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20222025
most citedTowards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events

13 citations · 26 across the 5 of their papers we have counts for

collaborators

5 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…

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

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…