| Learning loss for active learning D Yoo, IS Kweon Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2019 | 875 | 2019 |
| Reducing domain gap by reducing style bias H Nam, HJ Lee, J Park, W Yoon, D Yoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 433 | 2021 |
| Learning a deep convolutional network for light-field image super-resolution Y Yoon, HG Jeon, D Yoo, JY Lee, I So Kweon Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 412 | 2015 |
| Pixel-Level Domain Transfer D Yoo, N Kim, S Park, AS Paek, IS Kweon Proceedings of the European Conference on Computer Vision (ECCV), 2016 | 399 | 2016 |
| Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning J Park, JY Lee, D Yoo, IS Kweon Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 254 | 2018 |
| Attentionnet: Aggregating weak directions for accurate object detection D Yoo, S Park, JY Lee, AS Paek, I So Kweon Proceedings of the IEEE International Conference on Computer Vision (ICCV …, 2015 | 236 | 2015 |
| Learning Image Representations by Completing Damaged Jigsaw Puzzles D Kim, D Cho, D Yoo, IS Kweon Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV), 2018 | 205 | 2018 |
| Light-field image super-resolution using convolutional neural network Y Yoon, HG Jeon, D Yoo, JY Lee, IS Kweon IEEE Signal Processing Letters 24 (6), 848-852, 2017 | 199 | 2017 |
| Two-phase learning for weakly supervised object localization D Kim, D Yoo, IS Kweon Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017 | 187 | 2017 |
| Multi-scale pyramid pooling for deep convolutional representation D Yoo, S Park, JY Lee, IS Kweon Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2015 | 168* | 2015 |
| Artificial intelligence–powered spatial analysis of tumor-infiltrating lymphocytes as complementary biomarker for immune checkpoint inhibition in non–small-cell lung cancer S Park, CY Ock, H Kim, S Pereira, S Park, M Ma, S Choi, S Kim, S Shin, ... Journal of Clinical Oncology 40 (17), 1916-1928, 2022 | 165 | 2022 |
| Benchmarking self-supervised learning on diverse pathology datasets M Kang, H Song, S Park, D Yoo, S Pereira Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 145 | 2023 |
| Pseudoedgenet: Nuclei segmentation only with point annotations I Yoo, D Yoo, K Paeng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 95 | 2019 |
| Reducing domain gap via style-agnostic networks H Nam, HJ Lee, J Park, W Yoon, D Yoo arXiv preprint arXiv:1910.11645 2 (7), 8, 2019 | 69 | 2019 |
| OCELOT: overlapped cell on tissue dataset for histopathology J Ryu, AV Puche, JW Shin, S Park, B Brattoli, J Lee, W Jung, SI Cho, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 42 | 2023 |
| Artificial intelligence–powered programmed death ligand 1 analyser reduces interobserver variation in tumour proportion score for non–small cell lung cancer with better … S Choi, SI Cho, M Ma, S Park, S Pereira, BJ Aum, S Shin, K Paeng, D Yoo, ... European Journal of Cancer 170, 17-26, 2022 | 36 | 2022 |
| Interactive multi-class tiny-object detection C Lee, S Park, H Song, J Ryu, S Kim, H Kim, S Pereira, D Yoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Cloud-based pathological analysis system and method HE Kim, S Hwang, P Seung-Wook, JI Lee, J Min-Hong, YOO Dong-Geun, ... US Patent App. 15/113,680, 2017 | 19 | 2017 |
| Deep learning model improves tumor-infiltrating lymphocyte evaluation and therapeutic response prediction in breast cancer S Choi, SI Cho, W Jung, T Lee, SJ Choi, S Song, G Park, S Park, M Ma, ... NPJ Breast Cancer 9 (1), 71, 2023 | 17 | 2023 |
| Learning Visual Context by Comparison M Kim, J Park, S Na, CM Park, D Yoo Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 17 | 2020 |
In So KweonKAISTVerified email at kaist.ac.kr