Mengyi Liu
Title
Cited by
Cited by
Year
Learning Expressionlets on Spatio-Temporal Manifold for Dynamic Facial Expression Recognition
M Liu, S Shan, R Wang, X Chen
Computer Vision and Pattern Recognition. CVPR 2014. IEEE, 1749-1756, 2014
2722014
Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis
M Liu, S Li, S Shan, R Wang, X Chen
Asian Conference on Computer Vision. ACCV 2014. Springer, 143-157, 2014
2262014
AU-aware Deep Networks for Facial Expression Recognition
M Liu, S Li, S Shan, X Chen
Automatic Face and Gesture Recognition. FG 2013. IEEE, 1-6, 2013
1992013
Combining Multiple Kernel Methods on Riemannian Manifold for Emotion Recognition in the Wild
M Liu, R Wang, S Li, S Shan, Z Huang, X Chen
International Conference on Multimodal Interaction. ICMI 2014. ACM, 494-501, 2014
1542014
Au-inspired deep networks for facial expression feature learning
M Liu, S Li, S Shan, X Chen
Neurocomputing 159, 126-136, 2015
1322015
Partial least squares regression on grassmannian manifold for emotion recognition
M Liu, R Wang, Z Huang, S Shan, X Chen
International Conference on Multimodal Interaction. ICMI 2013. ACM, 525-530, 2013
602013
Learning expressionlets via universal manifold model for dynamic facial expression recognition
M Liu, S Shan, R Wang, X Chen
IEEE Transactions on Image Processing 25 (12), 5920-5932, 2016
282016
Enhancing expression recognition in the wild with unlabeled reference data
M Liu, S Li, S Shan, X Chen
Asian Conference on Computer Vision. ACCV 2012. Springer, 577-588, 2012
262012
Exploiting Feature Hierarchies With Convolutional Neural Networks for Cultural Event Recognition
M Liu, X Liu, Y Li, X Chen, A Hauptmann, S Shan
IEEE International Conference on Computer Vision (ICCV) Workshops, 32-37, 2015
122015
Content-based video relevance prediction challenge: Data, protocol, and baseline
M Liu, X Xie, H Zhou
arXiv preprint arXiv:1806.00737, 2018
82018
Video modeling and learning on Riemannian manifold for emotion recognition in the wild
M Liu, R Wang, S Li, Z Huang, S Shan, X Chen
Journal on Multimodal User Interfaces 10 (2), 113-124, 2016
62016
Heterogeneous face biometrics based on Guassian weights and invariant features synthesis
M Liu, W Xie, X Chen, Y Ma, Y Guo, J Meng, Z Yuan, Q Qin
Computing, Control and Industrial Engineering. CCIE 2011. IEEE 2, 374-377, 2011
62011
A comprehensive survey on automatic facial action unit analysis
R Zhi, M Liu, D Zhang
The Visual Computer, 1-27, 2019
52019
Learning mid-level words on Riemannian manifold for action recognition
M Liu, R Wang, S Shan, X Chen
arXiv preprint arXiv:1511.04808, 2015
52015
Heterogeneous Face Recognition and Synthesis Using Canonical Correlation Analysis (CCA)
M Liu, Z Yuan, Y Ma, X Chen, Q Yin
Journal of Convergence Information Technology 7 (8), 398-407, 2012
52012
An analysis-by-synthesis method based on sparse representation for heterogeneous face biometrics
Y Ma, W Xie, X Chen, M Liu, Y Guo, J Meng, Z Yuan, Q Qin
2011 International Conference on Multimedia Technology, 148-151, 2011
52011
The GA solution of dynamic Spectrum allocation in cognitive radio based on collaboration and fairness
M Liu, H Zhang, R Fan, Z Duan
2011 Third Pacific-Asia Conference on Circuits, Communications and System …, 2011
52011
Skipping word: A character-sequential representation based framework for question answering
L Meng, Y Li, M Liu, P Shu
Proceedings of the 25th ACM International on Conference on Information and …, 2016
32016
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition
M Liu, R Wang, S Shan, X Chen
Computer Vision and Image Understanding 147, 95-101, 2016
32016
Deep learning: The revival and transformation of multi layer neural networks
SG SHAN, MN KAN, X LIU, M LIU, S WU
Science & Technology Review 34 (14), 60-70, 2016
32016
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