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 | 548 | 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 | 226 | 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 | 83* | 2018 |
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 | 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 |
Robust neighborhood embedding for unsupervised feature selection Y Liu, D Ye, W Li, H Wang, Y Gao Knowledge-based systems 193, 105462, 2020 | 64 | 2020 |
Learning Task-aware Local Representations for Few-shot Learning C Dong, W Li, J Huo, Z Gu, Y Gao International Joint Conference on Artificial Intelligence (IJCAI 2020), 2020 | 59 | 2020 |
LoFGAN: Fusing Local Representations for Few-Shot Image Generation Z Gu, W Li, J Huo, L Wang, Y Gao IEEE International Conference on Computer Vision (ICCV 2021), 8463-8471, 2021 | 56 | 2021 |
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 | 46 | 2020 |
Manifold Alignment for Semantically Aligned Style Transfer J Huo, S Jin, W Li, J Wu, YK Lai, Y Shi, Y Gao IEEE International Conference on Computer Vision (ICCV 2021), 14861-14869, 2021 | 45 | 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 (TPAMI), 2023 | 43 | 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 |
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning P Tian, W Li, Y Gao IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2021), 2021 | 38 | 2021 |
Diversity helps: Unsupervised few-shot learning via distribution shift-based data augmentation T Qin, W Li, Y Shi, Y Gao arXiv preprint arXiv:2004.05805, 2020 | 36 | 2020 |
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 | 32 | 2021 |
Tree structure-aware few-shot image classification via hierarchical aggregation M Zhang, S Huang, W Li, D Wang European Conference on Computer Vision, 453-470, 2022 | 29 | 2022 |
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 | 23 | 2020 |
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 |
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 | 18 | 2018 |
Online deep metric learning W Li, J Huo, Y Shi, Y Gao, L Wang, J Luo arXiv preprint arXiv:1805.05510, 2018 | 18 | 2018 |