| Discriminative dimensionality reduction for multi-dimensional sequences B Su, X Ding, H Wang, Y Wu IEEE transactions on pattern analysis and machine intelligence 40 (1), 77-91, 2017 | 50 | 2017 |
| Order-preserving wasserstein distance for sequence matching B Su, G Hua Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 47 | 2017 |
| Online joint multi-metric adaptation from frequent sharing-subset mining for person re-identification J Zhou, B Su, Y Wu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 43 | 2020 |
| Linear sequence discriminant analysis: a model-based dimensionality reduction method for vector sequences B Su, X Ding Proceedings of the IEEE International Conference on Computer Vision, 889-896, 2013 | 34 | 2013 |
| Heteroscedastic max-min distance analysis B Su, X Ding, C Liu, Y Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 30 | 2015 |
| Order-preserving optimal transport for distances between sequences B Su, G Hua IEEE transactions on pattern analysis and machine intelligence 41 (12), 2961 …, 2018 | 28 | 2018 |
| Hierarchical dynamic parsing and encoding for action recognition B Su, J Zhou, X Ding, H Wang, Y Wu Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 27 | 2016 |
| Unsupervised hierarchical dynamic parsing and encoding for action recognition B Su, J Zhou, X Ding, Y Wu IEEE Transactions on Image Processing 26 (12), 5784-5799, 2017 | 22 | 2017 |
| A novel baseline-independent feature set for arabic handwriting recognition B Su, X Ding, L Peng, C Liu 2013 12th International Conference on Document Analysis and Recognition …, 2013 | 20 | 2013 |
| Easy identification from better constraints: Multi-shot person re-identification from reference constraints J Zhou, B Su, Y Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 17 | 2018 |
| Learning distance for sequences by learning a ground metric B Su, Y Wu International Conference on Machine Learning, 6015-6025, 2019 | 15 | 2019 |
| Discriminative transformation for multi-dimensional temporal sequences B Su, X Ding, C Liu, H Wang, Y Wu IEEE Transactions on Image Processing 26 (7), 3579-3593, 2017 | 12 | 2017 |
| Learning low-dimensional temporal representations B Su, Y Wu International Conference on Machine Learning, 4761-4770, 2018 | 10 | 2018 |
| Spatiotemporal pyramid pooling in 3D convolutional neural networks for action recognition C Cheng, P Lv, B Su 2018 25th IEEE international conference on image processing (ICIP), 3468-3472, 2018 | 8 | 2018 |
| Order-preserving wasserstein discriminant analysis B Su, J Zhou, Y Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 7 | 2019 |
| Semmae: Semantic-guided masking for learning masked autoencoders G Li, H Zheng, D Liu, C Wang, B Su, C Zheng arXiv preprint arXiv:2206.10207, 2022 | 6 | 2022 |
| Heteroscedastic Max–Min distance analysis for dimensionality reduction B Su, X Ding, C Liu, Y Wu IEEE Transactions on Image Processing 27 (8), 4052-4065, 2018 | 6 | 2018 |
| Learning low-dimensional temporal representations with latent alignments B Su, Y Wu IEEE transactions on pattern analysis and machine intelligence 42 (11), 2842 …, 2019 | 5 | 2019 |
| Metaug: Contrastive learning via meta feature augmentation J Li, W Qiang, C Zheng, B Su, H Xiong International Conference on Machine Learning, 12964-12978, 2022 | 4 | 2022 |
| Temporal alignment prediction for supervised representation learning and few-shot sequence classification B Su, JR Wen International Conference on Learning Representations, 2022 | 4 | 2022 |
Ying WuProfessor of Electrical and Computer Engineering, Northwestern University在 northwestern.edu 的电子邮件经过验证
