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Listar por autor "Castro Payan, Francisco Manuel"
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End-to-end Incremental Learning
Castro Payan, Francisco Manuel; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Schmid, Cordelia; Alahari, Karteek (2018-07-06)
Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from (catastrophic forgetting), a dramatic decrease in overall performance when training with ... -
Gait recognition from multiple view-points
Castro Payan, Francisco Manuel (UMA Editorial, 2018-11-15)Arquitectura de Computadores Resumen tesis: La identificación automática de personas está ganando mucha importancia en los últimos años ya que se puede aplicar en entornos que deben ser seguros (aeropuertos, centrales ... -
Multimodal Human Pose Feature Fusion for Gait Recognition.
Cubero, Nicolás; Castro Payan, Francisco Manuel; Ramos-Cózar, Julián; Guil-Mata, Nicolás
; Marín Jiménez, Manuel Jesús (2023)
Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or ... -
Real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance.
Object localization is vital in computer vision to solve object detection or classification problems. Typically, this task is performed on expensive GPU devices, but edge computing is gaining importance in real-time ... -
A weakly-supervised approach for discovering common objects in airport video surveillance footage
Castro Payan, Francisco Manuel; Delgado-Escaño, Rubén; Guil-Mata, Nicolás; Marín-Jiménez, Manuel J. (2019-07-22)
Object detection in video is a relevant task in computer vision. Standard and current detectors are typically trained in a strongly supervised way, what requires a huge amount of labelled data. In contrast, in this paper ...