Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation. - Hyeongjun Kwon; Somi Jeong; Sunok Kim; Kwanghoon Sohn (CoRR, 2021)

Mask-Guided Attention and Episode Adaptive Weights for Few-Shot Segmentation. - Hyeongjun Kwon; Taeyong Song; Sunok Kim; Kwanghoon Sohn (ICIP, 2022)

Probabilistic Prompt Learning for Dense Prediction. - Hyeongjun Kwon; Taeyong Song; Somi Jeong; Jin Kim 005; Jinhyun Jang; Kwanghoon Sohn (CVPR, 2023)

Knowing Where to Focus: Event-aware Transformer for Video Grounding. - Jinhyun Jang; Jungin Park; Jin Kim 005; Hyeongjun Kwon; Kwanghoon Sohn (ICCV, 2023)

Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping. - Hyeongjun Kwon; Jinhyun Jang; Jin Kim 005; Kwonyoung Kim; Kwanghoon Sohn (CVPR, 2024)

Enhancing Source-Free Domain Adaptive Object Detection with Low-Confidence Pseudo Label Distillation. - Ilhoon Yoon; Hyeongjun Kwon; Jin Kim 005; Junyoung Park; Hyunsung Jang; Kwanghoon Sohn (ECCV (84), 2024)

Layer-wise Auto-Weighting for Non-Stationary Test-Time Adaptation. - Junyoung Park; Jin Kim 005; Hyeongjun Kwon; Ilhoon Yoon; Kwanghoon Sohn (WACV, 2024)

Faster Parameter-Efficient Tuning with Token Redundancy Reduction. - Kwonyoung Kim; Jungin Park; Jin Kim 005; Hyeongjun Kwon; Kwanghoon Sohn (CVPR, 2025)