Generating Facial Expressions with Deep Belief Nets
暂无分享,去创建一个
Geoffrey E. Hinton | Javier R. Movellan | Adam K. Anderson | Joshua Susskind | J. Movellan | A. Anderson | J. Susskind
[1] Frederick I. Parke,et al. Computer generated animation of faces , 1972, ACM Annual Conference.
[2] F. I. Parke June,et al. Computer Generated Animation of Faces , 1972 .
[3] P. Ekman. Pictures of Facial Affect , 1976 .
[4] P. Ekman,et al. Handbook of methods in nonverbal behavior research , 1982 .
[5] E. Ziegel,et al. Artificial intelligence and statistics , 1986 .
[6] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[7] P. Ekman,et al. The ability to detect deceit generalizes across different types of high-stake lies. , 1997, Journal of personality and social psychology.
[8] Timothy F. Cootes,et al. Active Appearance Models , 1998, ECCV.
[9] Frederick I. Parke,et al. Computer gernerated animation of faces , 1998 .
[10] T. Sejnowski,et al. Measuring facial expressions by computer image analysis. , 1999, Psychophysiology.
[11] J. Cohn,et al. Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding. , 1999, Psychophysiology.
[12] Thomas Vetter,et al. A morphable model for the synthesis of 3D faces , 1999, SIGGRAPH.
[13] Maja Pantic,et al. Automatic Analysis of Facial Expressions: The State of the Art , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[14] John P. Lewis,et al. Pose Space Deformation: A Unified Approach to Shape Interpolation and Skeleton-Driven Deformation , 2000, SIGGRAPH.
[15] Takeo Kanade,et al. Comprehensive database for facial expression analysis , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[16] Andrew J. Calder,et al. PII: S0042-6989(01)00002-5 , 2001 .
[17] Paul A. Viola,et al. Robust Real-time Object Detection , 2001 .
[18] Jun-yong Noh,et al. Expression cloning , 2001, SIGGRAPH 2001.
[19] G. Cottrell,et al. EMPATH: A Neural Network that Categorizes Facial Expressions , 2002, Journal of Cognitive Neuroscience.
[20] Geoffrey E. Hinton. Training Products of Experts by Minimizing Contrastive Divergence , 2002, Neural Computation.
[21] Javier R. Movellan,et al. Towards Automatic Recognition of Spontaneous Facial Actions , 2003 .
[22] Frédéric H. Pighin,et al. Learning controls for blend shape based realistic facial animation , 2003, SIGGRAPH '03.
[23] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[24] B. Abboud,et al. Bilinear factorisation for facial expression analysis and synthesis , 2005 .
[25] Frédéric H. Pighin,et al. Learning controls for blend shape based realistic facial animation , 2005, SIGGRAPH Courses.
[26] James H. Elder,et al. Creating invariance to "nuisance parameters" in face recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[27] L. J. M. Rothkrantz,et al. Parametric Generation of Facial Expressions Based on FACS , 2005, Comput. Graph. Forum.
[28] Ian R. Fasel,et al. A generative framework for real time object detection and classification , 2005, Comput. Vis. Image Underst..
[29] P. Ekman,et al. What the face reveals : basic and applied studies of spontaneous expression using the facial action coding system (FACS) , 2005 .
[30] Miguel Á. Carreira-Perpiñán,et al. On Contrastive Divergence Learning , 2005, AISTATS.
[31] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[32] Parag Havaldar. Sony Pictures Imageworks , 2006, SIGGRAPH Courses.
[33] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[34] J. Cohn,et al. Movement Differences between Deliberate and Spontaneous Facial Expressions: Zygomaticus Major Action in Smiling , 2006, Journal of nonverbal behavior.
[35] Gwen Littlewort,et al. Automatic Recognition of Facial Actions in Spontaneous Expressions , 2006, J. Multim..
[36] J. Movellan,et al. Human and computer recognition of facial expressions of emotion , 2007, Neuropsychologia.
[37] Geoffrey E. Hinton. Learning multiple layers of representation , 2007, Trends in Cognitive Sciences.
[38] Christopher J. Fox,et al. What is adapted in face adaptation? The neural representations of expression in the human visual system , 2007, Brain Research.
[39] Thomas Hofmann,et al. Greedy Layer-Wise Training of Deep Networks , 2007 .
[40] Geoffrey E. Hinton,et al. To recognize shapes, first learn to generate images. , 2007, Progress in brain research.
[41] John F. Kalaska,et al. Computational neuroscience : theoretical insights into brain function , 2007 .
[42] Geoffrey E. Hinton,et al. Modeling image patches with a directed hierarchy of Markov random fields , 2007, NIPS.
[43] Geoffrey E. Hinton,et al. Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes , 2007, NIPS.
[44] A. Anderson,et al. Examinations of identity invariance in facial expression adaptation , 2008, Cognitive, affective & behavioral neuroscience.
[45] Antonio Torralba,et al. Small codes and large image databases for recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[46] J. Cohn,et al. Measuring Facial Action , 2008 .