Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Guillaume, jeanneret"'
We consider the problem of text-to-video generation tasks with precise control for various applications such as camera movement control and video-to-video editing. Most methods tacking this problem rely on providing user-defined controls, such as bin
Externí odkaz:
http://arxiv.org/abs/2411.10501
Autor:
María Escobar, Guillaume Jeanneret, Laura Bravo-Sánchez, Angela Castillo, Catalina Gómez, Diego Valderrama, Mafe Roa, Julián Martínez, Jorge Madrid-Wolff, Martha Cepeda, Marcela Guevara-Suarez, Olga L. Sarmiento, Andrés L. Medaglia, Manu Forero-Shelton, Mauricio Velasco, Juan M. Pedraza, Rachid Laajaj, Silvia Restrepo, Pablo Arbelaez
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Po
Externí odkaz:
https://doaj.org/article/a652b46398704e8bbc0d5c215a6dc91e
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031262920
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d444a0c7c17b5c51da375e6badc55555
https://doi.org/10.1007/978-3-031-26293-7_14
https://doi.org/10.1007/978-3-031-26293-7_14
Autor:
Guillaume Jeanneret, Bernard Ghanem, Motasem Alfarra, Juan C. Pérez, Pablo Arbeláez, Ali Thabet, Laura Rueda
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Deep learning models are prone to being fooled by imperceptible perturbations known as adversarial attacks. In this work, we study how equipping models with Test-time Transformation Ensembling (TTE) can work as a reliable defense against such attacks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cef76c79c9500329e73723f3808068e
https://doi.org/10.1109/iccvw54120.2021.00015
https://doi.org/10.1109/iccvw54120.2021.00015
Autor:
Julián Martínez, Manu Forero-Shelton, Andrés L. Medaglia, Juan Manuel Pedraza-Leal, Jorge Madrid-Wolff, Angela Castillo, Marcela Guevara-Suarez, Laura Bravo-Sánchez, Olga L. Sarmiento, Silvia Restrepo, Guillaume Jeanneret, Mauricio Velasco, Diego Valderrama, Rachid Laajaj, Catalina Gómez, María Escobar, Pablo Arbeláez, Martha L. Cepeda, Mafe Roa
Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Pooling, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::157665bbe1d88cae91ff22457c651f55
https://doi.org/10.21203/rs.3.rs-805716/v1
https://doi.org/10.21203/rs.3.rs-805716/v1
Adversarial Robustness is a growing field that evidences the brittleness of neural networks. Although the literature on adversarial robustness is vast, a dimension is missing in these studies: assessing how severe the mistakes are. We call this notio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b150b4883ebf541c29233f353a3095e
Autor:
Pablo Arbeláez, Andrés L. Medaglia, Maria F. Roa, Jorge Madrid-Wolff, Mauricio Velasco, Catalina Gómez, Guillaume Jeanneret, Marcela Guevara-Suarez, Olga L. Sarmiento, María Escobar, Laura Bravo-Sánchez, Silvia Restrepo, Diego Valderrama, Manu Forero-Shelton, Julián Martínez, Angela Castillo, Juan Manuel Pedraza-Leal, Martha L. Cepeda
SummaryBackgroundCOVID-19 is an acute respiratory illness caused by the novel coronavirus SARS-CoV-2. The disease has rapidly spread to most countries and territories and has caused 14·2 million confirmed infections and 602,037 deaths as of July 19t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38739f195a148a3ee825a7b2a2e764b9
https://doi.org/10.1101/2020.07.13.20152983
https://doi.org/10.1101/2020.07.13.20152983
Autor:
Ali Thabet, Adel Bibi, Guillaume Jeanneret, Bernard Ghanem, Juan C. Pérez, Pablo Arbeláez, Motasem Alfarra
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585440
ECCV (9)
ECCV (9)
This work was partially supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-CRG2019-4033.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::646e37ee16daa0fb01af620375d27167
https://doi.org/10.1007/978-3-030-58545-7_26
https://doi.org/10.1007/978-3-030-58545-7_26
The first two teams to participate in CERN's Beamline for Schools project spent their second day at CERN learning the basics of beam physics, and visiting their experimental setup at the T9 beam line in CERN's East Hall on the Meyrin site.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::052ce887e79d9820b3ab7eaeb1b50eeb
http://cds.cern.ch/record/1754957
http://cds.cern.ch/record/1754957