Marc Chaumont
Publications
Publications
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An improved architecture for part-based animal re-identification through semantic segmentation distillationThe IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Mar 2026, Tucson (AZ), United States |
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Découverte de sous-parties d'un objet dans une image à partir des proportions partiellesColloque Français d'Intelligence Artificielle en Imagerie Biomédicale ((IABM 2026), Mar 2026, Lyon, France |
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Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: from GIGA to Mini ChallengeICIPW 2025 - IEEE International Conference on Image Processing Workshops, Sep 2025, Anchorage, AK, United States. pp.48-53, ⟨10.1109/ICIPW68931.2025.11385990⟩ |
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SSL based encoder pre-training for segmenting a heterogeneous chronic wound image database with few annotationsDiabetic Foot Ulcers Grand Challenge 2024 @MICCAI, Karim Lekadir; Julia Schnabel, Oct 2024, Marrakech, Morocco. ⟨10.1007/978-3-031-80871-5_6⟩ |
Improving Yolov8 For Fast Few-Shot Object Detection By Dinov2 DistillationICIP 2025 - 32nd IEEE International Conference on Image Processing, Sep 2025, Anchorage, AK, United States. pp.803-808, ⟨10.1109/ICIP55913.2025.11084724⟩ |
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Automated detection of reef fishes on underwater videosInternational Temperate Reefs Symposium, Jul 2025, Brest, France |
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Analyzing Deep-Learning Methods for Power Line Component Detection in Unmanned Aircraft System Imagery With Few DataICUAS 2025 - International Conference on Unmanned Aircraft Systems, May 2025, Charlotte, NC, United States. pp.898-904, ⟨10.1109/ICUAS65942.2025.11007893⟩ |
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Anomaly Detection in Drone Videos for Preventive Maintenance of Power LinesIGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Aug 2025, Brisbane, Australia. pp.7298-7302, ⟨10.1109/IGARSS55030.2025.11243920⟩ |
Vers des algorithmes de segmentation de plaies chroniques économes en données annotéesJournée Cicatrisations 2025, Jan 2025, Paris, France |
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Analyse de l'encodeur pour la segmentation d'une base de données hétérogène de photographies de plaies chroniques avec peu d'annotationsCNIA 2024 - 8e Conférence Nationale en Intelligence Artificielle, PFIA, Jul 2024, La Rochelle, France |
Comparer le paradigme spatial au spatio-temporel pour estimer l’évolution d’indicateurs socio-économiques à partir d’images satellitesCNIA 2024 - 8e Conférence Nationale en Intelligence Artificielle, Plate-Forme Intelligence Artificielle, Jul 2024, La Rochelle, France |
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Adaptation de Yolov8 pour la détection d'objets avec peu d'exemplesCNIA 2024 - 8e Conférence Nationale en Intelligence Artificielle, Plate-Forme Intelligence Artificielle, Jul 2024, La Rochelle, France |
Acoustic and video remote sensing for monitoring and removal of seafloor macrolitter in the Venice Coastal AreaMICRO 2024 - 5th Edition of the International Conference on Plastic Pollution from Macro to Nano, Sep 2024, Lanzarote, Spain |
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Predicting Socio-economic Indicator Variations with Satellite Image Time Series and TransformerMVEO 2024 - Workshop on Machine Vision for Earth Observation and Environment Monitoring, Nov 2024, Glasgow, United Kingdom |
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Gestion du déséquilibre de classe au sein du classifieur de séries d'images astronomiques ConvEntionColloque COmpression et REprésentation des Signaux Audiovisuels (CORESA 2024), Institut National des Sciences Appliquées - Rennes [INSA Rennes], Nov 2024, Rennes, France. 4 p |
Assessing ecosystem functioning through 3D AI-enhanced fish tracking: A Red Sea Case Study11th Indo-Pacific Fish Conference (IPFC) and Annual Conference of the Australian Society for Fish Biology, Australian Society for fish Biology (ASFB), Nov 2023, Auckland, New Zealand |
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From TrashCan to UNO: Deriving an Underwater Image Dataset To Get a More Consistent and Balanced VersionCVAUI 2022 - 5th Workshop on Computer Vision for Analysis of Underwater Imagery @ICPR, Jul 2022, Montreal, Canada. pp.403-414, ⟨10.1007/978-3-031-37731-0_30⟩ |
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The Robotic Seabed Cleaning Platform: An Underwater Cable-Driven Parallel Robot for Marine Litter RemovalCableCon 2023 - 6th International Conference on Cable-Driven Parallel Robots, Stéphane Caro, CNRS, LS2N, Nantes, France (stephane.caro@ls2n.fr); Tobias Bruckmann, University of Duisburg-Essen, Germany (tobias.bruckmann@uni-due.de); Andreas Pott, University of Stuttgart, Germany, (andreas.pott@isw.uni-stuttgart.de), Jun 2023, Nantes, France. pp.430-441, ⟨10.1007/978-3-031-32322-5_35⟩ |
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Ré-identification de chiens à partir de vidéos en environnement non-contrôléGRETSI 2023 - 29. Colloque Francophone de Traitement du Signal et des Images, Jérôme MARS, Gipsa-lab, UGA G-INP; Nicolas LE BIHAN, Gipsa-lab, CNRS, Aug 2023, Grenoble, France |
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Comparing spatial and spatio-temporal paradigms to estimate the evolution of socio-economical indicators from satellite imagesIGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium, Sidharth Misra; Shannon Brown, Jul 2023, Pasadena, CA, United States. pp.5790-5793, ⟨10.1109/IGARSS52108.2023.10282306⟩ |
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Annotation semi-automatique de base de données d'images complexes non standardiséesCORESA 2023 - 22e colloque COmpression et REprésentation des Signaux Audiovisuels, Deise Santana Maia (MCF Université de Lille, CRIStAL); Mohamed Daoudi (PR IMT Nord Europe, CRIStAL); Olivier Losson (MCF Université de Lille, CRIStAL); Benjamin Mathon (MCF Université de Lille, CRIStAL); Marius Bilasco (MCF Université de Lille, CRIStAL), Jun 2023, Lille, France |
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Détection d’anomalies dans des vidéos acquises par drone pour la maintenance préventive de lignes électriquesCORESA 2023 - 22e colloque COmpression et REprésentation des Signaux Audiovisuels, Deise Santana Maia (MCF Université de Lille, CRIStAL); Mohamed Daoudi (PR IMT Nord Europe, CRIStAL); Olivier Losson (MCF Université de Lille, CRIStAL); Benjamin Mathon (MCF Université de Lille, CRIStAL); Ludovic Macaire (PR Université de Lille, CRIStAL); Marius Bilasco (MCF Université de Lille, CRIStAL), Jun 2023, Lille, France |
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Détection d'objets urbains dans des nuages de points LiDARCNIA 2022 - Conférence Nationale en Intelligence Artificielle @PFIA2022, Jun 2022, Saint-Etienne, France |
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Dériver une base de données d'images en une nouvelle version plus cohérente et équilibrée pour de l'apprentissage profondGRETSI 2022 - 28e Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France |
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ConvEntion: Classification des séries chronologiques d'images astronomiques à l'aide d'attention convolutiveGRETSI 2022 - 28e Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. pp.137-140 |
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Analyse de l'évolutivité d'un réseau d'apprentissage profond pour la stéganalyse d'imagesCORESA 2021 - 21e colloque COmpression et REprésentation des Signaux Audiovisuels, Nov 2021, Sophia Antipolis, France |
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Assessment of CNN-based Methods for Poverty Estimation from Satellite ImagesPRRS 2021 - 11th IAPR International Workshop on Pattern Recognition in Remote Sensing, Jan 2021, Milan, Italy. pp.550-565, ⟨10.1007/978-3-030-68787-8_40⟩ |
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Analysis of the Scalability of a Deep-Learning Network for Steganography "Into the WildMMForWILD 2021 - Workshop on MultiMedia FORensics in the WILD, Jan 2021, Virtual (formerly Milan), Italy. pp.439-452, ⟨10.1007/978-3-030-68780-9_36⟩ |
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Coupling underwater autonomous vehicles and automatic video analysis for efficient monitoring of coral reef ecosystems: promises and challengesICRS 2021 - 15th International Coral Reef Symposium, Jul 2021, Bremen (virtual), Germany |
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LSSD: a Controlled Large JPEG Image Database for Deep-Learning-based Steganalysis "into the WildMMForWILD 2020 - Workshop on MultiMedia FORensics in the WILD, Jan 2021, Virtual (formerly Milan), Italy. pp.470-483, ⟨10.1007/978-3-030-68780-9_38⟩ |
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Pixels-off: Data-augmentation Complementary Solution for Deep-learning SteganalysisIH&MMSec 2020 - ACM Workshop on Information Hiding and Multimedia Security, Jun 2020, Denver, United States. pp.39-48, ⟨10.1145/3369412.3395061⟩ |
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A CNN adapted to time series for the classification of SupernovaeEI 2019 - IS&T International Symposium on Electronic Imaging, Jan 2019, Burlingame, CA, United States. pp.90-1-90-9, ⟨10.2352/ISSN.2470-1173.2019.14.COLOR-090⟩ |
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Deep-Learning for the observation of marine/terrestrial life. A case study: the localization and identification of fish speciesChallenges and opportunities in large-scale conservation, Nov 2019, Montpellier, France |
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Stéganographie par CNN et approche jeu à 3 joueursGRETSI 2019 - 27e Colloque francophone de Traitement du Signal et des Images, Aug 2019, Lille, France |
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Pooled Steganalysis in JPEG: how to deal with the spreading strategy?WIFS 2019 - 11th IEEE International Workshop on Information Forensics and Security, Dec 2019, Delft, Netherlands. ⟨10.1109/WIFS47025.2019.9035096⟩ |
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Stéganalyse groupée en JPEG : comment gérer la stratégie d'étalement?GRETSI 2019 - 27e Colloque francophone de Traitement du Signal et des Images, Aug 2019, Lille, France |
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Urban object classification with 3D Deep-LearningJURSE 2019 - Joint Urban Remote Sensing Event, May 2019, Vannes, France. ⟨10.1109/JURSE.2019.8809043⟩ |
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First Experiments of Deep Learning on LiDAR Point Clouds for Classification of Urban ObjectsCFPT: Conférence Française de Photogrammétrie et de Télédétection, Jun 2018, Marne-la-Vallée, France |
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How to Deal with Multi-source Data for Tree Detection Based on Deep Learning5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Nov 2017, Montreal, Canada. pp.1150-1154, ⟨10.1109/GlobalSIP.2017.8309141⟩ |
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A deep learning algorithm for automatic identification of coral reef fish species on imagesWCMB 2018 - 4th World Conference on Marine Biodiversity, May 2018, Montréal, Canada |
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Yedroudj-Net: An Efficient CNN for Spatial SteganalysisICASSP: International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada. pp.2092-2096, ⟨10.1109/ICASSP.2018.8461438⟩ |
Détection de regards de visite sur des images à haute résolution spatiale par une méthode d'apprentissageTEMU: Télédétection pour l'Etude des Milieux Urbains, Mar 2018, Strasbourg, France |
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Classification d'objets urbains à partir de données LiDAR 3D terrestre par Deep-LearningSAGEO 2018 - Conférence internationale francophone Spatial Analysis and GEOmatics, Nov 2018, Montpellier, France |
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The emergence of Deep Learning in steganography and steganalysisJournée " Stéganalyse : Enjeux et Méthodes", labelisée par le GDR ISIS et le pré-GDR sécurité, Philippe Carré (XLIM, Poitiers); Marianne Clausel (IECL,Nancy); Farida Enikeeva (LMA, Poitiers); Laurent Navarro (CIS-EMSE, St Etienne), Jan 2018, Poitiers, France. ⟨10.13140/RG.2.2.35080.32005⟩ |
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Quantitative and Binary Steganalysis in JPEG: A Comparative StudyEUSIPCO: European Signal Processing Conference, Sep 2018, Rome, Italy. pp.1422-1426 |
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Yedroudj-Net : un réseaux de neurones efficace pour la stéganalyse spatialeCORESA: COmpression et REprésentation des Signaux Audiovisuels, C. Charrier (GREYC, Université de Caen Normandie); C. Rosenberger (GREYC, ENSICAEN), Nov 2017, Caen, France |
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Camera Model Identification With The Use of Deep Convolutional Neural NetworksWIFS: Workshop on Information Forensics and Security, Dec 2016, Abu Dhabi, United Arab Emirates. ⟨10.1109/WIFS.2016.7823908⟩ |
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Cart'Eaux: an automatic mapping procedure for wastewater networks using machine learning and data miningAGU2017 Fall Meeting, Dec 2017, New-Orleans, United States |
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Automatic reconstruction of urban wastewater and stormwater networks based on uncertain manhole cover locationsICUD: International Conference on Urban Drainage, Sep 2017, Prague, Czech Republic. pp.2345-2352 |
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Stéganographie et Stéganalyse des images JPEG CouleurCORESA: COmpression et REprésentation des Signaux Audiovisuels, C. Charrier (GREYC, Université de Caen Normandie); C. Rosenberger (GREYC, ENSICAEN), Nov 2017, Caen, France |
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Manhole Cover Localization in Aerial Images with a Deep Learning ApproachISPRS Hannover Workshop: HRIGI 17 – CMRT 17 – ISA 17 – EuroCOW 17, Jun 2017, Hannover, Germany. pp.333-338, ⟨10.5194/isprs-archives-XLII-1-W1-333-2017⟩ |
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Source Camera Model Identification Using Features from contaminated Sensor NoiseIWDW 2015 - 14th International Workshop on Digital Watermarking, Oct 2015, Tokyo, Japan. pp.83-93, ⟨10.1007/978-3-319-31960-5_8⟩ |
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Color Image Steganalysis Based On Steerable Gaussian Filters BankIH&MMSec: Information Hiding and Multimedia Security, Jun 2016, Vigo, Galicia, Spain. pp.109-114, ⟨10.1145/2909827.2930799⟩ |
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Coral reef fish detection and recognition in underwater videos by supervised machine learning : Comparison between Deep Learning and HOG+SVM methodsACIVS 2016 - 17th International Conference on Advanced Concepts for Intelligent Vision Systems, Oct 2016, Lecce, Italy |
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Deep learning is a good steganalysis tool when embedding key is reused for different images, even if there is a cover source-mismatchEI: Electronic Imaging, Feb 2016, San Fransisco, United States |
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Speeding-up a convolutional neural network by connecting an SVM networkICIP: International Conference on Image Processing, Sep 2016, Phoenix, AZ, United States. pp.2286-2290, ⟨10.1109/ICIP.2016.7532766⟩ |
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Étude des réseaux de neurones sur la stéganalyseCORESA: COmpression et REprésentation des Signaux Audiovisuels, May 2016, Nancy, France |
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Optimizing color information processing inside an SVM networkEI: Electronic Imaging, Feb 2016, San Francisco, CA, United States |
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Camera model identification based machine learning approach with high order statistics featuresEUSIPCO: European Signal Processing Conference, Aug 2016, Budapest, Hungary. pp.1183-1187, ⟨10.1109/EUSIPCO.2016.7760435⟩ |
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An efficient multi-resolution SVM network approach for object detection in aerial imagesMLSP: Machine Learning for Signal Processing, Sep 2015, Boston, United States. ⟨10.1109/MLSP.2015.7324329⟩ |
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Color Image Stegananalysis Using Correlations between RGB ChannelsIWCC: International Workshop on Cyber Crime, Aug 2015, Toulouse, France. ⟨10.1109/ARES.2015.44⟩ |
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Detection of manhole covers in high-resolution aerial images of urban areas by combining two methodsJURSE: Joint Urban Remote Sensing Event, Mar 2015, Lausanne, Switzerland. ⟨10.1109/JURSE.2015.7120524⟩ |
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Comparaison de la segmentation pixel et segmentation objet pour la détection d'objets multiples et variables dans des imagesCORESA: COmpression et REprésentation des Signaux Audiovisuels, Nov 2014, Reims, France |
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Steganalysis with cover-source mismatch and a small learning databaseEUSIPCO: European Signal Processing Conference, Sep 2014, Lisbon, Portugal. pp.2425-2429 |
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Automatic localization of tombs in aerial imagery: Application to the digital archiving of cemetery heritageDigitalHeritage, Oct 2013, Marseille, France. pp.657-660, ⟨10.1109/DigitalHeritage.2013.6743811⟩ |
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Adaptive Steganography by Oracle (ASO)ICME: International Conference on Multimedia and Expo, Jul 2013, San Jose, United States |
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Des millions d'images pour la stéganalyse : inutile !CORESA: COmpression et REprésentation des Signaux Audiovisuels, Nov 2013, Le Creusot, France |
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Steganalysis by Ensemble Classifiers with Boosting by Regression, and Post-Selection of FeaturesICIP: International Conference on Image Processing, Sep 2012, Orlando, FL, United States. pp.1133-1136, ⟨10.1109/ICIP.2012.6467064⟩ |
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Stéganographie Adaptative par Oracle (ASO)CORESA: COmpression et REprésentation des Signaux Audiovisuels, May 2012, Lille, France |
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Utilisation des codes LDPC en stéganographieCORESA: COmpression et REprésentation des Signaux Audiovisuels, May 2012, Lille, France |
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Technical Points About Adaptive Steganography by Oracle (ASO)EUSIPCO: EUropean SIgnal Processing COnference, Aug 2012, Bucharest, Romania. pp.1703-1707 |
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A Joint Trellis Coded Quantization (TCQ) Data Hiding Scheme in the JPEG2000 Part 2 Coding FrameworkEUSIPCO: EUropean SIgnal Processing COnference, Aug 2011, Barcelona, Spain. pp.1110-1114 |
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Ensuring security of H.264 videos by using watermarkingSPIE Defense, Security, and Sensing 2011, May 2011, Orlando, Florida, United States. pp.10 |
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Hyper-Cube Watermarking SchemeElectronic Imaging, Jan 2011, San Fransisco, CA, United States. pp.78820B, ⟨10.1117/12.872107⟩ |
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Un Schéma Conjoint de Dissimulation de Données (Data Hiding) dans JPEG2000 basé sur la Quantification Codée par Treillis (TCQ)GRETSI: Groupe d'Etude du Traitement du Signal et des Images, Sep 2011, Bordeaux, France |
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TCQ Practical Evaluation in the Hyper-Cube Watermarking FrameworkICME: International Conference on Multimedia and Expo, Jul 2011, Barcelona, Spain. ⟨10.1109/ICME.2011.6012007⟩ |
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A Joint JPEG2000 Compression and Watermarking System Using a TCQ-Based Quantization SchemeElectronic Imaging, Jan 2011, San Fransisco, CA, United States. pp.78820C, ⟨10.1117/12.872122⟩ |
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Over the Real-Time Selective Encryption of AVS Video Coding StandardEUSIPCO: EUropean SIgnal Processing COnference, Aug 2010, Aalborg, Denmark. pp.2116-2120 |
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H.264 Video Watermarking: Applications, Principles, Deadlocks, and FutureIPTA: Image Processing Theory, Tools and Applications, Jul 2010, Paris, France |
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A Novel Embedding Technique For Dirty Paper Trellis Codes WatermarkingElectronic Imaging, Jan 2010, San Jose, CA, United States. pp.754311, ⟨10.1117/12.839853⟩ |
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Spread Spectrum-Based Watermarking for Tardos Code-Based Fingerprinting for H.264/AVC VideoICIP: International Conference on Image Processing, Sep 2010, Hong Kong, China. pp.2105-2108, ⟨10.1109/ICIP.2010.5652607⟩ |
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Tatouage et Compression Conjoint dans JPEG2000 avec un Algorithme de Quantification Codée par Treillis (TCQ)CORESA: COmpression et REprésentation des Signaux Audiovisuels, Oct 2010, Lyon, France |
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Selective Encryption of C2DVLC of AVS Video Coding Standard for I & P FramesICME: International Conference on Multimedia and Expo, Jul 2010, Suntec City, Singapore. pp.1655-1660, ⟨10.1109/ICME.2010.5582960⟩ |
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A High Capacity Reversible Watermarking SchemeElectronic Imaging, Jan 2009, San Jose, CA, United States. pp.72571H, ⟨10.1117/12.805561⟩ |
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Une nouvelle technique pour le tatouage par Dirty Paper Trellis Code (DPTC)GRETSI'09 : 22ème Colloque GRETSI sur le traitement du signal et des images, Oct 2009, Dijon, France, pp.4 |
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Fast Protection of H.264/AVC by Selective EncryptionSingaporean-French Ipal Symposium (SinFra), Feb 2009, Fusionopolis, Singapore. pp.11-21, ⟨10.1142/9789814277563_0002⟩ |
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Tatouage informé hiérarchique d'un message hiérarchique (en vue de la protection vidéo)CORESA: COmpression et REprésentation des Signaux Audiovisuels, Mar 2009, Toulouse, France |
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Psychovisual Rotation-Based DPTC Watermarking SchemeEUSIPCO: European Signal Processing Conference, Aug 2009, Glasgow, United Kingdom. pp.2107-2111 |
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An Adaptive Scan of High Frequency Subbands of Dyadic Intra Frame in MPEG4-AVC/H.264 Scalable Video CodingElectronic Imaging, Jan 2009, San Jose, CA, United States. pp.72570U, ⟨10.1117/12.806394⟩ |
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Selective And Scalable Encryption Of Enhancement Layers For Dyadic Scalable H.264/Avc By Scrambling Of Scan PatternsICIP: International Conference on Image Processing, Nov 2009, Cairo, Egypt. pp.1273-1276, ⟨10.1109/ICIP.2009.5413605⟩ |
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Fast Protection Of H.264/Avc By Selective Encryption Of Cabac For I & P FramesEUSIPCO: EUropean SIgnal Processing COnference, Aug 2009, Glasgow, United Kingdom. pp.2201-2205 |
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Considering The Reconstruction Loop For Watermarking Of Intra And Inter Frames Of H.264/AvcEUSIPCO: EUropean SIgnal Processing COnference, Aug 2009, Glasgow, United Kingdom. pp.1794-1798 |
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Fast Protection of H.264/AVC by Selective Encryption of CabacICME: International Conference on Multimedia and Expo, Jun 2009, New York, NY, United States. pp.1038-1041, ⟨10.1109/ICME.2009.5202675⟩ |
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Tatouage robuste aux attaques de désynchronisationsMajecSTIC : MAnifestation des JEunes Chercheurs en Sciences et Technologies de l'Information et de la Communication, Nov 2009, Avignon, France. pp.8 |
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A Reversible Data Hiding Method for Encrypted ImagesElectronic Imaging, Jan 2008, San Jose, CA, United States. pp.68191E, ⟨10.1117/12.766754⟩ |
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A 8-Bit-Grey-Level Image Embedding ITS 512 Color PaletteEUSIPCO: EUropean SIgnal Processing COnference, 2008, Lausanne, Switzerland |
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Attack By Colorization of a Grey-Level Image Hiding its Color PaletteICME: International Conference on Multimedia and Expo, Jun 2008, Hannover, Germany. pp.1537-1540 |
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Fast Protection of The Color of High Dimension Digital Painting ImagesWIAMIS: Workshop on Image Analysis for Multimedia Interactive Services, Jun 2007, Santorini, Greece |
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Insertion d'une palette couleur dans une image en niveaux de grisGRETSI: Groupe d'Etude du Traitement du Signal et des Images, 2007, Troyes, France. pp.1205-1208 |
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Insertion de Données Cachées pour une Reconstruction sans Perte de Régions d'Intérêts dans des Vidéos H.264CORESA: COmpression et REprésentation des Signaux Audiovisuels, Nov 2007, Montpellier, France. pp.149-153 |
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A Fast And Efficient Method To Protect Color ImagesElectronic Imaging, Jan 2007, San Jose, CA, United States. pp.65081T, ⟨10.1117/12.702741⟩ |
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Wavelet Based Data-Hiding of DEM in the Context of Real Time 3D VisualizationElectronic Imaging, Jan 2007, San Jose, CA, United States. pp.64950N, ⟨10.1117/12.703040⟩ |
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Data Hiding in H.264 Video for Lossless Reconstruction of Region of InterestEUSIPCO: EUropean SIgnal Processing COnference, Sep 2007, Poznan, Poland. pp.2301-2305 |
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3D Face Model Tracking Based On A Multiresolution Active SearchElectronic Imaging, Jan 2007, San Jose, CA, United States. pp.65081U, ⟨10.1117/12.702751⟩ |
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A Grey-Level Image Embedding its Color PaletteICIP: International Conference on Image Processing, 2007, San Antonio, TX, United States. pp.389-392 |
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A Color Image Hidden in a Grey-Level ImageCGIV: Colour in Graphics, Imaging and Vision, Jun 2006, Leeds, United Kingdom. pp.226-231 |
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Visualisation 3D temps-réel à distance de MNT par insertion de données cachées basée ondelettesCORESA: COmpression et REprésentation des Signaux Audiovisuels, Nov 2006, Caen, France |
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Liptracking and MPEG4 Animation with Feedback ControlICASSP'06: IEEE International Conference On Acoustics, Speech, and Signal Processing, May 2006, Toulouse, France, France. pp.677- 680 |
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Face Protection by Fast Selective Encryption in a VideoIET THE CRIME AND SECURITY Conference, Jun 2006, pp.420-425 |
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Une image couleur cachée dans une image en niveaux de grisCORESA: COmpression et REprésentation des Signaux Audiovisuels, Nov 2006, Caen, France |
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A DCT-Based Data-Hiding Method to Embed the Color Information in a JPEG Grey Level ImageEUSIPCO: European Signal Processing Conference, Nov 2006, Pise, Italy |
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Extraction Temps-Réel de Contours Labiaux par Segmentation Vidéo Robuste en Vue d'Animation 3DGRETSI: Groupe d'Etude du Traitement du Signal et des Images, Sep 2005, Louvain-la-Neuve, Belgique. pp.489-492 |
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Robust and Real-Time 3D-Face Model ExtractionICIP: International Conference on Image Processing, Sep 2005, Genova, Italy. pp.461-464 |
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Extraction d'un Modèle 3D de Visage en Temps-Réel et de Manière RobusteGRETSI: Groupe d'Etude du Traitement du Signal et des Images, Sep 2005, Louvain-la-Neuve, Belgique. pp.675-678 |
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Cartographie par télédétection THRS des plantations ligneuses (anacardiers, manguiers, teck…)Atelier de présentation des premiers résultats à mi-parcours du projet OBSYDYA, Mar 2024, Cotonou, Bénin. CIRAD; Projet OBSYDYA, 1 p., 2024 |
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One Health in practice: a socio-ecological approach for the study and management of zoonoticdiseases associated with free-roaming dogs in Southeast Asia (SEAdogSEA)3. Joint Conference of the Association of Institutions for Tropical Veterinary Medicine & Society for Tropical Veterinary Medicine, May 2024, Montpellier, France. |
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Retour d'expérience sur l'utilisation de l'Intelligence Artificielle par le Cicat-OccitanieJournées Cicatrisations 2023, Jan 2023, Paris, France. |
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Checklist Strategies to Improve the Reproducibility of Deep Learning Experiments with an IllustrationRDA 19th Plenary Meeting, Part Of International Data Week, Jun 2022, Seoul, South Korea. , 2022, ⟨10.5281/zenodo.6587702⟩ |
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Reproducing Deep Learning experiments: common challenges and recommendations for improvementRDA 19th Plenary Meeting, Part Of International Data Week, Jun 2022, Seoul, South Korea. , 2022, ⟨10.5281/zenodo.6587694⟩ |
|
|
A Fast Embedding Technique For Dirty Paper Trellis WatermarkingAnthony T.S. Ho; Yun Q. Shi; H.J Kim; Mauro Barni. IWDW: International Workshop on Digital Watermarking, Aug 2009, Guildford, United Kingdom. Springer, 8th International Workshop on Digital Watermarking, LNCS (5703), pp.110-120, 2009, ⟨10.1007/978-3-642-03688-0_12⟩ |
Steganalysis: Detection of Hidden Data in Multimedia ContentMultimedia Security 1: Authentication and Data Hiding, 1, Wiley, Chapter 8, 2022, Online ISBN: 9781119901808 Print ISBN: 9781789450262. ⟨10.1002/9781119901808.ch8⟩ |
|
Steganography: Embedding Data Into Multimedia ContentMultimedia Security 1, Chapter 5, Wiley, pp.161-188, 2022, Online: 9781119901808 Print: 9781789450262. ⟨10.1002/9781119901808.ch5⟩ |
|
Stéganographie : insertion d’informations dans des contenus multimédiasSécurité Multimédia - Partie 1 : Authentification et Insertion de Données Cachées, Chapitre 5, ISTE Group, pp.171-200, 2021, 9781789480269. ⟨10.51926/ISTE.9026.ch5⟩ |
|
|
|
Stéganalyse : détection d'information cachée dans des contenus multimédiasSécurité Multimédia - Partie 1 : Authentification et Insertion de Données Cachées, Chapitre 8, pp.261-303, 2021, 9781789480269. ⟨10.51926/ISTE.9026.ch8⟩ |
|
|
Deep Learning in steganography and steganalysisM. Hassaballah. Digital Media Steganography: Principles, Algorithms, Advances, Elsevier, pp.321-349, 2020, Chapter 14 Deep Learning in steganography and steganalysis, 978-0-12-819439-3. ⟨10.1016/B978-0-12-819438-6.00022-0⟩ |
|
|
Joint Entropy Coding and Encryption in AVS Video CodecZafar Shahid. Recent Trends in Image and Video Processin, iConcept Press, pp.19, 2013, 978-14775548-3-8 |
|
|
Quantization Watermarking for Joint Compression and Data Hiding SchemesDr. Mithun Das Gupta. Watermarking - Volume 1, InTech, Chapter 1, 2012, 978-953-51-0618-0. ⟨10.5772/2342⟩ |
|
|
Scalable Video CodingSudhakar Radhakrishnan. Effective Video Coding for Multimedia Applications, , pp.18, 2011, 978-953-307-177-0 |
|
|
Protecting the Color Information by Hiding itDr. Mithun Das Gupta. Recent Advances in Signal Processing, Chapter 7, IntechOpen, 2009, 978-953-51-5869-1. ⟨10.5772/7453⟩ |
|
|
Artificial Intelligence and Social Networks Can Help to Protect the Famous DugongAutre publication scientifique lirmm-03824398v1 |
|
|
Preliminary results of an autonomous buoy prototype to count pelagic sharks at FADsIndian Ocean Tuna Commission ad hoc Working Group on FADs, 2022, 4 p |
|
|
A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning2023 |
|
|
Représentation en objets vidéo pour un codage progressif et concurrentiel des séquences d'imagesInterface homme-machine [cs.HC]. Université Rennes 1, 2003. Français. ⟨NNT : ⟩ |
|
|
Schémas de tatouage d'images, schémas de tatouage conjoint à la compression, et schémas de dissimulation de donnéesTraitement des images [eess.IV]. Université Montpellier II, 2013 |