output
20072026
most citedOpen data from the third observing run of LIGO, Virgo, KAGRA and GEO

331 citations

Showing cs.CVShow all

15 papers · 1 filter

cs.CV2025★ 3 cited

SHREC 2025: Protein surface shape retrieval including electrostatic potential

Taher Yacoub, Camille Depenveiller, Atsushi Tatsuma +25

This SHREC 2025 track dedicated to protein surface shape retrieval involved 9 participating teams. We evaluated the performance in retrieval of 15 proposed methods on a large datas…

cs.CV2024★ 1 cited

Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads

Federico Nocentini, Thomas Besnier, Claudio Ferrari +3

Generating speech-driven 3D talking heads presents numerous challenges; among those is dealing with varying mesh topologies where no point-wise correspondence exists across the mes…

cs.CV2021★ 14 cited

An Experimental Study of the Impact of Pre-training on the Pruning of a Convolutional Neural Network

Nathan Hubens, Matei Mancas, Bernard Gosselin +2

In recent years, deep neural networks have known a wide success in various application domains. However, they require important computational and memory resources, which severely h…

cs.CV2021★ 94 cited

Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

Norman Poh, Thirimachos Bourlai, Josef Kittler +13

Automatically verifying the identity of a person by means of biometrics is an important application in day-to-day activities such as accessing banking services and security control…

cs.CV2021★ 243 cited

The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB)

Javier Ortega-Garcia, Julian Fierrez, Fernando Alonso-Fernandez +29

A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 indivi…

cs.CV2021★ 7 cited

Deep Spiking Convolutional Neural Network for Single Object Localization Based On Deep Continuous Local Learning

Sami Barchid, José Mennesson, Chaabane Djéraba

With the advent of neuromorphic hardware, spiking neural networks can be a good energy-efficient alternative to artificial neural networks. However, the use of spiking neural netwo…