| Revisiting local descriptor based image-to-class measure for few-shot learning W Li, L Wang, J Xu, J Huo, Y Gao, J Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 661 | 2019 |
| Distribution consistency based covariance metric networks for few-shot learning W Li, J Xu, J Huo, L Wang, Y Gao, J Luo Proceedings of the AAAI conference on artificial intelligence 33 (01), 8642-8649, 2019 | 264 | 2019 |
| A novel unsupervised camera-aware domain adaptation framework for person re-identification L Qi, L Wang, J Huo, L Zhou, Y Shi, Y Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 185 | 2019 |
| Webcaricature: a benchmark for caricature recognition J Huo, W Li, Y Shi, Y Gao, H Yin arXiv preprint arXiv:1703.03230, 2017 | 89 | 2017 |
| Local descriptor-based multi-prototype network for few-shot learning H Huang, Z Wu, W Li, J Huo, Y Gao Pattern Recognition 116, 107935, 2021 | 88 | 2021 |
| Asymmetric distribution measure for few-shot learning W Li, L Wang, J Huo, Y Shi, Y Gao, J Luo arXiv preprint arXiv:2002.00153, 2020 | 84 | 2020 |
| Learning task-aware local representations for few-shot learning C Dong, W Li, J Huo, Z Gu, Y Gao Proceedings of the twenty-ninth international conference on international …, 2021 | 79 | 2021 |
| Libfewshot: A comprehensive library for few-shot learning W Li, Z Wang, X Yang, C Dong, P Tian, T Qin, J Huo, Y Shi, L Wang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 77 | 2023 |
| Maskreid: A mask based deep ranking neural network for person re-identification L Qi, J Huo, L Wang, Y Shi, Y Gao arXiv preprint arXiv:1804.03864, 2018 | 77 | 2018 |
| Lofgan: Fusing local representations for few-shot image generation Z Gu, W Li, J Huo, L Wang, Y Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 74 | 2021 |
| Progressive cross-camera soft-label learning for semi-supervised person re-identification L Qi, L Wang, J Huo, Y Shi, Y Gao IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2815-2829, 2020 | 62 | 2020 |
| Manifold alignment for semantically aligned style transfer J Huo, S Jin, W Li, J Wu, YK Lai, Y Shi, Y Gao Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 56 | 2021 |
| Carigan: Caricature generation through weakly paired adversarial learning W Li, W Xiong, H Liao, J Huo, Y Gao, J Luo Neural Networks 132, 66-74, 2020 | 49 | 2020 |
| Heterogeneous face recognition by margin-based cross-modality metric learning J Huo, Y Gao, Y Shi, W Yang, H Yin IEEE transactions on cybernetics 48 (6), 1814-1826, 2017 | 48 | 2017 |
| Adversarial camera alignment network for unsupervised cross-camera person re-identification L Qi, L Wang, J Huo, Y Shi, X Geng, Y Gao IEEE Transactions on Circuits and Systems for Video Technology 32 (5), 2921-2936, 2021 | 38 | 2021 |
| Multi-instance dictionary learning for detecting abnormal events in surveillance videos J Huo, Y Gao, W Yang, H Yin International journal of neural systems 24 (03), 1430010, 2014 | 37 | 2014 |
| Cross-modal metric learning for AUC optimization J Huo, Y Gao, Y Shi, H Yin IEEE transactions on neural networks and learning systems 29 (10), 4844-4856, 2018 | 36 | 2018 |
| Global-and local-aware feature augmentation with semantic orthogonality for few-shot image classification B Shi, W Li, J Huo, P Zhu, L Wang, Y Gao Pattern Recognition 142, 109702, 2023 | 33 | 2023 |
| Modeling inter-class and intra-class constraints in novel class discovery W Li, Z Fan, J Huo, Y Gao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 32 | 2023 |
| Abnormal event detection via multi-instance dictionary learning J Huo, Y Gao, W Yang, H Yin Intelligent Data Engineering and Automated Learning-IDEAL 2012: 13th …, 2012 | 30 | 2012 |
Yang GaoNanjing University, ChinaVerified email at nju.edu.cn