Rough Histograms for Robust Statistics. - Olivier Strauss; Frédéric Comby; Marie-José Aldon (ICPR, 2000)

Fuzzy Approach of Motion Estimation. - Frédéric Comby; Olivier Strauss; Marie-José Aldon (FUZZ-IEEE, 2001)

Possibility Theory and Rough Histograms for Motion Estimation in a Video Sequence. - Frédéric Comby; Olivier Strauss; Marie-José Aldon (IWVF, 2001)

Estimation du mouvement apparent majoritaire dans une séquence d'images vidéo par accumulation de votes bimodaux sur un histogramme approché. (Main Apparent Motion Estimation in a Video Sequence Using an Accumulation of Bi-Modal Votes on a Rough Histogram). - Frédéric Comby (2001)

Template Tracking using Generalized Modus Tollens. - Olivier Strauss; Frédéric Comby (FUZZ-IEEE, 2005)

Fuzzy morphology for omnidirectional images. - Olivier Strauss; Frédéric Comby (ICIP (2), 2005)

High dynamic range images from digital cameras raw data. - Géraldine Joffre; William Puech; Frédéric Comby; Jacques Joffre (SIGGRAPH Posters, 2005)

Non-additive Approach for Omnidirectional Image Gradient Estimation. - Florence Jacquey; Frédéric Comby; Olivier Strauss (ICCV, 2007)

Non-Additive Approach for Gradient-Based Edge Detection. - Florence Jacquey; Kevin Loquin; Frédéric Comby; Olivier Strauss (ICIP (3), 2007)

Using quasi-continuous histograms for fuzzy main motion estimation in video sequence. - Frédéric Comby; Olivier Strauss (Fuzzy Sets Syst., 2007)

Variable structuring element based fuzzy morphological operations for single viewpoint omnidirectional images. - Olivier Strauss; Frédéric Comby (Pattern Recognit., 2007)

Fuzzy edge detection for omnidirectional images. - Florence Jacquey; Frédéric Comby; Olivier Strauss (Fuzzy Sets Syst., 2008)

Guaranteed reconstruction for image super-resolution. - Fares Graba; Kevin Loquin; Frédéric Comby; Olivier Strauss (FUZZ-IEEE, 2013)

Non-additive imprecise image super-resolution. - Fares Graba; Frédéric Comby; Olivier Strauss (ICIP, 2014)

Automatic generation of video from digital paintings for cultural heritage. - Pol Kennel; Frédéric Comby; William Puech (IPTA, 2015)

Source Camera Model Identification Using Features from Contaminated Sensor Noise. - Amel Tuama; Frédéric Comby; Marc Chaumont (IWDW, 2015)

Camera model identification based machine learning approach with high order statistics features. - Amel Tuama; Frédéric Comby; Marc Chaumont (EUSIPCO, 2016)

Camera model identification with the use of deep convolutional neural networks. - Amel Tuama; Frédéric Comby; Marc Chaumont (WIFS, 2016)

Visual Saliency for the Visualization of Digital Paintings. - Pol Kennel; Frédéric Comby; William Puech (Visual Content Indexing and Retrieval with Psycho-Visual Models, 2017)

Regularized selection: A new paradigm for inverse based regularized image reconstruction techniques. - Florentin Kucharczak; Cyril Mory; Olivier Strauss; Frédéric Comby; Denis Mariano-Goulart (ICIP, 2017)

Visualization framework of digital paintings based on visual saliency for cultural heritage. - Pol Kennel; William Puech; Frédéric Comby (Multim. Tools Appl., 2017)

Non-Additive Imprecise Image Super-Resolution in a Semi-Blind Context. - Fares Graba; Frédéric Comby; Olivier Strauss (IEEE Trans. Image Process., 2017)

Yedroudj-Net: An Efficient CNN for Spatial Steganalysis. - Mehdi Yedroudj; Frédéric Comby; Marc Chaumont (ICASSP, 2018)

How to augment a small learning set for improving the performances of a CNN-based steganalyzer? - Mehdi Yedroudj; Marc Chaumont; Frédéric Comby (Media Watermarking, Security, and Forensics, 2018)

Yedrouj-Net: An efficient CNN for spatial steganalysis. - Mehdi Yedroudj; Frédéric Comby; Marc Chaumont (CoRR, 2018)

A CNN adapted to time series for the classification of Supernovae. - Anthony Brunel; Johanna Pasquet; Jérôme Pasquet; Nancy Rodriguez 001; Frédéric Comby; Dominique Fouchez; Marc Chaumont (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2019)

Analysis of the Scalability of a Deep-Learning Network for Steganography "Into the Wild". - Hugo Ruiz; Marc Chaumont; Mehdi Yedroudj; Ahmed Oulad Amara; Frédéric Comby; Gérard Subsol (ICPR Workshops (6), 2020)

LSSD: A Controlled Large JPEG Image Database for Deep-Learning-Based Steganalysis "Into the Wild". - Hugo Ruiz; Mehdi Yedroudj; Marc Chaumont; Frédéric Comby; Gérard Subsol (ICPR Workshops (6), 2020)

Pixels-off: Data-augmentation Complementary Solution for Deep-learning Steganalysis. - Mehdi Yedroudj; Marc Chaumont; Frédéric Comby; Ahmed Oulad Amara; Patrick Bas (IH&MMSec, 2020)

Steganography using a 3-player game. - Mehdi Yedroudj; Frédéric Comby; Marc Chaumont (J. Vis. Commun. Image Represent., 2020)

Lossless Satellite Data Compression for Real-Time Navigation of Autonomous Vehicles. - Arnaud Soulier; Pauline Puteaux; Frédéric Comby; William Puech (MMSP, 2021)

A Study on the Invariance in Security Whatever the Dimension of Images for the Steganalysis by Deep-Learning. - Kévin Planolles; Marc Chaumont; Frédéric Comby (ICASSP, 2023)

Astronomical image time series classification using CONVolutional attENTION (ConvEntion). - Anass Bairouk; Marc Chaumont; Dominique Fouchez; Jérôme Pasquet; Frédéric Comby; Julián Bautista (CoRR, 2023)

Self Calibration of a Sonar-Vision System for Underwater Vehicles: A New Method and a Dataset. - Nicolas Pecheux; Vincent Creuze; Frédéric Comby; Olivier Tempier (Sensors, 2023)

Suppressing Impulse Noise via Cloud Filtering. - Olivier Strauss; Frédéric Comby; Sébastien Destercke (IPMU (3), 2024)