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authIdHal_s : david-filliat
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Exploration Strategies for Incremental Learning of Object-Based Visual Saliency

Céline Craye , David Filliat , Jean-François Goudou
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2015, Providence, United States
Conference papers hal-01170532v1
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An Iterative Algorithm for Forward-Parameterized Skill Discovery

Adrien Matricon , David Filliat , Pierre-Yves Oudeyer
Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France
Conference papers hal-01370820v1
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Ontology-Based Context Awareness for Driving Assistance Systems

Alexandre Armand , David Filliat , Javier Ibañez-Guzman
IEEE Intelligent Vehicles Symposium (IV), Jun 2014, Dearborn, United States. pp.1-6
Conference papers hal-01012078v1
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An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device

Pierre Rouanet , Pierre-Yves Oudeyer , David Filliat
The 9th IEEE-RAS International Conference on Humanoid Robot, Dec 2009, Paris, France
Conference papers inria-00438564v1
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Developmental Learning for Object Perception

Natalia Lyubova , David Filliat
CogSys2012 Workshop on Deep Hierarchies in Vision, Feb 2012, Vienne, Austria
Conference papers hal-00755300v1
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A visual bag of words method for interactive qualitative localization and mapping

David Filliat
International Conference on Robotics and Automation, 2007, Italy. pp.3921 - 3926, ⟨10.1109/ROBOT.2007.364080⟩
Conference papers hal-00640996v1
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Deep unsupervised state representation learning with robotic priors: a robustness analysis

Timothée Lesort , Mathieu Seurin , Xinrui Li , Natalia Díaz-Rodríguez , David Filliat et al.
IJCNN 2019 - International Joint Conference on Neural Networks, Jul 2019, Budapest, Hungary. pp.1-8, ⟨10.1109/IJCNN.2019.8852042⟩
Conference papers hal-02381375v1

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer

René Traoré , Hugo Caselles-Dupré , Timothée Lesort , Te Sun , Natalia Díaz-Rodríguez et al.
ICML Workshop on “Multi-Task and Lifelong Reinforcement Learning”, Jun 2019, Long Beach, United States
Conference papers hal-02285839v1
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Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving

Florence Carton , David Filliat , Jaonary Rabarisoa , Quoc Cuong Pham
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, Jan 2021, Hawaii (on line), United States
Conference papers hal-03110285v1
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Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning

Hugo Caselles-Dupré , Louis Annabi , Oksana Hagen , Michael Garcia-Ortiz , David Filliat et al.
Workshop on Continual Unsupervised Sensorimotor Learning, ICDL-EpiRob 2018, Sep 2018, Tokyo, Japan
Conference papers hal-01951945v1
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A Light Visual Mapping and Navigation Framework for Low-Cost Robots

Stéphane Bazeille , Emmanuel Battesti , David Filliat
Journal of Intelligent Systems, 2015, pp.27. ⟨10.1515/jisys-2014-0116⟩
Journal articles hal-01122633v1

On the Sensory Commutativity of Action Sequences for Embodied Agents

Hugo Caselles-Dupré , Michael Garcia Ortiz , David Filliat
Workshop on Learning in Artificial Open Worlds at ICML20, Jul 2020, Online, France
Conference papers hal-03123920v1
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Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence

Amit Kumar Pandey , Rodolphe Gelin , Rachid Alami , Renaud Viry , Axel Buendia et al.
AIC: Artificial Intelligence and Cognition, Nov 2014, Torino, Italy. pp.140-147
Conference papers hal-01096094v1
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Qualitative localization using vision and odometry for path following in topo-metric maps

Emmanuel Battesti , Stéphane Bazeille , David Filliat
European Conference on Mobile Robotics (ECMR), 2011, Sweden. pp.303-308
Conference papers hal-00652479v1
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Open-Ended Learning: A Conceptual Framework Based on Representational Redescription

Stéphane Doncieux , David Filliat , Natalia Díaz-Rodríguez , Timothy Hospedales , Richard Duro et al.
Frontiers in Neurorobotics, 2018, 12, pp.59. ⟨10.3389/fnbot.2018.00059⟩
Journal articles hal-01889947v1

S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay

Hugo Caselles-Dupré , Michael Garcia-Ortiz , David Filliat
IJCNN 2021 - International Joint Conference on Neural Networks, Jul 2021, Shenzhen / Virtual, China. pp.1-7, ⟨10.1109/IJCNN52387.2021.9533683⟩
Conference papers hal-03377783v1
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EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case

Natalia Díaz-Rodríguez , Alberto Lamas , Jules Sanchez , Gianni Franchi , Ivan Donadello et al.
Information Fusion, 2021, ⟨10.1016/j.inffus.2021.09.022⟩
Journal articles hal-03379551v1
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Modelling Stop Intersection Approaches using Gaussian Processes

Alexandre Armand , David Filliat , Javier Ibanez-Guzman
16th International IEEE Conference on Intelligent Transportation Systems (ITSC), Oct 2013, The Hague, Netherlands. ⟨10.1109/ITSC.2013.6728466⟩
Conference papers hal-00919680v1
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A Comparison of Geometric and Energy-Based Point Cloud Semantic Segmentation Methods

Mathieu Dubois , Paola K. Rozo , Alexander Gepperth , Fabio A. González O. , David Filliat et al.
6th European Conference on Mobile Robotics (ECMR), IEEE, Sep 2013, Barcelona, Spain. pp.88-93, ⟨10.1109/ECMR.2013.6698825⟩
Conference papers hal-00963863v1
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Look At This One " Detection sharing between modality-independent classifiers for robotic discovery of people

Joris Guerry , Bertrand Le Saux , David Filliat
ECMR 2017 - European Conference on Mobile Robotics, Sep 2017, Paris, France. pp.1-6
Conference papers hal-01628762v1
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Learning structure-from-motion from motion

Clément Pinard , Laure Chevalley , Antoine Manzanera , David Filliat
ECCV GMDL Workshop, Sep 2018, Munich, Germany
Conference papers hal-01995833v1
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Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking

Xavier Lagorce , Cédric Meyer , Sio-Hoi Ieng , David Filliat , Ryad Benosman et al.
IEEE Transactions on Neural Networks and Learning Systems, 2014, pp.1-12. ⟨10.1109/TNNLS.2014.2352401⟩
Journal articles hal-01069808v1
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Neural network based 2D/3D fusion for robotic object recognition

Louis-Charles Caron , Yang Song , David Filliat , Alexander Gepperth
European Symposium on artificial neural networks (ESANN), May 2014, Bruges, Belgium. pp.127 - 132
Conference papers hal-01012090v1
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On the Use of Intrinsic Motivation for Visual Saliency Learning

Céline Craye , David Filliat , Jean-François Goudou
Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France
Conference papers hal-01370850v1
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An experimental comparison between NMF and LDA for active cross-situational object-word learning

Yuxin Chen , Jean-Baptiste Bordes , David Filliat
Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2016, Cergy-Pontoise, France
Conference papers hal-01370853v1

Unsupervised state representation learning with robotic priors: a robustness benchmark

Timothée Lesort , Mathieu Seurin , Xinrui Li , Natalia Díaz Rodríguez , David Filliat et al.
2017
Preprints, Working Papers, ... hal-01644423v1
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Appearance-based segmentation of indoors/outdoors sequences of spherical views

Alexandre Chapoulie , Patrick Rives , David Filliat
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'2013, Nov 2013, Tokyo, Japan. pp.1946-1951
Conference papers hal-00845450v1
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DroMOOC: a Massive Open Online Course on Drones and Aerial Multi Robot Systems

Sylvain Bertrand , Julien Marzat , Cristina Stoica Maniu , Maria Makarov , David Filliat et al.
2018 UKACC 12th International Conference on Control (CONTROL), Sep 2018, Sheffield, United Kingdom. ⟨10.1109/control.2018.8516765⟩
Conference papers hal-01907122v1

Marginal Replay vs Conditional Replay for Continual Learning

Timothée Lesort , Alexander Gepperth , Andrei Stoian , David Filliat
ICANN, 2019, Munich, Germany
Conference papers hal-02285835v1
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Navigation, perception et apprentissage pour la robotique

David Filliat
Robotique [cs.RO]. Université Pierre et Marie Curie - Paris VI, 2011
Habilitation à diriger des recherches tel-00649692v1