| 2026 | AAAI | Benchmarking XAI Explanations with Human-Aligned Evaluations. | Rmi Kazmierczak, Steve Azzolin, Elose Berthier, Anna Hedstrm, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi |
| 2025 | CVPR | Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks. | Marwane Hariat, Antoine Manzanera, David Filliat |
| 2025 | ICINCO | NAMOUnc: Navigation Among Movable Obstacles with Decision Making on Uncertainty Interval. | Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Shoubin Chen, David Filliat |
| 2025 | IROS | A Simple yet Effective Test-Time Adaptation for Zero-Shot Monocular Metric Depth Estimation. | Rmi Marsal, Alexandre Chapoutot, Philippe Xu, David Filliat |
| 2025 | WACV | Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting. | Adrien Lafage, Mathieu Barbier, Gianni Franchi, David Filliat |
| 2024 | ICLR | On Double Descent in Reinforcement Learning with LSTD and Random Features. | David Brellmann, Elose Berthier, David Filliat, Goran Frehse |
| 2024 | ICRA | A probabilistic approach for learning and adapting shared control skills with the human in the loop. | Gabriel Quere, Freek Stulp, David Filliat, Joo Silvrio |
| 2024 | WACV | InfraParis: A multi-modal and multi-task autonomous driving dataset. | Gianni Franchi, Marwane Hariat, Xuanlong Yu, Nacim Belkhir, Antoine Manzanera, David Filliat |
| 2024 | TIME | Open the Chests: An Environment for Activity Recognition and Sequential Decision Problems Using Temporal Logic. | Ivelina Stoyanova, Nicolas Museux, Sao Mai Nguyen, David Filliat |
| 2023 | IROS | Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization. | Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, David Filliat |
| 2023 | WACV | Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions. | Marwane Hariat, Antoine Manzanera, David Filliat |
| 2022 | BMVC | MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks. | Gianni Franchi, Xuanlong Yu, Andrei Bursuc, ngel Tena, Rmi Kazmierczak, Sverine Dubuisson, Emanuel Aldea, David Filliat |
| 2022 | ECCV | Latent Discriminant Deterministic Uncertainty. | Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Sverine Dubuisson, David Filliat |
| 2022 | ICINCO | Task and Motion Planning Methods: Applications and Limitations. | Kai Zhang, Eric Lucet, Julien Alexandre Dit Sandretto, Selma Kchir, David Filliat |
| 2021 | IJCNN | S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay. | Hugo Caselles-Dupr, Michal Garcia Ortiz, David Filliat |
| 2021 | WACV | Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving. | Florence Carton, David Filliat, Jaonary Rabarisoa, Quoc Cuong Pham |
| 2020 | VTC | Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches. | Vyshakh Palli-Thazha, David Filliat, Javier Ibaez-Guzmn |
| 2019 | ICANN | Marginal Replay vs Conditional Replay for Continual Learning. | Timothe Lesort, Alexander Gepperth, Andrei Stoian, David Filliat |
| 2019 | ICANN | Training Discriminative Models to Evaluate Generative Ones. | Timothe Lesort, Andrei Stoian, Jean-Franois Goudou, David Filliat |
| 2019 | IJCNN | Generative Models from the perspective of Continual Learning. | Timothe Lesort, Hugo Caselles-Dupr, Michal Garcia Ortiz, Andrei Stoian, David Filliat |
| 2019 | IJCNN | Deep unsupervised state representation learning with robotic priors: a robustness analysis. | Timothe Lesort, Mathieu Seurin, Xinrui Li, Natalia Daz Rodrguez, David Filliat |
| 2018 | ECCV | Learning Structure-from-Motion from Motion. | Clment Pinard, Laure Chevalley, Antoine Manzanera, David Filliat |
| 2018 | ICARCV | Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach. | Jos M. Mendes Filho, Eric Lucet, David Filliat |
| 2018 | WACV | Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion. | Panagiotis Papadakis, David Filliat |
| 2017 | ICRA | Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems. | Jos M. Mendes Filho, Eric Lucet, David Filliat |
| 2016 | ICRA | Environment exploration for object-based visual saliency learning. | Cline Craye, David Filliat, Jean-Francois Goudou |
| 2016 | IROS | RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot. | Cline Craye, David Filliat, Jean-Francois Goudou |
| 2014 | ECCV | Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot. | Louis-Charles Caron, David Filliat, Alexander Gepperth |
| 2014 | ESANN | Neural network based 2D/3D fusion for robotic object recognition. | Louis-Charles Caron, Yang Song, David Filliat, Alexander Gepperth |
| 2014 | IROS | Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder. | Guillaume Duceux, David Filliat |
| 2014 | SMC | A framework for proactive assistance: Summary. | Alexandre Armand, David Filliat, Javier Ibaez-Guzmn |
| 2013 | IROS | Appearance-based segmentation of indoors/outdoors sequences of spherical views. | Alexandre Chapoulie, Patrick Rives, David Filliat |
| 2012 | IJCNN | Developmental approach for interactive object discovery. | Natalia Lyubova, David Filliat |
| 2012 | IROS | Topological segmentation of indoors/outdoors sequences of spherical views. | Alexandre Chapoulie, Patrick Rives, David Filliat |
| 2011 | ICRA | Incremental topo-metric SLAM using vision and robot odometry. | Stphane Bazeille, David Filliat |
| 2010 | HRI | A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency. | Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat |
| 2010 | SIGGRAPH | Using mediator objects to easily and robustly teach visual objects to a robot. | Pierre Rouanet, Pierre-Yves Oudeyer, David Filliat |
| 2009 | ICRA | Visual topological SLAM and global localization. | Adrien Angeli, Stphane Doncieux, Jean-Arcady Meyer, David Filliat |
| 2008 | ICRA | Real-time visual loop-closure detection. | Adrien Angeli, Stphane Doncieux, Jean-Arcady Meyer, David Filliat |
| 2008 | IROS | Incremental vision-based topological SLAM. | Adrien Angeli, Stphane Doncieux, Jean-Arcady Meyer, David Filliat |
| 2008 | IROS | Interactive learning of visual topological navigation. | David Filliat |
| 2007 | ICRA | A visual bag of words method for interactive qualitative localization and mapping. | David Filliat |