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Donatello Conte
87
Documents
Identifiants chercheurs
- donatello-conte
- IdRef : 113061498
- 0000-0003-4642-4768
Présentation
Donatello Conte received his Ph.D. degree in 2006 by a joint supervision between LIRIS laboratory of the INSA of Lyon (France) and MIVIA laboratory of the University of Salerno (Italy).
He has been an Assistant Professor from 2006 to 2013, in Italy at the University of Salerno, he has been Associate Professor at the Computer Science Laboratory of the University of Tours from 2013 to 2021, and since 2021 he has been Full Professor at the University of Tours.
He has been co-head of the RFAI team at the Computer Science Laboratory until march 2023, and he participated, as member and sometimes as local coordinator, to several regional projects on image and video analysis.
His main research fields are: structural pattern recognition (graph matching, graph kernels, combinatorial maps), video analysis (objects detection and tracking, trajectories analysis, behavioral analysis, etc.), and affective computing (emotion recognition, multimodality analysis for affective analysis, physiological measures by video analysis, etc.).
He is the author of more than 80 publications and reviewers in the main journals in his research field (PAMI, PR, CVIU, TIP, etc.). He was member of the Editorial Board of the Elsevier Journal Internet of Things (from 2020 to 2023); he is member of the Editorial Board of the MDPI Journal of Imaging and he has been Guest Editor for the Pattern Recognition Letters (2020 and 2023) and IEEE Transactions on Emerging Topics in Computing (2022) journals.
He has been co-chair of the International Workshop on Graph-basd Representation in Pattern Recognition in 2019 and 2023. He has been co-chair of the Video Processing for Human Behavioral Analysis (VP-HBA) Track at the 35th ACM Symposium on Applied Computing (SAC 2020), and co-chair of the Graph Models for Learning and Recognition track in ACM Symposium on Applied Computing in 2021, 2022, and 2023.
From 2016 to 2022 he has been member of the Governing Board of the French Association for Research in Technical Aids for the Disability (IFRATH). From 2016 to 2023 he has been member of the Governing Board of the French Association for Pattern Recognition (AFRIF) and he has been secretary from 2018 to 2023. He is a member of the International IAPR Technical Committee 15 (dedicated to the promotion of graphs in the Pattern Recognition), for which he has been chairman from 2021 to 2023.
Donatello Conte a obtenu son doctorat en 2006, une cotutelle entre les laboratoires LIRIS de Lyon et MIVIA de l’Université de Salerno (Italie). En 2014 a obtenu son HDR à Université de Tours.
Il a été Maitre de conférences depuis 2006, d’abord en Italie et ensuite de 2013 à 2021 au Laboratoire d’Informatique Fondamentale et Appliquée de l’Université de Tours. Dans le même laboratoire est actuellement Professeur des Université depuis 2021.
Il a été co-responsable de l'équipe RFAI du Laboratoire d'Informatique jusqu'en mars 2023 et il a participé, en tant que membre, et parfois en tant que coordinateur local, à plusieurs projets régionaux et nationaux d'analyse d'images et de vidéos ou en reconnaissance de formes.
Ses principaux domaines de recherche sont : la reconnaissance structurelle de formes (appariement de graphes, noyaux de graphes, cartes combinatoires), l'analyse vidéo (détection et suivi d'objets, analyse de trajectoires, analyse de comportements, etc.) et l'informatique affective (reconnaissance d'émotions, analyse multimodale, estimation de mesures physiologiques par analyse de vidéos, etc.).
Il est l'auteur de plus de 80 publications et il est relecteur dans les principales revues de son domaine de recherche (PAMI, PR, CVIU, TIP, etc.). Il est membre du Comité Editorial de la revue Journal of Imaging par MDPI e il a été membre du Comité Editorial de la revue Internet of Things, edité par Elsevier, de 2018 à 2023. Il a été Editeur Invité pour la revue Pattern Recognition Letters en 2020 et 2023 e pour la revue IEEE Transactions on Emerging Topics in Computing en 2022.
En juin 2019 et en 2023 il a été co-chair de la conférence internationale Graph-based Representation in Pattern Recognition. Aussi, de 2020 à 2023, il a été track chair pour la conférence ACM/SAC 2020 et, en 2023, Program Chair pour la conférence DeLTA (Deep Learning Theory and Application).
De 2016 à 2020 il est membre du Conseil d'Administration de l'association IFRATH (Institut Fédératif de Recherche sur les Aides Techniques) et, de 2016 à 2023 membre du Conseil d'Administration de l'association AFRIF (Association Française pour la Reconnaissance et l'Interprétation des Formes), pour laquelle, de 2018 à 2023 il a été membre du bureau en tant que secrétaire et vice-président. Il est membre du Comité Technique International TC15 de l'IAPR (dédié à la promotion des graphes dans la reconnaissance de formes), pour lequel il a été chairman de 2021 à 2023.
Domaines de recherche
Traitement des images [eess.IV]
Vision par ordinateur et reconnaissance de formes [cs.CV]
Intelligence artificielle [cs.AI]
Publications
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On the importance of temporal features in Domain Adaptation methods for Action RecognitionJoint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Aug 2022, Monreal, Canada. ⟨10.1007/978-3-031-23028-8_27⟩
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Faisabilité de l'estimation d'abondance des silures en cours d'eauEnjeux écologiques et sociétaux des hydrosystèmes 20 ans de recherche dans le bassin de la Loire, ZA Loire, Oct 2022, Orléans, France
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Graphs in Computer Vision then and now: how Deep Learning has reinvigorated Structural Pattern RecognitionWWW ’22 Companion, Apr 2022, Lyon, France. ⟨10.1145/3487553.3526096⟩
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A large-Scale TV Dataset for partial video copy detectionInternational Conference on Image Analysis and Processing (ICIAP), May 2022, Lecce, Italy
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Unbalanced Optimal Transport in Multi-Camera Tracking ApplicationsInternational Conference on Pattern Recognition, Jan 2021, Milan, Italy. pp.327-343, ⟨10.1007/978-3-030-68821-9_30⟩
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Une large base de données pour la détection de segments de vidéos TVORASIS 2021, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
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Real-time detection of partial video copy on TV workstationConference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. pp.1-4
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Une application de classification vidéo en mécanique des fluides diphasiques oscillatoiresActes de la 20ème édition de la conférence Extraction et Gestion des Connaissances, Jan 2020, Bruxelles, Belgique
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Trajectory Extraction and Deep Features for Classification of Liquid-gas Flow under the Context of Forced Oscillation15th International Conference on Computer Vision Theory and Applications, Feb 2020, Valletta, Malta. pp.17-26, ⟨10.5220/0008870700170026⟩
Communication dans un congrès
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Fast Scene Text Detection with RT-LoG Operator and CNN15th International Conference on Computer Vision Theory and Applications, Feb 2020, Valletta, Malta
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Résoudre le problème de la distance d'édition entre graphes avec les matheuristiquesROADEF19, Feb 2019, Le Havre, France
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Performance Evaluation of Real-time and Scale-invariant LoG Operators for Text Detection14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019), Feb 2019, Prague, Czech Republic
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Catfish density estimation by aerial images analysis and deep learningThe 34th ACM/SIGAPP Symposium, Apr 2019, Limassol, Cyprus. pp.1111-1114, ⟨10.1145/3297280.3297575⟩
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Approche structurelle pour la ré-identification de personnesXVIIème Colloque francophone de traitement du signal et des images, GRETSI2019, Aug 2019, Lille, France
Communication dans un congrès
hal-02285821v1
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Approche structurelle pour la ré-identification de personnesColloque francophone de Traitement du Signal et des Images GRETSI 2019, Aug 2019, Lille, France
Communication dans un congrès
hal-02285905v1
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An Extensible Deep Architecture for Action Recognition Problem14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019), Feb 2019, Prague, Czech Republic
Communication dans un congrès
hal-02285781v1
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Solving the graph edit distance problem with variable partitioning local search12th International workshop on Graph-Based Representation in Pattern Recognition (GbR19), Jun 2019, Tours, France. pp.67-77, ⟨10.1007/978-3-030-20081-7_7⟩
Communication dans un congrès
hal-01579501v1
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"Quality" vs. "Readability" in Document Images: Statistical Analysis of Human Perception2018 13th IAPR International Workshop on Document Analysis Systems (DAS), Apr 2018, Vienna, Austria. ⟨10.1109/DAS.2018.42⟩
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A New Mixed Integer Linear Program for the Graph Edit Distance ProblemISCO18, Apr 2018, Marrakesh, Morocco. pp.254 - 265
Communication dans un congrès
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Effective Training of Convolutional Neural Networks for Insect Image Recognition19th International Conference on Advanced Concepts for Intelligent Vision Systems, Sep 2018, Poitiers, France. ⟨10.1007/978-3-030-01449-0_36⟩
Communication dans un congrès
hal-01887615v1
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A Review of Fast Edge Detectors for Real-Time Document CaptureSymposium International Francophone sur l'Ecrit et le Document (SIFED), Jun 2018, Bordeaux, France
Communication dans un congrès
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Suivi collaboratif mono-objet dans un réseau de camérasReconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne-la-Vallée, France
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Solving a special case of the Graph Edit Distance Problem with Local BranchingMatheuristics 2018, Jun 2018, Tours, France
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A new bag of visual words encoding method for human action recognition24th International Conference on Pattern Recognition (ICPR), Aug 2018, Beijing, China. pp. 2480-2485
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hal-01879975v1
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Bags of Graphs for Human Action RecognitionJoint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Aug 2018, Beijing, China. pp. 429-438
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A Deep Neural Network Architecture to Estimate Node Assignment Costs for the Graph Edit DistanceJoint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Aug 2018, Beijing, China. pp. 429-438
Communication dans un congrès
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Graph Edit Distance in the exact contextJoint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Aug 2018, Bejing, China. pp. 326-336
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Formulation linéaire en nombres entiers pour le problème de la distance d'édition entre graphesROADEF18, Feb 2018, Lorient, France
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hal-01717264v1
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A structural approach to Person Re-identification problem24th International Conference on Pattern Recognition (ICPR), Aug 2018, Pékin, China. pp.1616-1621
Communication dans un congrès
hal-01865218v1
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Online Multiple View Tracking: Targets Association Across Cameras6th Workshop on Activity Monitoring by Multiple Distributed Sensing (AMMDS 2018), Sep 2018, Newcastle, United Kingdom
Communication dans un congrès
hal-01880374v1
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A Structural Approach to Person Re-Identification ProblemICPR 2018 International Conference on Pattern Recognition, Aug 2018, Beijing, China
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hal-01867352v1
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Approches connexionnistes pour la reconnaissance d'images d'insectesORASIS 2017, GREYC, Jun 2017, Colleville-sur-Mer, France
Communication dans un congrès
hal-01866627v2
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AMHUSE: a multimodal dataset for HUmour SEnsingthe 19th ACM International Conference on Multimodal Interaction, Nov 2017, Glasgow, United Kingdom. ⟨10.1145/3136755.3136806⟩
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hal-01693228v1
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The Graph Edit Distance Problem treated by the Local Branching HeuristicMIC17 12th Metaheuristics International Conference, Jul 2017, Barcelona, Spain
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hal-01564079v1
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Learning Graph Matching with a Graph-Based Perceptron in a Classification ContextInternational Workshop on Graph-Based Representations in Pattern Recognition GbRPR 2017, May 2017, Anacapri, Italy
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hal-01576056v1
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Evaluation de modèles mathématiques pour le problème de la distance d'édition entre graphesROADEF2017, Feb 2017, Metz, France
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hal-01564064v1
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Document Image Quality Assessment Based on Texture Similarity Index12th IAPR Workshop on Document Analysis Systems (DAS), 2016, Santorini, Greece. pp.132-137, ⟨10.1109/DAS.2016.33⟩
Communication dans un congrès
hal-01429042v1
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On-Line Learning Dynamic Models for Nerve Detection in Ultrasound VideosIEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. ⟨10.1109/ICIP.2016.7532333⟩
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Incremental Updating of 3D Topological Maps to Describe VideosInternational Workshop on Combinatorial Image Analysis, Nov 2015, Kolkata, India. pp.299-310, ⟨10.1007/978-3-319-26145-4_22⟩
Communication dans un congrès
hal-01258317v1
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Document Image Quality Assessment based on Improved Gradient Magnitude Similarity Deviation13th International Conference on Document Analysis and Recognition, Aug 2015, Nancy, France
Communication dans un congrès
hal-01224875v1
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Nerve Localization by Machine Learning Framework with New Feature Selection AlgorithmInternational Conference on Image Analysis and Processing, Sep 2015, Genoa, Italy. pp.246-256, ⟨10.1007/978-3-319-23231-7_23⟩
Communication dans un congrès
hal-01224852v1
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Ultrasound median nerve localization by classification based on despeckle filtering and features fusion2015 IEEE International Conference on Image Processing (ICIP), Sep 2015, Quebec City, Canada. ⟨10.1109/ICIP.2015.7351588⟩
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Nerve Detection in Ultrasound Images Using Median Gabor Binary Pattern11th International Conference, ICIAR 2014, Oct 2014, Villamoura, Portugal. pp.132 - 140, ⟨10.1007/978-3-319-11755-3_15⟩
Communication dans un congrès
hal-01083075v1
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Remove Noise in Video with 3D Topological Maps18th Joint International Workshops on Statistical Techniques in Pattern Recognition and Structural and Syntactic Pattern Recognition, Aug 2014, Joensuu, Finland. pp.213-222, ⟨10.1007/978-3-662-44415-3_22⟩
Communication dans un congrès
hal-01077970v1
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Tracking System with Re-identification Using a RGB String KernelJoint IAPR International Workshop, S+SSPR 2014, Aug 2014, Joensuu, Finland. pp.333 - 342, ⟨10.1007/978-3-662-44415-3_34⟩
Communication dans un congrès
hal-01083074v1
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A Comparison of Explicit and Implicit Graph Embedding Methods for Pattern Recognition9th IAPR - TC 15 workshop on Graph Based Repesentations in Pattern Recognition, May 2013, Vienne, Austria. pp.81
Communication dans un congrès
hal-00829226v1
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Ré-identification de Personnes par Modèle de Noyaux de GrapheColloque sur le Traitement du Signal et des Images (GRETSI'13), Sep 2013, Brest, France. pp.ID108
Communication dans un congrès
hal-00929803v1
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Tracking System with Re-identification Using a Graph Kernels ApproachCAIP 2013, Aug 2013, York, United Kingdom. pp.401-408
Communication dans un congrès
hal-00953759v1
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A graph-kernel method for re-identificationInternational Conference on Image Analysis and Recognition, Jun 2011, Burnaby, Canada. pp.173-182
Communication dans un congrès
hal-00770260v1
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People Re-identification by Graph Kernel MethodsGraph Based Representations, May 2011, Munster, Germany. pp.285-294
Communication dans un congrès
hal-00680229v1
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A New Residual Neural Network Architecture Using Skeleton Data for Human Activity RecognitionAdvances in Engineering Research, 2020
Chapitre d'ouvrage
hal-03137525v1
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A parallel MCMC algorithm for the Balanced Graph Coloring problemGraph-Based Representations in Pattern Recognition 12th IAPR-TC-15 International Workshop, GbRPR 2019, Tours, France, June 19–21, 2019, Proceedings, pp.161-171, 2019, Image Processing, Computer Vision, Pattern Recognition, and Graphics, ⟨10.1007/978-3-030-20081-7_16⟩
Chapitre d'ouvrage
hal-02285800v1
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Nerve Contour tracking for Ultrasound-Guided Regional AnesthesiaNew Trends in Image Analysis and Processing – ICIAP 2019 ICIAP International Workshops, BioFor, PatReCH, e-BADLE, DeepRetail, and Industrial Session, Trento, Italy, September 9–10, 2019, Revised Selected Papers, pp.244-251, 2019, ⟨10.1007/978-3-030-30754-7_25⟩
Chapitre d'ouvrage
hal-02285803v1
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Sub-optimal Graph Matching by Node-to-node Assignment ClassificationDonatello Conte; Jean-Yves Ramel; Pasquale Foggia. Graph-Based Representations in Pattern Recognition, 11510, Springer, pp.35-44, 2019, Lecture Notes in Computer Science, 978-3-030-20080-0. ⟨10.1007/978-3-030-20081-7_4⟩
Chapitre d'ouvrage
hal-02285797v1
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A Local Branching Heuristic for the Graph Edit Distance ProblemProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2017, 10657, pp.194-202, 2018, 978-3-319-75193-1. ⟨10.1007/978-3-319-75193-1_24⟩
Chapitre d'ouvrage
hal-02077687v1
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Special Track on Graph Models for Learning and Recognition2022
Autre publication scientifique
hal-04493428v1
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Detection, tracking, and behaviour analysis of moving people in intelligent video surveillance systems2006
Pré-publication, Document de travail
hal-01464812v1
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