| The comparative research on image segmentation algorithms WX Kang, QQ Yang, RP Liang 2009 First international workshop on education technology and computer …, 2009 | 379 | 2009 |
| Contactless palm vein recognition using a mutual foreground-based local binary pattern W Kang, Q Wu IEEE transactions on Information Forensics and Security 9 (11), 1974-1985, 2014 | 175 | 2014 |
| A novel finger vein verification system based on two-stream convolutional network learning Y Fang, Q Wu, W Kang Neurocomputing 290, 100-107, 2018 | 156 | 2018 |
| Contact-free palm-vein recognition based on local invariant features W Kang, Y Liu, Q Wu, X Yue PloS one 9 (5), e97548, 2014 | 111 | 2014 |
| Palm vein recognition based on multi-sampling and feature-level fusion X Yan, W Kang, F Deng, Q Wu Neurocomputing 151, 798-807, 2015 | 109 | 2015 |
| Fvras-net: An embedded finger-vein recognition and antispoofing system using a unified cnn W Yang, W Luo, W Kang, Z Huang, Q Wu IEEE Transactions on Instrumentation and Measurement 69 (11), 8690-8701, 2020 | 90 | 2020 |
| Study of a full-view 3D finger vein verification technique W Kang, H Liu, W Luo, F Deng IEEE Transactions on Information Forensics and Security 15, 1175-1189, 2019 | 71 | 2019 |
| Self-supervised multi-view stereo via effective co-segmentation and data-augmentation H Xu, Z Zhou, Y Qiao, W Kang, Q Wu Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3030-3038, 2021 | 69 | 2021 |
| Finger vein presentation attack detection using total variation decomposition X Qiu, W Kang, S Tian, W Jia, Z Huang IEEE Transactions on Information Forensics and Security 13 (2), 465-477, 2017 | 66 | 2017 |
| Finger vein verification using a Siamese CNN S Tang, S Zhou, W Kang, Q Wu, F Deng IET biometrics 8 (5), 306-315, 2019 | 64 | 2019 |
| Generative adversarial network (GAN) based data augmentation for palmprint recognition G Wang, W Kang, Q Wu, Z Wang, J Gao 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2018 | 64 | 2018 |
| From noise to feature: Exploiting intensity distribution as a novel soft biometric trait for finger vein recognition W Kang, Y Lu, D Li, W Jia IEEE transactions on information forensics and security 14 (4), 858-869, 2018 | 63 | 2018 |
| Digging into uncertainty in self-supervised multi-view stereo H Xu, Z Zhou, Y Wang, W Kang, B Sun, H Li, Y Qiao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 62 | 2021 |
| Palm vein recognition based on three local invariant feature extraction algorithms M Pan, W Kang Chinese conference on biometric recognition, 116-124, 2011 | 62 | 2011 |
| Jgr-p2o: Joint graph reasoning based pixel-to-offset prediction network for 3d hand pose estimation from a single depth image L Fang, X Liu, L Liu, H Xu, W Kang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 59 | 2020 |
| Information divergence-based matching strategy for online signature verification L Tang, W Kang, Y Fang IEEE Transactions on Information Forensics and Security 13 (4), 861-873, 2017 | 56 | 2017 |
| Joint input and output space learning for multi-label image classification J Xu, H Tian, Z Wang, Y Wang, W Kang, F Chen IEEE Transactions on Multimedia 23, 1696-1707, 2020 | 53 | 2020 |
| Dynamic group convolution for accelerating convolutional neural networks Z Su, L Fang, W Kang, D Hu, M Pietikäinen, L Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 53 | 2020 |
| Joint attention network for finger vein authentication J Huang, M Tu, W Yang, W Kang IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2021 | 51 | 2021 |
| Pose-invariant hand shape recognition based on finger geometry W Kang, Q Wu IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (11), 1510-1521, 2014 | 47 | 2014 |
