Zobrazeno 1 - 10
of 6 777
pro vyhledávání: '"Adnane, A."'
Autor:
Raptis, Savvas, Lindberg, Martin, Liu, Terry Z., Turner, Drew L., Lalti, Ahmad, Zhou, Yufei, Kajdič, Primož, Kouloumvakos, Athanasios, Sibeck, David G., Vuorinen, Laura, Michael, Adam, Shumko, Mykhaylo, Osmane, Adnane, Krämer, Eva, Turc, Lucile, Karlsson, Tomas, Katsavrias, Christos, Wilson III, Lynn B., Madanian, Hadi, Blanco-Cano, Xóchitl, Cohen, Ian J., Escoubet, C. Philippe
Shock-generated transients, such as hot flow anomalies (HFAs), upstream of planetary bow shocks, play a critical role in electron acceleration. Using multi-mission data from NASA's Magnetospheric Multiscale (MMS) and ESA's Cluster missions, we demons
Externí odkaz:
http://arxiv.org/abs/2411.12815
Ultra-Low Frequency (ULF) waves are critical drivers of particle acceleration and loss in the Earth's magnetosphere. While statistical models of ULF-induced radial transport have traditionally assumed that the waves are uniformly distributed across m
Externí odkaz:
http://arxiv.org/abs/2409.12649
Autor:
Baert, Kelian, Bharadwaj, Shrisha, Castan, Fabien, Maujean, Benoit, Christie, Marc, Abrevaya, Victoria, Boukhayma, Adnane
Publikováno v:
SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers '24), December 3-6, 2024, Tokyo, Japan
Feedforward monocular face capture methods seek to reconstruct posed faces from a single image of a person. Current state of the art approaches have the ability to regress parametric 3D face models in real-time across a wide range of identities, ligh
Externí odkaz:
http://arxiv.org/abs/2409.07984
Autor:
Ouasfi, Amine, Boukhayma, Adnane
Implicit Neural Representations have gained prominence as a powerful framework for capturing complex data modalities, encompassing a wide range from 3D shapes to images and audio. Within the realm of 3D shape representation, Neural Signed Distance Fu
Externí odkaz:
http://arxiv.org/abs/2408.15114
This paper presents a novel approach for sparse 3D reconstruction by leveraging the expressive power of Neural Radiance Fields (NeRFs) and fast transfer of their features to learn accurate occupancy fields. Existing 3D reconstruction methods from spa
Externí odkaz:
http://arxiv.org/abs/2408.14724
Autor:
Osmane, Adnane, Raptis, Savvas
Super-Alfv\'enic jets, with kinetic energy densities significantly exceeding that of the solar wind, are commonly generated downstream of Earth's bow shock under both high and low beta plasma conditions. In this study, we present theoretical evidence
Externí odkaz:
http://arxiv.org/abs/2408.08159
Reconfigurable Intelligent Surface (RIS) technology has gained significant attention due to its ability to enhance the performance of wireless communication systems. The main advantage of RIS is that it can be strategically placed in the environment
Externí odkaz:
http://arxiv.org/abs/2407.17989
We present a novel approach for recovering 3D shape and view dependent appearance from a few colored images, enabling efficient 3D reconstruction and novel view synthesis. Our method learns an implicit neural representation in the form of a Signed Di
Externí odkaz:
http://arxiv.org/abs/2407.14257
This paper proposes a new framework to design a controller for the dexterous manipulation of an object by a multi-fingered hand. To achieve a robust manipulation and wide range of operations, the uncertainties on the location of the contact point and
Externí odkaz:
http://arxiv.org/abs/2407.11392
Detecting new obfuscated malware variants: A lightweight and interpretable machine learning approach
Machine learning has been successfully applied in developing malware detection systems, with a primary focus on accuracy, and increasing attention to reducing computational overhead and improving model interpretability. However, an important question
Externí odkaz:
http://arxiv.org/abs/2407.07918