Xiaopeng HONG (洪晓鹏)
Xiaopeng HONG (洪晓鹏)
Xi'an Jiaotong University, PRC/ Oulu University, FI
Verified email at ieee.org - Homepage
Cited by
Cited by
A Review of Recent Advances in Visual Speech Decoding
Z Zhou, G Zhao, X Hong, M Pietikainen
Image and Vision Computing, 2014
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen
Transactions on Affective Computing 9 (04), 563-577, 2018
Combining LBP Difference and Feature Correlation for Texture Description.
X Hong, G Zhao, M Pietikäinen, X Chen
IEEE Transactions on Image Processing 23 (6), 2557 - 2568, 2014
Spontaneous facial micro-expression analysis using spatiotemporal completed local quantized patterns
X Huang, G Zhao, X Hong, W Zheng, M Pietikäinen
Neurocomputing 175, 564-578, 2016
A PCA based visual DCT feature extraction method for lip-reading
X Hong, H Yao, Y Wan, R Chen
2006 International Conference on Intelligent Information Hiding and …, 2006
Dynamic texture and scene classification by transferring deep image features
X Qi, CG Li, G Zhao, X Hong, M Pietikäinen
Neurocomputing 171, 1230-1241, 2016
Sigma set: A small second order statistical region descriptor
X Hong, H Chang, S Shan, X Chen, W Gao
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1802-1809, 2009
Recurrent convolutional neural network regression for continuous pain intensity estimation in video
J Zhou, X Hong, F Su, G Zhao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
Selective deep features for micro-expression recognition
D Patel, X Hong, G Zhao
2016 23rd International Conference on Pattern Recognition (ICPR), 2258-2263, 2016
Age estimation using local binary pattern kernel density estimate
J Ylioinas, A Hadid, X Hong, M Pietikäinen
International Conference on Image Analysis and Processing, 141-150, 2013
A Compact Representation of Visual Speech Data Using Latent Variables
Z Zhou, X Hong, G Zhao, M Pietikäinen
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (1), 2014
Reading hidden emotions: spontaneous micro-expression spotting and recognition
X Li, X Hong, A Moilanen, X Huang, T Pfister, G Zhao, M Pietikäinen
arXiv preprint arXiv:1511.00423, 2015
Isolated Sign Language Recognition with Grassmann Covariance Matrices
H Wang, C Xiujuan, X Hong, G Zhao, X Chen
ACM Transactions on Accessible Computing, 8 (4), 2016
Capturing Correlations of Local Features for Image Representation
X Hong, G Zhao, S Zafeiriou, M Pantic, M Pietikäinen
Neurocomputing 184 (0), 99-106, 2016
Background Subtraction using Spatio-Temporal Group Sparsity Recovery
X Liu, J Yao, X Hong, X Huang, Z Zhou, C Qi, G Zhao
IEEE Transactions on Circuits and Systems for Video Technology, 2017
Bayesian loss for crowd count estimation with point supervision
Z Ma, X Wei, X Hong, Y Gong
Internation Conference on Computer Vision (ICCV), 2019
Hierarchical contour closure-based holistic salient object detection
Q Liu, X Hong, B Zou, J Chen, Z Chen, G Zhao
IEEE Transactions on Image Processing 26 (9), 4537-4552, 2017
Improved spatiotemporal local monogenic binary pattern for emotion recognition in the wild
X Huang, Q He, X Hong, G Zhao, M Pietikainen
Proceedings of the 16th International Conference on Multimodal Interaction …, 2014
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
Z Xia, X Hong, X Gao, X Feng, G Zhao
IEEE Transactions on Multimedia, 2019
OMEG: Oulu Multi-pose Eye Gaze Dataset
Q He, X Hong, X Chai, J Holappa, G Zhao, X Chen, M Pietikäinen
the 19th Scandinavian Conference on Image Analysis, 2015
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