Audiovisual Facial Action Unit Recognition using Feature Level Fusion
暂无分享,去创建一个
Min Chen | Yan Tong | Shizhong Han | Zibo Meng | Shizhong Han | Zibo Meng | Yan Tong | Min Chen
[1] Ping Liu,et al. Facial Expression Recognition via a Boosted Deep Belief Network , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Geoffrey E. Hinton,et al. On deep generative models with applications to recognition , 2011, CVPR 2011.
[3] Qiang Ji,et al. Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..
[5] V. Udayashankara,et al. Automatic bimodal audiovisual speech recognition: A review , 2014, 2014 International Conference on Contemporary Computing and Informatics (IC3I).
[6] Min Chen,et al. Feature Level Fusion for Bimodal Facial Action Unit Recognition , 2015, 2015 IEEE International Symposium on Multimedia (ISM).
[7] I. Pitas,et al. A new sparse image representation algorithm applied to facial expression recognition , 2004, Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004..
[8] Gwen Littlewort,et al. Recognizing facial expression: machine learning and application to spontaneous behavior , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[9] Chun Chen,et al. Sparse Coding for Flexible, Robust 3D Facial-Expression Synthesis , 2012, IEEE Computer Graphics and Applications.
[10] Jian Sun,et al. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[11] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[12] Qingshan Liu,et al. Learning Multiscale Active Facial Patches for Expression Analysis , 2015, IEEE Transactions on Cybernetics.
[13] Jing Huang,et al. Audio-visual deep learning for noise robust speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[14] M. Picheny,et al. Comparison of Parametric Representation for Monosyllabic Word Recognition in Continuously Spoken Sentences , 2017 .
[15] Takeo Kanade,et al. Evaluation of Gabor-wavelet-based facial action unit recognition in image sequences of increasing complexity , 2002, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition.
[16] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[17] Stan Davis,et al. Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .
[18] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[19] Youjie Zhou,et al. Pose Locality Constrained Representation for 3D Human Pose Reconstruction , 2014, ECCV.
[20] David J. Field,et al. Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.
[21] Maja Pantic,et al. Meta-Analysis of the First Facial Expression Recognition Challenge , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[22] Daniel Povey,et al. The Kaldi Speech Recognition Toolkit , 2011 .
[23] Lionel Prevost,et al. Facial Action Recognition Combining Heterogeneous Features via Multikernel Learning , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[24] Juhan Nam,et al. Multimodal Deep Learning , 2011, ICML.
[25] Min Chen,et al. Deep Learning with MCA-based Instance Selection and Bootstrapping for Imbalanced Data Classification , 2015, 2015 IEEE Conference on Collaboration and Internet Computing (CIC).
[26] Qingshan Liu,et al. Boosting Coded Dynamic Features for Facial Action Units and Facial Expression Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Stefanos Zafeiriou,et al. Nonlinear Non-Negative Component Analysis Algorithms , 2010, IEEE Transactions on Image Processing.
[28] Stefanos Zafeiriou,et al. Robust Discriminative Response Map Fitting with Constrained Local Models , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Markus Flierl,et al. Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[30] Gwen Littlewort,et al. Toward Practical Smile Detection , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[31] Ping Liu,et al. Facial grid transformation: A novel face registration approach for improving facial action unit recognition , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[32] H. Emrah Tasli,et al. Deep learning based FACS Action Unit occurrence and intensity estimation , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[33] Yuting Zhang,et al. Learning to Disentangle Factors of Variation with Manifold Interaction , 2014, ICML.
[34] Lijun Yin,et al. FERA 2015 - second Facial Expression Recognition and Analysis challenge , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[35] Alex Pentland,et al. Human Computing and Machine Understanding of Human Behavior: A Survey , 2007, Artifical Intelligence for Human Computing.
[36] Pascal Vincent,et al. Disentangling Factors of Variation for Facial Expression Recognition , 2012, ECCV.
[37] Weifeng Liu,et al. Facial expression recognition based on discriminative dictionary learning , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[38] P. Ekman,et al. Facial Action Coding System: Manual , 1978 .
[39] Xiaogang Wang,et al. Deep Learning Face Representation from Predicting 10,000 Classes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[40] Stefanos Zafeiriou,et al. Sparse representations for facial expressions recognition via l1 optimization , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[41] Yoshua Bengio,et al. Deep Learning of Representations for Unsupervised and Transfer Learning , 2011, ICML Unsupervised and Transfer Learning.
[42] Andrea Cavallaro,et al. Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[43] Min Chen,et al. Deep Learning for Imbalanced Multimedia Data Classification , 2015, 2015 IEEE International Symposium on Multimedia (ISM).
[44] Zhihong Zeng,et al. A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions , 2009, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Shiguang Shan,et al. Shape Driven Kernel Adaptation in CNN for Robust Facial Trait Recognition , 2015 .
[46] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[47] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[48] Mohammed Bennamoun,et al. Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[49] Shiguang Shan,et al. AU-aware Deep Networks for facial expression recognition , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[50] Ping Liu,et al. Improving facial expression analysis using histograms of Log-Transformed Nonnegative Sparse Representation with a Spatial Pyramid Structure , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[51] Ming-Wei Huang,et al. Facial Expression Recognition Based on Fusion of Sparse Representation , 2010, ICIC.
[52] M. Hariharan,et al. A review: Malay speech recognition and audio visual speech recognition , 2012, 2012 International Conference on Biomedical Engineering (ICoBE).