| Attentive Region Embedding Network for Zero-shot Learning GS Xie, L Liu, XB Jin, F Zhu, Z Zhang, J Qin, Y Yao, L Shao IEEE International Conference on Computer Vision and Pattern Recognition …, 2019 | 296 | 2019 |
| Motion-Attentive Transition for Zero-Shot Video Object Segmentation T Zhou, S Wang, Y Zhou, Y Yao, J Li, L Shao AAAI Conference on Artificial Intelligence, 13066-13073, 2020 | 196 | 2020 |
| Non-salient Region Object Mining for Weakly Supervised Semantic Segmentation Y Yao, T Chen, GS Xie, C Zhang, F Shen, Q Wu, Z Tang, J Zhang IEEE Conference on Computer Vision and Pattern Recognition, 2623-2632, 2021 | 194 | 2021 |
| Region graph embedding network for zero-shot learning GS Xie, L Liu, F Zhu, F Zhao, Z Zhang, Y Yao, J Qin, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 155 | 2020 |
| Jo-SRC: A Contrastive Approach for Combating Noisy Labels Y Yao, Z Sun, C Zhang, F Shen, Q Wu, J Zhang, Z Tang IEEE Conference on Computer Vision and Pattern Recognition, 5192-5201, 2021 | 151 | 2021 |
| Exploiting Web Images for Dataset Construction: A Domain Robust Approach Y Yao, J Zhang, F Shen, XS Hua, J Xu, Z Tang IEEE Transactions on Multimedia 19 (8), 1771-1784, 2017 | 100 | 2017 |
| Towards Automatic Construction of Diverse, High-quality Image Dataset Y Yao, J Zhang, F Shen, L Liu, F Zhu, D Zhang, HT Shen IEEE Transactions on Knowledge and Data Engineering 32 (6), 1199-1211, 2019 | 80 | 2019 |
| Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification C Zhang, Y Yao, H Liu, G Xie, X Shu, T Zhou, Z Zhang, F Shen, Z Tang AAAI Conference on Artificial Intelligence, 12781-12788, 2020 | 67 | 2020 |
| Few-shot semantic segmentation with cyclic memory network GS Xie, H Xiong, J Liu, Y Yao, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 66 | 2021 |
| Extracting Privileged Information for Enhancing Classifier Learning Y Yao, F Shen, J Zhang, L Liu, Z Tang, L Shao IEEE Transactions on Image Processing 28 (1), 436-450, 2019 | 57 | 2019 |
| Webly supervised fine-grained recognition: Benchmark datasets and an approach Z Sun, Y Yao, XS Wei, Y Zhang, F Shen, J Wu, J Zhang, HT Shen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 56 | 2021 |
| PNP: Robust learning from noisy labels by probabilistic noise prediction Z Sun, F Shen, D Huang, Q Wang, X Shu, Y Yao, J Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
| Hierarchical feature alignment network for unsupervised video object segmentation G Pei, F Shen, Y Yao, GS Xie, Z Tang, J Tang European Conference on Computer Vision, 596-613, 2022 | 52 | 2022 |
| Self-supervised multi-modal hybrid fusion network for brain tumor segmentation F Fang, Y Yao, T Zhou, G Xie, J Lu IEEE Journal of Biomedical and Health Informatics 26 (11), 5310-5320, 2021 | 49 | 2021 |
| Clustering-driven unsupervised deep hashing for image retrieval Y Gu, S Wang, H Zhang, Y Yao, W Yang, L Liu Neurocomputing 368, 114-123, 2019 | 44 | 2019 |
| A Domain Robust Approach For Image Dataset Construction Y Yao, XS Hua, F Shen, J Zhang, Z Tang ACM International Conference on Multimedia, 212-216, 2016 | 44 | 2016 |
| Saliency guided inter-and intra-class relation constraints for weakly supervised semantic segmentation T Chen, Y Yao, L Zhang, Q Wang, GS Xie, F Shen IEEE Transactions on Multimedia 25, 1727-1737, 2022 | 43 | 2022 |
| Extracting Multiple Visual Senses for Web Learning Y Yao, F Shen, J Zhang, L Liu, Z Tang, L Shao IEEE Transactions on Multimedia 21 (1), 184-196, 2019 | 43 | 2019 |
| Semantically meaningful class prototype learning for one-shot image segmentation T Chen, GS Xie, Y Yao, Q Wang, F Shen, Z Tang, J Zhang IEEE Transactions on Multimedia 24, 968-980, 2021 | 41 | 2021 |
| CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning Z Sun, XS Hua, Y Yao, X Wei, G Hu, J Zhang ACM International Conference on Multimedia, 92-101, 2020 | 41 | 2020 |
Jian Zhang, PhDProfessor at University of Technology Sydney, Australia在 uts.edu.au 的电子邮件经过验证
