Fetching the paper…
Reading the bibliography…
The goal of the present study is to explore the application of deep convolutional network features to emotion recognition.
P. Ekman and W. V. Friesen, “Facial action coding system: A technique for the measurement of facial movement. palo alto,” 1978
1978
Earlier work this paper cites.
G. Bradski, “The opencv library,” Dr. Dobbs Journal of Software Tools
2000
Earlier work this paper cites.
T. F. Cootes, G. J. Edwards, C. J. Taylor, et al
2001
Earlier work this paper cites.
P. Viola and M. Jones, “Rapid object detection using a boosted cascade of simple features,” in Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
2001
Earlier work this paper cites.
C.-W. Hsu and C.-J. Lin, “A comparison of methods for multiclass support vector machines,” Neural Networks, IEEE Transactions on
2002
Earlier work this paper cites.
R. Soussignan, “Duchenne smile, emotional experience, and autonomic reactivity: a test of the facial feedback hypothesis.,” Emotion
2002
Earlier work this paper cites.
B. Fasel and J. Luettin, “Automatic facial expression analysis: a survey,” Pattern Recognition
2003
Earlier work this paper cites.
A. Bosch, A. Zisserman, and X. Munoz, “Representing shape with a spatial pyramid kernel,” in Proceedings of the 6th ACM international conference on Image and video retrieval
2007
Cited alongside, same era.
G. Zhao and M. Pietikainen, “Dynamic texture recognition using local binary patterns with an application to facial expressions,” Pattern Analysis and Machine Intelligence, IEEE Transactions on
2007
Cited alongside, same era.
R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin, “LIBLINEAR: A library for large linear classification,” Journal of Machine Learning Research
2008
Cited alongside, same era.
P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar, and I. Matthews, “The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression,” in Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
2010
Cited alongside, same era.
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks.,” in NIPS
2012
Later among the works it cites.
D. Ciresan, U. Meier, and J. Schmidhuber, “Multi-column deep neural networks for image classification,” in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
2012
Later among the works it cites.
R. A. Khan, A. Meyer, H. Konik, and S. Bouakaz, “Human vision inspired framework for facial expressions recognition,” in Image Processing (ICIP), 2012 19th IEEE International Conference on
2012
Later among the works it cites.
2013
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
C.-C. Chang and C.-J. Lin, “LIBSVM: A library for support vector machines,” ACM Transactions on Intelligent Systems and Technology
2011
Cited alongside, same era.
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay, “Scikit-learn: Machine learning in Python,” Journal of Machine Learning Research
2011
Cited alongside, same era.
2013
Later among the works it cites.
L. A. Jeni, J. M. Girard, J. F. Cohn, and F. De La Torre, “Continuous au intensity estimation using localized, sparse facial feature space,” in Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on
2013
Later among the works it cites.