| Cross-x learning for fine-grained visual categorization W Luo, X Yang, X Mo, Y Lu, LS Davis, J Li, J Yang, SN Lim Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 244 | 2019 |
| Convolutional sparse autoencoders for image classification W Luo, J Li, J Yang, W Xu, J Zhang IEEE transactions on neural networks and learning systems 29 (7), 3289-3294, 2017 | 145 | 2017 |
| Sparseness analysis in the pretraining of deep neural networks J Li, T Zhang, W Luo, J Yang, XT Yuan, J Zhang IEEE transactions on neural networks and learning systems 28 (6), 1425-1438, 2016 | 83 | 2016 |
| Learning semantically enhanced feature for fine-grained image classification W Luo, H Zhang, J Li, XS Wei IEEE Signal Processing Letters 27, 1545-1549, 2020 | 73 | 2020 |
| Nonconvex relaxation based matrix regression for face recognition with structural noise and mixed noise H Zhang, J Yang, J Qian, W Luo Neurocomputing 269, 188-198, 2017 | 25 | 2017 |
| Locality-constrained sparse auto-encoder for image classification W Luo, J Yang, W Xu, T Fu IEEE Signal Processing Letters 22 (8), 1070-1073, 2014 | 23 | 2014 |
| Visual representation and classification by learning group sparse deep stacking network J Li, H Chang, J Yang, W Luo, Y Fu IEEE Transactions on Image Processing 27 (1), 464-476, 2017 | 17 | 2017 |
| Higher-level feature combination via multiple kernel learning for image classification W Luo, J Yang, W Xu, J Li, J Zhang Neurocomputing 167, 209-217, 2015 | 14 | 2015 |
| A news-driven recurrent neural network for market volatility prediction P Lin, X Mo, G Lin, L Ling, T Wei, W Luo 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 776-781, 2017 | 11 | 2017 |
| Facial landmark detection via pose-induced auto-encoder networks Y Chen, W Luo, J Yang 2015 IEEE International Conference on Image Processing (ICIP), 2115-2119, 2015 | 9 | 2015 |
| Feature transformation for cross-domain few-shot remote sensing scene classification Q Chen, Z Chen, W Luo International Conference on Pattern Recognition, 303-316, 2022 | 6 | 2022 |
| Label-smooth learning for fine-grained visual categorization X Mo, T Wei, H Zhang, Q Huang, W Luo Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand …, 2020 | 6 | 2020 |
| Fast and low complexity image stitching method on mobile phones W Yan, C Liu, W Luo 2015 International Conference on Control, Automation and Information …, 2015 | 6 | 2015 |
| Unsupervised pretraining encourages moderate-sparseness J Li, W Luo, J Yang, X Yuan arXiv preprint arXiv:1312.5813, 2013 | 6 | 2013 |
| The effectiveness of noise in data augmentation for fine-grained image classification N Sun, X Mo, T Wei, D Zhang, W Luo Pattern Recognition: 5th Asian Conference, ACPR 2019, Auckland, New Zealand …, 2020 | 4 | 2020 |
| Learning sparse features in convolutional neural networks for image classification W Luo, J Li, W Xu, J Yang International Conference on Intelligence Science and Big Data Engineering, 2015 | 4 | 2015 |
| Why does the unsupervised pretraining encourage moderate-sparseness J Li, W Luo, J Yang, X Yuan CoRR, abs/1312.5813, 2013 | 4 | 2013 |
| Exploiting category-level semantic relationships for fine-grained image recognition X Mo, J Zhu, X Zhao, M Liu, T Wei, W Luo Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV …, 2019 | 3 | 2019 |
| Robust recovery of low rank matrix by nonconvex rank regularization H Zhang, W Luo, W Du, J Qian, J Yang, B Zhang Image and Graphics: 11th International Conference, ICIG 2021, Haikou, China …, 2021 | 2 | 2021 |
| Locality-constrained group sparse coding regularized NMR for robust face recognition H Zhang, W Luo, J Yang, L Luo 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 740-744, 2015 | 2 | 2015 |
