| Knn local attention for image restoration H Lee, H Choi, K Sohn, D Min Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 72 | 2022 |
| Adaptive confidence thresholding for monocular depth estimation H Choi, H Lee, S Kim, S Kim, S Kim, K Sohn, D Min Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 35 | 2021 |
| Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning H Choi, H Lee, W Song, S Jeon, K Sohn, D Min Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 11* | 2023 |
| Cross-scale KNN image transformer for image restoration H Lee, H Choi, K Sohn, D Min IEEE Access 11, 13013-13027, 2023 | 10 | 2023 |
| Environment Agnostic Representation for Visual Reinforcement learning H Choi, H Lee, S Jeong, D Min Proceedings of the IEEE/CVF International Conference on Computer Vision, 263-273, 2023 | 10 | 2023 |
| Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training H Choi, H Park, KM Yi, S Cha, D Min European Conference on Computer Vision, 2024 | 9 | 2024 |
| Emerging Property of Masked Token for Effective Pre-training H Choi, H Lee, S Joung, H Park, J Kim, D Min European Conference on Computer Vision, 2024 | 8 | 2024 |
| Sequential Cross Attention Based Multi-task Learning S Kim, H Choi, D Min IEEE International Conference on Image Processing, 2022 | 6 | 2022 |
| Learning disentangled skills for hierarchical reinforcement learning through trajectory autoencoder with weak labels W Song, S Jeon, H Choi, K Sohn, D Min Expert Systems with Applications 230, 120625, 2023 | 5 | 2023 |
| MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling J Ahn, H Choi, S Kim, D Min IEEE Access, 2025 | 2 | 2025 |
| SG-MIM: Structured Knowledge Guided Efficient Pre-training for Dense Prediction S Son, H Choi, D Min arXiv preprint arXiv:2409.02513, 2024 | 2 | 2024 |
| Weakly-Supervised Learning of Disentangled and Interpretable Skills for Hierarchical Reinforcement Learning W Song, S Jeon, H Choi, K Sohn, D Min | 2 | |
| UniTT-Stereo: Unified Training of Transformer for Enhanced Stereo Matching S Kim, H Choi, J Ahn, D Min arXiv preprint arXiv:2409.02545, 2024 | 1 | 2024 |
| CLDA: Collaborative Learning for Enhanced Unsupervised Domain Adaptation M Cho, H Choi, H Jo, D Min arXiv preprint arXiv:2409.02699, 2024 | 1 | 2024 |
| iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation H Jo, H Choi, M Cho, D Min arXiv preprint arXiv:2409.02838, 2024 | 1 | 2024 |
| TADFormer: Task-Adaptive Dynamic Transformer for Efficient Multi-Task Learning S Baek, S Lee, H Jo, H Choi, D Min arXiv preprint arXiv:2501.04293, 2025 | | 2025 |
| Improving Generative Pre-Training: An In-depth Study of Masked Image Modeling and Denoising Models H Choi, D Kim, S Cha, KM Yi, D Min arXiv preprint arXiv:2412.19104, 2024 | | 2024 |
| A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations W Song, H Choi, K Sohn, D Min The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | | 2024 |
| Pseudo Label-Guided Multi Task Learning for Scene Understanding S Kim, H Choi, D Min Image Processing and Image Understanding, 2020 | | 2020 |
| Emerging Property of Masked Token for Effective Pre-training-Supplementary material H Choi, H Lee, S Joung, H Park, J Kim, D Min | | |
Dongbo MinComputer Science and Engineering, Ewha Womans University, KoreaDirección de correo verificada de ewha.ac.kr