| Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection T Kim, M Jeong, S Kim, S Choi, C Kim CVPR: Conference on Computer Vision and Pattern Recognition, 2019 | 338 | 2019 |
| Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification S Choi, S Lee, Y Kim, T Kim, C Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 323 | 2020 |
| 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 | 295 | 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 | 213 | 2019 |
| 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 | 153 | 2020 |
| 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 | 146 | 2021 |
| Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation J Choi, M Jeong, T Kim, C Kim BMVC: British Machine Vision Conference, 2019 | 114 | 2019 |
| 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 | 70 | 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 | 50 | 2023 |
| 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 | 13 | 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 | 11 | 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 Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 5 | 2021 |
| 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 |
| HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts W Kim, S Chun, T Kim, D Han, S Yun Accepted to ECCV 2024, 2024 | 1 | 2024 |
| Leveraging Temporal Contextualization for Video Action Recognition M Kim, D Han, T Kim, B Han Accepted to ECCV 2024, 2024 | 1 | 2024 |
| 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 | | 2024 |
| Morphing Tokens Draw Strong Masked Image Models T Kim, D Han, B Heo arXiv preprint arXiv:2401.00254, 2023 | | 2023 |
| Learning with Unmasked Tokens Drives Stronger Vision Learners T Kim, S Chun, B Heo, D Han Accepted to ECCV 2024, 2023 | | 2023 |
| Augmenting Sub-model to Improve Main Model B Heo, T Kim, S Yun, D Han arXiv preprint arXiv:2306.11339, 2023 | | 2023 |
| Panoramic Image-to-Image Translation S Kim, J Kim, T Kim, H Heo, S Kim, J Lee, JH Kim arXiv preprint arXiv:2304.04960, 2023 | | 2023 |
Changick KimKorea Advanced Institute of Science and TechnologyVerified email at kaist.ac.kr
