| Attentive region embedding network for zero-shot learning GS Xie, L Liu, X Jin, F Zhu, Z Zhang, J Qin, Y Yao, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 228 | 2019 |
| Zero-shot action recognition with error-correcting output codes J Qin, L Liu, L Shao, F Shen, B Ni, J Chen, Y Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 145 | 2017 |
| Jointly learning structured analysis discriminative dictionary and analysis multiclass classifier Z Zhang, W Jiang, J Qin, L Zhang, F Li, M Zhang, S Yan IEEE transactions on neural networks and learning systems 29 (8), 3798-3814, 2017 | 138 | 2017 |
| stagnet: An attentive semantic rnn for group activity recognition M Qi, J Qin, A Li, Y Wang, J Luo, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV), 101-117, 2018 | 118 | 2018 |
| 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 | 109 | 2020 |
| Discriminative fisher embedding dictionary learning algorithm for object recognition Z Li, Z Zhang, J Qin, Z Zhang, L Shao IEEE transactions on neural networks and learning systems 31 (3), 786-800, 2019 | 107 | 2019 |
| Learning multi-granular hypergraphs for video-based person re-identification Y Yan, J Qin, J Chen, L Liu, F Zhu, Y Tai, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 101 | 2020 |
| Zero-VAE-GAN: Generating unseen features for generalized and transductive zero-shot learning R Gao, X Hou, J Qin, J Chen, L Liu, F Zhu, Z Zhang, L Shao IEEE Transactions on Image Processing 29, 3665-3680, 2020 | 100 | 2020 |
| TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights D Wan, F Shen, L Liu, F Zhu, J Qin, L Shao, HT Shen Proceedings of the European Conference on Computer Vision (ECCV), 2018 | 100 | 2018 |
| Semi-supervised local multi-manifold isomap by linear embedding for feature extraction Y Zhang, Z Zhang, J Qin, L Zhang, B Li, F Li Pattern Recognition 76, 662-678, 2018 | 97 | 2018 |
| Multi-stream deep networks for person to person violence detection in videos Z Dong, J Qin, Y Wang Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016 | 89 | 2016 |
| Auto-encoding twin-bottleneck hashing Y Shen, J Qin, J Chen, M Yu, L Liu, F Zhu, F Shen, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 88 | 2020 |
| Fast Person Re-identification via Cross-camera Semantic Binary Transformation J Chen, Y Wang, J Qin, L Liu, L Shao Proc. CVPR, 2017 | 85 | 2017 |
| StagNet: An attentive semantic RNN for group activity and individual action recognition M Qi, Y Wang, J Qin, A Li, J Luo, L Van Gool IEEE Transactions on Circuits and Systems for Video Technology 30 (2), 549-565, 2019 | 77 | 2019 |
| Invertible zero-shot recognition flows Y Shen, J Qin, L Huang, L Liu, F Zhu, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 76 | 2020 |
| Anchor-free person search Y Yan, J Li, J Qin, S Bai, S Liao, L Liu, F Zhu, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 67 | 2021 |
| Normalization techniques in training dnns: Methodology, analysis and application L Huang, J Qin, Y Zhou, F Zhu, L Liu, L Shao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 64 | 2023 |
| Partial is better than all: revisiting fine-tuning strategy for few-shot learning Z Shen, Z Liu, J Qin, M Savvides, KT Cheng Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9594-9602, 2021 | 58 | 2021 |
| Scalable block-diagonal locality-constrained projective dictionary learning Z Zhang, W Jiang, Z Zhang, S Li, G Liu, J Qin 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019 | 56 | 2019 |
| Robust adaptive embedded label propagation with weight learning for inductive classification Z Zhang, F Li, L Jia, J Qin, L Zhang, S Yan IEEE transactions on neural networks and learning systems 29 (8), 3388-3403, 2017 | 53 | 2017 |
Ling Shao, Fellow of IEEE/IAPRAI Enthusiast在 inceptioniai.org 的电子邮件经过验证
