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Bing Su
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年份
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
502017
Order-preserving wasserstein distance for sequence matching
B Su, G Hua
Proceedings of the IEEE conference on computer vision and pattern …, 2017
472017
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
432020
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
342013
Heteroscedastic max-min distance analysis
B Su, X Ding, C Liu, Y Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
302015
Order-preserving optimal transport for distances between sequences
B Su, G Hua
IEEE transactions on pattern analysis and machine intelligence 41 (12), 2961 …, 2018
282018
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
272016
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
222017
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
202013
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
172018
Learning distance for sequences by learning a ground metric
B Su, Y Wu
International Conference on Machine Learning, 6015-6025, 2019
152019
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
122017
Learning low-dimensional temporal representations
B Su, Y Wu
International Conference on Machine Learning, 4761-4770, 2018
102018
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
82018
Order-preserving wasserstein discriminant analysis
B Su, J Zhou, Y Wu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
72019
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
62022
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
62018
Learning low-dimensional temporal representations with latent alignments
B Su, Y Wu
IEEE transactions on pattern analysis and machine intelligence 42 (11), 2842 …, 2019
52019
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
42022
Temporal alignment prediction for supervised representation learning and few-shot sequence classification
B Su, JR Wen
International Conference on Learning Representations, 2022
42022
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