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

13 citations · 29 across the 5 of their papers we have counts for

collaborators

5 papers

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★ 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…