Zobrazeno 1 - 10
of 6 654
pro vyhledávání: '"Guarda, AS"'
Efficient point cloud coding has become increasingly critical for multiple applications such as virtual reality, autonomous driving, and digital twin systems, where rich and interactive 3D data representations may functionally make the difference. De
Externí odkaz:
http://arxiv.org/abs/2409.08130
Event cameras have the ability to capture asynchronous per-pixel brightness changes, called "events", offering advantages over traditional frame-based cameras for computer vision applications. Efficiently coding event data is critical for transmissio
Externí odkaz:
http://arxiv.org/abs/2407.15531
The widespread usage of point clouds (PC) for immersive visual applications has resulted in the use of very heterogeneous receiving conditions and devices, notably in terms of network, hardware, and display capabilities. In this scenario, quality sca
Externí odkaz:
http://arxiv.org/abs/2404.07698
Autor:
Guarda, Pablo, Qian, Sean
This paper leverages macroscopic models and multi-source spatiotemporal data collected from automatic traffic counters and probe vehicles to accurately estimate traffic flow and travel time in links where these measurements are unavailable. This prob
Externí odkaz:
http://arxiv.org/abs/2401.17095
In the current golden age of multimedia, human visualization is no longer the single main target, with the final consumer often being a machine which performs some processing or computer vision tasks. In both cases, deep learning plays a undamental r
Externí odkaz:
http://arxiv.org/abs/2310.18849
Photonic integrated circuits (PICs) are key in advancing quantum technologies for secure communications. They offer inherent stability, low losses and compactness compared to standard fiber-based and free-space systems. Our reasearch demonstrates PIC
Externí odkaz:
http://arxiv.org/abs/2310.16702
Autor:
Nicolas Aguilar-Farias, Sebastian Miranda-Marquez, Marcelo Toledo-Vargas, Kabir P. Sadarangani, Jessica Ibarra-Mora, Pia Martino-Fuentealba, Jaime Carcamo-Oyarzun, Carlos Cristi-Montero, Fernando Rodríguez-Rodríguez, Paula Guarda-Saavedra, Teresa Balboa-Castillo, Astrid Von Oetinger, Andrea Cortinez-O'Ryan
Publikováno v:
Journal of Exercise Science & Fitness, Vol 22, Iss 4, Pp 390-396 (2024)
Purpose: To summarize the results of Chile's 2022 Report Card (RC) on physical activity (PA) for Children and Adolescents. Methods: Chile's 2022 RC included ten core PA indicators common to the Global Matrix 4.0. Evidence from scientific articles, re
Externí odkaz:
https://doaj.org/article/ed4f76a6c93748c6a60195a52942eaa6
Publikováno v:
Journal of Eating Disorders, Vol 12, Iss 1, Pp 1-11 (2024)
Abstract Background Anorexia nervosa (AN) is a severe psychiatric disorder, from which recovery is often protracted. The role of prior specialized inpatient treatment on subsequent treatment attempts for adults with chronic AN and predictors of treat
Externí odkaz:
https://doaj.org/article/76e7ecb925074b6bb7f2ae955904efa4
Autor:
Gabriela Plasencia, Kamaria Kaalund, Rohan Gupta, Viviana Martinez-Bianchi, Rosa Gonzalez-Guarda, Jessica Sperling, Andrea Thoumi
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background The purpose of this study is to increase understanding of the forms of systemic racism experienced by Latinx communities in North Carolina during the COVID-19 pandemic as identified by Latinx community health workers (CHWs) and co
Externí odkaz:
https://doaj.org/article/11c6a4c6a3b748ffb3d47182b2461b78
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2024, Iss 1, Pp 1-27 (2024)
Abstract The recent adoption of deep learning-based models for the processing and coding of multimedia signals has brought noticeable gains in performance, which have established deep learning-based solutions as the uncontested state-of-the-art both
Externí odkaz:
https://doaj.org/article/842467256ebb4eca8bd36c6c71531044