^{NOUS SOMMES TOUS DES UKRAINIENS}    

- "HiER: Highlight Experience Replay for Boosting Off-Policy Reinforcement Learning Agents", D. Horváth, J. B. Martín, F. G. Erdos, Z. Istenes and F. Moutarde, IEEE Access, doi: 10.1109/ACCESS.2024.3427012, 2024.

- "PANO-ECHO: PANOramic depth prediction enhancement with ECHO features", Xiaohu Liu, Amandine Brunetto, Sascha Hornauer, Fabien Moutarde and Jialiang Lu, 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 1063-1070, 2024.

- "MBAPPE: MCTS-Built-Around Prediction for Planning Explicitly", Raphaël Chekroun , Thomas Gilles , Marin Toromanoff, Sascha Hornauer and Fabien Moutarde, 2024 IEEE Intelligent Vehicles Symposium (IV'2024), Jeju Island (Republic of Korea), pp. 2062-2069, doi: 10.1109/IV55156.2024.10588457, 2024.

- "GRI: General reinforced imitation and its application to vision-based autonomous driving", Raphaël Chekroun, Marin Toromanoff, Sascha Hornauer and Fabien Moutarde, MDPI Robotics, 12(5):127, 2023.

- "The Audio-Visual BatVision Dataset for Research on Sight and Sound", Amandine Brunetto, Sascha Hornauer, Stella X. Yu and Fabien Moutarde, proc. of 2023 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS'2023), Detroit (USA), Oct. 2023.

- "TSGN: Temporal Scene Graph Neural Networks with Projected Vectorized Representation for Multi-Agent Motion Prediction", Yunong Wu, Thomas Gilles, Bogdan Stanciulescu and Fabien Moutarde, proc. of 35th IEEE Intelligent Vehicles Symposium (IV'2023), Anchorage (USA), June 2023.

- "Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks", Jesus Bujalance Martin and Fabien Moutarde, presented at the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS'2023), London (United Kingdom), 29 May-2 June 2023.

- "Pre-trained Image Encoder for Data-Efficient Reinforcement Learning and Sim-to-Real transfer on Robotic-Manipulation tasks", Jesus Bujalance Martin, Tao Yu and Fabien Moutarde, presented at Workshop on Pre-training Robot Learning, 2022 conference on Robot Learning (CoRL'2022), Auckland (New Zealand) and virtual, Dec.2022.

- "Asymmetrical Bi-RNN for Pedestrian Trajectory Encoding", Raphaël Rozenberg, Fabien Moutarde and Joseph Gesnouin, proc. Reconnaissance des Formes, Image, Apprentissage et Perception (RFIAP'2022), Vannes (France), July 2022.

- "Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors", Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu and Fabien Moutarde, proc. of 33rd IEEE Intelligent Vehicles Symposium (IV'2022), Aachen (Germany), June 2022.

- "GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation", Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu and Fabien Moutarde, proc. of IEEE International Conference on Robotics and Automation (ICRA'2022), Philadelphia (USA), May 2022.

- "Uncertainty estimation for Cross-dataset performance in Trajectory prediction", Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu and Fabien Moutarde, presented at Workshop on Fresh Perspectives on the Future of Autonomous Driving, IEEE International Conference on Robotics and Automation (ICRA'2022), Philadelphia (USA), May 2022.

- "THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling", Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu and Fabien Moutarde, proc. of International Conference on Learning Representations (ICLR'2022), Virtual, Apr.2022.

- "GRIAD: General Reinforced Imitation for Autonomous Driving. Method ranked #1 and #4 in CARLA Challenge 2021", Raphaël Chekroun, Marin Toromanoff, Sascha Hornauer and Fabien Moutarde, presented at NeurIPS 2021 Workshop on Machine Learning for Autonomous Driving (MLAD), Virtual, Dec. 2021.

- "Learning from demonstrations with SACR2: Soft Actor-Critic with Reward Relabeling", Jesus Bujalance Martin, Raphaël Chekroun and Fabien Moutarde, presented at the 'Deep Reinforcement Learning' workshop of the 35th Conference on Neural Information Processing Systems (NeurIPS'2021) to be held virtually on Dec.13th 2021.

- "TrouSPI-Net: Spatio-temporal attention on parallel atrous convolutions and U-GRUs for skeletal pedestrian action prediction", Joseph Gesnouin, Steve Pechberti, Bogdan Stanciulescu and Fabien Moutarde, proc. of 2021 IEEE International Conference on Automatic Face and Gesture Recognition (FG'2021), Dec.15-18 2021.

- "Asymmetrical Bi-RNNs, 3rd place solution at the ICCV Trajnet++ Challenge for pedestrian trajectory forecasting", Raphaël Rozenberg, Joseph Gesnouin and Fabien Moutarde, Workshop on Multi-Agent Interaction and Relational Reasoning, International Conference on Computer Vision (ICCV'2021), Oct.2021.

- "HOME: Heatmap Output for future Motion Estimation", Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou, Bogdan Stanciulescu, and Fabien Moutarde, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC'2021), Indianapolis (USA), Sept.19-22 2021.

- "Asymmetrical Bi-RNNs (U-RNNs), 2nd place solution at the Trajnet++ Challenge for pedestrian trajectory forecasting", Raphaël Rozenberg, Joseph Gesnouin, and Fabien Moutarde, Workshop on Long-term Human Motion Prediction, 2021 IEEE International Conference on Robotics and Automation (ICRA'2021), May 2021.

- "Predicting Intentions of Pedestrians from 2D Skeletal Pose Sequences with a Representation-Focused Multi-Branch Deep Learning Network Algorithms", Joseph Gesnouin, Steve Pechberti, Guillaume Bresson, Bogdan Stanciulescu, and Fabien Moutarde, Algorithms, MDPI, 13 (12), pp.331, 2020.

- "Generative Model for Skeletal Human Movements Based on Conditional DC-GAN Applied to Pseudo-Images", Wang Xi, Guillaume Devineau, Fabien Moutarde, and Jie Yang, Algorithms, MDPI, 13 (12), pp.319, 2020.

- "Vision and Wi-Fi fusion in probabilistic appearance-based localization", Mathieu Nowakowski, Cyril Joly, Sébastien Dalibard, Nicolas Garcia and Fabien Moutarde, International Journal of Robotics Research (IJRR), April 2020.

- "End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances", Marin Toromanoff, Emilie Wirbel and Fabien Moutarde, IEEE conf. on Computer Vision and Pattern Recognition (CVPR'2020), Seattle (USA), 14-19 June 2020.

- "Is Deep Reinforcement Learning Really Superhuman on Atari?", Marin Toromanoff, Emilie Wirbel and Fabien Moutarde, Deep Reinforcement Learning Workshop of 39th Conference on Neural Information Processing Systems (Neurips'2019), Vancouver (Canada), December 2019.

- "Vehicle absolute ego-localization from vision, using only pre-existing geo-referenced panoramas", Fabien Moutarde, Guillaume Bresson, Li YU and Cyril Joly, Proc. of 19th Int. Conf. on Reliability and Statistics in Transportation and Communications (RelStat'2019), Riga (Latvia), 16-19 October 2019.

- "Gestual control of robot manipulator through Deep-Learning human pose inference", Jesus Bujalance Martin and Fabien Moutarde, Workshop in Movement analytics and gesture recognition for Human-Machine Collaboration in Industry 4.0, 12th Int. Conf. on Computer Vision Systems (ICVS'2019), Thessaloniki (Greece), 23-25 September 2019.

- "Deep Reinforcement Learning for autonomous driving", Marin Toromanoff, Emilie Wirbel and Fabien Moutarde, workshop on "CARLA Autonomous Driving Challenge", IEEE conf. on Computer Vision and Pattern Recognition (CVPR'2019), Long Beach (USA), June 2019.

- "Urban Localization with Street Views using a Convolutional Neural Network for End-to-End Camera Pose Regression", Guillaume Bresson, Li Yu, Cyril Joly and Fabien Moutarde, proc. of Intelligent Vehicle symposium (IV'2019), Paris (France), June 2019.

- "Les IntelligenceS ArtificielleS pour l'Industrie : quel type pour quelle innovation ?", Fabien Moutarde, Les Entretiens de Toulouse, Toulouse (France), 10-11 avril 2019.

- "Apprentissage Statistique Supervisé", Fabien Moutarde, H5010, Techniques de l'Ingénieur, février 2019.

- "Multi-users online recognition of technical gestures for natural Human-Robot Collaboration in manufacturing", Eva Coupeté, Fabien Moutarde and Sotiris Manitsaris, Autonomous Robots journal, https://doi.org/10.1007/s10514-018-9704-y, 2018.

- "Coupled Longitudinal and Lateral Control of a Vehicle Using Deep Learning", Guillaume Devineau, Philip Polack, Florent Altché and Fabien Moutarde, proc. of 21st IEEE International Conference on Intelligent Transportation Systems (ITSC'2018), Maui, Hawaii, USA, November 4-7, 2018.

- "End to End Vehicle Lateral Control Using a Single Fisheye Camera", Marin Toromanoff, Emilie Wirbel, Frédéric Wilhelm, Camilo Vejarano, Xavier Perrotton et Fabien Moutarde, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 1-5 oct. 2018.

- "Convolutional Neural Networks for Multivariate Time Series Classification using both Inter- and Intra- Channel Parallel Convolutions", Guillaume Devineau, Wang Xi, Fabien Moutarde and Jie Yang, proc. of conference on "Reconnaissance des Formes, Image, Apprentissage et Perception" (RFIAP'2018), Marne-la-Vallée, France, 26-28 june 2018.

   [Le code source et les data correspondant aux articles ci-dessus et ci-dessous sont disponibles en-ligne sur github]

- "Deep Learning for Hand Gesture Recognition on Skeletal Data", Guillaume Devineau, Wang Xi, Fabien Moutarde and Jie Yang, proc. 13th IEEE Conference on Automatic Face and Gesture Recognition (FG'2018), Xi'An (China), 15-19 May 2018.

- "A Natural User Interface for Gestural Expression and Emotional Elicitation to access the Musical Intangible Cultural Heritage", Christina Volioti, Sotiris Manitsaris, Edgar Hemery, Stelios Hadjidimitriou, Vasileios Charisis, Leontios Hadjileontiadis, Eleni Katsouli, Fabien Moutarde and Athanasios Manitsaris, Journal on Computing and Cultural Heritage (JOCCH), Vol. 11, Issue 2, 2018.

- "Topological Localization Using Wi-Fi and Vision Merged into FABMAP Framework", Mathieu Nowakowski, Cyril Joly, Sebastien Dalibard, Nicolas Garcia and Fabien Moutarde, proc. of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'2017), Vancouver (Canada), September 24-28, 2017.

- "Monocular Urban Localization using Street View", Li Yu, Cyril Joly, Guillaume Bresson and Fabien Moutarde, proc. of 14th International Conference on Control, Automation, Robotics and Vision (ICARCV'2016), Phuket (Thailand), November 13-15, 2016.

- "A Distributed MPC Framework for Road-Following Formation Control of Car-like Vehicles", Xiangjun Qian, Florent Altche, Arnaud de La Fortelle and Fabien Moutarde, proc. of 14th International Conference on Control, Automation, Robotics and Vision (ICARCV'2016), Phuket (Thailand), November 13-15, 2016.

- "Improving Robustness of Monocular Urban Localization using Augmented Street View", Li Yu, Cyril Joly, Guillaume Bresson and Fabien Moutarde, proc. of 19th IEEE International Conference on Intelligent Transportation Systems (ITSC'2016), Rio de Janeiro (Brazil), November 1-4 2016.

- "Motion Planning for Urban Autonomous Driving using Bézier Curves and MPC", Xiangjun Qian, Iñaki Navarro, Arnaud de La Fortelle and Fabien Moutarde, proc. of 19th IEEE International Conference on Intelligent Transportation Systems (ITSC'2016), Rio de Janeiro (Brazil), November 1-4 2016.

- "New Challenges for Human-Robot Collaboration in an Industrial Context: Acceptability and Natural Collaboration", Eva Coupeté, Vincent Weistroffer, Olivier Hugues, Fabien Moutarde, Sotiris Manitsaris and Philippe Fuchs, proc. 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN'2016), New York City (USA), August 26-31 2016.

- "A tabletop instrument for manipulation of sound morphologies with hands, fingertips and upper-body", Edgar Hemery, Sotiris Manitsaris and Fabien Moutarde, proc. 3rd International Symposium on Movement and Computing (MOCO'2016), Thessaloniki (Greece), 5-6 July 2016.

- "A User-Adaptive Gesture Recognition System Applied to Human-Robot Collaboration in Factories", Eva Coupeté, Fabien Moutarde and Sotiris Manitsaris, proc. 3rd International Symposium on Movement and Computing (MOCO'2016), Thessaloniki (Greece), 5-6 July 2016.

- "Towards the design of augmented feedforward and feedback for sensorimotor learning of motor skills", Paraskevi Kritopoulou, Sotiris Manitsaris and Fabien Moutarde, proc. 3rd International Symposium on Movement and Computing (MOCO'2016), Thessaloniki (Greece), 5-6 July 2016.

- "Fingers gestures early-recognition with a unified framework for RGB or depth camera", Sotiris Manitsaris, Apostolos Tsagaris, Alina Glushkova, Fabien Moutarde, Frédéric Bevilacqua, proc. 3rd International Symposium on Movement and Computing (MOCO'2016), Thessaloniki (Greece), 5-6 July 2016.

- "A hierarchical model-predictive control framework for on-road formation control of autonomous vehicles", Xiangjun Qian, Arnaud de La Fortelle, Fabien Moutarde, proc. of Intelligent Vehicle symposium (IV'2016), Göteborg (Sweden), June 2016.

- "Recognition of Technical Gestures for Human-Robot Collaboration in Factories", Eva Coupeté, Fabien Moutarde, Sotiris Manitsaris and Olivier Hugues, proc. 9th International Conference on Advances in Computer-Human Interactions (ACHI'2016), Venice (Italy), 24-28 April 2016.

- "Hand Gesture Monitoring for Driver-Vehicle Interaction", Yannick Jacob, BMVA symposium on 'Computer Vision for Automotive Applications', London (UK), 13th April 2016.

- "Analysis of Large-scale Traffic dynamics in an Urban Transportation Network using Non-negative Tensor Factorization", Yufei Han and Fabien Moutarde, Int. Journal on Intelligent Transport Systems (IJ-ITS), Vol. 14, Issue 1, pp. 36-49, January 2016.

- "Gesture recognition using a depth camera for human robot collaboration on assembly line", Eva Coupeté, Fabien Moutarde and Sotiris Manitsaris, Procedia Manufacturing, Volume 3, Pages 518-525, 2015.

- "Decentralized model predictive control for smooth coordination of automated vehicles at intersection", Xiangjun Qian, Jean Gregoire, Arnaud de La Fortelle, Fabien Moutarde, proc. 14th European Control Conference (ECC'2015), Linz (Austria), 15-17 July 2015.

- "Music gestural skills development engaging teachers, learners and expert performers", Christina Volioti, Edgar Hemery, Sotiris Manitsaris, Vicky Tsekouropoulou, Erdal Vilmaz, Fabien Moutarde and Athanasios Manitsaris, Procedia Manufacturing, Volume 3, Pages 1543-1550, 2015.

- "Towards the design of a natural user interface for performing and learning musical gestures", Edgar Hemery, Sotiris Manitsaris, Fabien Moutarde, Christina Volioti and Athanasios Manitsaris, Procedia Manufacturing, Volume 3, Pages 6329-6336, 2015.

- "Hand gesture recognition for driver vehicle interaction", Yannick Jacob, Sotiris Manitsaris, Fabien Moutarde, Gautam Lele and Laetitia Pradere, proc. IEEE Computer Society Workshop on Observing and understanding hands in action (Hands 2015) of 28th IEEE conf. on Computer Vision and Pattern Recognition (CVPR'2015), Boston (USA), 12th June 2015.

- "Capture, modeling and recognition of expert technical gestures in wheel-throwing art", Sotiris Manitsaris, Alina Glushkova, Frédéric Bevilacqua, and Fabien Moutarde, Journal on Computing and Cultural Heritage (JOCCH), Volume 7, Issue 2, July 2014.

- "Priority-based coordination of autonomous and legacy vehicles at intersection", Xiangjun Qian, Jean Grégoire, Fabien Moutarde and Arnaud de La Fortelle, proc. 17th Int. IEEE Conference on Intelligent Transportation Systems (ITSC'2014), Qingdao (China), 8-11 oct. 2014.

- "Network of automated vehicles: the autonet2030 vision", Arnaud de La Fortelle, Xiangjun Qian, Sébastien Diemer, Fabien Moutarde, and Silvère Bonnabel,  proc. 21st  ITS World Congress, Detroit (USA), 7-11 sept. 2014.

- "Real-time recognition of human gestures for collaborative robots on assembly-line", Eva Coupeté, Sotiris Manitsaris and Fabien Moutarde, proc. 3rd Int. Digital Human Modeling symposium (DHM'2014), Tokyo (Japan), 20-22 may 2014.

- "Humanoid robot navigation: getting localization information from vision", Emilie Wirbel, Silvère Bonnabel, Arnaud de La Fortelle and Fabien Moutarde, Journal of Intelligent Systems, Vol. 23, issue 2, pages 113–132, June 2014.

- "Statistical Traffic State Analysis in Large-scale Transportation Networks Using Locality-Preserving Non-negative Matrix Factorization", Yufei Han and Fabien Moutarde, IET Intelligent Transport Systems journal, Vol. 7, issue 3, pages 283-295, Sept. 2013.

- "Towards a Hand Skeletal Model for Depth Images Applied to Capture Music-like Finger Gestures", Arnaud Dapogny, Raoul de Charette, Sotiris Manitsaris, Fabien Moutarde and Alina Glushkova, proc. 10th Int. Symposium on Computer Music Multidisciplinary Research (CMMR'2013), Marseille (France), 15-18 octobre 2013.

- "Recognition of Supplementary Signs for Correct Interpretation of Traffic Signs", Anne-Sophie Puthon, Fabien Moutarde, Fawzi Nashashibi, proc. of 2013 IEEE Symposium on Intelligent Vehicles (IV'2013), Gold Coast (Australia), 23-26 June 2013.

- "Fast 3D keypoints detector and descriptor for view-based 3D objects recognition", Ayet Shaiek and Fabien Moutarde, proc. International Workshop on Depth Image Analysis (WDIA'2012) of 21st International Conference on Pattern Recognition (ICPR'2012), Tsukuba (Japan), 11 nov. 2012.

- "Analysis of Large-scale Traffic Dynamics using Non-negative Tensor Factorization", Yufei Han and Fabien Moutarde, proc. of 19th World Congress on Intelligent Transport Systems (ITSwc'2012), Vienne (Austria), 22-26 oct. 2012.

- "Subsign detection with region-growing from contrasted seeds", Anne-Sophie Puthon, Fabien Moutarde and Fawzi Nashashibi, proc. of 15th IEEE Intelligent Transportation Systems Conference (ITSC'2012), Anchorage (USA), 16-19 sept. 2012.

- "3D Keypoints Detection for Objects Recognition", Ayet Shaiek and Fabien Moutarde, proc. of 16th International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'2012), Las Vegas (USA), 16-19 juillet 2012.

- "Détecteurs de points d'intérêt 3D basés sur la courbure", Ayet Shaiek et Fabien Moutarde, 15ème colloque 'COmpression et REprésentation des Signaux Audiovisuels' (CORESA'2012), Lille (France), 24-25 mai 2012.

- "Large scale estimation of arterial traffic and structural analysis of traffic patterns using probe vehicles", Aude Hofleitner, Ryan Herring, Alexandre Bayen, Yufei Han, Fabien Moutarde and Arnaud de la Fortelle, proc. of Transportation Research Board 91st Annual Meeting (TRB'2012), Washington DC (USA), 22-26 January 2012.

- "A new traffic-mining approach for unveiling typical global evolutions of large-scale road networks", Fabien Moutarde and Yufei Han, proc. of 18th World Congress on Intelligent Transport Systems (ITSwc'2011), Orlando (USA), 16-20 oct 2011.

- "Analysis of Network-level Traffic States using Locality Preservative Non-negative Matrix Factorization", Yufei Han and Fabien Moutarde, proc. of 14th IEEE Intelligent Transport Systems Conference (ITSC'2011), Washington DC (USA), 5-7 oct 2011.

- "Clustering and modeling of Network-level Traffic States based on Locality Preservative Non-negative Matrix Factorization", Yufei Han and Fabien Moutarde, proc. of 8th Intelligent Transport Systems (ITS) European Congress, Lyon (France), 6-9 juin 2011.

- "Propagation of information on undirected dependency graphs for road traffic inference", Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes, Victorin Martin, and Fabien Moutarde, proc. of 'Chaos, Complexity and Transport' (CCT'11), held in Marseille (France), 23-27 mai 2011.

- "3D keypoint detectors and descriptors for 3D objects recognition with TOF camera", Ayet Shaiek and Fabien Moutarde, IS&T/SPIE Electronic Imaging conference on 3D Image Processing (3DIP) and applications, San Francisco, USA, 26-27 Jan 2011.

- "Joint interpretation of on-board vision and static GPS cartography for determination of correct speed limit", Alexandre Bargeton, Fabien Moutarde, Fawzi Nashashibi and Anne-Sophie Puthon, 17th ITS world congress (ITSwc'2010), Busan, Korea, 25-29 October 2010.

- "Spatial and Temporal Analysis of Traffic States on Large Scale Networks", Cyril Furtlehner, Yufei Han, Jean-Marc Lasgouttes, Victorin Martin, Fabrice Marchal and Fabien Moutarde, 13th International IEEE Conference on Intelligent Transportation Systems (ITSC'2010), Madeira Island, Portugal, 19-22 September 2010.

- "3D Object Recognition and Facial Identification Using Time-averaged Single-views from Time-of-flight 3D Depth-Camera", Hui Ding, Fabien Moutarde, and Ayet Shaiek, 3rd Eurographics Workshop on "3D Object Retrieval" (3DOR2010), Norrköping, Sweden, May 2010.

- "adaBoost with 'keypoint presence features' for real-time vehicle visual detection", Taoufik Bdiri, Fabien Moutarde, Nicolas Bourdis and Bruno Steux, proc. of 16th World Congress on Intelligent Transport Systems (ITSwc'2009), Stockholm, Sweden, september 2009.

- "Keypoints-based background model and foreground pedestrians extraction for future smart cameras", Omar Hamdoun and Fabien Moutarde, proceedings of 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC 2009), Como, Italy, August 30 - September 3, 2009.

- "Visual object categorization with new keypoint-based adaBoost features", Taoufik Bdiri, Fabien Moutarde, and Bruno Steux, proc. of IEEE Symposium on Intelligent Vehicles (IV'2009), held in XiAn, China, June 2009.

- "Towards a reliable speed-limit assistant combining Traffic Sign Recognition with GPS information", Alexandre Bargeton, Fabien Moutarde, Fawzi Nashashibi, Benazouz Bradai & Lowik Chanussot, British Machine Vision Association (BMVA) technical meeting on "Vision for Automotive Applications" held in London, UK, 20th May 2009.

- "Analyse de séquences vidéo : le projet ANR KIVAOU", Bouchra Abboud, Pierre Bernas, Serge Beucher, Fabien Moutarde, Dijana Petrovska, and Samuel Vinson, Workshop Interdisciplinaire sur la Sécurité Globale (WISG'2009), Troyes, France, 27-28 janvier 2009.

- "A robot behavior-learning experiment using Particle Swarm Optimization for training a neural-based Animat", Fabien Moutarde, proceedings of "10th International Conference on Control, Automation, Robotics and Vision (ICARCV 2008), Hanoï, Vietnam, December 17-20, 2008.

- "Detection and Recognition of End-of-speed-limit and Supplementary Signs For Improved European Speed Limit Support", Omar Hamdoun, Alexandre Bargeton, Fabien Moutarde, Benazouz Bradai and Lowik Chanussot, proceedings of 15th World Congress on Intelligent Transport Systems (ITS), New York City, USA, November 16-20, 2008.

- "Interest points harvesting in video sequences for efficient person identification", Omar Hamdoun, Fabien Moutarde, Bogdan Stanciulescu and Bruno Steux, proceedings of '8th international workshop on Visual Surveillance (VS2008)' of "10th European Conference on Computer Vision (ECCV'2008)", Marseille, France, October 17th, 2008.

- "Traffic Sign Recognition and fusion with navigation for reliable determination of current speed-limit", A. Bargeton, F. Moutarde, F. Nashashibi, B. Bradai and L. Chanussot, SIA congress on "Vehicle and Infrastructure Safety Improvement in adverse cONditions and night driving" (V.I.S.I.O.N.'2008), held in Satory (France), 7-8 oct 2008.

- "Real-time visual detection of vehicles and pedestrians with new efficient adaBoost features" , F. Moutarde, B. Stanciulescu, and A. Breheret, proceedings of 'Workshop on Planning, Perception and Navigation for Intelligent Vehicles (PPNIV)' of "2008 International Conference on Intelligent RObots and Systems (IROS'2008)", Nice, France, September 26th, 2008.

- "Person Re-identification in Multi-camera System by Signature based on Interest Point Descriptors Collected on Short Video Sequences" Omar Hamdoun, Fabien Moutarde, Bogdan Stanciulescu and Bruno Steux, proceedings of ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-08), Stanford University, California, USA, September 7-11, 2008.

- "Improving pan-European speed-limit signs recognition with a new 'global number segmentation' before digit recognition", Alexandre Bargeton, Fabien Moutarde, Fawzi Nashashibi and Benazouz Bradai, proceedings of IEEE Intelligent Vehicles Symposium, Eindhoven, Netherlands, June 4-6, 2008.

- "Vidéosurveillance intelligente : ré-identification de personnes par signature utilisant des descripteurs de points d'intérêt collectés sur des séquences" Omar Hamdoun, Fabien Moutarde, Bogdan Stanciulescu and Bruno Steux, proceedings of Workshop on "Surveillance, Sûreté, Sécurité des Grands Systèmes" (3SGS'08), Troyes, 4-5 juin 2008.

- "Modular Traffic Sign Recognition applied to on-vehicle real-time visual detection of American and European speed limit signs", Fabien Moutarde, Alexandre Bargeton, Anne Herbin and Lowik Chanussot, proceedings of 14th World congress on Intelligent Transportation Systems (ITS), Beijing, China, October 9-13, 2007.

- "Introducing New AdaBoost Features for Real-Time Vehicle Detection" , B. Stanciulescu, A. Breheret and F. Moutarde, proceedings of COGIS'07 conference on COGnitive systems with Interactive Sensors, held in Stanford University, California, USA, November 26-27, 2007.

- "Robust on-vehicle real-time visual detection of American and European speed limit signs, with a modular Traffic Signs Recognition system", Fabien Moutarde, Alexandre Bargeton, Anne Herbin and Lowik Chanussot, proceedings of IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, June 13-15, 2007.

- "Combining adaBoost with a Hill-Climbing evolutionary feature search for efficient training of performant visual object detectors", Y. Abramson, F. Moutarde, B. Steux and B. Stanciulescu, proceedings of FLINS2006 on Applied Artificial Intelligence, Genova, Italy, August 29-31, 2006 (pages 737-744).

- "Apprentissage de détecteurs visuels d'objets par dopage utilisant un algorithme hybride évolution-escalade", Y. Abramson, F. Moutarde, B. Steux and B. Stanciulescu, proceedings of 8ème conférence francophone sur l'apprentissage automatique (CAp'2006), Trégastel, France, 22-24 mai 2006.

- "U*F clustering: a new performant "cluster-mining" method based on segmentation of Self-Organizing Maps", F. Moutarde & A. Ultsch, proceedings of WSOM'05 Paris, September 5-8, 2005 (pages 25-32).

- "Fast semi-automatic segmentation algorithm for Self-Organizing Maps", D. Opolon & F. Moutarde, proceedings of ESANN'2004 , Bruges, Belgium, April 28-30, 2004 (pages 507-512). [idem au format postscript]

- "Automatic recognition of numerical modulation: comparison of various neural networks and other classifiers", C. Louis, P. Séhier & F. Moutarde, proceedings of ICANN 95, Paris, France, October 5-10, 1995 (pages 161-170).

- "Un algorithme de dimensionnement pour atteindre un réseau d'architecture minimal", B. Gittler, C. Louis & F. Moutarde, proceedings of "Neural Networks and their applications", Marseille, France, 15-16 décembre 1994.

- "Etude de nouveaux algorithmes de construction de réseaux neuronaux et application à la reconnaissance de modulations numériques", C. Louis & F. Moutarde, étude DRET numéro 89.301.01.024, rapport final , Alcatel Alsthom Recherche, DIA/RT/93/051, octobre 1993.

- "Potentialités d'applications des techniques neuronales en diagnostic et contrôle de procédés industriels", F. Moutarde, A. Benveniste & Q. Zhang, rapport final de l'étude MRT numéro 90S0866, décembre 1992.

- "Réseaux de neurones pour l'identification de procédés industriels", F. Moutarde, P. Delesalle & M. Menahem, proceedings of Neuro-Nimes 92, Nimes, France, 2-6 novembre 1992 (pages 443-454).

- "DISPOSITIF DE DETECTION DE GESTUELLES DE DOIGT(S) ET DE MAIN D'UN CONDUCTEUR DE VEHICULE POUR CONTROLER DES FONCTIONS", Laetitia Pradere, Franck Guillemard, Gautam Lele, Fabien Moutarde, Yannick Jacob and Sotiris Manitsaris, brevet FR3080928 déposé par PSA et ARMINES le 04/05/2018.

- "IMPROVED LOCALIZATION OF A MOBILE DEVICE BASED ON IMAGE AND RADIO WORDS", Mathieu Nowakowski, Cyril Joly, Scarlett Fres, Nicolas Garcia and Fabien Moutarde, brevet WO/2019/057954 et EP239838529, déposé par SoftBank-Robotics_Europe et ARMINES le 22/09/2017.

- "Method of circle detection in images for round traffic sign identification and vehicle driving assistance device", Alexandre Bargeton, Fabien Moutarde, Fawzi Nashashibi and Benazouz Bradai, Brevet WO2012076036 et PCT/EP2010/007569 déposé par VALEO le 11/12/2010.

- "Procédé de détection d'un objet cible" / "Vertical target object i.e. rectangular shaped American signaling panel, detecting method for motor vehicle, involves regrouping detected segments into parallelograms, and detecting target object from parallelograms, using control unit", Herbin Anne, Chanussot Lowik et Moutarde Fabien, Brevet FR2917869 déposé par VALEO, é le 25/06/2007.

• Avant de rejoindre MINES ParisTech, j'avais déjà travaillé plusieurs années sur les réseaux de neurones, principalement en tant qu'Ingénieur de Recherche à Alcatel Alsthom Recherche de 1991 à 1996. J'ai étudié les principaux types de réseaux neuronaux, mais j'ai surtout travaillé sur les réseaux à couches. Je me suis en particulier intéressé aux aspects suivants :
  • Réseaux récurrents et algorithmes d'apprentissages spécifiques.
  • Applications en automatique : identification, modélisation de systèmes dynamiques, commande.
  • Simplification de réseau par élimination de neurones redondants ("pruning").
  • Classification : approche hiérarchique (regroupement de classes en méta-classes et classification globale par combinaison des classifieurs spécialisés).
  • Applications en classification de signaux.


• J'ai commencé depuis 2006 des travaux de recherche, en lien avec les activités et contrats du Centre de Robotique (CAOR) sur l'application des techniques d'apprentissage en vision, et plus particulièrement pour la détection visuelle temps-réel de catégories d'objets dans des flux vidéos, ainsi que la détection et reconnaissance de panneaux routiers, et aussi pour la ré-identification de personne dans les systèmes de surveillance multi-caméra, et enfin pour l'identification d'objets 3D dans des images de profondeur, et maintenant pour la reconnaissance de gestes.
• J'ai étudié aussi l'apprentissage de comportement de robot à l'aide de meta-heuristiques d'optimisation telles que les Algorithmes Génétiques et l'Optimisation par Essaim Particulaire.
• J'avais aussi effectué il y a quelques années des travaux de recherche sur l'utilisation des cartes auto-organisatrices de Kohonen (Self-Organizing Maps, SOM) pour l'aide à la découverte automatique de catégories dans le cadre des applications de data mining. Une collaboration avec Alfred Ultsch du "DataBionics Research Group" de l'Université de Marburg a eu lieu sur ce sujet.
  
• Vers 2011-2013, j'ai mené des travaux en datamining appliqué aux données de trafic routier, dans le cadre d'un projet collaboratif avec l'INRIA sur l'analyse, reconstruction et prédiction du trafic sur de gros réseaux urbains. Ce travail s'est fait aussi en partie en collaboration avec l'équipe Mobile Millenium à l'Université de Berkeley.


• J'ai soutenu en août 2013 mon Habilitation à diriger des Recherches (HdR) en spécialité "Sciences pour l'Ingénieur" à l'Université Pierre et Marie Curie (Paris_6), intitulée "Apprentissage Statistique et Fouille de Données pour l'Analyse temps-réel d'Images et les Systèmes de Transport Intelligents". 


• Depuis 2014, je me suis tourné d'une part vers lareconnaissance de gestes et actions (notamment dans le cadre d'une Chaire de mécénat de PSA sur la Robotique Collaborative), et d'autre part vers l'ego-localisation visuelle (tant pour les robots mobiles de service de SoftBank-Robotics_Europe, que pour les voitures intelligentes/autnomes).
• Enfin, depuis 2018 je mène des Recherches sur le Deep Reinforcement Learning appliqué d'une part à la conduite automatisée par asservissement visuel (en collaboration avec Valeo), et d'autre part à l'enseignement de tâches par démonstration pour les robots manipulateur collaboratifs.

Par ailleurs,
• Je suis relecteur pour diverses conférences et revues particulièrement dans le domaine des réseaux neuronaux (IEEE Transactions on Neural Networks, Pattern Recognition, NIPS, ICANN, ESANN).
• j'ai co-organisé, avec Frédéric Jurie, une journée "Détection et Reconnaissance d'’Objets dans des imags" le 10 juillet 2007 dans le cadre du GdR ISIS.
• j'ai été membre du bureau du club CRIN "Réseaux de neurones".
• j'ai fait aussi partie du comité de programme de la conférence Neurap97.
• j'assure depuis plusieurs années un cours d'introduction aux réseaux de neurones (et aux algorithmes évolutionnistes) dans le cadre des options Robotique, Automatique et Informatique de l'Ecole des Mines de Paris.
• j'ai créé en 2007 un Enseignement Spécialisé (ES) d'Introduction aux Techniques d'Apprentissage Artificiel en 2ème année de l'Ecole des Mines de Paris, dont je suis responsable.
  Je coordonne cet ES et en assure une bonne partie des cours     [ Copies des transparents et énoncés de TPs ici]

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