| Relational knowledge distillation W Park, D Kim, Y Lu, M Cho Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 2274 | 2019 |
| 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 | 692 | 2022 |
| Reweighted random walks for graph matching M Cho, J Lee, KM Lee European conference on Computer vision, 492-505, 2010 | 631 | 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 | 544 | 2020 |
| Hypercorrelation squeeze for few-shot segmentation J Min, D Kang, M Cho Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 520 | 2021 |
| 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 | 384 | 2020 |
| 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 | 368 | 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 | 332 | 2015 |
| 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 | 329 | 2021 |
| 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 | 328 | 2017 |
| 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 | 306 | 2021 |
| Fast point transformer C Park, Y Jeong, M Cho, J Park Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 288 | 2022 |
| Freeze the Discriminator: a Simple Baseline for Fine-tuning GANs S Mo, M Cho, J Shin arXiv preprint arXiv:2002.10964, 2020 | 285 | 2020 |
| Learning graphs to match M Cho, K Alahari, J Ponce Computer Vision (ICCV), 2013 IEEE International Conference on, 25-32, 2013 | 244 | 2013 |
| Hyper-graph matching via reweighted random walks J Lee, M Cho, KM Lee CVPR 2011, 1633-1640, 2011 | 239 | 2011 |
| 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 | 235 | 2017 |
| Instagan: Instance-aware image-to-image translation S Mo, M Cho, J Shin arXiv preprint arXiv:1812.10889, 2018 | 222 | 2018 |
| 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 | 198 | 2015 |
| Motionsqueeze: Neural motion feature learning for video understanding H Kwon, M Kim, S Kwak, M Cho European conference on computer vision, 345-362, 2020 | 188 | 2020 |
| 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 | 188 | 2017 |
Suha KwakPOSTECHVerified email at postech.ac.kr
