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Author
Title
Year
Publication
Volume
Pages
Links
Jiaolong Xu; David Vazquez; Antonio Lopez; Javier Marin; Daniel Ponsa
Learning a Part-based Pedestrian Detector in Virtual World
2014
IEEE Transactions on Intelligent Transportation Systems
15
2121-2131
Jose Manuel Alvarez; Antonio Lopez; Theo Gevers; Felipe Lumbreras
Combining Priors, Appearance and Context for Road Detection
2014
IEEE Transactions on Intelligent Transportation Systems
15
1168-1178
Antonio Lopez; Joan Serrat; Cristina Cañero; Felipe Lumbreras; T. Graf
Robust lane markings detection and road geometry computation
2010
International Journal of Automotive Technology
11
395–407
David Geronimo; Angel Sappa; Daniel Ponsa; Antonio Lopez
2D-3D based on-board pedestrian detection system
2010
Computer Vision and Image Understanding
114
583–595
Katerine Diaz; Aura Hernandez-Sabate; Antonio Lopez
A reduced feature set for driver head pose estimation
2016
Applied Soft Computing
45
98-107
Hannes Mueller; Andre Groeger; Jonathan Hersh; Andrea Matranga; Joan Serrat
Monitoring war destruction from space using machine learning
2021
Proceedings of the National Academy of Sciences of the United States of America
118
e2025400118
Cristhian Aguilera; Fernando Barrera; Felipe Lumbreras; Angel Sappa; Ricardo Toledo
Multispectral Image Feature Points
2012
Sensors
12
12661-12672
M. Altillawi; S. Li; S.M. Prakhya; Z. Liu; Joan Serrat
Implicit Learning of Scene Geometry From Poses for Global Localization
2024
IEEE Robotics and Automation Letters
9
955-962
Joan Marc Llargues Asensio; Juan Peralta; Raul Arrabales; Manuel Gonzalez Bedia; Paulo Cortez; Antonio Lopez
Artificial Intelligence Approaches for the Generation and Assessment of Believable Human-Like Behaviour in Virtual Characters
2014
Expert Systems With Applications
41
7281–7290
J.S. Cope; P.Remagnino; S.Mannan; Katerine Diaz; Francesc J. Ferri; P.Wilkin
Reverse Engineering Expert Visual Observations: From Fixations To The Learning Of Spatial Filters With A Neural-Gas Algorithm
2013
Expert Systems with Applications
40
6707-6712
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