Bienvenue dans la collection HAL - Lab-STICC_RAMBO

L'archive ouverte HAL - Lab-STICC permet de consulter en libre accès, les publications scientifiques et travaux de recherche de l'équipe RAMBO du Lab-STICC. Attention, la page ci-dessous affiche les dépôts en accès libre. La liste des notices bibliographiques est disponible sur la page Notices de la collection Lab-STICC_RAMBO.

Dernières publications Pedro Soto Vega, Gustavo Andrade-Miranda, Gilson da Costa, Panagiotis Papadakis, Marjolaine Matabos, et al.. Deep-Sea Fauna Segmentation: A Comparative Analysis of Convolutional and Vision Transformer Architectures at Lucky Strike Vent Field. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Nov 2024, Belém, Brazil. pp.387-395, ⟨10.5194/isprs-annals-X-3-2024-387-2024⟩. ⟨hal-04772781⟩ Hajer Fradi, Panagiotis Papadakis. Advancing Object Detection for Autonomous Vehicles via General Purpose Event-RGB Fusion. 2024. ⟨hal-04746439v2⟩ Yassine Habib, Panagiotis Papadakis, Cédric Le Barz, Antoine Fagette, Tiago Gonçalves, et al.. Real-time, Dense UAV Mapping by Leveraging Monocular Depth Prediction with Monocular-Inertial SLAM. Advanced Robotics, 2024, ⟨10.1080/01691864.2024.2415084⟩. ⟨hal-04612405v2⟩ Hajer Fradi. Neuromorphic vision and transfer learning for autonomous driving. European Responsible Research and Innovation Event, Oct 2024, Rennes, France. ⟨hal-04739726⟩ Mohamed Khalil Jabri, Panagiotis Papadakis, Ehsan Abbasnejad, Gilles Coppin, Javen Shi. Invariant Representation Learning for Generalizable Imitation. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Oct 2024, Bruges, Belgium. ⟨hal-04613937v2⟩ Ala Souissi, Hajer Fradi, Panagiotis Papadakis. Leveraging Event Streams with Deep Reinforcement Learning for End-to-End UAV Tracking. 2024. ⟨hal-04714734⟩ Elouan Blanchard, Arthur Bit-Monnot, Cyrille Briand, Grégoire Milliez, Mohamed Amine Abdeljaouad. Planning the tasks of an autonomous mobile robot fleet for internal logistics of production systems. APMS 2024 CONFERENCE, Sep 2024, Chemnitz/Zwickau, Germany. ⟨hal-04642887⟩ Sao Mai Nguyen, Maxime Devanne, Olivier Remy-Neris, Mathieu Lempereur, Andre Thepaut. A Medical Low-Back Pain Physical Rehabilitation Dataset for Human Body Movement Analysis. IJCNN 2024 - International Joint Conference on Neural Networks, IEEE, Jun 2024, Yokohama, Japan. ⟨hal-04629541⟩ Christophe Lohr. Contributions à la conception de systèmes ambiants pour l’aide aux personnes fragiles. Réseaux et télécommunications [cs.NI]. Université de Bretagne Occidentale, 2024. ⟨tel-04616444⟩ Mehdi Zadem, Sergio Mover, Sergio Mover, Sao Mai Nguyen. Reconciling Spatial and Temporal Abstractions for Goal Representation. ICLR 2024 - The Twelfth International Conference on Learning Representations, May 2024, Vienna, Austria. ⟨hal-04629549⟩

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