Improving deep neural network with multiple parametric exponential linear units Y Li, C Fan, Y Li, Q Wu, Y Ming Neurocomputing 301, 11-24, 2018 | 59 | 2018 |
Activity recognition from RGB-D camera with 3D local spatio-temporal features Y Ming, Q Ruan, AG Hauptmann 2012 IEEE International Conference on Multimedia and Expo, 344-349, 2012 | 50 | 2012 |
Deep learning for monocular depth estimation: A review Y Ming, X Meng, C Fan, H Yu Neurocomputing 438, 14-33, 2021 | 49 | 2021 |
Robust regional bounding spherical descriptor for 3D face recognition and emotion analysis Y Ming Image and Vision Computing 35, 14-22, 2015 | 43 | 2015 |
Stacked PCA network (SPCANet): an effective deep learning for face recognition L Tian, C Fan, Y Ming, Y Jin 2015 IEEE International Conference on Digital Signal Processing (DSP), 1039-1043, 2015 | 38 | 2015 |
3D facial expression recognition based on basic geometric features X Li, Q Ruan, Y Ming IEEE 10th International Conference on Signal Processing Proceedings, 1366-1369, 2010 | 38 | 2010 |
Rigid-area orthogonal spectral regression for efficient 3D face recognition Y Ming Neurocomputing 129, 445-457, 2014 | 33 | 2014 |
Robust sparse bounding sphere for 3D face recognition Y Ming, Q Ruan Image and Vision Computing 30 (8), 524-534, 2012 | 28 | 2012 |
3D face recognition using corresponding point direction measure and depth local features X Wang, Q Ruan, Y Ming IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 86-89, 2010 | 26 | 2010 |
A Mandarin edutainment system integrated virtual learning environments Y Ming, Q Ruan, G Gao Speech Communication 55 (1), 71-83, 2013 | 23 | 2013 |
Multiple scales combined principle component analysis deep learning network for face recognition L Tian, C Fan, Y Ming Journal of Electronic Imaging 25 (2), 023025, 2016 | 22 | 2016 |
Efficient Kernel discriminate spectral regression for 3D face recognition Y Ming, Q Ruan, X Li, M Mu IEEE 10th international conference on signal processing proceedings, 662-665, 2010 | 22 | 2010 |
Uniform local binary pattern based texture-edge feature for 3D human behavior recognition Y Ming, G Wang, C Fan PloS one 10 (5), e0124640, 2015 | 20 | 2015 |
Hand fine-motion recognition based on 3D Mesh MoSIFT feature descriptor Y Ming Neurocomputing 151, 574-582, 2015 | 15 | 2015 |
A face anti-spoofing method based on optical flow field W Yin, Y Ming, L Tian 2016 IEEE 13th International Conference on Signal Processing (ICSP), 1333-1337, 2016 | 13 | 2016 |
A unified 3D face authentication framework based on robust local mesh SIFT feature Y Ming, X Hong Neurocomputing 184, 117-130, 2016 | 13 | 2016 |
Efficient 3d face recognition with Gabor patched spectral regression Y Ming, Q Ruan, X Wang Computing and Informatics 31 (4), 779-803, 2012 | 13 | 2012 |
Human behavior recognition based on 3D features and hidden markov models Y Wu, Z Jia, Y Ming, J Sun, L Cao Signal, Image and Video Processing 10 (3), 495-502, 2016 | 11 | 2016 |
Learning effective features for 3D face recognition Y Ming, Q Ruan, R Ni 2010 IEEE International Conference on Image Processing, 2421-2424, 2010 | 11 | 2010 |
Sparse projections matrix binary descriptors for face recognition C Fan, L Tian, Y Ming, X Hong, G Zhao, M Pietikäinen Neurocomputing 297, 8-21, 2018 | 10 | 2018 |