| Learning Deep Graph Matching via Channel-Independent Embedding and Hungarian Attention T Yu, R Wang, JY Yan, B Li ICLR, 2020 | 99 | 2020 |
| Generalizing graph matching beyond quadratic assignment model T Yu, J Yan, Y Wang, W Liu Advances in neural information processing systems 31, 2018 | 51 | 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 | 43 | 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 | 41 | 2021 |
| Scene parsing using graph matching on street-view data T Yu, R Wang Computer Vision and Image Understanding 145, 70-80, 2016 | 34 | 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 | 28 | 2015 |
| Deep latent graph matching T Yu, R Wang, J Yan, B Li International Conference on Machine Learning, 12187-12197, 2021 | 22 | 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 | 21 | 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 | 19 | 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 | 14 | 2024 |
| 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 | 11 | 2023 |
| 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 | 11 | 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 | 10 | 2020 |
| Weakly supervised attention learning for textual phrases grounding Z Fang, S Kong, T Yu, Y Yang arXiv preprint arXiv:1805.00545, 2018 | 10 | 2018 |
| Graph matching with low-rank regularization T Yu, R Wang 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016 | 6 | 2016 |
| Efficient training of multi-task neural solver with multi-armed bandits C Wang, T Yu arXiv preprint arXiv:2305.06361, 2023 | 5 | 2023 |
| 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 | 5 | 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 | 5 | 2012 |
| Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient T Yu, Y Li, B Li ICLR, 2020 | 3 | 2020 |
| Recognizing video events with varying rhythms Y Li, T Yu, B Li arXiv preprint arXiv:2001.05060, 2020 | 3 | 2020 |
Baoxin LiArizona State University在 asu.edu 的电子邮件经过验证
