| 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 | 686 | 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 | 588 | 2020 |
| State representation learning for control: An overview T Lesort, N Díaz-Rodríguez, JF Goudou, D Filliat Neural Networks 108, 379-392, 2018 | 402 | 2018 |
| Map-based navigation in mobile robots: I. a review of localization strategies D Filliat, JA Meyer Cognitive systems research 4 (4), 243-282, 2003 | 369 | 2003 |
| A visual bag of words method for interactive qualitative localization and mapping D Filliat Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007 | 319 | 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 | 309 | 2003 |
| 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 | 221 | 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 | 202 | 2018 |
| 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 | 194 | 2014 |
| 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 | 185 | 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 | 162 | 2008 |
| 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 | 157 | 2017 |
| Ontology-based context awareness for driving assistance systems A Armand, D Filliat, J Ibañez-Guzman 2014 IEEE intelligent vehicles symposium proceedings, 227-233, 2014 | 156 | 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 |
| Incremental vision-based topological SLAM A Angeli, S Doncieux, JA Meyer, D Filliat 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 131 | 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 | 112* | 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 | 105 | 2017 |
| 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 | 95 | 2021 |
| 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 | 94 | 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 | 87 | 2013 |
Jean-Arcady MeyerDr Recherche émérite CNRSVerified email at isir.upmc.fr
Natalia Díaz-Rodríguez, PhD (ORCID:...Professor, University of Granada, Spain, DaSCI Andalusian Institute on Data Science (RoR:04njjy449)Verified email at ugr.es
Stephane DoncieuxProfessor of Computer Science, ISIR, Sorbonne University-CNRSVerified email at isir.upmc.fr
Hugo Caselles-DupréObvious Research, ISIR (Sorbonne University)Verified email at isir.upmc.fr
Pierre-Yves OudeyerResearch director, InriaVerified email at inria.fr
Joris GuerryCTO, Rumble StudioVerified email at rumble.studio
Bertrand Le SauxESA / ESRIN Φ-labVerified email at ieee.org
Natalia LyubovaSenior Application Engineer, Prophesee, FranceVerified email at prophesee.ai
Olivier SigaudProfessor in Computer Science, Sorbonne UniversitéVerified email at upmc.fr
Stéphane BazeilleAssistant professor, IRIMAS EA 7499, Université de Haute-AlsaceVerified email at uha.fr
Celine CrayeDr, Deep learning engineerVerified email at ensta-paristech.fr
Serena IvaldiResearch director, INRIAVerified email at inria.fr
Benoît GirardDirecteur de Recherche, CNRSVerified email at isir.upmc.fr
Gianni FranchiU2IS, ENSTA Paris, Institut Polytechnique de ParisVerified email at ensta-paris.fr
R.B BenosmanDirector of Research, MetaVerified email at meta.com