| Learning Deconvolution Network for Semantic Segmentation H Noh, S Hong, B Han International Conference on Computer Vision (ICCV), 2015 | 5884 | 2015 |
| Learning multi-domain convolutional neural networks for visual tracking H Nam, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 3288 | 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 | 2295 | 2015 |
| The Visual Object Tracking VOT2016 challenge results M Kristan | 1342* | 2016 |
| Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network S Hong, T You, S Kwak, B Han International Conference on Machine Learning (ICML), 2015 | 1084* | 2015 |
| Large scale image retrieval with attentive deep local features H Noh, A Araujo, J Sim, T Weyand, B Han Proceedings of the IEEE International Conference on Computer Vision, 3456-3465, 2017 | 1007 | 2017 |
| Domain-specific batch normalization for unsupervised domain adaptation WG Chang, T You, S Seo, S Kwak, B Han Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2019 | 553 | 2019 |
| Weakly supervised action localization by sparse temporal pooling network P Nguyen, T Liu, G Prasad, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 443 | 2018 |
| Image question answering using convolutional neural network with dynamic parameter prediction H Noh, PH Seo, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 430 | 2016 |
| Decoupled deep neural network for semi-supervised semantic segmentation S Hong, H Noh, B Han Advances in neural information processing systems, 1495-1503, 2015 | 416 | 2015 |
| Modeling and propagating cnns in a tree structure for visual tracking H Nam, M Baek, B Han arXiv preprint arXiv:1608.07242, 2016 | 412 | 2016 |
| Real-time MDNet I Jung, J Son, M Baek, B Han European Conference on Computer Vision (ECCV), 2018 | 356 | 2018 |
| Channel attention is all you need for video frame interpolation M Choi, H Kim, B Han, N Xu, KM Lee Proceedings of AAAI Conference on Artificial Intelligence, 2020 | 337 | 2020 |
| Multi-object tracking with quadruplet convolutional neural networks J Son, M Baek, M Cho, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 316 | 2017 |
| Local-global video-text interactions for temporal grounding J Mun, M Cho, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 310 | 2020 |
| Learning to optimize domain specific normalization for domain generalization S Seo, Y Suh, D Kim, J Han, B Han Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 309 | 2020 |
| Regularizing deep neural networks by noise: Its interpretation and optimization H Noh, T You, J Mun, B Han Advances in Neural Information Processing Systems (NIPS), 2017 | 255 | 2017 |
| Sequential kernel density approximation and its application to real-time visual tracking B Han, D Comaniciu, Y Zhu, LS Davis IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (7), 1186-1197, 2008 | 241 | 2008 |
| Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation M Kang, J Park, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 237 | 2022 |
| Sequential kernel density approximation through mode propagation: applications to background modeling B Han, D Comaniciu, L Davis Proc. ACCV 2004, 2004 | 236 | 2004 |
Seunghoon HongAssociate Professor, KAISTEmail verificata su kaist.ac.kr
