| Part-aligned bilinear representations for person re-identification Y Suh, J Wang, S Tang, T Mei, KM Lee Proceedings of the European conference on computer vision (ECCV), 402-419, 2018 | 605 | 2018 |
| Learning to optimize domain specific normalization for domain generalization S Seo, Y Suh, D Kim, G Kim, J Han, B Han Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 256 | 2020 |
| Stochastic class-based hard example mining for deep metric learning Y Suh, B Han, W Kim, KM Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 149 | 2019 |
| Discrete tabu search for graph matching K Adamczewski, Y Suh, K Mu Lee Proceedings of the IEEE international conference on computer vision, 109-117, 2015 | 55 | 2015 |
| Graph matching via sequential monte carlo Y Suh, M Cho, KM Lee Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 51 | 2012 |
| Subgraph matching using compactness prior for robust feature correspondence Y Suh, K Adamczewski, K Mu Lee Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 29 | 2015 |
| On generalizing beyond domains in cross-domain continual learning C Simon, M Faraki, YH Tsai, X Yu, S Schulter, Y Suh, M Harandi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
| Controllable dynamic multi-task architectures DS Raychaudhuri, Y Suh, S Schulter, X Yu, M Faraki, AK Roy-Chowdhury, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
| Cross-Domain Similarity Learning for Face Recognition in Unseen Domains M Faraki, X Yu, YH Tsai, Y Suh, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 24 | 2021 |
| A sequential approach to 3d human pose estimation: Separation of localization and identification of body joints HY Jung, Y Suh, G Moon, KM Lee Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 16 | 2016 |
| Learning semantic segmentation from multiple datasets with label shifts D Kim, YH Tsai, Y Suh, M Faraki, S Garg, M Chandraker, B Han European Conference on Computer Vision, 20-36, 2022 | 15 | 2022 |
| Holistic planimetric prediction to local volumetric prediction for 3d human pose estimation G Moon, JY Chang, Y Suh, KM Lee arXiv preprint arXiv:1706.04758, 2017 | 13 | 2017 |
| Confidence and dispersity speak: Characterizing prediction matrix for unsupervised accuracy estimation W Deng, Y Suh, S Gould, L Zheng International Conference on Machine Learning, 7658-7674, 2023 | 7 | 2023 |
| Omnilabel: A challenging benchmark for language-based object detection S Schulter, Y Suh, KM Dafnis, Z Zhang, S Zhao, D Metaxas Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6 | 2023 |
| Face-aware person re-identification system Y Suh, X Yu, YH Tsai, M Faraki, M Chandraker US Patent App. 17/519,986, 2022 | 4 | 2022 |
| Improving Pseudo Labels for Open-Vocabulary Object Detection S Zhao, S Schulter, L Zhao, Z Zhang, Y Suh, M Chandraker, DN Metaxas arXiv preprint arXiv:2308.06412, 2023 | 2 | 2023 |
| Efficient controllable multi-task architectures A Aich, S Schulter, AK Roy-Chowdhury, M Chandraker, Y Suh Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Split to Learn: Gradient Split for Multi-Task Human Image Analysis W Deng, Y Suh, X Yu, M Faraki, L Zheng, M Chandraker Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| Multi-task learning via gradient split for rich human analysis Y Suh, X Yu, M Faraki, M Chandraker, W Deng US Patent App. 17/496,214, 2022 | 1 | 2022 |
| Single training sequence for neural network useable for multi-task scenarios Y Suh, S Schulter, X Yu, A Aich US Patent App. 18/503,313, 2024 | | 2024 |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National University在 snu.ac.kr 的电子邮件经过验证
