Adaptive confidence thresholding for semi-supervised monocular depth estimation. - Hyesong Choi; Hunsang Lee; Sunkyung Kim; Sunok Kim; Seungryong Kim; Dongbo Min (CoRR, 2020)

Adaptive confidence thresholding for monocular depth estimation. - Hyesong Choi; Hunsang Lee; Sunkyung Kim; Sunok Kim; Seungryong Kim; Kwanghoon Sohn; Dongbo Min (ICCV, 2021)

KNN Local Attention for Image Restoration. - Hunsang Lee; Hyesong Choi; Kwanghoon Sohn; Dongbo Min (CVPR, 2022)

Sequential Cross Attention Based Multi-Task Learning. - Sunkyung Kim; Hyesong Choi; Dongbo Min (ICIP, 2022)

Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning. - Hyesong Choi; Hunsang Lee; Wonil Song; Sangryul Jeon; Kwanghoon Sohn; Dongbo Min (CVPR, 2023)

Environment Agnostic Representation for Visual Reinforcement learning. - Hyesong Choi; Hunsang Lee; Seongwon Jeong; Dongbo Min (ICCV, 2023)

Cross-Scale KNN Image Transformer for Image Restoration. - Hunsang Lee; Hyesong Choi; Kwanghoon Sohn; Dongbo Min (IEEE Access, 2023)

Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels. - Wonil Song; Sangryul Jeon; Hyesong Choi; Kwanghoon Sohn; Dongbo Min (Expert Syst. Appl., 2023)

Emerging Property of Masked Token for Effective Pre-training. - Hyesong Choi; Hunsang Lee; Seyoung Joung; Hyejin Park 003; Jiyeong Kim; Dongbo Min (ECCV (76), 2024)

Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. - Hyesong Choi; Hyejin Park 003; Kwang Moo Yi; Sungmin Cha; Dongbo Min (ECCV (78), 2024)

A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations. - Wonil Song; Hyesong Choi; Kwanghoon Sohn; Dongbo Min (NeurIPS, 2024)

SG-MIM: Structured Knowledge Guided Efficient Pre-training for Dense Prediction. - Sumin Son; Hyesong Choi; Dongbo Min (CoRR, 2024)

UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching. - Soomin Kim; Hyesong Choi; Jihye Ahn; Dongbo Min (CoRR, 2024)

CLDA: Collaborative Learning for Enhanced Unsupervised Domain Adaptation. - Minhee Cho; Hyesong Choi; Hayeon Jo; Dongbo Min (CoRR, 2024)

iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation. - Hayeon Jo; Hyesong Choi; Minhee Cho; Dongbo Min (CoRR, 2024)

Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models. - Hyesong Choi; Daeun Kim; Sungmin Cha; Kwang Moo Yi; Dongbo Min (CoRR, 2024)

TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning. - Seungmin Baek; Soyul Lee; Hayeon Jo; Hyesong Choi; Dongbo Min (CVPR, 2025)

MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling. - Jihye Ahn; Hyesong Choi; Soomin Kim; Dongbo Min (IEEE Access, 2025)

Global Structural Knowledge Distillation for Semantic Segmentation. - Hyejin Park 003; Keonhee Ahn; Hyesong Choi; Dongbo Min (IEEE Access, 2025)