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Lionel Pibre
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2020 – today
- 2023
- [j1]Lionel Pibre
, Francisco Madrigal, Cyrille Equoy, Frédéric Lerasle, Thomas Pellegrini, Julien Pinquier, Isabelle Ferrané:
Audio-video fusion strategies for active speaker detection in meetings. Multim. Tools Appl. 82(9): 13667-13688 (2023) - 2022
- [c5]Lionel Pibre, Jérôme Pasquet, Vincent Douzal, Claire Noël:
New Active Learning Approach for Seabed Segmentation. ICIP 2022: 2736-2740 - [i2]Lionel Pibre, Francisco Madrigal, Cyrille Equoy, Frédéric Lerasle, Thomas Pellegrini, Julien Pinquier, Isabelle Ferrané:
Audio-video fusion strategies for active speaker detection in meetings. CoRR abs/2206.10411 (2022) - 2021
- [c4]Lionel Pibre, Sélim Mechrouh, Thomas Pellegrini, Julien Pinquier, Isabelle Ferrané:
Automatic macro segmentation into interaction sequence: a silence-based approach for meeting structuring. CBMI 2021: 1-4 - 2020
- [c3]Francisco Madrigal, Frédéric Lerasle, Lionel Pibre, Isabelle Ferrané:
Audio-Video detection of the active speaker in meetings. ICPR 2020: 2536-2543
2010 – 2019
- 2018
- [b1]Lionel Pibre:
Localisation d'objets urbains à partir de sources multiples dont des images aériennes. (Localization of urban objects from multiple sources, including aerial imagery). University of Montpellier, France, 2018 - 2017
- [c2]Lionel Pibre, Marc Chaumont
, Gérard Subsol, Dino Ienco, Mustapha Derras:
How to deal with multi-source data for tree detection based on deep learning. GlobalSIP 2017: 1150-1154 - 2016
- [c1]Lionel Pibre, Jérôme Pasquet, Dino Ienco
, Marc Chaumont:
Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover sourcemismatch. Media Watermarking, Security, and Forensics 2016: 1-11 - 2015
- [i1]Lionel Pibre, Jérôme Pasquet, Dino Ienco, Marc Chaumont:
Deep Learning for steganalysis is better than a Rich Model with an Ensemble Classifier, and is natively robust to the cover source-mismatch. CoRR abs/1511.04855 (2015)
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