David Filliat

Orcid: 0000-0002-5739-1618

According to our database1, David Filliat authored at least 108 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting.
CoRR, 2024

InfraParis: A multi-modal and multi-task autonomous driving dataset.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
On Double Descent in Reinforcement Learning with LSTD and Random Features.
CoRR, 2023

Rebalancing gradient to improve self-supervised co-training of depth, odometry and optical flow predictions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization.
IROS, 2023

VIBR: Learning View-Invariant Value Functions for Robust Visual Control.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022

MUAD: Multiple Uncertainties for Autonomous Driving benchmark for multiple uncertainty types and tasks.
CoRR, 2022

A study of deep perceptual metrics for image quality assessment.
CoRR, 2022

Task and Motion Planning Methods: Applications and Limitations.
Proceedings of the 19th International Conference on Informatics in Control, 2022

Latent Discriminant Deterministic Uncertainty.
Proceedings of the Computer Vision - ECCV 2022, 2022

MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
Efficient State Representation Learning for Dynamic Robotic Scenarios.
CoRR, 2021

Are standard Object Segmentation models sufficient for Learning Affordance Segmentation?
CoRR, 2021

SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences.
CoRR, 2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021

Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey.
CoRR, 2021

Using Semantic Information to Improve Generalization of Reinforcement Learning Policies for Autonomous Driving.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Evaluating Robustness over High Level Driving Instruction for Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay.
Proceedings of the International Joint Conference on Neural Networks, 2021

Iterative Learning for Model Reactive Control: Application to Autonomous Multi-agent Control.
Proceedings of the 7th International Conference on Automation, Robotics and Applications, 2021

On the Sensory Commutativity of Action Sequences for Embodied Agents.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges.
Inf. Fusion, 2020

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics.
CoRR, 2020

Trajectory Prediction of Traffic Agents: Incorporating context into machine learning approaches.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

2019
BioVision: A Biomimetics Platform for Intrinsically Motivated Visual Saliency Learning.
IEEE Trans. Cogn. Dev. Syst., 2019

Exploring to learn visual saliency: The RL-IAC approach.
Robotics Auton. Syst., 2019

Regularization Shortcomings for Continual Learning.
CoRR, 2019

DisCoRL: Continual Reinforcement Learning via Policy Distillation.
CoRR, 2019

Continual Learning for Robotics.
CoRR, 2019

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.
CoRR, 2019

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics.
CoRR, 2019

Symmetry-Based Disentangled Representation Learning requires Interaction with Environments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep unsupervised state representation learning with robotic priors: a robustness analysis.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generative Models from the perspective of Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Training Discriminative Models to Evaluate Generative Ones.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Marginal Replay vs Conditional Replay for Continual Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018
Comparison Studies on Active Cross-Situational Object-Word Learning Using Non-Negative Matrix Factorization and Latent Dirichlet Allocation.
IEEE Trans. Cogn. Dev. Syst., 2018

State representation learning for control: An overview.
Neural Networks, 2018

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.
Frontiers Neurorobotics, 2018

Don't forget, there is more than forgetting: new metrics for Continual Learning.
CoRR, 2018

Continual State Representation Learning for Reinforcement Learning using Generative Replay.
CoRR, 2018

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning.
CoRR, 2018

Learning structure-from-motionfrom motion.
CoRR, 2018

End-to-end depth from motion with stabilized monocular videos.
CoRR, 2018

Flatland: a Lightweight First-Person 2-D Environment for Reinforcement Learning.
CoRR, 2018

Training Discriminative Models to Evaluate Generative Ones.
CoRR, 2018

Generic Object Discrimination for Mobile Assistive Robots Using Projective Light Diffusion.
Proceedings of the 2018 IEEE Winter Applications of Computer Vision Workshops, 2018

Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach.
Proceedings of the 15th International Conference on Control, 2018

Learning Structure-from-Motion from Motion.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Unsupervised state representation learning with robotic priors: a robustness benchmark.
CoRR, 2017

Real-time distributed receding horizon motion planning and control for mobile multi-robot dynamic systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

SnapNet-R: Consistent 3D Multi-view Semantic Labeling for Robotics.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Multi range real-time depth inference from a monocular stabilized footage using a fully convolutional neural network.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

"Look at this one" detection sharing between modality-independent classifiers for robotic discovery of people.
Proceedings of the 2017 European Conference on Mobile Robots, 2017

Extended reliable robust motion planners.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

3D Hand Gesture Recognition Using a Depth and Skeletal Dataset.
Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

2016
From passive to interactive object learning and recognition through self-identification on a humanoid robot.
Auton. Robots, 2016

A Bayesian framework for preventive assistance at road intersections.
Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

RL-IAC: An exploration policy for online saliency learning on an autonomous mobile robot.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Environment exploration for object-based visual saliency learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

An iterative algorithm for forward-parameterized skill discovery.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

On the use of intrinsic motivation for visual saliency learning.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

An experimental comparison between NMF and LDA for active cross-situational object-word learning.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2015
Asynchronous Event-Based Multikernel Algorithm for High-Speed Visual Features Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Light Visual Mapping and Navigation Framework for Low-Cost Robots.
J. Intell. Syst., 2015

Gated networks: an inventory.
CoRR, 2015

Exploration strategies for incremental learning of object-based visual saliency.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Cross-situational noun and adjective learning in an interactive scenario.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

2014
Object Learning Through Active Exploration.
IEEE Trans. Auton. Ment. Dev., 2014

A framework for proactive assistance: Summary.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Ontology-based context awareness for driving assistance systems.
Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

Unsupervised and online non-stationary obstacle discovery and modeling using a laser range finder.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Workshop: Pathways of cognitive development.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Neural network based 2D/3D fusion for robotic object recognition.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Neural Network Fusion of Color, Depth and Location for Object Instance Recognition on a Mobile Robot.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Live demonstration: Neuromorphic event-based multi-kernel algorithm for high speed visual features tracking.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014

Romeo2 Project: Humanoid Robot Assistant and Companion for Everyday Life: I. Situation Assessment for Social Intelligence.
Proceedings of the Second International Workshop on Artificial Intelligence and Cognition (AIC 2014), 2014

2013
The Impact of Human-Robot Interfaces on the Learning of Visual Objects.
IEEE Trans. Robotics, 2013

Improving object learning through manipulation and robot self-identification.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Modelling stop intersection approaches using Gaussian processes.
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

Appearance-based segmentation of indoors/outdoors sequences of spherical views.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robot.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

A comparison of geometric and energy-based point cloud semantic segmentation methods.
Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012
RGBD object recognition and visual texture classification for indoor semantic mapping.
Proceedings of the 2012 IEEE International Conference on Technologies for Practical Robot Applications, 2012

Topological segmentation of indoors/outdoors sequences of spherical views.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Developmental approach for interactive object discovery.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Perception and human interaction for developmental learning of objects and affordances.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

2011
Incremental topo-metric SLAM using vision and robot odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A spherical representation for efficient visual loop closing.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Qualitative Localization using Vision and Odometry for Path Following in Topo-metric Maps.
Proceedings of the 5<sup>th</sup> European Conference on Mobile Robots, 2011

Navigation, perception et apprentissage pour la robotique. (Navigation, perception and learning for robotics).
, 2011

2010
Combining Odometry and Visual Loop-Closure Detection for Consistent Topo-Metrical Mapping.
RAIRO Oper. Res., 2010

Using mediator objects to easily and robustly teach visual objects to a robot.
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2010

A study of three interfaces allowing non-expert users to teach new visual objects to a robot and their impact on learning efficiency.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

A Bag-of-features Framework for Incremental Learning of Speech Invariants in Unsegmented Audio Streams.
Proceedings of the Tenth International Conference on Epigenetic Robotics (EpiRob 2010), 2010

2009
Visual topological SLAM and global localization.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

An integrated system for teaching new visually grounded words to a robot for non-expert users using a mobile device.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

2008
Fast and Incremental Method for Loop-Closure Detection Using Bags of Visual Words.
IEEE Trans. Robotics, 2008

Interactive learning of visual topological navigation.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Incremental vision-based topological SLAM.
Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Real-time visual loop-closure detection.
Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007
A visual bag of words method for interactive qualitative localization and mapping.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2005
Integration of Navigation and Action Selection Functionalities in a Computational Model of Cortico-Basal-Ganglia-Thalamo-Cortical Loops.
Adapt. Behav., 2005

2003
Map-based navigation in mobile robots: : II. A review of map-learning and path-planning strategies.
Cogn. Syst. Res., 2003

Map-based navigation in mobile robots: : I. A review of localization strategies.
Cogn. Syst. Res., 2003

2001
Cartographie et estimation globale de la position pour un robot mobile autonome.
PhD thesis, 2001

1999
Evolution of Neural Controllers for Locomotion and Obstacle Avoidance in a Six-legged Robot.
Connect. Sci., 1999


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