Maxime Devanne

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Publications

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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

Conflict Management in a Distance to Prototype-Based Evidential Neural Network

Dănuţ-Vasile Giurgi , Mihreteab Negash Geletu , Thomas Josso-Laurain , Maxime Devanne , Jean-Philippe Lauffenburger et al.

International Journal of Approximate Reasoning, 2025, pp.109508. ⟨10.1016/j.ijar.2025.109508⟩

Article dans une revue hal-05114051v1
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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
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Time series adversarial attacks: an investigation of smooth perturbations and defense approaches

Gautier Pialla , Hassan Ismail Fawaz , Maxime Devanne , Jonathan Weber , Lhassane Idoumghar et al.

International Journal of Data Science and Analytics, 2023, ⟨10.1007/s41060-023-00438-0⟩

Article dans une revue hal-04535654v1
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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 Lauffenburger et al.

Advances and Applications of DSmT for Information Fusion, 2023, 5, pp.897-906

Article dans une revue hal-05365831v1
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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-Pronost et al.

BioMed Research International , 2022, 2022, pp.1-10. ⟨10.1155/2022/5667223⟩

Article dans une revue hal-03606239v1
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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
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Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation

Amina Ben Hamida , Maxime Devanne , Jonathan Weber , Caroline Truntzer , Valentin Derangère et al.

Artificial Intelligence in Medicine, 2022, ⟨10.1016/j.artmed.2022.102407⟩

Article dans une revue hal-03797652v1
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Deep learning for colon cancer histopathological images analysis

Amina Ben Hamida , Maxime Devanne , Jonathan Weber , Caroline Truntzer , Valentin Derangère et al.

Computers in Biology and Medicine, 2021, ⟨10.1016/j.compbiomed.2021.104730⟩

Article dans une revue hal-03321646v1
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Motion Segments Decomposition of RGB-D Sequences for Human Behavior Understanding

Maxime Devanne , Stefano Berretti , Pietro Pala , Hazem Wannous , Mohamed Daoudi et al.

Pattern Recognition, 2017, 61, pp.222 - 233. ⟨10.1016/j.patcog.2016.07.041⟩

Article dans une revue hal-01521148v1
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3D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold

Maxime Devanne , Hazem Wannous , Stefano Berretti , Pietro Pala , Mohamed Daoudi et al.

IEEE Transactions on Cybernetics, 2015, 45 (7), pp.1340-1352

Article dans une revue hal-01056397v1
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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
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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
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Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles

Javidan Abdullayev , Maxime Devanne , Cyril Meyer , Ali Ismail-Fawaz , Jonathan Weber et 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
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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
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Deep Neural Network Architectures for Advanced Hiking Map Generation

Olivier Schirm , Maxime Devanne , Jonathan Weber , Arnaud Lecus , Germain Forestier et 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
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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
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COCALITE: A Hybrid Model COmbining CAtch22 and LITE for Time Series Classification

Oumaima Badi , Maxime Devanne , Ali Ismail-Fawaz , Javidan Abdullayev , Vincent Lemaire et 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
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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
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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
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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
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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
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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 Lauffenburger et 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
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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 Lauffenburger et al.

ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France

Communication dans un congrès hal-04219566v1
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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
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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
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Intelligent vehicles semantic segmentation using evidential deep learning

Danut-Vasile Giurgi , Mihreteab Negash Geletu , Thomas Josso-Laurain , Maxime Devanne , Jean-Philippe Lauffenburger et al.

Upper Rhine Artificial Intelligence Symposium 2023, Nov 2023, Mulhouse, France

Communication dans un congrès hal-04763422v1

Evidential deep learning-based multi-modal environment perception for intelligent vehicles

Mihreteab Negash Geletu , Dănuţ-Vasile Giurgi , Thomas Josso-Laurain , Maxime Devanne , Mengesha Mamo Wogari et 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
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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
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ShapeDBA: Generating Effective Time Series Prototypes Using ShapeDTW Barycenter Averaging

Ali Ismail-Fawaz , Hassan Ismail Fawaz , François Petitjean , Maxime Devanne , Jonathan Weber et 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
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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 Forestier et al.

ORASIS 2023, Laboratoire LIS, UMR 7020, May 2023, Carqueiranne, France

Communication dans un congrès hal-04219570v1
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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
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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
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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
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Deep Representation Learning for Cluster-Level Time Series Forecasting

Tsegamlak Debella , Bethelhem Shawel , Maxime Devanne , Jonathan Weber , Dereje Woldegebreal et 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
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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
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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
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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
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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
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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
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Smooth Perturbations for Time Series Adversarial Attacks

Gautier Pialla , Hassan Ismail Fawaz , Maxime Devanne , Jonathan Weber , Lhassane Idoumghar et 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
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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
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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
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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
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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
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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
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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
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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 Kermarrec et 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
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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
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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
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Learning Shape Variations of Motion Trajectories for Gait Analysis

Maxime Devanne , Hazem Wannous , Mohamed Daoudi , Stefano Berretti , Alberto Del Bimbo et 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
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Combined Shape Analysis of Human Poses and Motion Units for Action Segmentation and Recognition

Maxime Devanne , Hazem Wannous , Stefano Berretti , Pietro Pala , Mohamed Daoudi et 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
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Reconnaissance d’actions humaines 3D par l’analyse de forme des trajectoires de mouvement.

Maxime Devanne , Hazem Wannous , Stefano Berretti , Pietro Pala , Mohamed Daoudi et al.

Compression et Représentation des Signaux Audiovisuels (CORESA), Nov 2014, Reims, France

Communication dans un congrès hal-01207938v1
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Space-time Pose Representation for 3D Human Action Recognition

Maxime Devanne , Hazem Wannous , Stefano Berretti , Pietro Pala , Mohamed Daoudi et al.

ICIAP Workshop on Social Behaviour Analysis, Sep 2013, Naples, France. pp.1

Communication dans un congrès hal-00839494v1
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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