| Learning multi-domain convolutional neural networks for visual tracking H Nam, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 3060 | 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 | 2115 | 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 Recognition, 2017 | 792 | 2017 |
| Modeling and propagating cnns in a tree structure for visual tracking H Nam, M Baek, B Han arXiv preprint arXiv:1608.07242, 2016 | 403 | 2016 |
| 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 | 378* | 2021 |
| 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 | 345 | 2020 |
| 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 | 257 | 2019 |
| Batch-instance normalization for adaptively style-invariant neural networks H Nam, HE Kim Advances in Neural Information Processing Systems 31, 2018 | 242 | 2018 |
| 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 | 170 | 2015 |
| Online graph-based tracking H Nam, S Hong, B Han Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 51 | 2014 |
| Intra-class contrastive learning improves computer aided diagnosis of breast cancer in mammography K You, S Lee, K Jo, E Park, T Kooi, H Nam International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Transformer-based deep neural network for breast cancer classification on digital breast tomosynthesis images W Lee, H Lee, H Lee, EK Park, H Nam, T Kooi Radiology: Artificial Intelligence 5 (3), e220159, 2023 | 6 | 2023 |
| Robust artificial intelligence-powered imaging biomarker based on mammography for risk prediction of breast cancer. EK Park, H Lee, M Kim, KH Kim, H Nam, Y Chang, S Ryu Journal of Clinical Oncology 40 (16_suppl), 10533-10533, 2022 | | 2022 |
Bohyung HanProfessor, Seoul National UniversityVerified email at snu.ac.kr
