CEASEFIRE: An AI-powered system for combatting illicit firearms trafficking

no code implementations • 21 Jun 2024 • Jorgen Cani, Ioannis Mademlis, Marina Mancuso, Caterina Paternoster, Emmanouil Adamakis, George Margetis, Sylvie Chambon, Alain Crouzil, Loubna Lechelek, Georgia Dede, Spyridon Evangelatos, George Lalas, Franck Mignet, Pantelis Linardatos, Konstantinos Kentrotis, Henryk Gierszal, Piotr Tyczka, Sophia Karagiorgou, George Pantelis, Georgios Stavropoulos, Konstantinos Votis, Georgios Th. Papadopoulos

Modern technologies have led illicit firearms trafficking to partially merge with cybercrime, while simultaneously permitting its off-line aspects to become more sophisticated.

Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track Extension

1 code implementation • 21 Oct 2019 • Geoffrey Roman-Jimenez, Patrice Guyot, Thierry Malon, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, Florence Sedes, Christine Sénac

We compared T2TP with I2TP using the same CNN models.

Retrieval Vehicle Re-Identification

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

1 code implementation • 1 Jul 2019 • Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Vivek Kumar Singh, Syeda Furruka Banu, Forhad U H Chowdhury, Kabir Ahmed Choudhury, Sylvie Chambon, Petia Radeva, Domenec Puig, Mohamed Abdel-Nasser

Thus, this article aims to achieve precise skin lesion segmentation with minimum resources: a lightweight, efficient generative adversarial network (GAN) model called SLSNet, which combines 1-D kernel factorized networks, position and channel attention, and multiscale aggregation mechanisms with a GAN model.

Generative Adversarial Network Image Segmentation +5

Support Vector Machine (SVM) Recognition Approach adapted to Individual and Touching Moths Counting in Trap Images

no code implementations • 18 Sep 2018 • Mohamed Chafik Bakkay, Sylvie Chambon, Hatem A. Rashwan, Christian Lubat, Sébastien Barsotti

The proposed classification method can be trained with a small set of images.

Classification General Classification

Using Curvilinear Features in Focus for Registering a Single Image to a 3D Object

no code implementations • 26 Feb 2018 • Hatem A. Rashwan, Sylvie Chambon, Pierre Gurdjos, Géraldine Morin, Vincent Charvillat

The results presented highlight the quality of the features detected, in term of repeatability, and also the interest of the approach for registration and pose estimation.

Pose Estimation