| Learning multi-domain convolutional neural networks for visual tracking H Nam, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1774 | 2016 |
| The visual object tracking vot2015 challenge results M Kristan, J Matas, A Leonardis, M Felsberg, L Cehovin, G Fernandez, ... Proceedings of the IEEE international conference on computer vision …, 2015 | 1269 | 2015 |
| Dual attention networks for multimodal reasoning and matching H Nam, JW Ha, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 383 | 2017 |
| Modeling and propagating cnns in a tree structure for visual tracking H Nam, M Baek, B Han arXiv preprint arXiv:1608.07242, 2016 | 284 | 2016 |
| The thermal infrared visual object tracking VOT-TIR2015 challenge results M Felsberg, A Berg, G Hager, J Ahlberg, M Kristan, J Matas, A Leonardis, ... Proceedings of the ieee international conference on computer vision …, 2015 | 105 | 2015 |
| Batch-instance normalization for adaptively style-invariant neural networks H Nam, HE Kim arXiv preprint arXiv:1805.07925, 2018 | 60 | 2018 |
| Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study HE Kim, HH Kim, BK Han, KH Kim, K Han, H Nam, EH Lee, EK Kim The Lancet Digital Health 2 (3), e138-e148, 2020 | 47 | 2020 |
| Online graph-based tracking H Nam, S Hong, B Han European Conference on Computer Vision, 112-126, 2014 | 44 | 2014 |
| Srm: A style-based recalibration module for convolutional neural networks HJ Lee, HE Kim, H Nam Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 16 | 2019 |
| Reducing domain gap via style-agnostic networks H Nam, HJ Lee, J Park, W Yoon, D Yoo arXiv preprint arXiv:1910.11645, 2019 | 3 | 2019 |
Bohyung HanAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
