David Filliat - RankMe

137 papers A* 12A 13B 8C 4Journal 59Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Benchmarking XAI Explanations with Human-Aligned Evaluations. AAAI Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2025	A	`conf`	A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation. IROS Rémi Marsal, Alexandre Chapoutot, Philippe Xu, David Filliat
2025	J	`jnl`	A comparative review of decision-making approaches for realistic event-driven environments. Discret. Event Dyn. Syst. Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, David Filliat
2025	—	`conf`	Communication Strategies for Environment Exploration Using a Frontier-Guided Decentralised MCTS. MRS Mathilde Jeannin, David Filliat, Eric Goubault, Sylvie Putot
2025	—	`conf`	Exploration d'environnements souterrains par déploiement et réorganisation d'une chaîne de drones. JFSMA Mathis Fleuriel, Elena Vanneaux, David Filliat, Olivier Simonin
2025	—	`conf`	Exploring Underground Environments by Deploying and Reconfiguring a Chain of Visually Connected UAVs. ECMR Mathis Fleuriel, Elena Vanneaux, David Filliat, Olivier Simonin
2025	A	`conf`	Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. WACV Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
2025	A*	`conf`	Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks. CVPR Marwane Hariat, Antoine Manzanera, David Filliat
2025	—	`conf`	Improving Domain Generalisable LiDAR Semantic Segmentation In Off-Road Environments with Auxiliary Tasks. ECMR Abhay Dayal Mathur, Alexandre Chapoutot, David Filliat
2025	—	`conf`	NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval. ICINCO (2) Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Shoubin Chen, David Filliat
2025	J	`jnl`	Robust trajectory forecasting in autonomous systems using mixtures of Student's T-distributions with T-DistNet. Pattern Recognit. Adrien Lafage, Gianni Franchi, Mathieu Barbier, David Filliat
2024	A*	`conf`	A probabilistic approach for learning and adapting shared control skills with the human in the loop. ICRA Gabriel Quere, Freek Stulp, David Filliat, João Silvério
2024	J	`jnl`	Foundation Models Meet Low-Cost Sensors: Test-Time Adaptation for Rescaling Disparity for Zero-Shot Metric Depth Estimation. CoRR Rémi Marsal, Alexandre Chapoutot, Philippe Xu, David Filliat
2024	J	`jnl`	Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat
2024	A	`conf`	InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2024	A*	`conf`	On Double Descent in Reinforcement Learning with LSTD and Random Features. ICLR David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse
2024	C	`conf`	Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic. TIME Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, David Filliat
2023	J	`jnl`	Fourier Features in Reinforcement Learning with Neural Networks. Trans. Mach. Learn. Res. David Brellmann, David Filliat, Goran Frehse
2023	J	`jnl`	InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat
2023	A	`conf`	Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization. IROS Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, David Filliat
2023	J	`jnl`	On Double Descent in Reinforcement Learning with LSTD and Random Features. CoRR David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse
2023	A	`conf`	Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. WACV Marwane Hariat, Antoine Manzanera, David Filliat
2023	—	`conf`	VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoLLAs Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat
2023	J	`jnl`	VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoRR Tom Dupuis, Jaonary Rabarisoa, Quoc Cuong Pham, David Filliat
2022	J	`jnl`	A study of deep perceptual metrics for image quality assessment. CoRR Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat
2022	J	`jnl`	EXplainable Neural-Symbolic Learning ( Inf. Fusion Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2022	—	`conf`	Latent Discriminant Deterministic Uncertainty. ECCV (12) Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	Latent Discriminant deterministic Uncertainty. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat
2022	J	`jnl`	MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks. CoRR Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	A	`conf`	MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. BMVC Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel Tena, Rémi Kazmierczak, Séverine Dubuisson, Emanuel Aldea, David Filliat
2022	C	`conf`	Task and Motion Planning Methods: Applications and Limitations. ICINCO Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat
2021	J	`jnl`	Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2021	J	`jnl`	EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera
2021	J	`jnl`	Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez
2021	C	`conf`	Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. IV Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
2021	J	`jnl`	Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. CoRR Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
2021	J	`jnl`	Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez
2021	—	`conf`	Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control. ICARA Omar Shrit, David Filliat, Michèle Sebag
2021	A	`conf`	On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2021	B	`conf`	S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2021	J	`jnl`	SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2021	—	`conf`	Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving. WACV (Workshops) Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham
2020	J	`jnl`	Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges. Inf. Fusion Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
2020	J	`jnl`	DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. CoRR 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
2020	J	`jnl`	On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2020	—	`conf`	Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches. VTC Spring Vyshakh Palli-Thazha, David Filliat, Javier Ibañez-Guzmán
2019	J	`jnl`	BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. IEEE Trans. Cogn. Dev. Syst. Céline Craye, David Filliat, Jean-François Goudou
2019	J	`jnl`	Continual Learning for Robotics. CoRR Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez
2019	J	`jnl`	Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer. CoRR René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics. CoRR Antonin Raffin, Ashley Hill, Kalifou René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
2019	B	`conf`	Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat
2019	J	`jnl`	Exploring to learn visual saliency: The RL-IAC approach. Robotics Auton. Syst. Céline Craye, Timothée Lesort, David Filliat, Jean-François Goudou
2019	B	`conf`	Generative Models from the perspective of Continual Learning. IJCNN Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
2019	—	`conf`	Marginal Replay vs Conditional Replay for Continual Learning. ICANN (2) Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
2019	J	`jnl`	Regularization Shortcomings for Continual Learning. CoRR Timothée Lesort, Andrei Stoian, David Filliat
2019	J	`jnl`	S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2019	A*	`conf`	Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2019	J	`jnl`	Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2019	—	`conf`	Training Discriminative Models to Evaluate Generative Ones. ICANN (3) Timothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat
2018	J	`jnl`	Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation. IEEE Trans. Cogn. Dev. Syst. Yuxin Chen, Jean-Baptiste Bordes, David Filliat
2018	J	`jnl`	Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat
2018	J	`jnl`	Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni
2018	J	`jnl`	End-to-end depth from motion with stabilized monocular videos. CoRR Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
2018	C	`conf`	Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. ICARCV José M. Mendes Filho, Eric Lucet, David Filliat
2018	J	`jnl`	Exploring to learn visual saliency: The RL-IAC approach. CoRR Céline Craye, Timothée Lesort, David Filliat, Jean-Francois Goudou
2018	J	`jnl`	Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat
2018	J	`jnl`	Generative Models from the perspective of Continual Learning. CoRR Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat
2018	—	`conf`	Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion. WACV Workshops Panagiotis Papadakis, David Filliat
2018	—	`conf`	Learning Structure-from-Motion from Motion. ECCV Workshops (3) Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
2018	J	`jnl`	Learning structure-from-motionfrom motion. CoRR Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
2018	J	`jnl`	Marginal Replay vs Conditional Replay for Continual Learning. CoRR Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat
2018	J	`jnl`	Multi range Real-time depth inference from a monocular stabilized footage using a Fully Convolutional Neural Network. CoRR Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
2018	J	`jnl`	Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
2018	J	`jnl`	S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning. CoRR Antonin Raffin, Ashley Hill, René Traoré, Timothée Lesort, Natalia Díaz Rodríguez, David Filliat
2018	J	`jnl`	State Representation Learning for Control: An Overview. CoRR Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
2018	J	`jnl`	State representation learning for control: An overview. Neural Networks Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat
2018	J	`jnl`	Training Discriminative Models to Evaluate Generative Ones. CoRR Timothée Lesort, Jean-François Goudou, David Filliat
2017	—	`conf`	"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. ECMR Joris Guerry, Bertrand Le Saux, David Filliat
2017	—	`conf`	3D Hand Gesture Recognition Using a Depth and Skeletal Dataset. 3DOR@Eurographics Quentin De Smedt, Hazem Wannous, Jean-Philippe Vandeborre, Joris Guerry, Bertrand Le Saux, David Filliat
2017	—	`conf`	Extended reliable robust motion planners. CDC Adina M. Panchea, Alexandre Chapoutot, David Filliat
2017	—	`conf`	Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network. ECMR Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat
2017	A*	`conf`	Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems. ICRA José M. Mendes Filho, Eric Lucet, David Filliat
2017	—	`conf`	SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics. ICCV Workshops Joris Guerry, Alexandre Boulch, Bertrand Le Saux, Julien Moras, Aurélien Plyer, David Filliat
2017	J	`jnl`	Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat
2016	B	`conf`	A Bayesian framework for preventive assistance at road intersections. Intelligent Vehicles Symposium Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
2016	—	`conf`	An experimental comparison between NMF and LDA for active cross-situational object-word learning. ICDL-EPIROB Yuxin Chen, Jean-Baptiste Bordes, David Filliat
2016	—	`conf`	An iterative algorithm for forward-parameterized skill discovery. ICDL-EPIROB Adrien Matricon, David Filliat, Pierre-Yves Oudeyer
2016	A*	`conf`	Environment exploration for object-based visual saliency learning. ICRA Céline Craye, David Filliat, Jean-Francois Goudou
2016	J	`jnl`	From passive to interactive object learning and recognition through self-identification on a humanoid robot. Auton. Robots Natalia Lyubova, Serena Ivaldi, David Filliat
2016	—	`conf`	On the use of intrinsic motivation for visual saliency learning. ICDL-EPIROB Céline Craye, David Filliat, Jean-Francois Goudou
2016	A	`conf`	RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. IROS Céline Craye, David Filliat, Jean-Francois Goudou
2015	J	`jnl`	A Light Visual Mapping and Navigation Framework for Low-Cost Robots. J. Intell. Syst. Stéphane Bazeille, Emmanuel Battesti, David Filliat
2015	J	`jnl`	Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking. IEEE Trans. Neural Networks Learn. Syst. Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman
2015	—	`conf`	Cross-situational noun and adjective learning in an interactive scenario. ICDL-EPIROB Yuxin Chen, David Filliat
2015	—	`conf`	Exploration strategies for incremental learning of object-based visual saliency. ICDL-EPIROB Céline Craye, David Filliat, Jean-Francois Goudou
2015	J	`jnl`	Gated networks: an inventory. CoRR Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp
2014	B	`conf`	A framework for proactive assistance: Summary. SMC Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
2014	—	`conf`	Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking. BioCAS Xavier Lagorce, Cedric Meyer, Sio-Hoi Ieng, David Filliat, Ryad Benosman
2014	—	`conf`	Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. ECCV Workshops (3) Louis-Charles Caron, David Filliat, Alexander Gepperth
2014	B	`conf`	Neural network based 2D/3D fusion for robotic object recognition. ESANN Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth
2014	J	`jnl`	Object Learning Through Active Exploration. IEEE Trans. Auton. Ment. Dev. Serena Ivaldi, Sao Mai Nguyen, Natalia Lyubova, Alain Droniou, Vincent Padois, David Filliat, Pierre-Yves Oudeyer, Olivier Sigaud
2014	B	`conf`	Ontology-based context awareness for driving assistance systems. Intelligent Vehicles Symposium Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
2014	—	`conf`	Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence. AIC 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
2014	A	`conf`	Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. IROS Guillaume Duceux, David Filliat
2014	—	`conf`	Workshop: Pathways of cognitive development. ICDL-EPIROB Nikolas Hemion, Jean-Christophe Baillie, David Filliat
2013	—	`conf`	A comparison of geometric and energy-based point cloud semantic segmentation methods. ECMR Mathieu Dubois, Paola K. Rozo, Alexander Gepperth, Fabio A. González, David Filliat
2013	A	`conf`	Appearance-based segmentation of indoors/outdoors sequences of spherical views. IROS Alexandre Chapoulie, Patrick Rives, David Filliat
2013	—	`conf`	Improving object learning through manipulation and robot self-identification. ROBIO Natalia Lyubova, David Filliat, Serena Ivaldi
2013	—	`conf`	Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot. ICDL-EPIROB Sao Mai Nguyen, Serena Ivaldi, Natalia Lyubova, Alain Droniou, Damien Gérardeaux-Viret, David Filliat, Vincent Padois, Olivier Sigaud, Pierre-Yves Oudeyer
2013	—	`conf`	Modelling stop intersection approaches using Gaussian processes. ITSC Alexandre Armand, David Filliat, Javier Ibañez-Guzmán
2013	J	`jnl`	The Impact of Human-Robot Interfaces on the Learning of Visual Objects. IEEE Trans. Robotics Pierre Rouanet, Pierre-Yves Oudeyer, Fabien Danieau, David Filliat
2012	B	`conf`	Developmental approach for interactive object discovery. IJCNN Natalia Lyubova, David Filliat
2012	—	`conf`	Perception and human interaction for developmental learning of objects and affordances. Humanoids Serena Ivaldi, Natalia Lyubova, Damien Gérardeaux-Viret, Alain Droniou, Salvatore Maria Anzalone, Mohamed Chetouani, David Filliat, Olivier Sigaud
2012	—	`conf`	RGBD object recognition and visual texture classification for indoor semantic mapping. TePRA David Filliat, Emmanuel Battesti, Stéphane Bazeille, Guillaume Duceux, Alexander Gepperth, Lotfi Harrath, Islem Jebari, Rafael Pereira, Adriana Tapus, Cedric Meyer, Sio-Hoi Ieng, Ryad Benosman, Eddy Cizeron, Jean-Charles Mamanna, Benoit Pothier
2012	A	`conf`	Topological segmentation of indoors/outdoors sequences of spherical views. IROS Alexandre Chapoulie, Patrick Rives, David Filliat
2011	—	`conf`	A spherical representation for efficient visual loop closing. ICCV Workshops Alexandre Chapoulie, Patrick Rives, David Filliat
2011	A*	`conf`	Incremental topo-metric SLAM using vision and robot odometry. ICRA Stéphane Bazeille, David Filliat
2011	—	`book`	Navigation, perception et apprentissage pour la robotique. (Navigation, perception and learning for robotics). David Filliat
2011	—	`conf`	Qualitative Localization using Vision and Odometry for Path Following in Topo-metric Maps. ECMR Stéphane Bazeille, Emmanuel Battesti, David Filliat
2010	—	`conf`	A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams. EpiRob Olivier Mangin, Pierre-Yves Oudeyer, David Filliat
2010	A*	`conf`	A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency. HRI Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat
2010	J	`jnl`	Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping. RAIRO Oper. Res. Stéphane Bazeille, David Filliat
2010	—	`conf`	Using mediator objects to easily and robustly teach visual objects to a robot. SIGGRAPH Posters Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat
2009	—	`conf`	An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device. Humanoids Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat
2009	A*	`conf`	Visual topological SLAM and global localization. ICRA Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat
2008	J	`jnl`	Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words. IEEE Trans. Robotics Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer
2008	A	`conf`	Incremental vision-based topological SLAM. IROS Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat
2008	A	`conf`	Interactive learning of visual topological navigation. IROS David Filliat
2008	A*	`conf`	Real-time visual loop-closure detection. ICRA Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat
2007	A*	`conf`	A visual bag of words method for interactive qualitative localization and mapping. ICRA David Filliat
2006	J	`jnl`	Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops CoRR Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot
2005	J	`jnl`	Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops. Adapt. Behav. Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot
2003	J	`jnl`	Map-based navigation in mobile robots: : I. A review of localization strategies. Cogn. Syst. Res. David Filliat, Jean-Arcady Meyer
2003	J	`jnl`	Map-based navigation in mobile robots: : II. A review of map-learning and path-planning strategies. Cogn. Syst. Res. Jean-Arcady Meyer, David Filliat
2001	—	`—`	Cartographie et estimation globale de la position pour un robot mobile autonome. David Filliat
1999	J	`jnl`	Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot. Connect. Sci. David Filliat, Jérôme Kodjabachian, Jean-Arcady Meyer