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En este video, exploramos la increíble potencia de la NVIDIA RTX A6000 Ada Generation, una GPU con 48GB de memoria que no solo es ideal para Inteligencia Artificial (IA) y renderizado, sino que también puede manejar juegos y otras aplicaciones de alto rendimiento con facilidad.
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En este video, te explico cómo funciona la Inteligencia Artificial (IA) en tu GPU, destacando herramientas populares como Stable Diffusion, Blender, LM Studio, y Davinci Resolve. Verás cómo se aprovecha el poder de las GPUs para realizar tareas intensivas de IA y gráficos de manera eficiente y rápida.
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En este video te mostramos la GPU más potente del mundo, la Nvidia Blackwell, presentada durante el GTC 2024. Hicimos un emocionante viaje al evento para traerte toda la información de primera mano sobre este increíble hardware, que está revolucionando el mundo de la Inteligencia Artificial y los gráficos.
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In this post, we explore the implementation of NeRF (Neural Radiance Fields) using the power of Nvidia Jetson devices at Jetson AI Lab. NeRF is an innovative technique that enables 3D reconstruction from 2D images, revolutionizing how we perceive and render complex scenes.
Published in Understanding Social Behavior in Dyadic and Small Group Interactions, 2022
This survey defines the behavior forecasting problem for interactive agents, aiming to unify social signals prediction and human motion forecasting fields.
Recommended citation: German Barquero, Johnny Núnez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Didn’t see that coming: a survey on non-verbal social human behavior forecasting." Understanding Social Behavior in Dyadic and Small Group Interactions. 139-178.
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Published in , 2022
This supplementary material compares spatio-temporal models for human motion and pose forecasting in face-to-face interaction scenarios.
Recommended citation: German Barquero, Johnny Núnez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios: Supplementary Material."
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Published in Understanding Social Behavior in Dyadic and Small Group Interactions, 2022
This paper summarizes the 2021 ChaLearn Looking at People Challenge on Understanding Social Behavior in Dyadic and Small Group Interactions, covering two tracks: self-reported personality recognition and behavior forecasting.
Recommended citation: Cristina Palmero, German Barquero, Julio CS Jacques Junior, Albert Clapés, Johnny Núnez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B Moeslund, Isabelle Guyon, Sergio Escalera. (2022). "Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results." Understanding Social Behavior in Dyadic and Small Group Interactions. 4-52.
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Published in Universitat de Barcelona, 2022
This paper discusses spatio-temporal hand pose denoising models and their application in human pose estimation in video and image sequences.
Recommended citation: Johnny Núnez. (2022). "Comparison of Spatio-Temporal Hand Pose Denoising Models." Universitat de Barcelona.
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Published in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
This paper focuses on detecting loitering behavior using trajectory analysis and introduces a dataset with annotated loitering behaviors.
Recommended citation: Johnny Núnez, Zenjie Li, Sergio Escalera, Kamal Nasrollahi. (2024). "Identifying Loitering Behavior with Trajectory Analysis." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 251-259.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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