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frédéric Comby
frédéric Comby
maître de conférence, Université Montpellier II
E-mail confirmado em lirmm.fr
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Yedroudj-net: An efficient CNN for spatial steganalysis
M Yedroudj, F Comby, M Chaumont
2018 IEEE international conference on acoustics, speech and signal …, 2018
2742018
Camera model identification with the use of deep convolutional neural networks
A Tuama, F Comby, M Chaumont
2016 IEEE International workshop on information forensics and security (WIFS …, 2016
2652016
Camera model identification based machine learning approach with high order statistics features
A Tuama, F Comby, M Chaumont
2016 24th European Signal Processing Conference (EUSIPCO), 1183-1187, 2016
552016
How to augment a small learning set for improving the performances of a CNN-based steganalyzer?
M Yedroudj, M Chaumont, F Comby
arXiv preprint arXiv:1801.04076, 2018
422018
Fuzzy edge detection for omnidirectional images
F Jacquey, F Comby, O Strauss
Fuzzy sets and Systems 159 (15), 1991-2010, 2008
402008
Variable structuring element based fuzzy morphological operations for single viewpoint omnidirectional images
O Strauss, F Comby
Pattern Recognition 40 (12), 3578-3596, 2007
392007
Steganography using a 3-player game
M Yedroudj, F Comby, M Chaumont
Journal of Visual Communication and Image Representation 72, 102910, 2020
342020
A CNN adapted to time series for the classification of Supernovae
A Brunel, J Pasquet, J Pasquet, N Rodriguez, F Comby, D Fouchez, ...
arXiv preprint arXiv:1901.00461, 2019
342019
Multibeam sonar image matching for terrain-based underwater navigation
O Strauss, F Comby, MJ Aldon
Oceans' 99. MTS/IEEE. Riding the Crest into the 21st Century. Conference and …, 1999
271999
Rough histograms for robust statistics
O Strauss, F Comby, MJ Aldon
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
262000
Pixels-off: Data-augmentation complementary solution for deep-learning steganalysis
M Yedroudj, M Chaumont, F Comby, A Oulad Amara, P Bas
Proceedings of the 2020 ACM workshop on information hiding and multimedia …, 2020
252020
Non-additive approach for gradient-based edge detection
F Jacquey, K Loquin, F Comby, O Strauss
2007 IEEE International Conference on Image Processing 3, III-49-III-52, 2007
222007
Source camera model identification using features from contaminated sensor noise
A Tuama, F Comby, M Chaumont
Digital-Forensics and Watermarking: 14th International Workshop, IWDW 2015 …, 2016
172016
Fuzzy morphology for omnidirectional images.
O Strauss, F Comby
ICIP (2), 141-144, 2005
172005
High dynamic range images from digital cameras raw data
G Joffre, W Puech, F Comby, J Joffre
ACM SIGGRAPH 2005 Posters, 72-es, 2005
162005
Analysis of the scalability of a deep-learning network for steganography “Into the Wild”
H Ruiz, M Chaumont, M Yedroudj, AO Amara, F Comby, G Subsol
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
132021
Highly specific pose estimation with a catadioptric omnidirectional camera
B Magnier, F Comby, O Strauss, J Triboulet, C Demonceaux
2010 IEEE International Conference on Imaging Systems and Techniques, 229-233, 2010
112010
Non-additive approach for omnidirectional image gradient estimation
F Jacquey, F Comby, O Strauss
2007 IEEE 11th International Conference on Computer Vision, 1-6, 2007
102007
Using quasi-continuous histograms for fuzzy main motion estimation in video sequence
F Comby, O Strauss
Fuzzy Sets and Systems 158 (5), 475-495, 2007
102007
Non-additive imprecise image super-resolution in a semi-blind context
F Graba, F Comby, O Strauss
IEEE Transactions on Image Processing 26 (3), 1379-1392, 2016
92016
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