Scientific Diffusion

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…

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…

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…

Conference Paper

Selma Oubouabdellah, Minh-Quan Dao, Ezio Malis, Elwan Héry, Julien Moreau, Vincent Frémont

Ensuring the safety of autonomous vehicles in complex urban environments critically depends on accurate 3D object detection. While LiDAR sensors provide reliable depth information, their effectiveness is limited by sparsity at long distances and occlusions, particularly in…

Conference Paper

Kilian Bürgi, Stephane Petiot, Cécile Sabourault, Rémy Sun, Diane Lingrand, Benoit Derijard, Charles Bouveyron

The crucial need for reliable, robust and un-biased biodiversity data in support of initiatives such as the 30x30 initiative, which aims to conserve 30% of the world's oceans by 2030, presents significant scientific and technological challenges. There have been advances made to…

Conference Paper

Enrico Fiasché, Ezio Malis, Philippe Martinet

Ensuring connectivity and coordination in heterogeneous multi-robot systems (MRS) navigating complex environments is a critical challenge, especially when communication constraints and obstacles cause robots to become lost or disconnected. This paper presents a novel approach…