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 | 542 | 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 | 225 | 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 | 177 | 2019 |
Webcaricature: a benchmark for caricature recognition J Huo, W Li, Y Shi, Y Gao, H Yin arXiv preprint arXiv:1703.03230, 2017 | 83 | 2017 |
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 | 71 | 2018 |
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 | 69 | 2020 |
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 | 65 | 2021 |
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 | 56 | 2021 |
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 | 55 | 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 | 53 | 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 | 45 | 2021 |
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 | 45 | 2017 |
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 | 42 | 2023 |
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 | 40 | 2020 |
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 |
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 | 36 | 2014 |
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 |
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 | 28 | 2021 |
MetricUNet: Synergistic image-and voxel-level learning for precise prostate segmentation via online sampling K He, C Lian, E Adeli, J Huo, Y Gao, B Zhang, J Zhang, D Shen Medical image analysis 71, 102039, 2021 | 25 | 2021 |
OPML: A one-pass closed-form solution for online metric learning W Li, Y Gao, L Wang, L Zhou, J Huo, Y Shi Pattern Recognition 75, 302-314, 2018 | 23 | 2018 |