| Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification S Choi, S Lee, Y Kim, T Kim, C Kim CVPR 2020, 2020 | 390 | 2020 |
| Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection T Kim, M Jeong, S Kim, S Choi, C Kim CVPR 2019, 2019 | 375 | 2019 |
| Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation J Choi, T Kim, C Kim ICCV: International Conference on Computer Vision, 2019 | 322 | 2019 |
| Self-Training with Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection S Kim, J Choi, T Kim, C Kim ICCV: International Conference on Computer Vision, 2019 | 245 | 2019 |
| Meta Batch-Instance Normalization for Generalizable Person Re-Identification S Choi, T Kim, M Jeong, H Park, C Kim CVPR: Conference on Computer Vision and Pattern Recognition, 2021 | 177 | 2021 |
| Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation T Kim, C Kim ECCV: European Conference on Computer Vision, 2020 | 172 | 2020 |
| Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation J Choi, M Jeong, T Kim, C Kim BMVC: British Machine Vision Conference, 2019 | 130 | 2019 |
| What Do Self-Supervised Vision Transformers Learn? N Park, W Kim, B Heo, T Kim, S Yun The Eleventh International Conference on Learning Representations, 2023 | 87 | 2023 |
| CNN-Based Semantic Segmentation Using Level Set Loss Y Kim, S Kim, T Kim, C Kim IEEE Winter Conference on Applications of Computer Vision (WACV), 2019 | 75 | 2019 |
| Robust Camera Pose Refinement for Multi-Resolution Hash Encoding H Heo, T Kim, J Lee, J Lee, S Kim, HJ Kim, JH Kim Proceedings of the Fortieth International Conference on Machine Learning (ICML), 2023 | 27 | 2023 |
| RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation Y Kim, H Lee, S Choi, T Kim, C Kim IEEE Winter Conference on Applications of Computer Vision (WACV), 2020 | 15 | 2020 |
| Just a few points are all you need for multi-view stereo: A novel semi-supervised learning method for multi-view stereo T Kim, J Choi, S Choi, D Jung, C Kim ICCV 2021, 6178-6186, 2021 | 8 | 2021 |
| HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts W Kim, S Chun, T Kim, D Han, S Yun ECCV 2024, 2024 | 6 | 2024 |
| Leveraging Temporal Contextualization for Video Action Recognition M Kim, D Han, T Kim*, B Han* ECCV 2024, 2024 | 4 | 2024 |
| Neural transformation network to generate diverse views for contrastive learning T Kim, D Das, S Choi, M Jeong, S Yang, S Yun, C Kim CVPR workshop, 4901-4911, 2023 | 4 | 2023 |
| Augmenting Sub-model to Improve Main Model B Heo, T Kim, S Yun, D Han Accepted to CVPR 2025, 2023 | 3 | 2023 |
| Learning to Align Multi-Camera Domains using Part-Aware Clustering for Unsupervised Video Person Re-Identification Y Kim, S Choi, T Kim, S Lee, C Kim arXiv preprint arXiv:1909.13248, 2019 | 3 | 2019 |
| ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty H Kim, H Yang, T Kim, YS Kim, JH Kim, BT Zhang arXiv preprint arXiv:2405.02568, 2024 | 2 | 2024 |
| Morphing Tokens Draw Strong Masked Image Models T Kim*, B Heo, D Han* Accepted to ICLR 2025, 2023 | 2 | 2023 |
| Learning with Unmasked Tokens Drives Stronger Vision Learners T Kim*, S Chun, B Heo, D Han* ECCV 2024, 2023 | 2* | 2023 |
Changick KimKorea Advanced Institute of Science and TechnologyПотвърден имейл адрес: kaist.ac.kr