| 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 | 165 | 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 | 87 | 2020 |
| 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 | 71 | 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 | 65 | 2017 |
| 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 | 52 | 2021 |
| 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 | 48 | 2019 |
| 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 | 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 | 36 | 2016 |
| 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 | 35 | 2020 |
| Automatic image dataset construction with multiple textual metadata Y Yao, J Zhang, F Shen, XS Hua, J Xu, Z Tang IEEE International Conference on Multimedia and Expo, 1-6, 2016 | 33 | 2016 |
| 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 | 32 | 2019 |
| Collaborative representation based local discriminant projection for feature extraction P Huang, T Li, G Gao, Y Yao, G Yang Digital Signal Processing 76, 84-93, 2018 | 30 | 2018 |
| 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 | 27 | 2019 |
| Exploiting Web Images for Multi-output Classification: From Category to Subcategories Y Yao, F Shen, G Xie, L Liu, F Zhu, J Zhang, H Shen IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2348-2360, 2020 | 26 | 2020 |
| SegEQA: Video Segmentation based Visual Attention for Embodied Question Answering H Luo, G Lin, Z Liu, F Liu, Z Tang, Y Yao IEEE International Conference on Computer Vision, 9667-9676, 2019 | 24 | 2019 |
| Discovering and Distinguishing Multiple Visual Senses for Polysemous Words Y Yao, J Zhang, F Shen, W Yang, P Huang, Z Tang AAAI Conference on Artificial Intelligence, 523-530, 2018 | 24 | 2018 |
| 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 | 23 | 2021 |
| A new web-supervised method for image dataset constructions Y Yao, J Zhang, F Shen, X Hua, J Xu, Z Tang Neurocomputing 236, 23–31, 2017 | 22 | 2017 |
| 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 | 18 | 2020 |
| Extracting Privileged Information from Untagged Corpora for Classifier Learning Y Yao, J Zhang, F Shen, W Yang, X Hua, Z Tang International Joint Conference on Artificial Intelligence, 1085-1091, 2018 | 18 | 2018 |
Jian Zhang, PhDProfessor at University of Technology Sydney, AustraliaVerified email at uts.edu.au
