Maxime Devanne

Identifiants chercheurs

IdHAL :

maxime-devanne

ORCID :

0000-0002-1458-3855

IdRef :

191718076

Présentation

Publications

Article dans une revue (12)

Conflict Management in a Distance to Prototype-Based Evidential Neural Network Dănuţ-Vasile Giurgi,Mihreteab Negash Geletu,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburgeret al. International Journal of Approximate Reasoning, 2025, pp.109508. ⟨10.1016/j.ijar.2025.109508⟩ Article dans une revue hal-05114051v1
Establishing a unified evaluation framework for human motion generation: A comparative analysis of metrics Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier Computer Vision and Image Understanding, 2025, 254, pp.104337. ⟨10.1016/j.cviu.2025.104337⟩ Article dans une revue hal-05142916v1
Look into the LITE in deep learning for time series classification Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier International Journal of Data Science and Analytics, 2025, pp.1--21. ⟨10.1007/s41060-024-00708-5⟩ Article dans une revue hal-04933061v1
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches Gautier Pialla,Hassan Ismail Fawaz,Maxime Devanne,Jonathan Weber,Lhassane Idoumgharet al. International Journal of Data Science and Analytics, 2023, ⟨10.1007/s41060-023-00438-0⟩ Article dans une revue hal-04535654v1
Estimating time series averages from latent space of multi-tasking neural networks Tsegamlak Terefe,Maxime Devanne,Jonathan Weber,Dereje Hailemariam,Germain Forestier Knowledge and Information Systems (KAIS), 2023, 65 (11), pp.4967 - 5004. ⟨10.1007/s10115-023-01927-1⟩ Article dans une revue hal-04535655v1
Decision Based on Belief Interval for Multi-class Obstacle Perception of Self-driving Cars Danut-Vasile Giurgi,Mihreteab Negash Geletu,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburgeret al. Advances and Applications of DSmT for Information Fusion, 2023, 5, pp.897-906 Article dans une revue hal-05365831v1
Technical Feasibility of Supervision of Stretching Exercises by a Humanoid Robot Coach for Chronic Low Back Pain: The R-COOL Randomized Trial Agathe Blanchard,Sao Mai Nguyen,Maxime Devanne,Mathieu Simonnet,Myriam Le Goff-Pronostet al. BioMed Research International , 2022, 2022, pp.1-10. ⟨10.1155/2022/5667223⟩ Article dans une revue hal-03606239v1
Semantics to the rescue of document‐based XML diff: A JATS case study Milos Cuculovic,Frederic Fondement,Maxime Devanne,Jonathan Weber,Michel Hassenforder Software: Practice and Experience, In press, ⟨10.1002/spe.3074⟩ Article dans une revue hal-03606179v1
Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation Amina Ben Hamida,Maxime Devanne,Jonathan Weber,Caroline Truntzer,Valentin Derangèreet al. Artificial Intelligence in Medicine, 2022, ⟨10.1016/j.artmed.2022.102407⟩ Article dans une revue hal-03797652v1
Deep learning for colon cancer histopathological images analysis Amina Ben Hamida,Maxime Devanne,Jonathan Weber,Caroline Truntzer,Valentin Derangèreet al. Computers in Biology and Medicine, 2021, ⟨10.1016/j.compbiomed.2021.104730⟩ Article dans une revue hal-03321646v1
Motion Segments Decomposition of RGB-D Sequences for Human Behavior Understanding Maxime Devanne,Stefano Berretti,Pietro Pala,Hazem Wannous,Mohamed Daoudiet al. Pattern Recognition, 2017, 61, pp.222 - 233. ⟨10.1016/j.patcog.2016.07.041⟩ Article dans une revue hal-01521148v1
3D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold Maxime Devanne,Hazem Wannous,Stefano Berretti,Pietro Pala,Mohamed Daoudiet al. IEEE Transactions on Cybernetics, 2015, 45 (7), pp.1340-1352 Article dans une revue hal-01056397v1

Communication dans un congrès (45)

Prédiction du risque d'échec dans un MOOC : une approche basée sur l'analyse des séries temporelles multivariées Anass El Ayady,Maxime Devanne,Germain Forestier,Nour El Mawas Environnements Informatiques pour l’Apprentissage Humain 2025, ATIEF, Jun 2025, Villeneuve d’Ascq (Lille), France. pp.416-426, ⟨10.48550/arXiv.2507.21118⟩ Communication dans un congrès hal-05157634v2
A Comparative Study of CNNs and Vision-Language Models for Chart Image Classification Bruno Côme,Maxime Devanne,Jonathan Weber,Germain Forestier International Conference on Agents and Artificial Intelligence (ICAART), Feb 2025, Porto, France. pp.816 - 827, ⟨10.5220/0013374500003890⟩ Communication dans un congrès hal-05350757v1
Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles Javidan Abdullayev,Maxime Devanne,Cyril Meyer,Ali Ismail-Fawaz,Jonathan Weberet al. IEEE International Joint Conference on Neural Networks (IJCNN), Jun 2025, Rome, France. pp.1-10, ⟨10.1109/IJCNN64981.2025.11228372⟩ Communication dans un congrès hal-05407023v1
Étude Comparative des CNNs et des Vision-Language Models pour la Classification d'Images de Graphiques Bruno Côme,Maxime Devanne,Jonathan Weber,Germain Forestier ORASIS 2025, ISEN Yncréa Ouest, Jun 2025, Le Croisic, France Communication dans un congrès hal-05131250v1
Deep Neural Network Architectures for Advanced Hiking Map Generation Olivier Schirm,Maxime Devanne,Jonathan Weber,Arnaud Lecus,Germain Forestieret al. International Conference on Pattern Recognition Applications and Methods (ICPRAM), Feb 2025, Porto, Portugal. pp.531-541, ⟨10.5220/0013351700003905⟩ Communication dans un congrès hal-04909516v1
Finding Foundation Models for Time Series Classification with a PreText Task Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) - International Workshop on Temporal Analytics, May 2024, Taipei, Taiwan. pp.123 - 135, ⟨10.1007/978-981-97-2650-9_10⟩ Communication dans un congrès hal-04946870v1
COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification Oumaima Badi,Maxime Devanne,Ali Ismail-Fawaz,Javidan Abdullayev,Vincent Lemaireet al. IEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.1229-1236, ⟨10.1109/BigData62323.2024.10825872⟩ Communication dans un congrès hal-04949077v1
A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis Sao Mai Nguyen,Maxime Devanne,Olivier Remy-Neris,Mathieu Lempereur,Andre Thepaut IJCNN 2024: International Joint Conference on Neural Networks, IEEE, Jun 2024, Yokohama, Japan. ⟨10.1109/IJCNN60899.2024.10650036⟩ Communication dans un congrès hal-04629541v2
Fusion of Semantic Segmentation Models for Vehicle Perception Tasks Danut-Vasile Giurgi,Jean Dezert,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburger Fusion 2024, Jul 2024, Venise, Italy Communication dans un congrès hal-04724310v1
Evidential Deep Learning For Sensor Fusion Mihreteab Negash Geletu,Jean-Philippe Lauffenburger,Thomas Josso-Laurain,Maxime Devanne,Mengesha Mamo Wogari 2024 27th International Conference on Information Fusion (FUSION), Jul 2024, Venise, Italy. pp.1-8, ⟨10.23919/FUSION59988.2024.10706424⟩ Communication dans un congrès hal-05488706v2
A Supervised Variational Auto-encoder for Human Motion Generation Using Convolutional Neural Networks Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Jul 2024, Jeju Island, South Korea. pp.166 - 181, ⟨10.1007/978-981-97-8705-0_11⟩ Communication dans un congrès hal-04946867v1
Weighted Average of Human Motion Sequences for Improving Rehabilitation Assessment Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2024, Vilnius, Lithuania. pp.131 - 146, ⟨10.1007/978-3-031-77066-1_8⟩ Communication dans un congrès hal-04949058v1
Evidential Deep Learning For Sensor Fusion Mihreteab Negash Geletu,Jean-Philippe Lauffenburger,Thomas Josso-Laurain,Maxime Devanne,Mengesha Mamo Wogari 2024 27th International Conference on Information Fusion (FUSION), Jul 2024, Venice, France. pp.1-8, ⟨10.23919/FUSION59988.2024.10706424⟩ Communication dans un congrès hal-05024209v1
Conflict Management in a Distance to Prototype-Based Evidential Deep Learning Mihreteab Negash Geletu,Dănuţ-Vasile Giurgi,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburgeret al. 8th International Conference on Belief Functions, Sep 2024, Belfast, United Kingdom. pp.87-97, ⟨10.1007/978-3-031-67977-3_10⟩ Communication dans un congrès hal-05514490v1
Perception multimodale de l'environnement basée sur l'apprentissage profond évidentiel pour les véhicules intelligents Vasile Giurgi,Mihreteab Negash Geletu,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburgeret al. ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219566v1
Enhancing Time Series Classification with Self-Supervised Learning Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier International Conference on Agents and Artificial Intelligence (ICAART), Feb 2023, Lisbon, France. pp.40-47, ⟨10.5220/0011611300003393⟩ Communication dans un congrès hal-04143083v1
Augmentation de données pour la classification de séries temporelles avec des modèles d'apprentissage profonds Gautier Pialla,Maxime Devanne,Jonathan Weber,Lhassane Idoumghar,Germain Forestier ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219452v1
Evidential deep learning-based multi-modal environment perception for intelligent vehicles Mihreteab Negash Geletu,Dănuţ-Vasile Giurgi,Thomas Josso-Laurain,Maxime Devanne,Mengesha Mamo Wogariet al. 2023 IEEE Intelligent Vehicles Symposium (IV), Jun 2023, Anchorage, France. pp.1-6, ⟨10.1109/IV55152.2023.10186581⟩ Communication dans un congrès hal-05024210v1
Intelligent vehicles semantic segmentation using evidential deep learning Danut-Vasile Giurgi,Mihreteab Negash Geletu,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburgeret al. Upper Rhine Artificial Intelligence Symposium 2023, Nov 2023, Mulhouse, France Communication dans un congrès hal-04763422v1
Développement d'algorithmes d'intelligence artificielle pour du mapping vidéo sur une scène de théâtre Thomas Josso-Laurain,Laurent Baltenweck,Maxime Devanne,Isabelle Lefèvre,Laurent Vonna Drôles d'objets 2023, May 2023, Nancy, France. ⟨10.48550/arXiv.2006.14668⟩ Communication dans un congrès hal-04701379v1
ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging Ali Ismail-Fawaz,Hassan Ismail Fawaz,François Petitjean,Maxime Devanne,Jonathan Weberet al. ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Sep 2023, Torino, Italy. pp.127 - 142, ⟨10.1007/978-3-031-49896-1_9⟩ Communication dans un congrès hal-04949027v1
Une approche multi-grilles pour la génération automatique d'une carte de sentiers de randonnée à partir de données GPS Olivier Schirm,Maxime Devanne,Jonathan Weber,Arnaud Lecus,Germain Forestieret al. ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219570v1
LITE: Light Inception with boosTing tEchniques for Time Series Classification Ali Ismail-Fawaz,Maxime Devanne,Stefano Berretti,Jonathan Weber,Germain Forestier IEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2023, Thessaloniki, France. pp.1-10, ⟨10.1109/dsaa60987.2023.10302569⟩ Communication dans un congrès hal-04535657v1
Apprentissage en Profondeur pour la Classification des Séries Temporelles à l'aide de Nouveaux Filtres de Convolution Créés Manuellement Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France Communication dans un congrès hal-04219450v1
Ensemble clustering for histopathological images segmentation using convolutional autoencoders Ilias Rmouque,Jonathan Weber,Maxime Devanne,Germain Forestier,Cédric Wemmert International Conference on Computer Vision Theory and Applications (VISAPP), Feb 2022, En ligne, France. pp.933-940, ⟨10.5220/0010835300003124⟩ Communication dans un congrès hal-03469780v1
Data Augmentation for Time Series Classification with Deep Learning Models Gautier Pialla,Maxime Devanne,Jonathan Weber,Lhassane Idoumghar,Germain Forestier ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data, Sep 2022, Grenoble, France. pp.117 - 132, ⟨10.1007/978-3-031-24378-3_8⟩ Communication dans un congrès hal-05121381v1
Deep Learning Based Architecture Reduction on Camera-Lidar Fusion for Autonomous Vehicles Mihreteab Negash Geletu,Thomas Josso-Laurain,Maxime Devanne,Mengesha Mamo Wogari,Jean-Philippe Lauffenburger 2022 2nd International Conference on Computers and Automation (CompAuto), IEEE, Aug 2022, Paris, France. pp.25-31, ⟨10.1109/CompAuto55930.2022.00012⟩ Communication dans un congrès hal-04008398v1
Real-time road detection implementation of UNet architecture for autonomous driving Danut-Vasile Giurgi,Thomas Josso-Laurain,Maxime Devanne,Jean-Philippe Lauffenburger 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), Jun 2022, Nafplio, Greece. pp.1-5, ⟨10.1109/ivmsp54334.2022.9816237⟩ Communication dans un congrès hal-04008516v1
Deep Representation Learning for Cluster-Level Time Series Forecasting Tsegamlak Debella,Bethelhem Shawel,Maxime Devanne,Jonathan Weber,Dereje Woldegebrealet al. International Conference on Time Series and Forecasting (ITISE), Jun 2022, Gran Canaria, Spain. pp.22, ⟨10.3390/engproc2022018022⟩ Communication dans un congrès hal-03800178v1
A study of Knowledge Distillation in Fully Convolutional Network for Time Series Classification Emel Ay,Maxime Devanne,Jonathan Weber,Germain Forestier International Joint Conference on Neural Networks (IJCNN), Jul 2022, Padua, France. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892915⟩ Communication dans un congrès hal-03800230v1
Deep Learning For Time Series Classification Using New Hand-Crafted Convolution Filters Ali Ismail-Fawaz,Maxime Devanne,Jonathan Weber,Germain Forestier IEEE International Conference on Big Data (Big Data), Dec 2022, Osaka, Japan. pp.972-981, ⟨10.1109/bigdata55660.2022.10020496⟩ Communication dans un congrès hal-04143093v1
Smooth Perturbations for Time Series Adversarial Attacks Gautier Pialla,Hassan Ismail Fawaz,Maxime Devanne,Jonathan Weber,Lhassane Idoumgharet al. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2022, Chengdu, China. pp.485 - 496, ⟨10.1007/978-3-031-05933-9_38⟩ Communication dans un congrès hal-03800377v1
Auto-encodeur multi-tâches pour le calcul de moyennes de séries temporelles Tsegamlak Terefe,Maxime Devanne,Jonathan Weber,Dereje Hailemariam,Germain Forestier Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France Communication dans un congrès hal-03604169v1
Segmentation non-supervisée d'images histopathologiques à l'aide d'auto-encodeurs et d'ensemble clustering Ilias Rmouque,Maxime Devanne,Jonathan Weber,Germain Forestier,Cédric Wemmert Atelier Apprentissage profond: Théorie et Applications (APTA), Journées Francophones Extraction et Gestion des Connaissances (EGC), Jan 2021, Montpellier, France Communication dans un congrès hal-03604158v1
Time Series Averaging Using Multi-Tasking Autoencoder Tsegamlak Terefe,Maxime Devanne,Jonathan Weber,Dereje Hailemariam,Germain Forestier IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Nov 2020, Baltimore, MD, United States. pp.1065-1072, ⟨10.1109/ictai50040.2020.00163⟩ Communication dans un congrès hal-03536043v1
Change Detection on JATS Academic Articles: An XML Diff Comparison Study Milos Cuculovic,Frederic Fondement,Maxime Devanne,Jonathan Weber,Michel Hassenforder DocEng '20, Sep 2020, En ligne, United States. pp.1-10, ⟨10.1145/3395027.3419581⟩ Communication dans un congrès hal-03714834v1
Recognition of Activities of Daily Living via Hierarchical Long-Short Term Memory Networks Maxime Devanne,Panagiotis Papadakis,Sao Mai Nguyen SMC 2019 : IEEE International Conference on Systems, Man, and Cybernetics, Oct 2019, Bari, Italy. ⟨10.1109/SMC.2019.8914457⟩ Communication dans un congrès hal-02194928v1
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations Maxime Devanne,Sao Mai Nguyen IEEE ECCV Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), Sep 2018, Munich, Germany. pp.190-197, ⟨10.1007/978-3-030-11012-3_15⟩ Communication dans un congrès hal-01891414v4
A co-design approach for a rehabilitation robot coach for physical rehabilitation based on the error classification of motion errors Maxime Devanne,Sao Mai Nguyen,Olivier Rémy-Néris,Beatrice Le Gales-Garnett,Gilles Kermarrecet al. IRC 2018 : Second IEEE International Conference on Robotic Computing, Jan 2018, Laguna Hills, CA,, United States. ⟨10.1109/IRC.2018.00074⟩ Communication dans un congrès hal-01886751v3
Multi-level Motion Analysis for Physical Exercises Assessment in Kinaesthetic Rehabilitation Maxime Devanne,Sao Mai Nguyen Humanoids 2017 : IEEE-RAS 17th International Conference on Humanoid Robots, Nov 2017, Birmingham, United Kingdom. ⟨10.1109/HUMANOIDS.2017.8246923⟩ Communication dans un congrès hal-01886757v2
Learning Shape Variations of Motion Trajectories for Gait Analysis Maxime Devanne,Hazem Wannous,Mohamed Daoudi,Stefano Berretti,Alberto Del Bimboet al. International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. pp.895 - 900, ⟨10.1109/ICPR.2016.7899749⟩ Communication dans un congrès hal-01535085v1
Novel Generative Model for Facial Expressions Based on Statistical Shape Analysis of Landmarks Trajectories Paul Audain Desrosiers,Mohamed Daoudi,Maxime Devanne 23rd International Conference on Pattern Recognition, ICPR 2016, International Association for Pattern Recognition, Dec 2016, Cancún, Mexico. pp.961 - 966, ⟨10.1109/ICPR.2016.7899760⟩ Communication dans un congrès hal-01521379v1
Combined Shape Analysis of Human Poses and Motion Units for Action Segmentation and Recognition Maxime Devanne,Hazem Wannous,Stefano Berretti,Pietro Pala,Mohamed Daoudiet al. International Workshop on Understanding Human Activities through 3D Sensors (UHA3DS'15) hosted by IEEE International Conference on Automatic Face and Gesture Recognition, May 2015, Ljubljana, Slovenia Communication dans un congrès hal-01207932v1
Reconnaissance d’actions humaines 3D par l’analyse de forme des trajectoires de mouvement. Maxime Devanne,Hazem Wannous,Stefano Berretti,Pietro Pala,Mohamed Daoudiet al. Compression et Représentation des Signaux Audiovisuels (CORESA), Nov 2014, Reims, France Communication dans un congrès hal-01207938v1
Space-time Pose Representation for 3D Human Action Recognition Maxime Devanne,Hazem Wannous,Stefano Berretti,Pietro Pala,Mohamed Daoudiet al. ICIAP Workshop on Social Behaviour Analysis, Sep 2013, Naples, France. pp.1 Communication dans un congrès hal-00839494v1

Chapitre d'ouvrage (1)

Rééducation fonctionnelle assistée par robot humanoïde André Thépaut,Sao Mai Nguyen,Maxime Devanne,Olivier Rémy-Néris Robots, de nouveaux partenaires de soins psychiques, ERES, pp.157-165, 2018, ⟨10.3917/eres.tisse.2018.02.0157⟩ Chapitre d'ouvrage hal-03604132v1

Pré-publication, Document de travail (1)

Human-Robot Interaction in senior health care: a qualitative cases-study research on seniors experiencing a robot-coached functional rehabilitation exercise Beatrice Le Gales-Garnett,Gilles Kermarrec,André Thépaut,Sao Mai Nguyen,Maxime Devanneet al. 2019 Pré-publication, Document de travail hal-02351086v1

Thèse (1)

3D Human Behavior Understanding by Shape Analysis of Human Motion and Pose Maxime Devanne Computer Science [cs]. Université Lille 1 - Sciences et Technologies, 2015. English. ⟨NNT : ⟩ Thèse tel-01707393v1

Poster de conférence (2)

A Physical Rehabilitation Robot Coaching Patients: a Long-Term Dataset for Body Movement Analysis Sao Mai Nguyen,Maxime Devanne,Olivier Remy-Neris,Mathieu Lempereur,André Thépaut IROS 2024 LBR, Oct 2024, Abu Dhabi, United Arab Emirates Poster de conférence hal-05309544v1
Computational Modeling of Human Social Intention Mohamed Daoudi,Maxime Devanne,Francois Quesque,Yann Coello ECCV, 1st Workshop on Action and Anticipation for Visual Learning, Oct 2016, Amsterdam, Netherlands. ⟨10.1007/978-3-540-69162-4_20⟩ Poster de conférence hal-01539574v1