activity
20162025
most citedDeep learning for source camera identification on mobile devices

129 citations · 156 across the 8 of their papers we have counts for

collaborators

8 papers

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…

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★ 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★ 3 cited

Deep Learning for Diagonal Earlobe Crease Detection

Sara L. Almonacid-Uribe, Oliverio J. Santana, Daniel Hernández-Sosa +1

An article published on Medical News Today in June 2022 presented a fundamental question in its title: Can an earlobe crease predict heart attacks? The author explained that end ar…

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…