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María Elena Buemi
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Últimas Novedades
Ver todas las novedades →Presentación de poster en el Third Joint Egocentric Vision (EgoVis) Workshop (CVPR2026) por Juan Ignacio Bustos Gorostegui
Ver la novedad completaDesarrollo de una base de datos geoespacial de alta resolución para la estimación de la huella hídrica del cultivo de maíz en Argentina.
La cuantificación de los requerimientos hídricos de los cultivos es fundamental para evaluar la sostenibilidad de los sistemas agrícolas. En este trabajo se desarrolló una base de datos...
Artículos Destacados
Explorar todos los artículos →Event-based Liveness Detection using Temporal Ocular Dynamics: An Exploratory Approach
Face liveness detection has been extensively studied using RGB cameras, achieving strong performance under controlled conditions but often failing to generalize across sensors and attack scenarios. In this work, we explore event cameras as an alternative sensing modality for liveness detection based on temporal ocular dynamics...
Leer artículo completoClimate Change and Integrated Resource Management: A Multi-Scale Modeling Framework for Water and Food Security in Argentina
This paper presents the construction and an application of SIMPLE-G-AR, the first spatially explicit, gridded partial equilibrium model of agricultural production and water use calibrated for Argentina. Argentina is a major global food exporter whose agricultural sector is highly exposed to climate variability: only 5.2 percent of cropland relies on artificial irrigation, while recurrent droughts such as the 2022–2023 La Niña event caused export declines of 38 percent in primary products and 27 percent in agro-industrial manufactures...
Leer artículo completoCross-Modal Action Recognition in Egocentric Video Using Mamba: Integrating RGB and Hand Skeleton Streams via CLS Token Fusion Strategies
Egocentric action recognition is a challenging task due to erratic camera motion, frequent hand occlusion, and the difficulty of maintaining consistent visual representations over time. In this work, we propose a cross-modal architecture that combines RGB video and temporal hand skeleton data within a unified Mamba-based framework, exploiting the linear time complexity of State Space Models (SSMs)...
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