David Filliat

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 79

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Gabriel Quere, Freek Stulp, David Filliat, João Silvério
A probabilistic approach for learning and adapting shared control skills with the human in the loop. ICRA (2024)
David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse
On Double Descent in Reinforcement Learning with LSTD and Random Features. ICLR (2024)
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV (2024)
Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR (2024)
David Brellmann, David Filliat, Goran Frehse
Fourier Features in Reinforcement Learning with Neural Networks. Trans. Mach. Learn. Res. 2023 (2023)
Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, David Filliat
Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization. IROS (2023)
Tom Dupuis, Jaonary Rabarisoa, Quoc Cuong Pham, David Filliat
VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoRR (2023)
Marwane Hariat, Antoine Manzanera, David Filliat
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. WACV (2023)
Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat
VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoLLAs (2023)
Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR (2023)
David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse
On Double Descent in Reinforcement Learning with LSTD and Random Features. CoRR (2023)
Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat
A study of deep perceptual metrics for image quality assessment. CoRR (2022)
Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat
Task and Motion Planning Methods: Applications and Limitations. ICINCO (2022)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79 (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant deterministic Uncertainty. CoRR (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
Latent Discriminant Deterministic Uncertainty. ECCV (12) (2022)
Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Angel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC (2022)
Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. CoRR (2021)
Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez
Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN (2021)
Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR (2021)
Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving. WACV (Workshops) (2021)
Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR (2021)
Omar Shrit, David Filliat, Michèle Sebag
Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control. ICARA (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR (2021)
Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. IV (2021)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR (2020)
Vyshakh Palli-Thazha, David Filliat, Javier Ibañez-Guzmán
Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches. VTC Spring (2020)
Stéphane Doncieux, Nicolas Bredèche, Leni K. Le Goff, Benoît Girard, Alexandre Coninx, Olivier Sigaud, Mehdi Khamassi, Natalia Díaz Rodríguez, David Filliat, Timothy M. Hospedales, A. E. Eiben, Richard J. Duro
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR (2020)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion 58 (2020)
René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR (2019)
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
Continual Learning for Robotics. CoRR (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR (2019)
Timothée Lesort, Andrei Stoian, David Filliat
Regularization Shortcomings for Continual Learning. CoRR (2019)
Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN (2019)
Timothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat
Training Discriminative Models to Evaluate Generative Ones. ICANN (3) (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS (2019)
Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR (2019)
René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR (2019)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR (2019)
Céline Craye, Timothée Lesort, David Filliat, Jean-François Goudou
Exploring to learn visual saliency: The RL-IAC approach. Robotics Auton. Syst. 112 (2019)
Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
Marginal Replay vs Conditional Replay for Continual Learning. ICANN (2) (2019)
Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
Generative Models from the perspective of Continual Learning. IJCNN (2019)
Céline Craye, David Filliat, Jean-François Goudou
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. IEEE Trans. Cogn. Dev. Syst. 11 (3) (2019)
Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
Marginal Replay vs Conditional Replay for Continual Learning. CoRR (2018)
Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics 12 (2018)
Yuxin Chen, Jean-Baptiste Bordes, David Filliat
Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. 10 (4) (2018)
Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR (2018)
Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR (2018)
Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
State Representation Learning for Control: An Overview. CoRR (2018)
Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
Generative Models from the perspective of Continual Learning. CoRR (2018)
Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
Learning structure-from-motionfrom motion. CoRR (2018)
Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
Learning Structure-from-Motion from Motion. ECCV Workshops (3) (2018)
Timothée Lesort, Jean-François Goudou, David Filliat
Training Discriminative Models to Evaluate Generative Ones. CoRR (2018)
Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
State representation learning for control: An overview. Neural Networks 108 (2018)
Céline Craye, Timothée Lesort, David Filliat, Jean-Francois Goudou
Exploring to learn visual saliency: The RL-IAC approach. CoRR (2018)
Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. CoRR (2018)
Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR (2018)
Panagiotis Papadakis, David Filliat
Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion. WACV Workshops (2018)
José M. Mendes Filho, Eric Lucet, David Filliat
Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. ICARCV (2018)
Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR (2018)
Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
End-to-end depth from motion with stabilized monocular videos. CoRR (2018)
Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR (2017)
Joris Guerry, Bertrand Le Saux, David Filliat
"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. ECMR (2017)
Adina M. Panchea, Alexandre Chapoutot, David Filliat
Extended reliable robust motion planners. CDC (2017)
José M. Mendes Filho, Eric Lucet, David Filliat
Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems. ICRA (2017)
Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network. ECMR (2017)
Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, David Filliat
3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. 3DOR@Eurographics (2017)
Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat
SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. ICCV Workshops (2017)
Céline Craye, David Filliat, Jean-Francois Goudou
On the use of intrinsic motivation for visual saliency learning. ICDL-EPIROB (2016)
Natalia Lyubova, Serena Ivaldi, David Filliat
From passive to interactive object learning and recognition through self-identification on a humanoid robot. Auton. Robots 40 (1) (2016)
Yuxin Chen, Jean-Baptiste Bordes, David Filliat
An experimental comparison between NMF and LDA for active cross-situational object-word learning. ICDL-EPIROB (2016)
Céline Craye, David Filliat, Jean-Francois Goudou
RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. IROS (2016)
Adrien Matricon, David Filliat, Pierre-Yves Oudeyer
An iterative algorithm for forward-parameterized skill discovery. ICDL-EPIROB (2016)
Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
A Bayesian framework for preventive assistance at road intersections. Intelligent Vehicles Symposium (2016)
Céline Craye, David Filliat, Jean-Francois Goudou
Environment exploration for object-based visual saliency learning. ICRA (2016)
Yuxin Chen, David Filliat
Cross-situational noun and adjective learning in an interactive scenario. ICDL-EPIROB (2015)
Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp
Gated networks: an inventory. CoRR (2015)
Céline Craye, David Filliat, Jean-Francois Goudou
Exploration strategies for incremental learning of object-based visual saliency. ICDL-EPIROB (2015)
Stéphane Bazeille, Emmanuel Battesti, David Filliat
A Light Visual Mapping and Navigation Framework for Low-Cost Robots. J. Intell. Syst. 24 (4) (2015)
Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, David Filliat, Pierre-Yves Oudeyer, Olivier Sigaud
Object Learning Through Active Exploration. IEEE Trans. Auton. Ment. Dev. 6 (1) (2014)
Amit Kumar Pandey, Rodolphe Gelin, Rachid Alami, Renaud Viry, Axel Buendia, Roland Meertens, Mohamed Chetouani, Laurence Devillers, Marie Tahon, David Filliat, Yves Grenier, Mounira Maazaoui, Abderrahmane Kheddar, Frédéric Lerasle, Alhayat Ali Mekonnen
Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence. AIC (2014)
Guillaume Duceux, David Filliat
Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. IROS (2014)
Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth
Neural network based 2D/3D fusion for robotic object recognition. ESANN (2014)
Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
Ontology-based context awareness for driving assistance systems. Intelligent Vehicles Symposium (2014)
Louis-Charles Caron, David Filliat, Alexander Gepperth
Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. ECCV Workshops (3) (2014)
Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman
Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking. BioCAS (2014)
Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
A framework for proactive assistance: Summary. SMC (2014)
Nikolas Hemion, Jean-Christophe Baillie, David Filliat
Workshop: Pathways of cognitive development. ICDL-EPIROB (2014)
Natalia Lyubova, David Filliat, Serena Ivaldi
Improving object learning through manipulation and robot self-identification. ROBIO (2013)
Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gérardeaux-Viret, David Filliat, Vincent Padois, Olivier Sigaud, Pierre-Yves Oudeyer
Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. ICDL-EPIROB (2013)
Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
Modelling stop intersection approaches using Gaussian processes. ITSC (2013)
Mathieu Dubois, Paola K. Rozo, Alexander Gepperth, Fabio A. González, David Filliat
A comparison of geometric and energy-based point cloud semantic segmentation methods. ECMR (2013)
Alexandre Chapoulie, Patrick Rives, David Filliat
Appearance-based segmentation of indoors/outdoors sequences of spherical views. IROS (2013)
Pierre Rouanet, Pierre-Yves Oudeyer, Fabien Danieau, David Filliat
The Impact of Human-Robot Interfaces on the Learning of Visual Objects. IEEE Trans. Robotics 29 (2) (2013)
Serena Ivaldi, Natalia Lyubova, Damien Gérardeaux-Viret, Alain Droniou, Salvatore Maria Anzalone, Mohamed Chetouani, David Filliat, Olivier Sigaud
Perception and human interaction for developmental learning of objects and affordances. Humanoids (2012)

David Filliat.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

David Filliat