Zobrazeno 1 - 10
of 13 961
pro vyhledávání: '"Kassab, A."'
We introduce MMIS, a novel dataset designed to advance MultiModal Interior Scene generation and recognition. MMIS consists of nearly 160,000 images. Each image within the dataset is accompanied by its corresponding textual description and an audio re
Externí odkaz:
http://arxiv.org/abs/2407.05980
Facial Expression Recognition (FER) is vital for understanding interpersonal communication. However, existing classification methods often face challenges such as vulnerability to noise, imbalanced datasets, overfitting, and generalization issues. In
Externí odkaz:
http://arxiv.org/abs/2407.02361
Publikováno v:
Bit Numer Math 64, 26 (2024)
In this paper, we consider large-scale ranking problems where one is given a set of (possibly non-redundant) pairwise comparisons and the underlying ranking explained by those comparisons is desired. We show that stochastic gradient descent approache
Externí odkaz:
http://arxiv.org/abs/2407.02656
Exoskeletons for daily use by those with mobility impairments are being developed. They will require accurate and robust scene understanding systems. Current research has used vision to identify immediate terrain and geometric obstacles, however thes
Externí odkaz:
http://arxiv.org/abs/2403.14320
Autor:
Schnepf, Antoine, Kassab, Karim, Franceschi, Jean-Yves, Caraffa, Laurent, Vasile, Flavian, Mary, Jeremie, Comport, Andrew, Gouet-Brunet, Valérie
We present a method enabling the scaling of NeRFs to learn a large number of semantically-similar scenes. We combine two techniques to improve the required training time and memory cost per scene. First, we learn a 3D-aware latent space in which we t
Externí odkaz:
http://arxiv.org/abs/2403.11678
Autor:
Neto, Valdemar Vicente Graciano, Santos, Diana Lorena, França, Andrey Gonçalves, Frantz, Rafael Z., de Oliveira-Jr, Edson, Mohsin, Ahmad, Kassab, Mohamad
Context: Software architecture intensely impacts the software quality. Therefore, the professional assigned to carry out the design, maintenance and evolution of architectures needs to have certain knowledge and skills in order not to compromise the
Externí odkaz:
http://arxiv.org/abs/2403.00955
Autor:
Kassab, Karim, Schnepf, Antoine, Franceschi, Jean-Yves, Caraffa, Laurent, Mary, Jeremie, Gouet-Brunet, Valérie
Modeling large scenes from unconstrained images has proven to be a major challenge in computer vision. Existing methods tackling in-the-wild scene modeling operate in closed-world settings, where no conditioning on priors acquired from real-world ima
Externí odkaz:
http://arxiv.org/abs/2312.00639
Autor:
Neto, Valdemar Vicente Graciano, Rodrigues, Célia Laís, Kamei, Fernando Kenji, de Oliveira, Juliano Lopes, de Lima, Eliomar Araújo, Kassab, Mohamad, Oliveira, Roberto
Systematic literature reviews tentativelydescribe the state of the art in a given research area. However, the continuous publication of new primary and secondary studies following the release of a tertiary study can make the communication of results
Externí odkaz:
http://arxiv.org/abs/2311.00211
Versatile and adaptive semantic understanding would enable autonomous systems to comprehend and interact with their surroundings. Existing fixed-class models limit the adaptability of indoor mobile and assistive autonomous systems. In this work, we i
Externí odkaz:
http://arxiv.org/abs/2309.15065
Publikováno v:
Journal of Inflammation Research, Vol Volume 17, Pp 4747-4763 (2024)
Barakat M ALRashdi,1 Diaa Massoud,1 Hager K Rashwan,2 Shahenda Mahgoub,3 Nermeen Z Abuelezz,2 Ali M Nasr,4,5 Rami B Kassab,6 Hatem K Amin3 1Department of Biology, College of Science, Jouf University, Sakaka, Saudi Arabia; 2Department of Biochemistry,
Externí odkaz:
https://doaj.org/article/c73b6b9bef414260887da0e0198560fd