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- Université de RennesFR228 papers
- Centre National de la Recherche ScientifiqueFR206 papers
- Institut national de recherche en sciences et technologies du numériqueFR176 papers
- Université de Bretagne SudFR63 papers
- Institut für Regionale Innovation und SozialforschungDE46 papers
- Centre Inria de l'Université de RennesFR43 papers
- Institut National des Sciences Appliquées de RennesFR32 papers
- Université Rennes 2FR19 papers
- Université Paris-SaclayFR15 papers
- IMT AtlantiqueFR14 papers
- École PolytechniqueFR13 papers
- École Normale Supérieure Paris-SaclayFR11 papers
32 papers · 1 filter
GTAvatar: Bridging Gaussian Splatting and Texture Mapping for Relightable and Editable Gaussian Avatars
Kelian Baert, Mae Younes, Francois Bourel +2
Recent advancements in Gaussian Splatting have enabled increasingly accurate reconstruction of photorealistic head avatars, opening the door to numerous applications in visual effe…
Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
Björn Michele, Alexandre Boulch, Gilles Puy +3
Semantic segmentation networks trained under full supervision for one type of lidar fail to generalize to unseen lidars without intervention. To reduce the performance gap under do…
KAN-SAs: Efficient Acceleration of Kolmogorov-Arnold Networks on Systolic Arrays
Sohaib Errabii, Olivier Sentieys, Marcello Traiola
Kolmogorov-Arnold Networks (KANs) have garnered significant attention for their promise of improved parameter efficiency and explainability compared to traditional Deep Neural Netw…
Operational and biomechanical evaluation of a wrist exoskeleton prototype for assisting meat cutting tasks
Aurélie Tomezzoli, Mathieu Gréau, Charles Pontonnier
Although a growing number of exoskeletons have been developed for occupational applications, wrist exoskeletons remain relatively rare. However, in the meat processing industry, el…
Finding Regular Herbrand Models for CHCs using Answer Set Programming
Gregoire Maire, Thomas Genet
We are interested in proving satisfiability of Constrained Horn Clauses (CHCs) over Algebraic Data Types (ADTs). We propose to prove satisfiability by building a tree automaton rec…
Stroke Lesion Segmentation in Clinical Workflows: A Modular, Lightweight, and Deployment-Ready Tool
Yann Kerverdo, Florent Leray, Youwan Mahé +2
Deep learning frameworks such as nnU-Net achieve state-of-the-art performance in brain lesion segmentation but remain difficult to deploy clinically due to heavy dependencies and m…