Zobrazeno 1 - 10
of 12 845
pro vyhledávání: '"Velásquez P"'
Publikováno v:
Clinical Pharmacology: Advances and Applications, Vol Volume 16, Pp 1-25 (2024)
Paula Andrea Velásquez,1,2 Juan C Hernandez,1,2 Elkin Galeano,3 Jaime Hincapié-García,4 María Teresa Rugeles,2 Wildeman Zapata-Builes1,2 1Grupo Infettare, Facultad de Medicina, Universidad Cooperativa de Colombia, Medellín, Colombia; 2Grupo Inmu
Externí odkaz:
https://doaj.org/article/ddb7f495781147cf8e596e0c403e601d
Autor:
Niewiadomski, Tomasz, Yiannakidis, Anastasios, Cuevas-Velasquez, Hanz, Sanyal, Soubhik, Black, Michael J., Zuffi, Silvia, Kulits, Peter
The model-based estimation of 3D animal pose and shape from images enables computational modeling of animal behavior. Training models for this purpose requires large amounts of labeled image data with precise pose and shape annotations. However, capt
Externí odkaz:
http://arxiv.org/abs/2412.08101
Publikováno v:
2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON), Porto, Portugal, 2024, pp. 1321-1326
In the ever-evolving landscape of computing, the advent of edge and fog computing has revolutionized data processing by bringing it closer to end-users. While cloud computing offers numerous advantages, including mobility, flexibility and scalability
Externí odkaz:
http://arxiv.org/abs/2412.01412
Autor:
Ghosal, Soumya Suvra, Chakraborty, Souradip, Singh, Vaibhav, Guan, Tianrui, Wang, Mengdi, Beirami, Ahmad, Huang, Furong, Velasquez, Alvaro, Manocha, Dinesh, Bedi, Amrit Singh
With the widespread deployment of Multimodal Large Language Models (MLLMs) for visual-reasoning tasks, improving their safety has become crucial. Recent research indicates that despite training-time safety alignment, these models remain vulnerable to
Externí odkaz:
http://arxiv.org/abs/2411.18688
Autor:
Xu, Weilin, Szyller, Sebastian, Cornelius, Cory, Rojas, Luis Murillo, Arvinte, Marius, Velasquez, Alvaro, Martin, Jason, Himayat, Nageen
Adversarial examples in the digital domain against deep learning-based computer vision models allow for perturbations that are imperceptible to human eyes. However, producing similar adversarial examples in the physical world has been difficult due t
Externí odkaz:
http://arxiv.org/abs/2411.16622
Autor:
Gasparino, Mateus Valverde, Higuti, Vitor Akihiro Hisano, Sivakumar, Arun Narenthiran, Velasquez, Andres Eduardo Baquero, Becker, Marcelo, Chowdhary, Girish
Small robots that can operate under the plant canopy can enable new possibilities in agriculture. However, unlike larger autonomous tractors, autonomous navigation for such under canopy robots remains an open challenge because Global Navigation Satel
Externí odkaz:
http://arxiv.org/abs/2411.10974
Training methods to perform robust 3D human pose and shape (HPS) estimation requires diverse training images with accurate ground truth. While BEDLAM demonstrates the potential of traditional procedural graphics to generate such data, the training im
Externí odkaz:
http://arxiv.org/abs/2411.08663
The innermost region of the Milky Way harbors the central molecular zone (CMZ). This region contains a large amount of molecular gas but a poor star formation rate considering the densities achieved by the gas in this region. We used the arepo code t
Externí odkaz:
http://arxiv.org/abs/2411.05684
Autor:
Weigand-Whittier, Jonah, Wendland, Michael, Lam, Bonnie, Velasquez, Mark, Vandsburger, Moriel H.
Purpose: ECG and respiratory-gated preclinical cardiac CEST-MRI acquisitions are difficult due to variable saturation recovery with T1, RF interference in the ECG signal, and offset-to-offset variation in Z-magnetization and cardiac phase introduced
Externí odkaz:
http://arxiv.org/abs/2411.01004
We provide an explicit computation of the topological $K$-theory groups $K_*(C_r^*(\mathbb{Z}^n\rtimes \mathbb{Z}/m))$ of semidirect products of the form $\mathbb{Z}^n\rtimes \mathbb{Z}Z/m$ with $m$ square-free. We want to highlight the fact that we
Externí odkaz:
http://arxiv.org/abs/2410.09263