| Relational knowledge distillation W Park, D Kim, Y Lu, M Cho Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1660 | 2019 |
| Reweighted random walks for graph matching M Cho, J Lee, KM Lee Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 602 | 2010 |
| 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 | 443 | 2020 |
| Contextlocnet: Context-aware deep network models for weakly supervised localization V Kantorov, M Oquab, M Cho, I Laptev Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 363 | 2016 |
| Hypercorrelation squeeze for few-shot segmentation J Min, D Kang, M Cho Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 352 | 2021 |
| 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 | 320 | 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 | 308 | 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 | 289 | 2020 |
| Freeze the Discriminator: a Simple Baseline for Fine-tuning GANs S Mo, M Cho, J Shin arXiv preprint arXiv:2002.10964, 2020 | 250 | 2020 |
| Relational embedding for few-shot classification D Kang, H Kwon, J Min, M Cho Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021 | 241 | 2021 |
| Hyper-graph matching via reweighted random walks J Lee, M Cho, KM Lee CVPR 2011, 1633-1640, 2011 | 230 | 2011 |
| Self-calibrating neural radiance fields Y Jeong, S Ahn, C Choy, A Anandkumar, M Cho, J Park Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 225 | 2021 |
| Learning graphs to match M Cho, K Alahari, J Ponce Computer Vision (ICCV), 2013 IEEE International Conference on, 25-32, 2013 | 221 | 2013 |
| Autoregressive image generation using residual quantization D Lee, C Kim, S Kim, M Cho, WS Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 220 | 2022 |
| Instagan: Instance-aware image-to-image translation S Mo, M Cho, J Shin arXiv preprint arXiv:1812.10889, 2018 | 210 | 2018 |
| 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 | 205 | 2017 |
| Fast point transformer C Park, Y Jeong, M Cho, J Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 187 | 2022 |
| 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 | 187 | 2015 |
| 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 | 170 | 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 | 168 | 2012 |
Suha KwakPOSTECHVerified email at postech.ac.kr