Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Rezaeifar P"'
Autor:
Hewitt, Charlie, Saleh, Fatemeh, Aliakbarian, Sadegh, Petikam, Lohit, Rezaeifar, Shideh, Florentin, Louis, Hosenie, Zafiirah, Cashman, Thomas J, Valentin, Julien, Cosker, Darren, Baltrusaitis, Tadas
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typically focus only on face, body or hand capture independently, involve
Externí odkaz:
http://arxiv.org/abs/2410.11520
Publikováno v:
International Journal of Digital Content Management, Vol 5, Iss 9, Pp 205-235 (2024)
Purpose: The purpose of this study was to prioritize the factors affecting consumer-buying behavior in online social media marketing.Method: The analysis and validation of indicators were conducted using the mixed method of structural equation modeli
Externí odkaz:
https://doaj.org/article/8080e4a612a642e585de3982bacd16e4
Autor:
Garbin, Stephan J., Kowalski, Marek, Estellers, Virginia, Szymanowicz, Stanislaw, Rezaeifar, Shideh, Shen, Jingjing, Johnson, Matthew, Valentin, Julien
The recent increase in popularity of volumetric representations for scene reconstruction and novel view synthesis has put renewed focus on animating volumetric content at high visual quality and in real-time. While implicit deformation methods based
Externí odkaz:
http://arxiv.org/abs/2208.00949
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
This study aimed to assess plasma galectin-9 (Gal-9) and artemin (ARTN) concentrations as potential biomarkers to differentiate individuals with Long COVID (LC) patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) from SARS-CoV-2
Externí odkaz:
https://doaj.org/article/74cc9b2219d44401986cc6f618a6974c
Publikováno v:
Journal of Agricultural Machinery, Vol 14, Iss 1, Pp 15-34 (2024)
In the quest for enhanced anaerobic digestion (AD) performance and stability, iron-based additives as micro-nutrients and drinking water treatment sludge (DWTS) emerge as key players. This study investigates the kinetics of methane production during
Externí odkaz:
https://doaj.org/article/ec5ff6c45e904f47af9747370d642cdf
Autor:
Roghieh Golsha, Mahdi Mazandarani, Ahmad Sohrabi, Hesamaddin Shirzad-Aski, Hamidreza Kamalinia, Atefeh Rezaeifar, Mandana Fattahi
Publikováno v:
Caspian Journal of Internal Medicine, Vol 15, Iss 2, Pp 347-353 (2024)
Background: It is essential to constantly review the risk factors and treatment outcomes of tuberculosis (TB). This study evaluated some important risk factors of TB over five years. Methods: Between 2013 and 2018, all available information and possi
Externí odkaz:
https://doaj.org/article/96e4af1063a74e1f99d0891e18390670
Autor:
Rezaeifar, Shideh, Dadashi, Robert, Vieillard, Nino, Hussenot, Léonard, Bachem, Olivier, Pietquin, Olivier, Geist, Matthieu
Offline Reinforcement Learning (RL) aims at learning an optimal control from a fixed dataset, without interactions with the system. An agent in this setting should avoid selecting actions whose consequences cannot be predicted from the data. This is
Externí odkaz:
http://arxiv.org/abs/2106.06431
Autor:
Dadashi, Robert, Rezaeifar, Shideh, Vieillard, Nino, Hussenot, Léonard, Pietquin, Olivier, Geist, Matthieu
Offline Reinforcement Learning methods seek to learn a policy from logged transitions of an environment, without any interaction. In the presence of function approximation, and under the assumption of limited coverage of the state-action space of the
Externí odkaz:
http://arxiv.org/abs/2103.01948
Akademický článek
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Autor:
Voloshynovskiy, Slava, Kondah, Mouad, Rezaeifar, Shideh, Taran, Olga, Holotyak, Taras, Rezende, Danilo Jimenez
Information bottleneck (IB) principle [1] has become an important element in information-theoretic analysis of deep models. Many state-of-the-art generative models of both Variational Autoencoder (VAE) [2; 3] and Generative Adversarial Networks (GAN)
Externí odkaz:
http://arxiv.org/abs/1912.00830