Stephane Pateux
Stephane Pateux
Ingénieur de recherche, Orange
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Cited by
Cited by
Parallel scalability and efficiency of HEVC parallelization approaches
CC Chi, M Alvarez-Mesa, B Juurlink, G Clare, F Henry, S Pateux, T Schierl
IEEE Transactions on circuits and systems for video technology 22 (12), 1827 …, 2012
Temporal multimodal fusion for video emotion classification in the wild
V Vielzeuf, S Pateux, F Jurie
Proceedings of the 19th ACM International Conference on Multimodal …, 2017
Mfas: Multimodal fusion architecture search
JM Pérez-Rúa, V Vielzeuf, S Pateux, M Baccouche, F Jurie
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Centralnet: a multilayer approach for multimodal fusion
V Vielzeuf, A Lechervy, S Pateux, F Jurie
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
Leveraging the feature distribution in transfer-based few-shot learning
Y Hu, V Gripon, S Pateux
International Conference on Artificial Neural Networks, 487-499, 2021
Optimized rate-distortion extraction with quality layers in the scalable extension of H. 264/AVC
I Amonou, N Cammas, S Kervadec, SÉ Pateux
IEEE Transactions on Circuits and Systems for Video Technology 17 (9), 1186-1193, 2007
System and transport interface of SVC
YK Wang, MM Hannuksela, S Pateux, A Eleftheriadis, S Wenger
IEEE Transactions on Circuits and Systems for Video Technology 17 (9), 1149-1163, 2007
An excel add-in for computing Bjontegaard metric and its evolution
S Pateux, J Jung
ITU-T SG16 Q 6 (7), 7, 2007
Wavefront parallel processing for HEVC encoding and decoding
G Clare, F Henry, S Pateux
document JCTVC-F274, 2011
Wavefront parallel processing
F Henry, S Pateux
Joint collaborative team on video coding (JCT-VC), document JCTVC-E196, Geneva, 2011
Embedded multiple description coding for progressive image transmission over unreliable channels
T Guionnet, C Guillemot, S Pateux
Proceedings 2001 International Conference on Image Processing (Cat. No …, 2001
An occam's razor view on learning audiovisual emotion recognition with small training sets
V Vielzeuf, C Kervadec, S Pateux, A Lechervy, F Jurie
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
Easy—ensemble augmented-shot-y-shaped learning: State-of-the-art few-shot classification with simple components
Y Bendou, Y Hu, R Lafargue, G Lioi, B Pasdeloup, S Pateux, V Gripon
Journal of Imaging 8 (7), 179, 2022
Method and a device for filling occluded areas of a depth or disparity map estimated from at least two images
D Alessandrini, R Balter, S Pateux
US Patent 8,817,069, 2014
Efficient progressive neural architecture search
JM Perez-Rua, M Baccouche, S Pateux
arXiv preprint arXiv:1808.00391, 2018
Squeezing backbone feature distributions to the max for efficient few-shot learning
Y Hu, S Pateux, V Gripon
Algorithms 15 (5), 147, 2022
Practical watermarking scheme based on wide spread spectrum and game theory
S Pateux, G Le Guelvouit
Signal processing: Image communication 18 (4), 283-296, 2003
Description of video coding technology proposal by France Telecom, NTT, NTT DOCOMO, Panasonic and Technicolor
I Amonou, N Cammas, G Clare, J Jung, L Noblet, S Pateux, S Matsuo, ...
ITU-T SG16 WP3 and ISOIIEC JTCIISC29NVG11, Document JCTVC-A114, Dresden, DE, 2010
Motion compensated 2D+ t wavelet analysis for low rate fgs video compression
J Viéron, C Guillemot, S Pateux
Proc. of Tyrrhenian Intern. Workshop on Digital Comm, 2002
Cake: Compact and accurate k-dimensional representation of emotion
C Kervadec, V Vielzeuf, S Pateux, A Lechervy, F Jurie
arXiv preprint arXiv:1807.11215, 2018
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