Combining modality specific deep neural networks for emotion recognition in video
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Razvan Pascanu | Christopher Joseph Pal | Yoshua Bengio | Yann Dauphin | Aaron C. Courville | Roland Memisevic | Guillaume Desjardins | Samira Ebrahimi Kahou | David Warde-Farley | Kishore Reddy Konda | Xavier Bouthillier | Çaglar Gülçehre | Abhishek Aggarwal | Pascal Vincent | Mehdi Mirza | Jeremie Zumer | Atousa Torabi | Nicolas Boulanger-Lewandowski | Pascal Lamblin | Emmanuel Bengio | Arjun Sharma | Zhenzhou Wu | Pierre Luc Carrier | Pierre Froumenty | Sébastien Jean | Raul Chandias Ferrari | Jean-Philippe Raymond | Yoshua Bengio | Pascal Lamblin | Pascal Vincent | Çaglar Gülçehre | Razvan Pascanu | M. Mirza | Nicolas Boulanger-Lewandowski | Xavier Bouthillier | P. Carrier | Yann Dauphin | Guillaume Desjardins | S. Kahou | Sébastien Jean | R. Memisevic | C. Pal | David Warde-Farley | Emmanuel Bengio | Atousa Torabi | Pierre Froumenty | Abhishek Aggarwal | Jeremie Zumer | Jean-Philippe Raymond | Arjun Sharma | K. Konda | Zhenzhou Wu | Mehdi Mirza | Y. Dauphin
[1] Sébastien Marcel,et al. Lighting Normalization Algorithms for Face Verification , 2005 .
[2] Vitomir Struc,et al. Gabor-Based Kernel Partial-Least-Squares Discrimination Features for Face Recognition , 2009, Informatica.
[3] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[4] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[5] Quoc V. Le,et al. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis , 2011, CVPR 2011.
[6] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[7] Vitomir Struc,et al. Photometric Normalization Techniques for Illumination Invariance , 2011 .
[8] Douglas Eck,et al. Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio , 2011, ISMIR.
[9] Tamás D. Gedeon,et al. Collecting Large, Richly Annotated Facial-Expression Databases from Movies , 2012, IEEE MultiMedia.
[10] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[11] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[12] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[13] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Tara N. Sainath,et al. Improving deep neural networks for LVCSR using rectified linear units and dropout , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[16] Abhinav Dhall,et al. Emotion recognition in the wild challenge 2013 , 2013, ICMI '13.
[17] Roland Memisevic,et al. The role of spatio-temporal synchrony in the encoding of motion , 2013, ICLR.
[18] Tamás D. Gedeon,et al. Emotion Recognition In The Wild Challenge 2014: Baseline, Data and Protocol , 2014, ICMI.