Alexandre Benoit
Présentation
Publications
Publications
Exploration de l’apprentissage automatique pour l’inversion volcaniqueRencontre Scientifique Volcanologique, Jun 2025, Chambéry, France |
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La régression symbolique pour la modélisation des volcansRencontre Scientifique Volcanologique, Jun 2025, Chambéry, France |
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Méthodologie de comparaison des pilotages conventionnel et par apprentissage profond en sous-station de réseaux de chaleur urbainsCongrès Français de Thermique SFT 2025, Société Française de Thermique, Jun 2025, Chambéry, France. ⟨10.25855/SFT2025-108⟩ |
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JOINT MULTITASK LEARNING FOR IMAGE SEGMENTATION AND SALIENT OBJECT DETECTION IN HYPERSPECTRAL IMAGERYWorkshop on Hyperspectral Images and Signal Processing (WHISPERS 2024), Dec 2024, Helsinki, Finland |
A Deep Learning-Based Multitasking Model for Hyperspectral Image Analysis using Novel TAIGA DatasetIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Jul 2024, Athens, Greece. pp.7883-7887, ⟨10.1109/IGARSS53475.2024.10641762⟩ |
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Discovering Communities With Clustered Federated LearningIEEE International Conference on Big Data, Dec 2024, Washington DC, United States |
Deep learning multimodal methods for geophysical inversion: application to glacier ice thickness estimation20th International Conference on Content-based Multimedia Indexing, Sep 2023, Orléans, France |
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Deep unsupervised domain adaptation applied to the Cherenkov Telescope Array Large-Sized Telescope20th International Conference on Content-based Multimedia Indexing (CBMI 2023), Sep 2023, Orleans, France. pp.133-139, ⟨10.1145/3617233.3617279⟩ |
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Improving ice thickness estimation of glaciers using deep learning methods : a case study in the Swiss AlpsEGU General Assembly 2023, Apr 2023, Vienne, Austria. ⟨10.5194/egusphere-egu23-8339⟩ |
Single Imaging Atmospheric Cherenkov Telescope Full-Event Reconstruction with a Deep Multi-Task Learning Architecture30th Astronomical Data Analysis Software and Systems, Nov 2020, Granada, Spain. pp.203 |
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Explainability of Image Semantic Segmentation Through SHAP ValuesICPR-XAIE -26TH International Conference on Pattern Recognition 2-nd Workshop on Explainable and Ethical AI, Aug 2022, Montreal, Canada |
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Explaining a deep spatiotemporal land cover classifier with attention and redescription mining24. ISPRS Congress (ISPRS 2022), Jun 2022, Nice, France. pp.673-680, ⟨10.5194/isprs-archives-XLIII-B3-2022-673-2022⟩ |
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Deep Learning for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter InitializationICPR'2020 Workshop Explainable Deep Learning-AI, Jan 2021, Milan (on line), Italy |
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First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep LearningInternational Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. 6 p., ⟨10.1109/CBMI50038.2021.9461918⟩ |
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Analysis of the Cherenkov Telescope Array first Large-Sized Telescope real data using convolutional neural networks37th International Cosmic Ray Conference, Jul 2021, Berlin, Germany. pp.703, ⟨10.22323/1.395.0703⟩ |
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Deep learning based automatic detection of offshore oil slicks using SAR data and contextual informationSPIE Conference on Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions, Sep 2021, Online, Spain. ⟨10.1117/12.2598032⟩ |
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CHANNEL-BASED ATTENTION FOR LCC USING SENTINEL-2 TIME SERIESIGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Jul 2021, Brussels, Belgium. pp.1077-1080, ⟨10.1109/IGARSS47720.2021.9554205⟩ |
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Multi-Task Architecture with Attention for Imaging Atmospheric Cherenkov Telescope Data Analysis16th International Conference on ComputerVision Theory and Applications (VISAPP 2021), Feb 2021, online, France |
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Single Imaging Atmospheric Cherenkov Telescope Full-Event Reconstruction with a Deep Multi-Task Learning ArchitectureAstronomical Data Analysis Software and Systems ADASS XXX, Nov 2020, Granada, Spain |
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Offshore Oil Slicks Detection From SAR Images Through The Mask-RCNN Deep Learning Model2020 IEEE International Joint Conference on Neural Networks (IJCNN), World Congress on Computational Intelligence (WCCI), Jul 2020, Glasgow (virtual), United Kingdom. pp.8, ⟨10.1109/IJCNN48605.2020.9206652⟩ |
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Receipt automatic readerContent-Based Multimedia Indexing (CBMI) 2019, Sep 2019, Dublin, Ireland |
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Indexed Operations for Non-rectangular Lattices Applied to Convolutional Neural NetworksVISAPP, 14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic |
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GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data23rd International Conference on Computing in High Energy and Nuclear Physics, Jul 2018, Sofia, Bulgaria. pp.06020, ⟨10.1051/epjconf/201921406020⟩ |
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GammaLearn: a Deep Learning framework for IACT data36th International Cosmic Ray Conference, Jul 2019, Madison, United States. pp.705 |
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Multiscale Fully Convolutional DenseNet for Semantic SegmentationWSCG 2018, International Conference on Computer Graphics, Visualization and Computer Vision, May 2018, Pilsen, Czech Republic |
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Deep learning for dehazing: Benchmark and analysisNOBIM 2018, Mar 2018, Hafjell, Øyer, Norway |
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Generative Adversarial Network (GAN) for Remote Sensing Images unsupervised LearningRFIAP 2018, AFRIF, SFPT, IEEE GRSS, Jun 2018, Marne-la-Vallée, France |
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Deep learning for dehazing: Comparison and analysisColour and Visual Computing Symposium (CVCS), Sep 2018, Gjøvik, Norway |
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GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Jul 2018, Sofia, Bulgaria |
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Deep Learning for automatic sale receipt understandingInternational Conference on Image Processing Theory, Tools and Applications, Nov 2017, Montreal, Canada |
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IRIM at TRECVID 2017: Instance SearchTRECVid workshop 2017, Nov 2017, Gaithersburg, Maryland, United States |
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DEEP LEARNING FOR SEMANTIC SEGMENTATION OF REMOTE SENSING IMAGES WITH RICH SPECTRAL CONTENTIEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States |
DEEP LEARNING APPROACH FOR REMOTE SENSING IMAGE ANALYSISBig Data from Space (BiDS'16), Mar 2016, Santa Cruz de Tenerife, Spain. pp.133, ⟨10.2788/854791⟩ |
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IRIM at TRECVID 2016: Instance SearchTRECVid workshop 2016, National Institute of Standards and Technology (NIST), Nov 2016, Gaithersburg, Maryland, United States |
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Lecture automatique d'un ticket de caisse par vision embarquée sur un téléphone mobileRFIA 2016, Jun 2016, Clermont-Ferrand, France |
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Deep Learning vs Spectral Clustering into an active clustering with pairwise constraints propagation14th International Workshop on Content-based Multimedia Indexing (CBMI 2016), Jun 2016, Bucarest, Romania |
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IRIM at TRECVID 2015: Semantic IndexingProceedings of TRECVid, Nov 2015, Gaithersburg, MD, United States |
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Could Multimedia approaches help Remote Sensing Analysis?IIM 2015 Conference Image Information Mining : Earth Observation meets Multimedia , CEOSpaceTech, Bucharest, Romania, Oct 2015, Bucharest, Romania |
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Semi-supervised spectral clustering with automatic propagation of pairwise constraintsInternational Workshop on Content-Based Multimedia Indexing (CBMI), Jun 2015, Prague, Czech Republic. pp.1-6, ⟨10.1109/CBMI.2015.7153608⟩ |
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Clustering Spectral semi-supervisé avec propagation des contraintes par paires12ème COnference en Recherche d’Information et Applications - CORIA, Mar 2015, Paris, France |
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IRIM at TRECVID 2014: Semantic Indexing and Instance SearchProceedings of TRECVID, Nov 2014, Orlando, United States |
Bags of Trajectory Words for video indexingCBMI 2014, Jun 2014, Klagenfuhrt, Austria. ⟨10.1109/CBMI.2014.6849820⟩ |
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Analyse de trajectoires pour l'indexation sémantique des vidéos à grande échelleReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France |
Retina enhanced bag of words descriptors for video classificationEUSIPCO 2014, Sep 2014, Lisbon, Portugal |
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Retina enhanced SIFT descriptors for video indexing11th International Workshop on Content-Based Multimedia Indexing (CBMI 2013), Jun 2013, Veszprem, Hungary. pp.201-206 |
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IRIM at TRECVID 2013: Semantic Indexing and Instance SearchProc. TRECVID Workshop, 2013, Gaithersburg, MD, United States |
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Automatic difference measure between movies using dissimilarity measure fusion and rank correlation coefficients10th International Workshop on Content-Based Multimedia Indexing (CBMI 2012), Jun 2012, Annecy, France. pp.1-6 |
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IRIM at TRECVID 2012: Semantic Indexing and Instance SearchTRECVID - TREC Video Retrieval Evaluation workshop, Nov 2012, Gaithersburg, MD, United States. 12p |
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Retina-Enhanced SURF Descriptors for Semantic Concept Detection in VideosIPTA 2012 - 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA 2012), Oct 2012, Istanbul, Turkey. pp.1-6 |
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Hierarchical Late Fusion for Concept Detection in VideosECCV 2012 - 12th European Conference on Computer Vision, Oct 2012, Firenze, Italy. pp.335-344, ⟨10.1007/978-3-642-33885-4_34⟩ |
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IRIM at TRECVID 2011: Semantic Indexing and Instance SearchTRECVID 2011 - TREC Video Retrieval Evaluation Online, Nov 2011, Gaithersburg, MD, United States. 12p |
A color-action perceptual approach to the classification of animated moviesACM International Conference on Multimedia Retrieval (ICMR 2011), Apr 2011, Trento, Italy. pp.CDROM, ⟨10.1145/1991996.1992006⟩ |
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Similarity Measurement For Animation MoviesInternational MultiMedia Modeling Conference (MMM 2011), Jan 2011, Taiwan. 9 p |
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Enhancement of Multi-Valued Images Using PDE CouplingEuropean Signal Processing Conference (EUSIPCO‐2011), Aug 2011, Spain. pp.CDROM |
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IRIM at TRECVID 2010: Semantic Indexing and Instance SearchTRECVID 2010 - TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States |
IRIM at TRECVID 2010: High Level Feature Extraction and Instance SearchTREC Video Retrieval Evaluation workshop, 2010, Gaithersburg, MD, United States |
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The Dynamic Dictionary of Mathematical Functions (DDMF)ICMS 2010 - Third International Congress on Mathematical Software, Sep 2010, Kobe, Japan. pp.35-41 |
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Spatio-Temporal Tone Mapping Operator based on a Retina modelCCIW 2009 - Computational Color Imaging Workshop (CCIW'09), Mar 2009, Saint Etienne, France. pp.12-22 |
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Open or Closed Mouth State Detection: Static Supervised Classification Based on Log-polar SignatureACIVS 2008 - International Conference on Advanced Concepts for Intelligent Vision Systems, Oct 2008, Juan-Les-Pins, France. pp.1093-1102 |
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Using disparity for quality assessment of stereoscopic imagesIEEE International Conference on Image Processing, ICIP 2008, Oct 2008, San Diego, United States |
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Sign Language Tutoring TooleNTERFACE'06. Summer Workshop. on Multimodal Interfaces, 2007, Dubrovnik, Croatia |
A biomimetic real time retinal simulation software with non separable spatiotemporal processing, chromaticity and non linear local adaptivityEuropean Retina Meeting, Oct 2007, Frankfurt/Main, Germany. pp.S4-P03 |
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Emotion Classification or face identification depend on which part of the face is analyzedECVP 2007 - European Conference on Visual Preception, Aug 2007, Arrezo, Italy |
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From bio-inspired vision toolbox to real-time computer vision algorithmsEuropean Retina Meeting, Oct 2007, Frankfurt/Main, Germany. pp.S4-P02 |
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Multimodal Focus Attention and Stress Detection and Feedback in an Augmented Driver Simulator3rd IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI), Jun 2006, Athens, Greece. ⟨10.1007/0-387-34224-9⟩ |
Intercepting Static Hand Gestures in Dynamic ContextICIP, Oct 2006, Atlanta, United States |
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Real-time bio-inspired retina simulation software with non-linear, adaptive and chromatic spatio-temporal processingNIPS-2006, Sep 2006, Vancouver, Canada. pp.201 |
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Extracting static hand gestures in dynamic contextInternational Conference on Image Processing (ICIP'06), Oct 2006, Atlanta, United States. ⟨10.1109/ICIP.2006.312923⟩ |
Real-time bio-inspired retina simulation software.Advances in Neural Information Processing Systems (NIPS), 2006, Vancouver, Canada |
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Hypovigilence Analysis: Open or Closed Eye or Mouth ? Blinking or Yawning FrequencyAVSS, 2005, Como, Italy |
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Biological Approach for Head Detection and Analysis13th European Signal Processing Conference, EUSIPCO-2005, 2005, Antalya, Turkey |
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Motion Head Nods analaysis: interpretation of non verbal communication gesturesICIP, 2005, Genova, Italy |
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Bias mitigation for collaborative and ethical learning on dynamic dataSymposium on Intelligent Data Analysis (IDA 2023), Apr 2023, Louvain-la-Neuve,, Belgium |
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A Path Towards Fair and Equitable AI Advancing Bias Mitigation in Federated LearningThe IEEE International Symposium on Women in Services Computing (WISC 2023), Jul 2023, Chicago, United States. , ⟨10.13140/RG.2.2.23701.29921⟩ |
Machine learning and deep learning for retro-observation of critical zone processes with hyperspectral imagingOZCAR TERENO International Conference, Oct 2021, Strasbourg, France |
Deep learning for semantic segmentationBenois-Pineau, Jenny; Zemmari, Akka. Multi-faceted Deep Learning, Springer International Publishing, pp.39-72, 2021, 978-3-030-74478-6. ⟨10.1007/978-3-030-74478-6_3⟩ |
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Hierarchical Late Fusion for Concept Detection in VideosFusion in Computer Vision: Understanding Complex Visual Content, Springer international publishing, pp.53-78, 2014, ⟨10.1007/978-3-319-05696-8_3⟩ |
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Deep Learning and IACT: Bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation2024 |
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A low-cost machine learning process for gait measurement using an electrostatic sensors network2023 |
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Le système visuel humain au secours de la vision par ordinateurTraitement du signal et de l'image [eess.SP]. Institut National Polytechnique de Grenoble - INPG, 2007. Français. ⟨NNT : ⟩ |
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Analyse automatique d'images, de l'expert à l'apprentiTraitement du signal et de l'image [eess.SP]. Université Savoie Mont Blanc, 2019 |