| 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 | 328 | 2012 |
| 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 | 235 | 2019 |
| 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 | 213 | 2017 |
| 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 | 211 | 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 | 203 | 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 | 167 | 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 | 138 | 2007 |
| An excel add-in for computing Bjontegaard metric and its evolution S Pateux, J Jung ITU-T SG16 Q 6 (7), 7, 2007 | 128 | 2007 |
| Wavefront parallel processing for HEVC encoding and decoding G Clare, F Henry, S Pateux document JCTVC-F274, 2011 | 124 | 2011 |
| Wavefront parallel processing F Henry, S Pateux Joint collaborative team on video coding (JCT-VC), document JCTVC-E196, Geneva, 2011 | 96 | 2011 |
| 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 | 83 | 2022 |
| 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 | 66 | 2018 |
| 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 | 61 | 2014 |
| 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 | 61 | 2001 |
| Efficient progressive neural architecture search JM Perez-Rua, M Baccouche, S Pateux arXiv preprint arXiv:1808.00391, 2018 | 57 | 2018 |
| Squeezing backbone feature distributions to the max for efficient few-shot learning Y Hu, S Pateux, V Gripon Algorithms 15 (5), 147, 2022 | 43 | 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 | 37 | 2003 |
| 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 | 36 | 2018 |
| 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 | 36 | 2010 |
| Multilevel sensor fusion with deep learning V Vielzeuf, A Lechervy, S Pateux, F Jurie IEEE sensors letters 3 (1), 1-4, 2018 | 34 | 2018 |
