frédéric Comby
frédéric Comby
maître de conférence, Université Montpellier II
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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
Yedroudj-net: An efficient CNN for spatial steganalysis
M Yedroudj, F Comby, M Chaumont
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
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
Fuzzy edge detection for omnidirectional images
F Jacquey, F Comby, O Strauss
Fuzzy sets and Systems 159 (15), 1991-2010, 2008
Variable structuring element based fuzzy morphological operations for single viewpoint omnidirectional images
O Strauss, F Comby
Pattern Recognition 40 (12), 3578-3596, 2007
How to augment a small learning set for improving the performances of a CNN-based steganalyzer?
M Yedroudj, M Chaumont, F Comby
Electronic Imaging 2018 (7), 317-1-317-7, 2018
Rough histograms for robust statistics
O Strauss, F Comby, MJ Aldon
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
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
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
A CNN adapted to time series for the classification of Supernovae
A Brunel, J Pasquet, J PASQUET, N Rodriguez, F Comby, D Fouchez, ...
Electronic imaging 2019 (14), 90-1-90-9, 2019
Fuzzy morphology for omnidirectional images
O Strauss, F Comby
ICIP: International Conference on Image Processing, II. 141-II. 144, 2005
Source camera model identification using features from contaminated sensor noise
A Tuama, F Comby, M Chaumont
International Workshop on Digital Watermarking, 83-93, 2015
High dynamic range images from digital cameras raw data
G Joffre, W Puech, F Comby, J Joffre
ACM SIGGRAPH 2005 Posters, 72-es, 2005
Steganography using a 3-player game
M Yedroudj, F Comby, M Chaumont
Journal of Visual Communication and Image Representation 72, 102910, 2020
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
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
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
Fuzzy approach of motion estimation
F Comby, O Strauss, MJ Aldon
10th IEEE International Conference on Fuzzy Systems.(Cat. No. 01CH37297) 2 …, 2001
Possibility theory and rough histograms for motion estimation in a video sequence
F Comby, O Strauss, MJ Aldon
International Workshop on Visual Form, 473-483, 2001
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
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