| Reweighted random walks for graph matching M Cho, J Lee, KM Lee European conference on Computer vision, 492-505, 2010 | 482 | 2010 |
| Relational knowledge distillation W Park, D Kim, Y Lu, M Cho Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 473 | 2019 |
| Contextlocnet: Context-aware deep network models for weakly supervised localization V Kantorov, M Oquab, M Cho, I Laptev European conference on computer vision, 350-365, 2016 | 273 | 2016 |
| Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals M Cho, S Kwak, C Schmid, J Ponce Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 243 | 2015 |
| 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 | 236 | 2017 |
| Hyper-graph matching via reweighted random walks J Lee, M Cho, KM Lee CVPR 2011, 1633-1640, 2011 | 205 | 2011 |
| Learning graphs to match M Cho, K Alahari, J Ponce Computer Vision (ICCV), 2013 IEEE International Conference on, 25-32, 2013 | 175 | 2013 |
| Feature correspondence and deformable object matching via agglomerative correspondence clustering M Cho, J Lee, KM Lee Computer Vision, 2009 IEEE 12th International Conference on, 1280-1287, 2009 | 159 | 2009 |
| Progressive graph matching: Making a move of graphs via probabilistic voting M Cho, KM Lee 2012 IEEE Conference on Computer Vision and Pattern Recognition, 398-405, 2012 | 154 | 2012 |
| Multi-graph matching via affinity optimization with graduated consistency regularization J Yan, M Cho, H Zha, X Yang, SM Chu IEEE transactions on pattern analysis and machine intelligence 38 (6), 1228-1242, 2015 | 151 | 2015 |
| Instagan: Instance-aware image-to-image translation S Mo, M Cho, J Shin arXiv preprint arXiv:1812.10889, 2018 | 146 | 2018 |
| Proxy anchor loss for deep metric learning S Kim, D Kim, M Cho, S Kwak Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 139 | 2020 |
| Robust Image Filtering Using Joint Static and Dynamic Guidance B Ham, M Cho, J Ponce Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on 10 …, 2015 | 136 | 2015 |
| Proposal flow B Ham, M Cho, C Schmid, J Ponce Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 127 | 2016 |
| Finding matches in a haystack: A max-pooling strategy for graph matching in the presence of outliers M Cho, J Sun, O Duchenne, J Ponce Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 123 | 2014 |
| Robust guided image filtering using nonconvex potentials B Ham, M Cho, J Ponce IEEE transactions on pattern analysis and machine intelligence 40 (1), 192-207, 2017 | 122 | 2017 |
| Unsupervised object discovery and tracking in video collections S Kwak, M Cho, I Laptev, J Ponce, C Schmid Proceedings of the IEEE international conference on computer vision, 3173-3181, 2015 | 120 | 2015 |
| Scnet: Learning semantic correspondence K Han, RS Rezende, B Ham, KYK Wong, M Cho, C Schmid, J Ponce Proceedings of the IEEE international conference on computer vision, 1831-1840, 2017 | 109 | 2017 |
| Text-guided attention model for image captioning J Mun, M Cho, B Han Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 81 | 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 | 80 | 2020 |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
