Tianshu Yu
Tianshu Yu
The Chinese University of Hong Kong, Shenzhen
Verified email at - Homepage
Cited by
Cited by
Learning Deep Graph Matching via Channel-Independent Embedding and Hungarian Attention
T Yu, R Wang, JY Yan, B Li
ICLR, 2020
Generalizing graph matching beyond quadratic assignment model
T Yu, J Yan, Y Wang, W Liu
Advances in neural information processing systems 31, 2018
Image region duplication detection based on circular window expansion and phase correlation
H Shao, T Yu, M Xu, W Cui
Forensic science international 222 (1-3), 71-82, 2012
Combinatorial learning of graph edit distance via dynamic embedding
R Wang, T Zhang, T Yu, J Yan, X Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Scene parsing using graph matching on street-view data
T Yu, R Wang
Computer Vision and Image Understanding 145, 70-80, 2016
Face recognition based on subset selection via metric learning on manifold
H Shao, S Chen, J Zhao, W Cui, T Yu
Frontiers of Information Technology & Electronic Engineering 16, 1046-1058, 2015
Deep latent graph matching
T Yu, R Wang, J Yan, B Li
International Conference on Machine Learning, 12187-12197, 2021
Incremental multi-graph matching via diversity and randomness based graph clustering
T Yu, J Yan, W Liu, B Li
Proceedings of the European Conference on Computer Vision (ECCV), 139-154, 2018
Joint cuts and matching of partitions in one graph
T Yu, J Yan, J Zhao, B Li
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Asp: Learn a universal neural solver!
C Wang, Z Yu, S McAleer, T Yu, Y Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Determinant regularization for gradient-efficient graph matching
T Yu, J Yan, B Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Rhyrnn: Rhythmic rnn for recognizing events in long and complex videos
T Yu, Y Li, B Li
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Weakly supervised attention learning for textual phrases grounding
Z Fang, S Kong, T Yu, Y Yang
arXiv preprint arXiv:1805.00545, 2018
Learning language-guided adaptive hyper-modality representation for multimodal sentiment analysis
H Zhang, Y Wang, G Yin, K Liu, Y Liu, T Yu
arXiv preprint arXiv:2310.05804, 2023
Graph matching with low-rank regularization
T Yu, R Wang
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
Enhancing scene parsing by transferring structures via efficient low-rank graph matching
T Yu, R Wang
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances …, 2016
Ribs segmentation based on image fusion and wavelet de-noising
W Cui, T Yu, L Ren, H Shao
2012 5th International Conference on BioMedical Engineering and Informatics …, 2012
Efficient training of multi-task neural solver with multi-armed bandits
C Wang, T Yu
arXiv preprint arXiv:2305.06361, 2023
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient
T Yu, Y Li, B Li
ICLR, 2020
Recognizing video events with varying rhythms
Y Li, T Yu, B Li
arXiv preprint arXiv:2001.05060, 2020
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