Zobrazeno 1 - 10
of 5 250
pro vyhledávání: '"Argyros A"'
We present D-PoSE (Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation), a one-stage method that estimates human pose and SMPL-X shape parameters from a single RGB image. Recent works use larger models with transformer back
Externí odkaz:
http://arxiv.org/abs/2410.04889
Autor:
Savathrakis, Giorgos, Argyros, Antonis
Transformers demonstrate competitive performance in terms of precision on the problem of vision-based object detection. However, they require considerable computational resources due to the quadratic size of the attention weights. In this work, we pr
Externí odkaz:
http://arxiv.org/abs/2409.07541
A Hereditarily Indecomposable (HI) Banach space $X$ admits an HI extension if there exists an HI space $Z$ such that $X$ is isomorphic to a subspace $Y$ of $Z$ and $Z/Y$ is of infinite dimension. The problem whether or not every HI space admits an HI
Externí odkaz:
http://arxiv.org/abs/2407.20030
Autor:
Argyros, Spiros A., González, Manuel
We provide a new proof of S. Bellenot's characterization of the extreme points of the unit ball $B_J$ of James quasi-reflexive space $J$. We also provide an explicit description of the norm of $J^{**}$ which yields an analogous characterization for t
Externí odkaz:
http://arxiv.org/abs/2406.14104
Autor:
Manousaki, Victoria, Bacharidis, Konstantinos, Gouidis, Filippos, Papoutsakis, Konstantinos, Plexousakis, Dimitris, Argyros, Antonis
In this work, we introduce (a) the new problem of anticipating object state changes in images and videos during procedural activities, (b) new curated annotation data for object state change classification based on the Ego4D dataset, and (c) the firs
Externí odkaz:
http://arxiv.org/abs/2405.12789
Autor:
Gouidis, Filippos, Papantoniou, Katerina, Patkos, Konstantinos Papoutsakis Theodore, Argyros, Antonis, Plexousakis, Dimitris
Domain-specific knowledge can significantly contribute to addressing a wide variety of vision tasks. However, the generation of such knowledge entails considerable human labor and time costs. This study investigates the potential of Large Language Mo
Externí odkaz:
http://arxiv.org/abs/2403.12151
Autor:
Pavlidakis, Manos, Vasiliadis, Giorgos, Mavridis, Stelios, Argyros, Anargyros, Chazapis, Antony, Bilas, Angelos
Modern GPU applications, such as machine learning (ML), can only partially utilize GPUs, leading to GPU underutilization in cloud environments. Sharing GPUs across multiple applications from different tenants can improve resource utilization and cons
Externí odkaz:
http://arxiv.org/abs/2401.09290
Autor:
Nectarios Vidakis, Nikolaos Michailidis, Markos Petousis, Nektarios K. Nasikas, Vassilios Saltas, Vassilis Papadakis, Nikolaos Mountakis, Apostolos Argyros, Mariza Spiridaki, Ioannis Valsamos
Publikováno v:
Defence Technology, Vol 38, Iss , Pp 16-32 (2024)
In this study, we investigated the performance improvement caused by the addition of copper (Cu) nanoparticles to high-density polyethylene (HDPE) matrix material. Composite materials, with filler percentages of 0.0, 2.0, 4.0, 6.0, 8.0, and 10.0 wt%
Externí odkaz:
https://doaj.org/article/a634462dee28460395a752b48264264a
We investigate the problem of Object State Classification (OSC) as a zero-shot learning problem. Specifically, we propose the first Object-agnostic State Classification (OaSC) method that infers the state of a certain object without relying on the kn
Externí odkaz:
http://arxiv.org/abs/2307.12179
Reconstructing 3D human pose and shape from monocular videos is a well-studied but challenging problem. Common challenges include occlusions, the inherent ambiguities in the 2D to 3D mapping and the computational complexity of video processing. Exist
Externí odkaz:
http://arxiv.org/abs/2305.00181