Zobrazeno 1 - 10
of 516
pro vyhledávání: '"Cruz, Rodrigo A"'
Autor:
de la Cruz, Rodrigo, Niz, Gustavo, Iršič, Vid, Ravoux, Corentin, Ramírez-Pérez, César, Herrera-Alcantar, Hiram K.
We present the first robust measurement of the one-dimensional Lyman alpha (Ly$\alpha$) forest bispectrum using the complete extended Baryon Oscillation Spectroscopic Survey (eBOSS) quasar sample, corresponding to the sixteenth data release (DR16) of
Externí odkaz:
http://arxiv.org/abs/2410.09150
Autor:
Chierchia, Remi, Lebrat, Leo, Ahmedt-Aristizabal, David, Salvado, Olivier, Fookes, Clinton, Cruz, Rodrigo Santa
Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D features of wo
Externí odkaz:
http://arxiv.org/abs/2407.19652
Autor:
Xiao, Wenhui, Cruz, Rodrigo Santa, Ahmedt-Aristizabal, David, Salvado, Olivier, Fookes, Clinton, Lebrat, Leo
Neural Rendering representations have significantly contributed to the field of 3D computer vision. Given their potential, considerable efforts have been invested to improve their performance. Nonetheless, the essential question of selecting training
Externí odkaz:
http://arxiv.org/abs/2406.08839
Autor:
Ma, Rongkai, Lebrat, Leo, Cruz, Rodrigo Santa, Avraham, Gil, Zuo, Yan, Fookes, Clinton, Salvado, Olivier
Neural radiance fields (NeRFs) have exhibited potential in synthesizing high-fidelity views of 3D scenes but the standard training paradigm of NeRF presupposes an equal importance for each image in the training set. This assumption poses a significan
Externí odkaz:
http://arxiv.org/abs/2401.16144
Autor:
Lebrat, Léo, Cruz, Rodrigo Santa, Chierchia, Remi, Arzhaeva, Yulia, Armin, Mohammad Ali, Goldsmith, Joshua, Oorloff, Jeremy, Reddy, Prithvi, Nguyen, Chuong, Petersson, Lars, Barakat-Johnson, Michelle, Luscombe, Georgina, Fookes, Clinton, Salvado, Olivier, Ahmedt-Aristizabal, David
Wound management poses a significant challenge, particularly for bedridden patients and the elderly. Accurate diagnostic and healing monitoring can significantly benefit from modern image analysis, providing accurate and precise measurements of wound
Externí odkaz:
http://arxiv.org/abs/2311.15836
Autor:
Ravoux, Corentin, Karim, Marie Lynn Abdul, Armengaud, Eric, Walther, Michael, Karaçaylı, Naim Göksel, Martini, Paul, Guy, Julien, Aguilar, Jessica Nicole, Ahlen, Steven, Bailey, Stephen, Bautista, Julian, Beltran, Sergio Felipe, Brooks, David, Cabayol-Garcia, Laura, Chabanier, Solène, Chaussidon, Edmond, Chaves-Montero, Jonás, Dawson, Kyle, de la Cruz, Rodrigo, de la Macorra, Axel, Doel, Peter, Fanning, Kevin, Font-Ribera, Andreu, Forero-Romero, Jaime, Gontcho, Satya Gontcho A, Gonzalez-Morales, Alma, Gordon, Calum, Herrera-Alcantar, Hiram, Honscheid, Klaus, Iršič, Vid, Ishak, Mustapha, Kehoe, Robert, Kisner, Theodore, Kremin, Anthony, Landriau, Martin, Guillou, Laurent Le, Levi, Michael, Lukić, Zarija, Magneville, Christophe, Meisner, Aaron, Miquel, Ramon, Moustakas, John, Mueller, Eva-Maria, Muñoz-Gutiérrez, Andrea, Napolitano, Lucas, Nie, Jundan, Niz, Gustavo, Palanque-Delabrouille, Nathalie, Percival, Will, Pérez-Ràfols, Ignasi, Pieri, Matthew, Poppett, Claire, Prada, Francisco, Pérez, César Ramírez, Rossi, Graziano, Sanchez, Eusebio, Schlegel, David, Schubnell, Michael, Seo, Hee-Jong, Sinigaglia, Francesco, Tan, Ting, Tarlé, Gregory, Wang, Ben, Weaver, Benjamin, Yèche, Christophe, Zhou, Zhimin
Publikováno v:
MNRAS, Volume 526, Issue 4, December 2023, Pages 5118-5140
We present the one-dimensional Lyman-$\alpha$ forest power spectrum measurement using the first data provided by the Dark Energy Spectroscopic Instrument (DESI). The data sample comprises $26,330$ quasar spectra, at redshift $z > 2.1$, contained in t
Externí odkaz:
http://arxiv.org/abs/2306.06311
Autor:
Porte, Lorena1 (AUTHOR), Cruz, Rodrigo2 (AUTHOR), Pérez, Inia3 (AUTHOR), Varela, Carmen1 (AUTHOR), Díaz, Cristina4 (AUTHOR), García, Patricia5 (AUTHOR), Legarraga, Paulette1 (AUTHOR), Valdivieso, Francisca6 (AUTHOR), Weitzel, Thomas1,7 (AUTHOR) thomas.weitzel@gmail.com
Publikováno v:
PLoS ONE. 12/23/2024, Vol. 19 Issue 12, p1-10. 10p.
Autor:
Cruz, Rodrigo Santa, Lebrat, Léo, Fu, Darren, Bourgeat, Pierrick, Fripp, Jurgen, Fookes, Clinton, Salvado, Olivier
The problem of Cortical Surface Reconstruction from magnetic resonance imaging has been traditionally addressed using lengthy pipelines of image processing techniques like FreeSurfer, CAT, or CIVET. These frameworks require very long runtimes deemed
Externí odkaz:
http://arxiv.org/abs/2206.06598
Autor:
Lebrat, Léo, Cruz, Rodrigo Santa, de Gournay, Frédéric, Fu, Darren, Bourgeat, Pierrick, Fripp, Jurgen, Fookes, Clinton, Salvado, Olivier
In this paper we introduce CorticalFlow, a new geometric deep-learning model that, given a 3-dimensional image, learns to deform a reference template towards a targeted object. To conserve the template mesh's topological properties, we train our mode
Externí odkaz:
http://arxiv.org/abs/2206.02374
Autor:
Vicente Cruz, Rodrigo, Flageul, Cédric, Lamballais, Eric, Duffal, Vladimir, Coupanec, Erwan Le, Benhamadouche, Sofiane
Publikováno v:
In International Journal of Heat and Fluid Flow December 2024 110