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20152025
most citedDescriptors and regions of interest fusion for gender classification in the wild. Comparison and combination with Convolutional Neural Networks

29 citations · 71 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CV2025

Modeling Cultural Bias in Facial Expression Recognition with Adaptive Agents

David Freire-Obregón, José Salas-Cáceres, Javier Lorenzo-Navarro +3

Facial expression recognition (FER) must remain robust under both cultural variation and perceptually degraded visual conditions, yet most existing evaluations assume homogeneous d…

cs.CV2025

Predicting Soccer Penalty Kick Direction Using Human Action Recognition

David Freire-Obregón, Oliverio J. Santana, Javier Lorenzo-Navarro +2

Action anticipation has become a prominent topic in Human Action Recognition (HAR). However, its application to real-world sports scenarios remains limited by the availability of s…

cs.CV2025

An Evaluation of a Visual Question Answering Strategy for Zero-shot Facial Expression Recognition in Still Images

Modesto Castrillón-Santana, Oliverio J Santana, David Freire-Obregón +2

Facial expression recognition (FER) is a key research area in computer vision and human-computer interaction. Despite recent advances in deep learning, challenges persist, especial…

eess.SP2024★ 5 cited

Towards Bi-Hemispheric Emotion Mapping through EEG: A Dual-Stream Neural Network Approach

David Freire-Obregón, Daniel Hernández-Sosa, Oliverio J. Santana +2

Emotion classification through EEG signals plays a significant role in psychology, neuroscience, and human-computer interaction. This paper addresses the challenge of mapping human…

cs.CV2023★ 5 cited

A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point

David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana +2

Re-identifying participants in ultra-distance running competitions can be daunting due to the extensive distances and constantly changing terrain. To overcome these challenges, com…

cs.CV2023★ 3 cited

Classifying Soccer Ball-on-Goal Position Through Kicker Shooting Action

Javier Torón-Artiles, Daniel Hernández-Sosa, Oliverio J. Santana +2

This research addresses whether the ball's direction after a soccer free-kick can be accurately predicted solely by observing the shooter's kicking technique. To investigate this,…

cs.CV2023★ 5 cited

An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment

David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana +2

We present a transfer learning analysis on a sporting environment of the expanded 3D (X3D) neural networks. Inspired by action quality assessment methods in the literature, our met…

cs.CV2022★ 13 cited

Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events

David Freire-Obregón, Javier Lorenzo-Navarro, Oliverio J. Santana +2

Predicting an athlete's performance based on short footage is highly challenging. Performance prediction requires high domain knowledge and enough evidence to infer an appropriate…

cs.CV2022★ 1 cited

Decontextualized I3D ConvNet for ultra-distance runners performance analysis at a glance

David Freire-Obregón, Javier Lorenzo-Navarro, Modesto Castrillón-Santana

In May 2021, the site runnersworld.com published that participation in ultra-distance races has increased by 1,676% in the last 23 years. Moreover, nearly 41% of those runners part…

cs.CV2016★ 10 cited

Comparative study of histogram distance measures for re-identification

Pedro A. Marín-Reyes, Javier Lorenzo-Navarro, Modesto Castrillón-Santana

Color based re-identification methods usually rely on a distance function to measure the similarity between individuals. In this paper we study the behavior of several histogram di…

cs.CV2016

Optimized clothes segmentation to boost gender classification in unconstrained scenarios

D. Freire-Obregón, M. Castrillón-Santana, J. Lorenzo-Navarro

Several applications require demographic information of ordinary people in unconstrained scenarios. This is not a trivial task due to significant human appearance variations. In th…

cs.CV2015★ 29 cited

Descriptors and regions of interest fusion for gender classification in the wild. Comparison and combination with Convolutional Neural Networks

M. Castrillón-Santana, J. Lorenzo-Navarro, E. Ramón-Balmaseda

Gender classification (GC) has achieved high accuracy in different experimental evaluations based mostly on inner facial details. However, these results do not generalize well in u…