| Learning Deconvolution Network for Semantic Segmentation H Noh, S Hong, B Han International Conference on Computer Vision (ICCV), 2015 | 2989 | 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 | 1614 | 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 | 1137 | 2015 |
| 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 | 654 | 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 | 294 | 2017 |
| Decoupled deep neural network for semi-supervised semantic segmentation S Hong, H Noh, B Han Advances in neural information processing systems, 1495-1503, 2015 | 273 | 2015 |
| Image question answering using convolutional neural network with dynamic parameter prediction H Noh, P Hongsuck Seo, B Han Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 267 | 2016 |
| Modeling and propagating cnns in a tree structure for visual tracking H Nam, M Baek, B Han arXiv preprint arXiv:1608.07242, 2016 | 252 | 2016 |
| 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 | 204 | 2008 |
| Sequential kernel density approximation through mode propagation: applications to background modeling B Han, D Comaniciu, L Davis Proc. ACCV 2004, 2004 | 196 | 2004 |
| Robust routing in wireless ad hoc networks S Lee, B Han, M Shin Parallel Processing Workshops, 2002. Proceedings. International Conference …, 2002 | 159 | 2002 |
| Density-Based Multi-Feature Background Subtraction with Support Vector Machine B Han, LS Davis Pattern Analysis and Machine Intelligence, IEEE Transactions on 34 (5), 2012 | 153 | 2012 |
| 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 | 146 | 2017 |
| Learning transferrable knowledge for semantic segmentation with deep convolutional neural network S Hong, J Oh, H Lee, B Han Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 136 | 2016 |
| On-line density-based appearance modeling for object tracking B Han, L Davis Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on 2 …, 2005 | 132 | 2005 |
| Branchout: Regularization for online ensemble tracking with convolutional neural networks B Han, J Sim, H Adam Proceedings of IEEE Conference on Computer Vision and Pattern Recognition …, 2017 | 121 | 2017 |
| Learning occlusion with likelihoods for visual tracking S Kwak, W Nam, B Han, JH Han 2011 International Conference on Computer Vision, 1551-1558, 2011 | 119 | 2011 |
| 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 | 116 | 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 | 100 | 2015 |
| Incremental density approximation and kernel-based bayesian filtering for object tracking B Han, D Comaniciu, Y Zhu, L Davis CVPR (1), 638-644, 2004 | 92 | 2004 |
Seunghoon HongAssistant Professor, KAISTBestätigte E-Mail-Adresse bei kaist.ac.kr
