Min, Dongbo

29 publications

ICCV 2025 Hybrid-TTA: Continual Test-Time Adaptation via Dynamic Domain Shift Detection Hyewon Park, Hyejin Park, Jueun Ko, Dongbo Min
NeurIPS 2025 RobIA: Robust Instance-Aware Continual Test-Time Adaptation for Deep Stereo Jueun Ko, Hyewon Park, Hyesong Choi, Dongbo Min
CVPR 2025 TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning Seungmin Baek, Soyul Lee, Hayeon Jo, Hyesong Choi, Dongbo Min
NeurIPS 2024 A Simple Framework for Generalization in Visual RL Under Dynamic Scene Perturbations Wonil Song, Hyesong Choi, Kwanghoon Sohn, Dongbo Min
ECCV 2024 Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge Hyejin Park, Dongbo Min
ECCV 2024 Emerging Property of Masked Token for Effective Pre-Training Hyesong Choi, Hunsang Lee, Seyoung Joung, Hyejin Park, Jiyeong Kim, Dongbo Min
ECCV 2024 Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-Training Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min
ICCV 2023 Environment Agnostic Representation for Visual Reinforcement Learning Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dongbo Min
CVPR 2023 Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning Hyesong Choi, Hunsang Lee, Wonil Song, Sangryul Jeon, Kwanghoon Sohn, Dongbo Min
CVPR 2022 KNN Local Attention for Image Restoration Hunsang Lee, Hyesong Choi, Kwanghoon Sohn, Dongbo Min
NeurIPS 2022 Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence Sunghwan Hong, Jisu Nam, Seokju Cho, Susung Hong, Sangryul Jeon, Dongbo Min, Seungryong Kim
CVPR 2022 Pin the Memory: Learning to Generalize Semantic Segmentation Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, Kwanghoon Sohn
ECCV 2022 PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, Kwanghoon Sohn
ICCV 2021 Adaptive Confidence Thresholding for Monocular Depth Estimation Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, Dongbo Min
CVPR 2021 Mining Better Samples for Contrastive Learning of Temporal Correspondence Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn
ECCV 2020 Guided Semantic Flow Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn
ECCV 2018 PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence Sangryul Jeon, Seungryong Kim, Dongbo Min, Kwanghoon Sohn
NeurIPS 2018 Recurrent Transformer Networks for Semantic Correspondence Seungryong Kim, Stephen Lin, Sang Ryul Jeon, Dongbo Min, Kwanghoon Sohn
ICCV 2017 DCTM: Discrete-Continuous Transformation Matching for Semantic Flow Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn
CVPR 2017 Deeply Aggregated Alternating Minimization for Image Restoration Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn
CVPR 2017 FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn
ECCV 2016 Deep Self-Correlation Descriptor for Dense Cross-Modal Correspondence Seungryong Kim, Dongbo Min, Stephen Lin, Kwanghoon Sohn
ECCV 2016 Fast Guided Global Interpolation for Depth and Motion Yu Li, Dongbo Min, Minh N. Do, Jiangbo Lu
CVPR 2015 DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence Seungryong Kim, Dongbo Min, Bumsub Ham, Seungchul Ryu, Minh N. Do, Kwanghoon Sohn
ICCV 2015 SPM-BP: Sped-up PatchMatch Belief Propagation for Continuous MRFs Yu Li, Dongbo Min, Michael S. Brown, Minh N. Do, Jiangbo Lu
CVPR 2014 Cross-Scale Cost Aggregation for Stereo Matching Kang Zhang, Yuqiang Fang, Dongbo Min, Lifeng Sun, Shiqiang Yang, Shuicheng Yan, Qi Tian
CVPR 2013 Patch Match Filter: Efficient Edge-Aware Filtering Meets Randomized Search for Fast Correspondence Field Estimation Jiangbo Lu, Hongsheng Yang, Dongbo Min, Minh N. Do
CVPR 2012 Cross-Based Local Multipoint Filtering Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, Minh N. Do
ICCV 2011 A Revisit to Cost Aggregation in Stereo Matching: How Far Can We Reduce Its Computational Redundancy? Dongbo Min, Jiangbo Lu, Minh N. Do