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LABORATORIO DE IMÁGENES Y VISIÓN

Artículos Publicados

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...

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Climate 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...

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Cross-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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Event-based facial microexpression analysis using Spiking Neural Networks

Microexpression analysis plays a key role in many applications such as those in Human-Robot Interaction and Driving Monitoring Systems (DMS). However, robust and fast detection of subtle facial micro-movements in-the-wild still remains a significant challenge for standard RGB cameras...

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Viabilidad de búsqueda de parentesco en Problema Inverso Familiar

El reconocimiento familiar a partir de imágenes faciales es una tarea desafiante que amplía la verificación facial tradicional al incorporar variaciones genéticas y generacionales. Mientras que los enfoques existentes, como los explorados en el desafío Recognizing Families In the Wild (RFIW), se centran en verificar relaciones familiares en una dirección temporal lineal (comparando mayormente padres con hijos jóvenes), nuestra investigación aborda un problema inverso: la identificación de hijos mediante la comparación de adultos con versiones más jóvenes de sus padres...

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Combined use of radiomics and artificial neural networks for the three-dimensional automatic segmentation of glioblastoma multiforme

Glioblastoma multiforme (GBM) is the most prevalent and agressive primary brain tumour that has the worst prognosis in adults. Currently, the automatic segmentation of this kind of tumour is being intensively studied. Here, the automatic three-dimensional segmentation of the GBM is achieved with its related subzones (active tumour, inner necrosis, and peripheral oedema)...

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