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2020 – today
- 2025
[j20]Adrien Lafage
, Gianni Franchi, Mathieu Barbier, David Filliat:
Robust trajectory forecasting in autonomous systems using mixtures of Student's T-distributions with T-DistNet. Pattern Recognit. 165: 111524 (2025)- [c68]Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat:
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. WACV 2025: 1682-1691 - 2024
- [c67]David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse:
On Double Descent in Reinforcement Learning with LSTD and Random Features. ICLR 2024 - [c66]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: 15728-15734 - [c65]Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, David Filliat:
Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic. TIME 2024: 5:1-5:19 - [c64]Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat:
InfraParis: A multi-modal and multi-task autonomous driving dataset. WACV 2024: 2961-2971 - [i38]Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat:
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. CoRR abs/2403.17678 (2024) - [i37]Rémi Marsal, Alexandre Chapoutot, Philippe Xu, David Filliat:
Foundation Models Meet Low-Cost Sensors: Test-Time Adaptation for Rescaling Disparity for Zero-Shot Metric Depth Estimation. CoRR abs/2412.14103 (2024) - 2023
- [j19]David Brellmann, David Filliat, Goran Frehse:
Fourier Features in Reinforcement Learning with Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c63]Tom Dupuis, Jaonary Rabarisoa, Quoc-Cuong Pham, David Filliat:
VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoLLAs 2023: 658-682 - [c62]Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, David Filliat:
Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization. IROS 2023: 11321-11327 - [c61]Marwane Hariat, Antoine Manzanera, David Filliat:
Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. WACV 2023: 1267-1276 - [i36]Tom Dupuis, Jaonary Rabarisoa, Quoc Cuong Pham, David Filliat:
VIBR: Learning View-Invariant Value Functions for Robust Visual Control. CoRR abs/2306.08537 (2023) - [i35]Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat:
InfraParis: A multi-modal and multi-task autonomous driving dataset. CoRR abs/2309.15751 (2023) - [i34]David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse:
On Double Descent in Reinforcement Learning with LSTD and Random Features. CoRR abs/2310.05518 (2023) - 2022
- [j18]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. Inf. Fusion 79: 58-83 (2022) - [c60]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Ángel 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: 398 - [c59]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant Deterministic Uncertainty. ECCV (12) 2022: 243-260 - [c58]Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat:
Task and Motion Planning Methods: Applications and Limitations. ICINCO 2022: 476-483 - [i33]Rémi Kazmierczak, Gianni Franchi, Nacim Belkhir, Antoine Manzanera, David Filliat:
A study of deep perceptual metrics for image quality assessment. CoRR abs/2202.08692 (2022) - [i32]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 abs/2203.01437 (2022) - [i31]Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, David Filliat:
Latent Discriminant deterministic Uncertainty. CoRR abs/2207.10130 (2022) - 2021
- [c57]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. AAMAS 2021: 1472-1474 - [c56]Omar Shrit, David Filliat, Michèle Sebag:
Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control. ICARA 2021: 140-146 - [c55]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. IJCNN 2021: 1-7 - [c54]Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham:
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. IV 2021: 129-135 - [c53]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: 144-151 - [i30]Thomas Rojat, Raphaël Puget, David Filliat, Javier Del Ser, Rodolphe Gelin, Natalia Díaz Rodríguez:
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR abs/2104.00950 (2021) - [i29]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 abs/2104.11914 (2021) - [i28]Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham:
Evaluating Robustness over High Level Driving Instruction for Autonomous Driving. CoRR abs/2105.10014 (2021) - [i27]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences. CoRR abs/2107.02069 (2021) - [i26]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Are standard Object Segmentation models sufficient for Learning Affordance Segmentation? CoRR abs/2107.02095 (2021) - [i25]Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez:
Efficient State Representation Learning for Dynamic Robotic Scenarios. CoRR abs/2109.08642 (2021) - 2020
- [j17]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: 52-68 (2020) - [c52]Vyshakh Palli-Thazha, David Filliat, Javier Ibañez-Guzmán:
Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches. VTC Spring 2020: 1-6 - [i24]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
On the Sensory Commutativity of Action Sequences for Embodied Agents. CoRR abs/2002.05630 (2020) - [i23]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 abs/2005.06223 (2020)
2010 – 2019
- 2019
- [j16]Céline Craye, Timothée Lesort, David Filliat, Jean-François Goudou:
Exploring to learn visual saliency: The RL-IAC approach. Robotics Auton. Syst. 112: 244-259 (2019) - [j15]Céline Craye, David Filliat, Jean-François Goudou:
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning. IEEE Trans. Cogn. Dev. Syst. 11(3): 347-362 (2019) - [c51]Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat:
Marginal Replay vs Conditional Replay for Continual Learning. ICANN (2) 2019: 466-480 - [c50]Timothée Lesort, Andrei Stoian, Jean-François Goudou, David Filliat:
Training Discriminative Models to Evaluate Generative Ones. ICANN (3) 2019: 604-619 - [c49]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. IJCNN 2019: 1-8 - [c48]Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat:
Deep unsupervised state representation learning with robotic priors: a robustness analysis. IJCNN 2019: 1-8 - [c47]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. NeurIPS 2019: 4608-4617 - [i22]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 abs/1901.08651 (2019) - [i21]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. CoRR abs/1902.09434 (2019) - [i20]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Symmetry-Based Disentangled Representation Learning requires Interaction with Environments. CoRR abs/1904.00243 (2019) - [i19]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 abs/1906.04452 (2019) - [i18]Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian, Davide Maltoni, David Filliat, Natalia Díaz Rodríguez:
Continual Learning for Robotics. CoRR abs/1907.00182 (2019) - [i17]René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat:
DisCoRL: Continual Reinforcement Learning via Policy Distillation. CoRR abs/1907.05855 (2019) - [i16]Timothée Lesort, Andrei Stoian, David Filliat:
Regularization Shortcomings for Continual Learning. CoRR abs/1912.03049 (2019) - 2018
- [j14]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: 59 (2018) - [j13]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State representation learning for control: An overview. Neural Networks 108: 379-392 (2018) - [j12]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): 1023-1034 (2018) - [c46]Clément Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
Learning Structure-from-Motion from Motion. ECCV Workshops (3) 2018: 363-376 - [c45]José M. Mendes Filho, Eric Lucet, David Filliat:
Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. ICARCV 2018: 1640-1646 - [c44]Panagiotis Papadakis, David Filliat:
Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion. WACV Workshops 2018: 60-68 - [i15]Timothée Lesort, Natalia Díaz Rodríguez, Jean-François Goudou, David Filliat:
State Representation Learning for Control: An Overview. CoRR abs/1802.04181 (2018) - [i14]Céline Craye, Timothée Lesort, David Filliat, Jean-Francois Goudou:
Exploring to learn visual saliency: The RL-IAC approach. CoRR abs/1804.00435 (2018) - [i13]Timothée Lesort, Jean-François Goudou, David Filliat:
Training Discriminative Models to Evaluate Generative Ones. CoRR abs/1806.10840 (2018) - [i12]Hugo Caselles-Dupré, Louis Annabi, Oksana Hagen, Michaël Garcia Ortiz, David Filliat:
Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning. CoRR abs/1809.00510 (2018) - [i11]Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
End-to-end depth from motion with stabilized monocular videos. CoRR abs/1809.04453 (2018) - [i10]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 abs/1809.04467 (2018) - [i9]Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat:
Learning structure-from-motionfrom motion. CoRR abs/1809.04471 (2018) - [i8]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 abs/1809.09369 (2018) - [i7]Hugo Caselles-Dupré, Michaël Garcia Ortiz, David Filliat:
Continual State Representation Learning for Reinforcement Learning using Generative Replay. CoRR abs/1810.03880 (2018) - [i6]Timothée Lesort, Alexander Gepperth, Andrei Stoian, David Filliat:
Marginal Replay vs Conditional Replay for Continual Learning. CoRR abs/1810.12069 (2018) - [i5]Natalia Díaz Rodríguez, Vincenzo Lomonaco, David Filliat, Davide Maltoni:
Don't forget, there is more than forgetting: new metrics for Continual Learning. CoRR abs/1810.13166 (2018) - [i4]Timothée Lesort, Hugo Caselles-Dupré, Michaël Garcia Ortiz, Andrei Stoian, David Filliat:
Generative Models from the perspective of Continual Learning. CoRR abs/1812.09111 (2018) - 2017
- [c43]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 - [c42]Adina M. Panchea, Alexandre Chapoutot, David Filliat:
Extended reliable robust motion planners. CDC 2017: 1112-1117 - [c41]Joris Guerry, Bertrand Le Saux, David Filliat:
"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people. ECMR 2017: 1-6 - [c40]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: 1-6 - [c39]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: 669-678 - [c38]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: 657-663 - [i3]Timothée Lesort, Mathieu Seurin, Xinrui Li, Natalia Díaz Rodríguez, David Filliat:
Unsupervised state representation learning with robotic priors: a robustness benchmark. CoRR abs/1709.05185 (2017) - 2016
- [j11]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): 33-57 (2016) - [c37]Céline Craye, David Filliat, Jean-Francois Goudou:
On the use of intrinsic motivation for visual saliency learning. ICDL-EPIROB 2016: 158-165 - [c36]Adrien Matricon, David Filliat, Pierre-Yves Oudeyer:
An iterative algorithm for forward-parameterized skill discovery. ICDL-EPIROB 2016: 186-192 - [c35]Yuxin Chen, Jean-Baptiste Bordes, David Filliat:
An experimental comparison between NMF and LDA for active cross-situational object-word learning. ICDL-EPIROB 2016: 217-222 - [c34]Céline Craye, David Filliat, Jean-Francois Goudou:
Environment exploration for object-based visual saliency learning. ICRA 2016: 2303-2309 - [c33]Céline Craye, David Filliat, Jean-Francois Goudou:
RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. IROS 2016: 4877-4884 - [c32]Alexandre Armand, David Filliat, Javier Ibañez-Guzmán:
A Bayesian framework for preventive assistance at road intersections. Intelligent Vehicles Symposium 2016: 1128-1134 - 2015
- [j10]Stéphane Bazeille, Emmanuel Battesti, David Filliat:
A Light Visual Mapping and Navigation Framework for Low-Cost Robots. J. Intell. Syst. 24(4): 505-524 (2015) - [j9]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): 1710-1720 (2015) - [c31]Céline Craye, David Filliat, Jean-Francois Goudou:
Exploration strategies for incremental learning of object-based visual saliency. ICDL-EPIROB 2015: 13-18 - [c30]Yuxin Chen, David Filliat:
Cross-situational noun and adjective learning in an interactive scenario. ICDL-EPIROB 2015: 129-134 - [i2]Olivier Sigaud, Clément Masson, David Filliat, Freek Stulp:
Gated networks: an inventory. CoRR abs/1512.03201 (2015) - 2014
- [j8]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): 56-72 (2014) - [c29]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: 140-147 - [c28]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: 178 - [c27]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: 791-805 - [c26]Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth:
Neural network based 2D/3D fusion for robotic object recognition. ESANN 2014 - [c25]Nikolas Hemion, Jean-Christophe Baillie, David Filliat:
Workshop: Pathways of cognitive development. ICDL-EPIROB 2014: 8-9 - [c24]Guillaume Duceux, David Filliat:
Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. IROS 2014: 593-599 - [c23]Alexandre Armand, David Filliat, Javier Ibañez-Guzmán:
Ontology-based context awareness for driving assistance systems. Intelligent Vehicles Symposium 2014: 227-233 - [c22]Alexandre Armand, David Filliat, Javier Ibañez-Guzmán:
A framework for proactive assistance: Summary. SMC 2014: 684-687 - 2013
- [j7]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): 525-541 (2013) - [c21]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: 88-93 - [c20]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: 1-8 - [c19]Alexandre Chapoulie, Patrick Rives, David Filliat:
Appearance-based segmentation of indoors/outdoors sequences of spherical views. IROS 2013: 1946-1951 - [c18]Alexandre Armand, David Filliat, Javier Ibañez-Guzmán:
Modelling stop intersection approaches using Gaussian processes. ITSC 2013: 1650-1655 - [c17]Natalia Lyubova, David Filliat, Serena Ivaldi:
Improving object learning through manipulation and robot self-identification. ROBIO 2013: 1365-1370 - 2012
- [c16]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: 248-254 - [c15]Natalia Lyubova, David Filliat:
Developmental approach for interactive object discovery. IJCNN 2012: 1-7 - [c14]Alexandre Chapoulie, Patrick Rives, David Filliat:
Topological segmentation of indoors/outdoors sequences of spherical views. IROS 2012: 4288-4295 - [c13]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:
RGBD object recognition and visual texture classification for indoor semantic mapping. TePRA 2012: 127-132 - 2011
- [b2]David Filliat:
Navigation, perception et apprentissage pour la robotique. (Navigation, perception and learning for robotics). Pierre and Marie Curie University, Paris, France, 2011 - [c12]Stéphane Bazeille, Emmanuel Battesti, David Filliat:
Qualitative Localization using Vision and Odometry for Path Following in Topo-metric Maps. ECMR 2011: 303-308 - [c11]Alexandre Chapoulie, Patrick Rives, David Filliat:
A spherical representation for efficient visual loop closing. ICCV Workshops 2011: 335-342 - [c10]Stéphane Bazeille, David Filliat:
Incremental topo-metric SLAM using vision and robot odometry. ICRA 2011: 4067-4073 - 2010
- [j6]Stéphane Bazeille, David Filliat:
Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping. RAIRO Oper. Res. 44(4): 365-377 (2010) - [c9]Olivier Mangin, Pierre-Yves Oudeyer, David Filliat:
A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams. EpiRob 2010 - [c8]Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat:
A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency. HRI 2010: 185-186 - [c7]Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat:
Using mediator objects to easily and robustly teach visual objects to a robot. SIGGRAPH Posters 2010: 100:1
2000 – 2009
- 2009
- [c6]Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat:
An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device. Humanoids 2009: 391-398 - [c5]Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat:
Visual topological SLAM and global localization. ICRA 2009: 4300-4305 - 2008
- [j5]Adrien Angeli, David Filliat, Stéphane Doncieux, Jean-Arcady Meyer:
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words. IEEE Trans. Robotics 24(5): 1027-1037 (2008) - [c4]Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat:
Real-time visual loop-closure detection. ICRA 2008: 1842-1847 - [c3]David Filliat:
Interactive learning of visual topological navigation. IROS 2008: 248-254 - [c2]Adrien Angeli, Stéphane Doncieux, Jean-Arcady Meyer, David Filliat:
Incremental vision-based topological SLAM. IROS 2008: 1031-1036 - 2007
- [c1]David Filliat:
A visual bag of words method for interactive qualitative localization and mapping. ICRA 2007: 3921-3926 - 2006
- [i1]Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot:
Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops. CoRR abs/cs/0601004 (2006) - 2005
- [j4]Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot:
Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops. Adapt. Behav. 13(2): 115-130 (2005) - 2003
- [j3]David Filliat, Jean-Arcady Meyer:
Map-based navigation in mobile robots: : I. A review of localization strategies. Cogn. Syst. Res. 4(4): 243-282 (2003) - [j2]Jean-Arcady Meyer, David Filliat:
Map-based navigation in mobile robots: : II. A review of map-learning and path-planning strategies. Cogn. Syst. Res. 4(4): 283-317 (2003) - 2001
- [b1]David Filliat:
Cartographie et estimation globale de la position pour un robot mobile autonome. Pierre and Marie Curie University, Paris, France, 2001
1990 – 1999
- 1999
- [j1]David Filliat, Jérôme Kodjabachian, Jean-Arcady Meyer:
Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot. Connect. Sci. 11(3-4): 225-242 (1999)
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-05-12 22:49 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
