Latent tensor transfer learning for RGB-D action recognition C Jia, Y Kong, Z Ding, YR Fu Proceedings of the 22nd ACM international conference on Multimedia, 87-96, 2014 | 62 | 2014 |
Low-rank tensor subspace learning for RGB-D action recognition C Jia, Y Fu IEEE Transactions on Image Processing 25 (10), 4641-4652, 2016 | 52 | 2016 |
Low-rank tensor learning with discriminant analysis for action classification and image recovery C Jia, G Zhong, Y Fu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 39 | 2014 |
Semi-supervised cross-modality action recognition by latent tensor transfer learning C Jia, Z Ding, Y Kong, Y Fu IEEE Transactions on Circuits and Systems for Video Technology 30 (9), 2801-2814, 2019 | 30 | 2019 |
Stacked denoising tensor auto-encoder for action recognition with spatiotemporal corruptions C Jia, M Shao, S Li, H Zhao, Y Fu IEEE Transactions on Image Processing 27 (4), 1878-1887, 2017 | 27 | 2017 |
Sparse canonical temporal alignment with deep tensor decomposition for action recognition C Jia, M Shao, Y Fu IEEE Transactions on Image Processing 26 (2), 738-750, 2016 | 24 | 2016 |
Consensus style centralizing auto-encoder for weak style classification S Jiang, M Shao, C Jia, Y Fu Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 24 | 2016 |
A new data augmentation method for EEG features based on the hybrid model of broad-deep networks R Fu, Y Wang, C Jia Expert Systems with Applications 202, 117386, 2022 | 20 | 2022 |
Learning consensus representation for weak style classification S Jiang, M Shao, C Jia, Y Fu IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (12), 2906 …, 2017 | 19 | 2017 |
Incremental multi-linear discriminant analysis using canonical correlations for action recognition CC Jia, SJ Wang, XJ Peng, W Pang, CY Zhang, CG Zhou, ZZ Yu Neurocomputing 83, 56-63, 2012 | 18 | 2012 |
Incremental graph regulated nonnegative matrix factorization for face recognition ZZ Yu, YH Liu, B Li, SC Pang, CC Jia Journal of Applied Mathematics 2014 (1), 928051, 2014 | 17 | 2014 |
People number estimation in the crowded scenes using texture analysis based on gabor filter Q Wen, C Jia, Y Yu, G Chen, Z Yu, C Zhou Journal of Computational Information Systems 7 (11), 3754-3763, 2011 | 16 | 2011 |
Transformer-BLS: An efficient learning algorithm based on multi-head attention mechanism and incremental learning algorithms R Fu, H Liang, S Wang, C Jia, G Sun, T Gao, D Chen, Y Wang Expert Systems with Applications 238, 121734, 2024 | 14 | 2024 |
Tensor discriminant analysis with multiscale features for action modeling and categorization ZZ Yu, CC Jia, W Pang, CY Zhang, LH Zhong IEEE Signal Processing Letters 19 (2), 95-98, 2011 | 14 | 2011 |
A sign language recognition based on tensor SJ Wang, DC Zhang, CC Jia, N Zhang, CG Zhou, LB Zhang 2010 Second International Conference on Multimedia and Information …, 2010 | 13 | 2010 |
Human action recognition using tensor principal component analysis M Sun, S Wang, X Liu, C Jia, C Zhou def 1 (2), 1-1, 2011 | 7 | 2011 |
Exploring non-Euclidean relationships in EEG emotion recognition: A dynamic graph attention network R Fu, M Cai, S Wang, Y Wang, C Jia Biomedical Signal Processing and Control 94, 106276, 2024 | 6 | 2024 |
Motor intent recognition of multi-feature fusion EEG signals by UMAP algorithm Y Du, J Sui, S Wang, R Fu, C Jia Medical & Biological Engineering & Computing 61 (10), 2665-2676, 2023 | 6 | 2023 |
Dynamic spatiotemporal graph neural network with tensor network C Jia, B Wu, XP Zhang arXiv preprint arXiv:2003.08729, 2020 | 6 | 2020 |
Tensor analysis and multi-scale features based multi-view human action recognition C Jia, S Wang, X Xu, C Zhou, L Zhang 2010 2nd International Conference on Computer Engineering and Technology 4 …, 2010 | 6 | 2010 |