Fast and incremental method for loop-closure detection using bags of visual words A Angeli, D Filliat, S Doncieux, JA Meyer IEEE transactions on robotics 24 (5), 1027-1037, 2008 | 663 | 2008 |
Continual learning for robotics: Definition, framework, learning strategies, opportunities and challenges T Lesort, V Lomonaco, A Stoian, D Maltoni, D Filliat, N Díaz-Rodríguez Information fusion 58, 52-68, 2020 | 495 | 2020 |
Map-based navigation in mobile robots: I. a review of localization strategies D Filliat, JA Meyer Cognitive systems research 4 (4), 243-282, 2003 | 363 | 2003 |
State representation learning for control: An overview T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat Neural Networks 108, 379-392, 2018 | 359 | 2018 |
A visual bag of words method for interactive qualitative localization and mapping D Filliat Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 316 | 2007 |
Map-based navigation in mobile robots:: II. a review of map-learning and path-planning strategies JA Meyer, D Filliat Cognitive Systems Research 4 (4), 283-317, 2003 | 299 | 2003 |
Asynchronous event-based multikernel algorithm for high-speed visual features tracking X Lagorce, C Meyer, SH Ieng, D Filliat, R Benosman IEEE transactions on neural networks and learning systems 26 (8), 1710-1720, 2014 | 181 | 2014 |
Explainable artificial intelligence (xai) on timeseries data: A survey T Rojat, R Puget, D Filliat, J Del Ser, R Gelin, N Díaz-Rodríguez arXiv preprint arXiv:2104.00950, 2021 | 180 | 2021 |
Don't forget, there is more than forgetting: new metrics for Continual Learning N Díaz-Rodríguez, V Lomonaco, D Filliat, D Maltoni NeurIPS workshop on Continual Learning 2018 arXiv preprint arXiv:1810.13166, 2018 | 178 | 2018 |
Generative models from the perspective of continual learning T Lesort, H Caselles-Dupré, M Garcia-Ortiz, A Stoian, D Filliat 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 174 | 2019 |
Real-time visual loop-closure detection A Angeli, S Doncieux, JA Meyer, D Filliat 2008 IEEE international conference on robotics and automation, 1842-1847, 2008 | 157 | 2008 |
Ontology-based context awareness for driving assistance systems A Armand, D Filliat, J Ibañez-Guzman 2014 IEEE intelligent vehicles symposium proceedings, 227-233, 2014 | 150 | 2014 |
Visual topological SLAM and global localization A Angeli, S Doncieux, JA Meyer, D Filliat 2009 IEEE International Conference on Robotics and Automation, 4300-4305, 2009 | 144 | 2009 |
Shrec'17 track: 3d hand gesture recognition using a depth and skeletal dataset Q De Smedt, H Wannous, JP Vandeborre, J Guerry, B Le Saux, D Filliat 3DOR-10th Eurographics Workshop on 3D Object Retrieval, 1-6, 2017 | 138 | 2017 |
Incremental vision-based topological SLAM A Angeli, S Doncieux, JA Meyer, D Filliat 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 126 | 2008 |
Discorl: Continual reinforcement learning via policy distillation R Traoré, H Caselles-Dupré, T Lesort, T Sun, G Cai, N Díaz-Rodríguez, ... NeurIPS workshop on Deep Reinforcement Learning,, 2019 | 96* | 2019 |
Snapnet-r: Consistent 3d multi-view semantic labeling for robotics J Guerry, A Boulch, B Le Saux, J Moras, A Plyer, D Filliat Proceedings of the IEEE international conference on computer vision …, 2017 | 95 | 2017 |
Environment exploration for object-based visual saliency learning C Craye, D Filliat, JF Goudou 2016 IEEE international conference on robotics and automation (ICRA), 2303-2309, 2016 | 91 | 2016 |
Object learning through active exploration S Ivaldi, N Lyubova, A Droniou, V Padois, D Filliat, PY Oudeyer, O Sigaud IEEE Transactions on Autonomous Mental Development 6 (1), 56-72, 2013 | 86 | 2013 |
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi, I Donadello, S Tabik, ... Information Fusion 79, 58-83, 2021 | 77 | 2021 |