Search Results for author: Francisco Florez-Revuelta

Found 4 papers, 0 papers with code

Weakly Supervised Human Skin Segmentation using Guidance Attention Mechanisms

no code implementations9 Feb 2023 Kooshan Hashemifard, Pau Climent-Perez, Francisco Florez-Revuelta

The proposed method incorporates two attention modules, Body Attention and Skin Attention, that utilize contextual information to improve segmentation results.

Segmentation

Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms

no code implementations12 Jan 2023 Sophie Noiret, Siddharth Ravi, Martin Kampel, Francisco Florez-Revuelta

As the privacy risks posed by camera surveillance and facial recognition have grown, so has the research into privacy preservation algorithms.

Fairness

State of the Art of Audio- and Video-Based Solutions for AAL

no code implementations26 Jun 2022 Slavisa Aleksic, Michael Atanasov, Jean Calleja Agius, Kenneth Camilleri, Anto Cartolovni, Pau Climent-Peerez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Ekrem Erakin, Francisco Florez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, Maria Jose Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank

The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation.

Gesture Recognition

EvoSplit: An evolutionary approach to split a multi-label data set into disjoint subsets

no code implementations11 Feb 2021 Francisco Florez-Revuelta

This paper presents a new evolutionary approach, EvoSplit, for the distribution of multi-label data sets into disjoint subsets for supervised machine learning.

BIG-bench Machine Learning

Cannot find the paper you are looking for? You can Submit a new open access paper.