activity
20162024
most citedTowards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events

13 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Transfer Learning from Simulated to Real Scenes for Monocular 3D Object Detection

Sondos Mohamed, Walter Zimmer, Ross Greer +6

Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditi…

cs.CV20235 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.CV202213 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.CV201610 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…