| Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning W Li, L Wang, J Xu, J Huo, Y Gao, J Luo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 2019 | 111 | 2019 |
| Distribution Consistency based Covariance Metric Networks for Few-shot Learning W Li, J Xu, J Huo, L Wang, Y Gao, J Luo AAAI Conference on Artificial Intelligence (AAAI 2019), 2019 | 40 | 2019 |
| WebCaricature: a benchmark for caricature face recognition J Huo, W Li, Y Shi, Y Gao, H Yin British Machine Vision Conference (BMVC 2018), 2018 | 36* | 2018 |
| 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 (PR 2018) 75, 302-314, 2018 | 16 | 2018 |
| 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 | 15 | 2020 |
| Online Deep Metric Learning W Li, J Huo, Y Shi, Y Gao, L Wang, J Luo arXiv preprint arXiv:1805.05510, 2018 | 11 | 2018 |
| A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images M Ma, Y Shi, W Li, Y Gao, J Xu International Conference on Pattern Recognition (ICPR 2018), 3892-3897, 2018 | 9 | 2018 |
| Beyond IId: Learning to combine non-iid metrics for vision tasks Y Shi, W Li, Y Gao, L Cao, D Shen AAAI Conference on Artificial Intelligence (AAAI 2017), 2017 | 8 | 2017 |
| Unsupervised few-shot learning via distribution shift-based augmentation T Qin, W Li, Y Shi, Y Gao arXiv preprint arXiv:2004.05805, 2020 | 5 | 2020 |
| Robust neighborhood embedding for unsupervised feature selection Y Liu, D Ye, W Li, H Wang, Y Gao Knowledge-based systems 193, 105462, 2020 | 5 | 2020 |
| Deep Embedded Complementary and Interactive Information for Multi-view Classification J Xu, W Li, X Liu, D Zhang, J Liu, J Han AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 3 | 2020 |
| Interactive image segmentation via cascaded metric learning W Li, Y Shi, W Yang, H Wang, Y Gao IEEE International Conference on Image Processing (ICIP 2015), 2900-2904, 2015 | 3 | 2015 |
| Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification W Zhu, H Liao, W Li, W Li, J Luo MICCAI 2020, 2020 | 2 | 2020 |
| A Joint Local and Global Deep Metric Learning Method for Caricature Recognition W Li, J Huo, Y Shi, Y Gao, L Wang, J Luo Asian Conference on Computer Vision (ACCV 2018), 2018 | 2 | 2018 |
| Temperature network for few-shot learning with distribution-aware large-margin metric W Zhu, W Li, H Liao, J Luo Pattern Recognition 112, 107797, 2021 | 1 | 2021 |
| Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio X Liu, W Li, J Huo, L Yao, Y Gao AAAI Conference on Artificial Intelligence (AAAI 2020), 2020 | 1 | 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 | | 2021 |
| Progressive Point To Set Metric Learning For Semi-Supervised Few-Shot Classification P Zhu, M Gu, W Li, C Zhang, Q Hu 2020 IEEE International Conference on Image Processing (ICIP), 196-200, 2020 | | 2020 |
| Manifold Alignment for Semantically Aligned Style Transfer J Huo, S Jin, W Li, J Wu, YK Lai, Y Shi, Y Gao arXiv preprint arXiv:2005.10777, 2020 | | 2020 |
| Asymmetric Distribution Measure for Few-shot Learning W Li, L Wang, J Huo, Y Shi, Y Gao, J Luo International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020 | | 2020 |
Jing HuoNanjing UniversityVerified email at nju.edu.cn
