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Title : PhD Student
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Publication list (13).
[2014ACLI2410] - Sénéchal, T. and Bailly, K. and Prevost, L. (2014). Impact of Action Unit Detection in Automatic Emotion Recognition.
Pattern Analysis and Applications. Vol 17 No 1 Pages 51-67.
[ BIB ]
[2013ACLI2838] - Rapp, V. and Bailly, K. and Sénéchal, T. and Prevost, L. (2013). Multi-Kernel Appearance Model .
Image and Vision Computing. Vol 31 No 8 Pages 542-554.
[ PDF | BIB ]
[2012ACLI2365] - Sénéchal, T and Rapp, V. and Salam, H. and Seguier, R. and Bailly, K. and Prevost, L. (2012). Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning.
IEEE Transactions on Systems, Man, and Cybernetics--Part B. Vol 42 No 4 Pages 993-1005 .
[ BIB ]
[2012ACTN2194] - Rapp, V. and Sénéchal, T. and Bailly, K. and Prevost, L. (2012). Machine à Vecteurs Supports Multi-Noyau pour la détection de points caractéristiques du visage.
Reconnaissance des Formes et Intelligence Artificielle (RFIA'12). Pages 1-8. Lyon, France.
[ PDF | BIB ]
[2012ACTN2195] - Rapp, V. and Sénéchal, T. and Salam, H. and Prevost, L. and Seguier, R. and Bailly, K. (2012). Combinaison de Descripteurs Hétérogènes pour la Reconnaissance de Micro-Mouvements Faciaux..
Reconnaissance des Formes et Intelligence Artificielle (RFIA'12). Pages 1,8. Lyon, France.
[ PDF | BIB ]
[2011ACTI1842] - Rapp, V. and Sénéchal, T. and Bailly, K. and Prevost, L. (2011). Multiple Kernel Learning SVM and Statistical Validation for Facial Landmark Detection.
Proc. of the Int' Conference on Automatic Face and Gesture Recognition (FG'2011). Pages 265-271. Santa Barbara, USA.
[ PDF | BIB ]
[2011ACTI1915] - Sénéchal, T. and Rapp, V. and Salam, H. and Seguier, R. and Bailly, K. and Prevost, L. (2011). Combining LGBP Histograms with AAM coefficients in the Multi-Kernel SVM framework to detect Facial Action Units.
Proc. FG'11, Facial Expression Recognition and Analysis Challenge (FERA'11). Pages 860-865. Santa Barbara, USA.
[ PDF | BIB ]
[2011ACTI2001] - Sénéchal, T. and Rapp, V. and Prevost, L. (2011). Facial feature tracking for Emotional Dynamic Analysis.
Proc. of Advanced Concepts for Intelligent Vision Systems (ACIVS '11). Pages 495-506.
[ PDF | BIB ]
[2011COM2000] - Sénéchal, T. (2011). Challenge FERA, méthode et résultats.
Journée perception et reconnaissance d’actions, GDR ISIS Thème B.
[ BIB ]
[2011THDR2487] - Sénéchal, T. (2011). Ce que le visage révèle : Analyse des mouvements faciaux pour l'interprétation émotionnelle.
. 4 place jussieu, 75005 Paris. Thèse de doctorat. Université Pierre et Marie Curie.
[ BIB ]
[2010ACTI1434] - Sénéchal, T. and Prevost, L. and Muhammad Hanif, S. (2010). Neural network cascade for facial feature localization.
Artificial Neural Networks for Pattern Recognition, Springer, publisher.
[ BIB ]
[2010ACTI1736] - Sénéchal, T. and Bailly, K. and Prevost, L. (2010). Automatic Facial Action Detection Using Histogram Variation Between Emotional States.
Proc. of Int'l Conference on Pattern Recognition (ICPR10), IEEE Computer Society, publisher. Pages 3752-3755. Istanbul, Turkey.
[ PDF | BIB ]
[2009ACTN1019] - Sénéchal, T. and Prevost, L. (2009). Réseaux de neurones en cascade pour la localisation précise des points caractéristiques du visage.
Traitement et Analyse de l'Information : Méthodes et Applications.
[ BIB ]
2014
[2014ACLI2410] - Sénéchal, T. and Bailly, K. and Prevost, L. (2014). Impact of Action Unit Detection in Automatic Emotion Recognition.
Pattern Analysis and Applications. Vol 17 No 1 Pages 51-67.
[ BIB ]
2013
[2013ACLI2838] - Rapp, V. and Bailly, K. and Sénéchal, T. and Prevost, L. (2013). Multi-Kernel Appearance Model .
Image and Vision Computing. Vol 31 No 8 Pages 542-554.
[ PDF | BIB ]
2012
[2012ACLI2365] - Sénéchal, T and Rapp, V. and Salam, H. and Seguier, R. and Bailly, K. and Prevost, L. (2012). Facial Action Recognition Combining Heterogeneous Features via Multi-Kernel Learning.
IEEE Transactions on Systems, Man, and Cybernetics--Part B. Vol 42 No 4 Pages 993-1005 .
[ BIB ]
[2012ACTN2194] - Rapp, V. and Sénéchal, T. and Bailly, K. and Prevost, L. (2012). Machine à Vecteurs Supports Multi-Noyau pour la détection de points caractéristiques du visage.
Reconnaissance des Formes et Intelligence Artificielle (RFIA'12). Pages 1-8. Lyon, France.
[ PDF | BIB ]
[2012ACTN2195] - Rapp, V. and Sénéchal, T. and Salam, H. and Prevost, L. and Seguier, R. and Bailly, K. (2012). Combinaison de Descripteurs Hétérogènes pour la Reconnaissance de Micro-Mouvements Faciaux..
Reconnaissance des Formes et Intelligence Artificielle (RFIA'12). Pages 1,8. Lyon, France.
[ PDF | BIB ]
2011
[2011ACTI1842] - Rapp, V. and Sénéchal, T. and Bailly, K. and Prevost, L. (2011). Multiple Kernel Learning SVM and Statistical Validation for Facial Landmark Detection.
Proc. of the Int' Conference on Automatic Face and Gesture Recognition (FG'2011). Pages 265-271. Santa Barbara, USA.
[ PDF | BIB ]
[2011ACTI1915] - Sénéchal, T. and Rapp, V. and Salam, H. and Seguier, R. and Bailly, K. and Prevost, L. (2011). Combining LGBP Histograms with AAM coefficients in the Multi-Kernel SVM framework to detect Facial Action Units.
Proc. FG'11, Facial Expression Recognition and Analysis Challenge (FERA'11). Pages 860-865. Santa Barbara, USA.
[ PDF | BIB ]
[2011ACTI2001] - Sénéchal, T. and Rapp, V. and Prevost, L. (2011). Facial feature tracking for Emotional Dynamic Analysis.
Proc. of Advanced Concepts for Intelligent Vision Systems (ACIVS '11). Pages 495-506.
[ PDF | BIB ]
[2011COM2000] - Sénéchal, T. (2011). Challenge FERA, méthode et résultats.
Journée perception et reconnaissance d’actions, GDR ISIS Thème B.
[ BIB ]
[2011THDR2487] - Sénéchal, T. (2011). Ce que le visage révèle : Analyse des mouvements faciaux pour l'interprétation émotionnelle.
. 4 place jussieu, 75005 Paris. Thèse de doctorat. Université Pierre et Marie Curie.
[ BIB ]
2010
[2010ACTI1434] - Sénéchal, T. and Prevost, L. and Muhammad Hanif, S. (2010). Neural network cascade for facial feature localization.
Artificial Neural Networks for Pattern Recognition, Springer, publisher.
[ BIB ]
[2010ACTI1736] - Sénéchal, T. and Bailly, K. and Prevost, L. (2010). Automatic Facial Action Detection Using Histogram Variation Between Emotional States.
Proc. of Int'l Conference on Pattern Recognition (ICPR10), IEEE Computer Society, publisher. Pages 3752-3755. Istanbul, Turkey.
[ PDF | BIB ]
2009
[2009ACTN1019] - Sénéchal, T. and Prevost, L. (2009). Réseaux de neurones en cascade pour la localisation précise des points caractéristiques du visage.
Traitement et Analyse de l'Information : Méthodes et Applications.
[ BIB ]