C
Christophe Garcia
Researcher at University of Lyon
Publications - 184
Citations - 6161
Christophe Garcia is an academic researcher from University of Lyon. The author has contributed to research in topics: Facial recognition system & Artificial neural network. The author has an hindex of 32, co-authored 179 publications receiving 5684 citations. Previous affiliations of Christophe Garcia include Orange S.A. & Intelligence and National Security Alliance.
Papers
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Book ChapterDOI
Sequential deep learning for human action recognition
TL;DR: A fully automated deep model, which learns to classify human actions without using any prior knowledge is proposed, which outperforms existing deep models, and gives comparable results with the best related works.
Journal ArticleDOI
Face detection using quantized skin color regions merging and wavelet packet analysis
TL;DR: An efficient and reliable probabilistic metric derived from the Bhattacharrya distance is used in order to classify the extracted feature vectors into face or nonface areas, using some prototype face area vectors, acquired in a previous training stage.
Journal ArticleDOI
Convolutional face finder: a neural architecture for fast and robust face detection
Christophe Garcia,M. Delakis +1 more
TL;DR: It is shown that an efficient face detection system does not require any costly local preprocessing before classification of image areas, and provides very high detection rate with a particularly low level of false positives, demonstrated on difficult test sets, without requiring the use of multiple networks for handling difficult cases.
Book ChapterDOI
The Visual Object Tracking VOT2014 challenge results
Matej Kristan,Roman Pflugfelder,Ales Leonardis,Jiri Matas,Luka Cehovin,Georg Nebehay,Tomas Vojir,Gustavo Fernandez,Alan Lukezic,Aleksandar Dimitriev,Alfredo Petrosino,Amir Saffari,Bo Li,Bohyung Han,Cherkeng Heng,Christophe Garcia,Dominik Pangersic,Gustav Häger,Fahad Shahbaz Khan,Franci Oven,Horst Possegger,Horst Bischof,Hyeonseob Nam,Jianke Zhu,Jijia Li,Jin-Young Choi,Jin-Woo Choi,João F. Henriques,Joost van de Weijer,Jorge Batista,Karel Lebeda,Kristoffer Öfjäll,Kwang Moo Yi,Lei Qin,Longyin Wen,Mario Edoardo Maresca,Martin Danelljan,Michael Felsberg,Ming-Ming Cheng,Philip H. S. Torr,Qingming Huang,Richard Bowden,Sam Hare,Samantha Yueying Lim,Seunghoon Hong,Shengcai Liao,Simon Hadfield,Stan Z. Li,Stefan Duffner,Stuart Golodetz,Thomas Mauthner,Vibhav Vineet,Weiyao Lin,Yang Li,Yuankai Qi,Zhen Lei,Zhiheng Niu +56 more
TL;DR: The evaluation protocol of the VOT2013 challenge and the results of a comparison of 27 trackers on the benchmark dataset are presented, offering a more systematic comparison of the trackers.
Book ChapterDOI
The 2005 PASCAL visual object classes challenge
Mark Everingham,Andrew Zisserman,Christopher Williams,Luc Van Gool,Moray Allan,Christopher M. Bishop,Olivier Chapelle,Navneet Dalal,Thomas Deselaers,Gyuri Dorkó,Stefan Duffner,J Eichhorn,Jason Farquhar,Mario Fritz,Christophe Garcia,Tom Griffiths,Frédéric Jurie,Daniel Keysers,Markus Koskela,Jorma Laaksonen,Diane Larlus,Bastian Leibe,Hongying Meng,Hermann Ney,Bernt Schiele,Cordelia Schmid,Edgar Seemann,John Shawe-Taylor,Amos Storkey,Sandor Szedmak,Bill Triggs,Ilkay Ulusoy,Ville Viitaniemi,Jianguo Zhang +33 more
TL;DR: The PASCAL Visual Object Classes Challenge (PASCALVOC) as mentioned in this paper was held from February to March 2005 to recognize objects from a number of visual object classes in realistic scenes (i.e. not pre-segmented objects).