoon Im (BMVC, 2023)

Offline-to-Online Knowledge Distillation for Video Instance Segmentation. - Hojin Kim; Seunghun Lee 002; Sunghoon Im (CoRR, 2023)

Offline-to-Online Knowledge Distillation for Video Instance Segmentation. - Hojin Kim; Seunghun Lee 002; Hyeon Kang; Sunghoon Im (WACV, 2024)

Context-Aware Video Instance Segmentation. - Seunghun Lee 002; Jiwan Seo; Kiljoon Han; Minwoo Choi; Sunghoon Im (CoRR, 2024)

TEXTOC: Text-driven Object-Centric Style Transfer. - Jihun Park; Jongmin Gim; Kyoungmin Lee; Seunghun Lee 002; Sunghoon Im (CoRR, 2024)

Style-Editor: Text-driven Object-centric Style Editing. - Jihun Park; Jongmin Gim; Kyoungmin Lee; Seunghun Lee 002; Sunghoon Im (CVPR, 2025)

Bridging Geometric and Semantic Foundation Models for Generalized Monocular Depth Estimation. - Sanggyun Ma; Wonjoon Choi; Jihun Park; Jaeyeul Kim; Seunghun Lee 002; Jiwan Seo; Sunghoon Im (CoRR, 2025)

Latest Object Memory Management for Temporally Consistent Video Instance Segmentation. - Seunghun Lee 002; Jiwan Seo; Minwoo Choi; Kiljoon Han; Jaehoon Jeong; Zane Durante; Ehsan Adeli 001; Sang Hyun Park; Sunghoon Im (CoRR, 2025)