853 citations
- Sorbonne UniversitéFR398 papers
- Centre National de la Recherche ScientifiqueFR380 papers
- Université Paris CitéFR136 papers
- Université Pierre-et-Marie-CurieFR97 papers
- University of EdinburghGB89 papers
- Institut national de recherche en sciences et technologies du numériqueFR85 papers
- Université Paris-SaclayFR67 papers
- University of OxfordGB54 papers
- École PolytechniqueFR50 papers
- Sorbonne Paris CitéFR48 papers
- Massachusetts Institute of TechnologyUS45 papers
- Universidade Federal do Rio de JaneiroBR45 papers
595 papers
Singularity Analysis for the Perspective-Four and Five-Line Problems
Jorge García Fontán, Abhilash Nayak, Sébastien Briot +1
This paper deals with image-based visual servoing and pose estimation by observing four and five lines. Our main interest is to determine the relative configurations of the camera…
A Heterogeneous Neural Network Accelerator for End-to-End Multitask RF Signal Recognition
Zhifan Song, Haralampos-G. Stratigopoulos, Hassan Aboushady
This paper presents a heterogeneous neural network accelerator for multi-task RF signal recognition, supporting automatic modulation recognition (AMR), hardware-Trojan covert chann…
FLAIR: Distributed Federated Learning with Dynamic Clustering
Ihssan Boutebicha, Bilel Zaghdoudi, Mohamed Amine Legheraba +1
Federated Learning (FL) offers a privacy-preserving framework for distributed machine learning, yet conventional centralized and hierarchical architectures present significant chal…
Mixed precision Newton's method for optimization
Nicolas Brisebarre, Giuseppe Carrino, Theo Mary +1
Second-order optimization methods, such as Newton's algorithm, achieve fast local convergence and high accuracy, but their practical use is often limited by high computational cost…
Bayesian-Calibrated Detection of Hallucinated Package Imports in AI-Assisted Code
Lom M. Hillah, Jean-Marc Richard, Ryan Hasnaoui
We present a Bayesian calibration layer for slopsquat detectors -- those that flag hallucinated package imports in code produced by large language models (LLMs). Where existing pip…
Leveraging Vision-Language Models to Detect Attention in Educational Videos
Gabriel Becquet, Sébastien Lallé, Vanda Luengo +1
Educational videos are a cornerstone of remote and blended learning. However, learners' fluctuating attention remains a significant barrier to effective information retention. Prio…