Zobrazeno 1 - 10
of 679
pro vyhledávání: '"A A, Aristidou"'
DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization
High-quality motion reconstruction that follows the user's movements can be achieved by high-end mocap systems with many sensors. However, obtaining such animation quality with fewer input devices is gaining popularity as it brings mocap closer to th
Externí odkaz:
http://arxiv.org/abs/2406.14567
Publikováno v:
ACM Transactions on Graphics 2023
Accurate and reliable human motion reconstruction is crucial for creating natural interactions of full-body avatars in Virtual Reality (VR) and entertainment applications. As the Metaverse and social applications gain popularity, users are seeking co
Externí odkaz:
http://arxiv.org/abs/2311.02191
The integration of the frequency dynamics into Micro-Grid (MG) investment and operational planning problems is vital in ensuring the security of the system in the post-contingency states. However, the task of including transient security constraints
Externí odkaz:
http://arxiv.org/abs/2304.06674
Autor:
Yu, Jubo, Ren, Tianxiang, Guo, Shihui, Fang, Fengyi, Wang, Kai, Zeng, Zijiao, Zhang, Yazhan, Aristidou, Andreas, Qin, Yipeng
In this paper, we follow a data-centric philosophy and propose a novel motion annotation method based on the inherent representativeness of motion data in a given dataset. Specifically, we propose a Representation-based Representativeness Ranking R3
Externí odkaz:
http://arxiv.org/abs/2304.01672
Autor:
Eleanor Blair Towers, Ivy L. Williams, Ariadne S. K. Aristidou, Ajibike O. Salako-Akande, Wendy J. Lynch
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Relapse to drug use after abstinence is a major challenge in treating substance use disorder. Exposure to drug-associated cues during abstinence can trigger intense craving and precipitate relapse. New and more effective anti-relapse interve
Externí odkaz:
https://doaj.org/article/c3e66a772f5d431c98dffba88422e144
While distribution networks (DNs) turn from consumers to active and responsive intelligent DNs, the question of how to represent them in large-scale transmission network (TN) studies is still under investigation. The standard approach that uses aggre
Externí odkaz:
http://arxiv.org/abs/2207.03915
The gradual decommissioning of fossil fuel-driven power plants, that traditionally provide most operational flexibility in power systems, has led to more frequent grid stability issues. To compensate for the lack of flexible resources, Distributed En
Externí odkaz:
http://arxiv.org/abs/2205.09163
Autor:
Alexandrou, Antreas, Škola, Filip, Skarlatos, Dimitrios, Demesticha, Stella, Liarokapis, Fotis, Aristidou, Andreas
Publikováno v:
In Journal of Cultural Heritage November-December 2024 70:181-193
The electric power system is currently experiencing radical changes stemming from the increasing share of renewable energy resources and the consequent decommissioning of conventional power plants based on synchronous generators. Since the principal
Externí odkaz:
http://arxiv.org/abs/2202.09403
Publikováno v:
Computer Graphics Forum, Volume 41, Issue 8, 2022
Data-driven character animation techniques rely on the existence of a properly established model of motion, capable of describing its rich context. However, commonly used motion representations often fail to accurately encode the full articulation of
Externí odkaz:
http://arxiv.org/abs/2111.13907