| 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 | 312 | 2019 |
| 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 | 212 | 2021 |
| 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 | 210 | 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 | 167 | 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 European Conference on Computer Vision, 562-580, 2020 | 166 | 2020 |
| 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 | 104 | 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 | 82 | 2019 |
| Few-shot semantic segmentation with cyclic memory network GS Xie, H Xiong, J Liu, Y Yao, L Shao IEEE/CVF International Conference on Computer Vision, 7293-7302, 2021 | 74 | 2021 |
| 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 | 70 | 2020 |
| PNP: Robust learning from noisy labels by probabilistic noise prediction Z Sun, F Shen, D Huang, Q Wang, X Shu, Y Yao, J Tang IEEE/CVF Conference on Computer Vision and Pattern Recognition, 5311-5320, 2022 | 69 | 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 | 63 | 2022 |
| 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 | 63 | 2021 |
| 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 | 60 | 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 | 59 | 2019 |
| 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 | 52 | 2022 |
| Fecanet: Boosting few-shot semantic segmentation with feature-enhanced context-aware network H Liu, P Peng, T Chen, Q Wang, Y Yao, XS Hua IEEE Transactions on Multimedia 25, 8580-8592, 2023 | 51 | 2023 |
| 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 | 49 | 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 | 46 | 2020 |
| 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 | 46 | 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 | 45 | 2016 |
Jian Zhang, PhDProfessor at University of Technology Sydney, Australia在 uts.edu.au 的电子邮件经过验证
