| Partimagenet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... European Conference on Computer Vision, 128-145, 2022 | 66 | 2022 |
| Transfg: A transformer architecture for fine-grained recognition J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang Proceedings of the AAAI conference on artificial intelligence 36 (1), 852-860, 2022 | 360 | 2022 |
| Rethinking re-sampling in imbalanced semi-supervised learning J He, A Kortylewski, S Yang, S Liu, C Yang, C Wang, A Yuille arXiv preprint arXiv:2106.00209, 2021 | 28 | 2021 |
| Re-rank coarse classification with local region enhanced features for fine-grained image recognition S Yang, S Liu, C Yang, C Wang arXiv preprint arXiv:2102.09875, 2021 | 35 | 2021 |
| Action unit analysis enhanced facial expression recognition by deep neural network evolution R Zhi, C Zhou, T Li, S Liu, Y Jin Neurocomputing 425, 135-148, 2021 | 40 | 2021 |
| Transfg: A transformer architecture for fine-grained recognition. arXiv 2021 J He, J Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille arXiv preprint arXiv:2103.07976, 2021 | 8 | 2021 |
| Multi-stream integrated neural networks for facial expression-based pain recognition R Zhi, C Zhou, J Yu, S Liu Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 1 | 2021 |
| Development of a direct mapping model between hedonic rating and facial responses by dynamic facial expression representation R Zhi, X Hu, C Wang, S Liu Food Research International 137, 109411, 2020 | 4 | 2020 |
| A sparse neighborhood preserving non-negative tensor factorization algorithm for facial expression recognition G An, S Liu, Q Ruan Pattern Analysis and Applications 20, 453-471, 2017 | 5 | 2017 |
| Facial expression recognition based on discriminant neighborhood preserving nonnegative tensor factorization and ELM G An, S Liu, Y Jin, Q Ruan, S Lu Mathematical Problems in Engineering 2014 (1), 390328, 2014 | 3 | 2014 |
| Facial Expression Recognition using Spectral Supervised Canonical Correlation Analysis. S Guo, Q Ruan, Z Wang, S Liu J. Inf. Sci. Eng. 29 (5), 907-924, 2013 | 4 | 2013 |
| Tensor rank one differential graph preserving analysis for facial expression recognition S Liu, Q Ruan, C Wang, G An Image and Vision Computing 30 (8), 535-545, 2012 | 20 | 2012 |
| Orthogonal tensor rank one differential graph preserving projections with its application to facial expression recognition S Liu, Q Ruan, Y Jin Neurocomputing 82, 238-249, 2012 | 2 | 2012 |
| An orthogonal tensor rank one discriminative graph embedding method for facial expression recognition S Liu, Q Ruan, Z Wang 4th IET International Conference on Wireless, Mobile & Multimedia Networks …, 2011 | 1 | 2011 |
| Orthogonal tensor neighborhood preserving embedding for facial expression recognition S Liu, Q Ruan Pattern Recognition 44 (7), 1497-1513, 2011 | 30 | 2011 |
| Regularized neighborhood boundary discriminant analysis for facial expression recognition Z Wang, Q Ruan, S Liu, S Guo IET Digital Library, 2011 | 2 | 2011 |
| Orthogonal Tensor Marginal Fisher Analysis with application to facial expression recognition S Liu, Q Ruan IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 1710-1713, 2010 | 2 | 2010 |
| Tensor rank one discriminant locally linear embedding for facial expression classification S Liu, Q Ruan IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 1410-1413, 2010 | 3 | 2010 |
| Orthogonal discriminant neighborhood preserving embedding for facial expression recognition S Liu, Q Ruan, R Ni 2010 IEEE International Conference on Image Processing, 2757-2760, 2010 | 6 | 2010 |
