| 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 | 1613 | 2018 |
| Multiclass Spectral Clustering SX Yu, J Shi ICCV’03: Proceedings of the Ninth IEEE International Conference on Computer …, 2003 | 1158* | 2003 |
| Orthogonal Convolutional Neural Networks J Wang, Y Chen, R Chakraborty, SX Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 918 | 2020 |
| 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 | 443 | 2019 |
| Segmentation Given Partial Grouping Constraints SX Yu, J Shi IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (2), 173-183, 2004 | 330 | 2004 |
| Concurrent Object Recognition and Segmentation by Graph Partitioning SX Yu, R Gross, J Shi Advances in neural information processing systems, 1383-1390, 2002 | 167* | 2002 |
| 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 | 166 | 2018 |
| 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 | 161 | 2015 |
| 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 | 155 | 2015 |
| 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 | 133 | 2017 |
| Linear Scale and Rotation Invariant Matching H Jiang, SX Yu, DR Martin IEEE transactions on pattern analysis and machine intelligence 33 (7), 1339-1355, 2010 | 133* | 2010 |
| Grouping with Bias SX Yu, J Shi Neural Information Processing Systems, 1327-1334, 2001 | 131* | 2001 |
| 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 | 128 | 2017 |
| 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 | 125 | 2017 |
| Object-Specific Figure-Ground Segregation SX Yu, J Shi 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 116 | 2003 |
| Inferring Spatial Layout from A Single Image via Depth-Ordered Grouping SX Yu, H Zhang, J Malik In CVPR Workshop, 2008 | 89* | 2008 |
| 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 | 85 | 2018 |
| Multigrid Neural Architectures TW Ke, M Maire, SX Yu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 81* | 2017 |
| An Information-Theoretic Framework for Understanding Saccadic Eye Movements. TS Lee, SX Yu NIPS, 834-840, 1999 | 76 | 1999 |
| 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 | 71 | 2020 |
Jianbo ShiUniversity of Pennsylvania在 seas.upenn.edu 的电子邮件经过验证
