| Unsupervised Feature Learning via Non-Parametric Instance Discrimination Z Wu, Y Xiong, SX Yu, D Lin Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 5165 | 2018 |
| Large-Scale Long-Tailed Recognition in An Open World Z Liu, Z Miao, X Zhan, J Wang, B Gong, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1685 | 2019 |
| Multiclass Spectral Clustering SX Yu, J Shi Proceedings Ninth IEEE International Conference on Computer Vision 2, 313-319, 2003 | 1385 | 2003 |
| Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts X Wang, L Lian, Z Miao, Z Liu, SX Yu International Conference on Learning Representations, 2021 | 590 | 2021 |
| Segmentation Given Partial Grouping Constraints SX Yu, J Shi IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2), 173-183, 2004 | 354 | 2004 |
| Cut and Learn for Unsupervised Object Detection and Instance Segmentation X Wang, R Girdhar, SX Yu, I Misra arXiv preprint arXiv:2301.11320, 2023 | 320 | 2023 |
| Orthogonal Convolutional Neural Networks J Wang, Y Chen, R Chakraborty, SX Yu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 294 | 2020 |
| Better than Real: Complex-Valued Neural Nets for MRI Fingerprinting P Virtue, SX Yu, M Lustig 2017 IEEE international conference on image processing (ICIP), 3953-3957, 2017 | 256 | 2017 |
| Adaptive Affinity Fields for Semantic Segmentation TW Ke, JJ Hwang, Z Liu, SX Yu Proceedings of the European conference on computer vision (ECCV), 587-602, 2018 | 251 | 2018 |
| Learning Non-Lambertian Object Intrinsics across ShapeNet Categories J Shi, Y Dong, H Su, SX Yu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 237 | 2017 |
| Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression T Narihira, M Maire, SX Yu Proceedings of the IEEE international conference on computer vision, 2992-2992, 2015 | 219 | 2015 |
| FlowWeb: Joint Image Set Alignment by Weaving Consistent, Pixel-wise Correspondences T Zhou, Y Jae Lee, SX Yu, AA Efros Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 188 | 2015 |
| Convolutional Random Walk Networks for Semantic Image Segmentation G Bertasius, L Torresani, SX Yu, J Shi Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 184 | 2017 |
| Concurrent Object Recognition and Segmentation by Graph Partitioning SX Yu, R Gross, J Shi Neural information processing systems 1, 2002 | 178* | 2002 |
| SegSort: Segmentation by Discriminative Sorting of Segments JJ Hwang, SX Yu, J Shi, MD Collins, TJ Yang, X Zhang, LC Chen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 174 | 2019 |
| Debiased Learning from Naturally Imbalanced Pseudo-Labels X Wang, Z Wu, L Lian, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 171 | 2022 |
| Insights and Approaches Using Deep Learning to Classify Wildlife Z Miao, KM Gaynor, J Wang, Z Liu, O Muellerklein, MS Norouzzadeh, ... Scientific reports 9 (1), 1-9, 2019 | 171 | 2019 |
| Open Compound Domain Adaptation Z Liu, Z Miao, X Pan, X Zhan, D Lin, SX Yu, B Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 168 | 2020 |
| Improving Generalization via Scalable Neighborhood Component Analysis Z Wu, AA Efros, SX Yu Proceedings of the European Conference on Computer Vision (ECCV), 685-701, 2018 | 164 | 2018 |
| Grouping with Bias SX Yu, J Shi Advances in Neural Information Processing Systems, 1327-1334, 2001 | 142* | 2001 |
Jianbo ShiUniversity of PennsylvaniaVerified email at seas.upenn.edu
