| A chatbot for psychiatric counseling in mental healthcare service based on emotional dialogue analysis and sentence generation KJ Oh, D Lee, B Ko, HJ Choi 2017 18th IEEE international conference on mobile data management (MDM), 371-375, 2017 | 296 | 2017 |
| Combination of multiple global descriptors for image retrieval HJ Jun, B Ko, Y Kim, I Kim, J Kim arXiv preprint arXiv:1903.10663, 2019 | 72 | 2019 |
| Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning B Ko, G Gu Computer Vision and Pattern Recognition (CVPR) 2020, 2020 | 63 | 2020 |
| Controlled dropout: A different approach to using dropout on deep neural network BS Ko, HG Kim, KJ Oh, HJ Choi 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 51 | 2017 |
| Neural network-based autonomous navigation for a homecare mobile robot BS Ko, HJ Choi, C Hong, JH Kim, OC Kwon, CD Yoo 2017 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2017 | 48 | 2017 |
| Naive semi-supervised deep learning using pseudo-label Z Li, BS Ko, HJ Choi Peer-to-peer networking and applications 12, 1358-1368, 2019 | 43 | 2019 |
| Proxy synthesis: Learning with synthetic classes for deep metric learning G Gu, B Ko, HG Kim Proceedings of the AAAI Conference on Artificial Intelligence 35 (2), 1460-1468, 2021 | 39 | 2021 |
| Towards light-weight and real-time line segment detection G Gu, B Ko, SH Go, SH Lee, J Lee, M Shin Proceedings of the AAAI Conference on Artificial Intelligence 36 (1), 726-734, 2022 | 35 | 2022 |
| Rtic: Residual learning for text and image composition using graph convolutional network M Shin, Y Cho, B Ko, G Gu arXiv preprint arXiv:2104.03015, 2021 | 34 | 2021 |
| Symmetrical Synthesis for Deep Metric Learning G Gu, B Ko The Association for the Advancement of Artificial Intelligence (AAAI) 2020, 2020 | 26 | 2020 |
| Learning with memory-based virtual classes for deep metric learning B Ko, G Gu, HG Kim Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 25 | 2021 |
| Deep hash distillation for image retrieval YK Jang, G Gu, B Ko, I Kang, NI Cho European Conference on Computer Vision, 354-371, 2022 | 22 | 2022 |
| Controlled dropout: A different dropout for improving training speed on deep neural network BS Ko, HG Kim, HJ Choi 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017 | 22 | 2017 |
| Pseudo-labeling using gaussian process for semi-supervised deep learning Z Li, BS Ko, HJ Choi 2018 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2018 | 17 | 2018 |
| Empathy bot: conversational service for psychiatric counseling with chat assistant KJ Oh, DK Lee, BS Ko, J Hyeon, HJ Choi MEDINFO 2017: Precision Healthcare through Informatics, 1235-1235, 2017 | 14 | 2017 |
| Large-scale bilingual language-image contrastive learning B Ko, G Gu arXiv preprint arXiv:2203.14463, 2022 | 13 | 2022 |
| Towards real-time and light-weight line segment detection G Gu, B Ko, S Go, SH Lee, J Lee, M Shin arXiv preprint, 2021 | 9 | 2021 |
| Dialogcc: Large-scale multi-modal dialogue dataset YJ Lee, B Ko, HG Kim, HJ Choi arXiv preprint arXiv:2212.04119, 2022 | 6 | 2022 |
| Granularity-aware adaptation for image retrieval over multiple tasks J Almazán, B Ko, G Gu, D Larlus, Y Kalantidis European Conference on Computer Vision, 389-406, 2022 | 4 | 2022 |
| An effective pipeline for a real-world clothes retrieval system YH Ji, HJ Jun, I Kim, J Kim, Y Kim, B Ko, HK Kook, J Lee, S Lee, S Park arXiv preprint arXiv:2005.12739, 2020 | 4 | 2020 |
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