Scientific Diffusion
Latest research papers
Toughness Properties of Arbitrarily Partitionable Graphs
Journal Article
Julien Bensmail
Drawing inspiration from a well-known conjecture of Chv\'atal on a toughness threshold guaranteeing graph Hamiltonicity, we investigate toughness properties of so-called arbitrarily partitionable (AP) graphs, which are those graphs that can be partitioned into arbitrarily many…
The Harmonious Coloring Game
Journal Article
Cláudia Linhares Sales, Thiago Marcilon, Nicolas Martins, Nicolas Nisse, Rudini Sampaio
A harmonious k-coloring of a graph G is a 2-distance proper k-coloring of its vertices such that each edge is uniquely identified by the colors of its endpoints. Here, we introduce its game version: the harmonious coloring game. In this two-player game, Alice and Bob…
Tensor Decompositions for Signal Processing: Theory, Advances, and Applications
Journal Article
Neriman Tokcan, Shakir Showkat Sofi, Van Tien Pham, Clémence Prévost, Sofiane Kharbech, Baptiste Magnier, Thanh Phuong Nguyen, Yassine Zniyed, Lieven de Lathauwer
In the era of big data, rapid advancements in technology and data collection methods have led to the generation and accessibility of vast amounts of multi-modal, high-dimensional data across a diverse range of disciplines. Tensor methods have emerged as essential tools in…
Change Detection and Model Update from Limited Query Data for Accurate Robot Localization
Conference Paper
Stefan Larsen, Ezio Malis, El Mustapha Mouaddib, Patrick Rives
The ability to maintain consistent 3D representations of changing environments remains a key challenge for long-term robotic systems in fields like surveillance, agriculture and autonomous vehicles. Visual localization and monitoring with robot agents require an accurate and…
Qu’est que la littératie pour l’IA ?
Communication Poster
Thierry Viéville
Ce cadre est une initiative conjointe de la Commission européenne (CE) et de l'Organisation de coopération et de développement économiques (OCDE), opérée par Code.org. Il définit les compétences et les scénarios d'apprentissage afin d'éclairer les supports pédagogiques, les…
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
Conference Paper
Katie Z Luo, Minh-Quan Dao, Zhenzhen Liu, Mark Campbell, Wei-Lun Chao, Kilian Q Weinberger, Ezio Malis, Vincent Frémont, Bharath Hariharan, Mao Shan, Stewart Worrall, Julie Stephany Berrio Perez
Vehicle-to-everything (V2X) collaborative perception has emerged as a promising solution to address the limitations of single-vehicle perception systems. However, existing V2X datasets are limited in scope, diversity, and quality. To address these gaps, we present \ours{}, a…