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pro vyhledávání: '"Sosa, Jose"'
Autor:
Sosa, Jose, Aloulou, Mohamed, Rukhovich, Danila, Sleimi, Rim, Changaival, Boonyarit, Kacem, Anis, Aouada, Djamila
Self-supervised pre-training has proven highly effective for many computer vision tasks, particularly when labelled data are scarce. In the context of Earth Observation (EO), foundation models and various other Vision Transformer (ViT)-based approach
Externí odkaz:
http://arxiv.org/abs/2409.18536
Autor:
Sosa, Jose, Hogg, David
Obtaining labelled data to train deep learning methods for estimating animal pose is challenging. Recently, synthetic data has been widely used for pose estimation tasks, but most methods still rely on supervised learning paradigms utilising syntheti
Externí odkaz:
http://arxiv.org/abs/2308.03411
Numerous fields, such as ecology, biology, and neuroscience, use animal recordings to track and measure animal behaviour. Over time, a significant volume of such data has been produced, but some computer vision techniques cannot explore it due to the
Externí odkaz:
http://arxiv.org/abs/2307.13361
Autor:
Sosa, Jose, Hogg, David
We propose a new self-supervised method for predicting 3D human body pose from a single image. The prediction network is trained from a dataset of unlabelled images depicting people in typical poses and a set of unpaired 2D poses. By minimising the n
Externí odkaz:
http://arxiv.org/abs/2304.02349
Autor:
Sosa, Jose, Sharoff, Serge
The paper presents the outcomes of AI-COVID19, our project aimed at better understanding of misinformation flow about COVID-19 across social media platforms. The specific focus of the study reported in this paper is on collecting data from Telegram g
Externí odkaz:
http://arxiv.org/abs/2204.12690
Publikováno v:
In Composites Communications November 2024 51
Publikováno v:
In Journal of Endodontics May 2024 50(5):637-643
Autor:
Gomez-Sosa, Jose Francisco, Cardier, José E., Wittig, Olga, Díaz-Solano, Dylana, Lara, Eloisa, Duque, Kharelys, Ramos-González, Giselle
Publikováno v:
In Journal of Endodontics April 2024 50(4):483-492
Publikováno v:
In Thin-Walled Structures October 2023 191
Publikováno v:
In Defence Technology September 2023 27:217-236