35 citations
- Thales (Australia)AU11 papers
- Centre National de la Recherche ScientifiqueFR9 papers
- Thales (France)FR7 papers
- Université Paris-SaclayFR6 papers
- Laboratoire Albert FertFR3 papers
- Laboratoire de Physique de l'Ecole Normale SupérieureFR3 papers
- Sorbonne UniversitéFR3 papers
- Thales Alenia Space (France)3 papers
- Université Paris Sciences et LettresFR3 papers
- Clermont UniversitéFR2 papers
- III V LabFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
7 papers · 1 filter
CG2A: Conceptual Graphs Generation Algorithm
Adam Faci, Marie-Jeanne Lesot, Claire Laudy
Conceptual Graphs (CGs) are a formalism to represent knowledge. However producing a CG database is complex. To the best of our knowledge, existing methods do not fully use the expr…
Non-hermiticity in spintronics: oscillation death in coupled spintronic nano-oscillators through emerging exceptional points
Steffen Wittrock, Salvatore Perna, Romain Lebrun +6
The emergence of exceptional points (EPs) in the parameter space of a non-hermitian (2D) eigenvalue problem is studied in a general sense in mathematical physics, and has in the la…
New method for residual amplitude modulation control in fibered optical experiments
Maxime Descampeaux, Gilles Feugnet, Fabien Bretenaker
When locking the frequency of a laser to an optical cavity resonance, the residual amplitude modulation (RAM), which accompanies the phase modulation necessary to build the error s…
Free space optical communication receiver based on a spatial demultiplexer and a photonic integrated coherent combining circuit
Vincent Billault, Jerome Bourderionnet, Jean-Paul Mazellier +7
Atmospheric turbulences can generate scintillation or beam wandering phenomena that impairs free space optical (FSO) communication. In this paper, we propose and demonstrate a proo…
Encouraging Intra-Class Diversity Through a Reverse Contrastive Loss for Better Single-Source Domain Generalization
Thomas Duboudin, Emmanuel Dellandréa, Corentin Abgrall +2
Traditional deep learning algorithms often fail to generalize when they are tested outside of the domain of the training data. The issue can be mitigated by using unlabeled data fr…
Adaptable Deformable Convolutions for Semantic Segmentation of Fisheye Images in Autonomous Driving Systems
Clément Playout, Ola Ahmad, Freddy Lecue +1
Advanced Driver-Assistance Systems rely heavily on perception tasks such as semantic segmentation where images are captured from large field of view (FoV) cameras. State-of-the-art…