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Author
Title
Year
Publication
Volume
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Chris Bahnsen; David Vazquez; Antonio Lopez; Thomas B. Moeslund
Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data
2019
14th International Conference on Computer Vision Theory and Applications
123-130
Enric Marti; Debora Gil; Carme Julia
A PBL experience in the teaching of Computer Graphics
2005
EUROGRAPHICS Proceedings
5
95-103
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin
Cool world: domain adaptation of virtual and real worlds for human detection using active learning
2011
NIPS Domain Adaptation Workshop: Theory and Application
Jiaolong Xu; David Vazquez; Antonio Lopez; Javier Marin; Daniel Ponsa
Learning a Multiview Part-based Model in Virtual World for Pedestrian Detection
2013
IEEE Intelligent Vehicles Symposium
467 - 472
Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez
Incremental Domain Adaptation of Deformable Part-based Models
2014
25th British Machine Vision Conference
David Vazquez; Antonio Lopez; Daniel Ponsa; Javier Marin
Virtual Worlds and Active Learning for Human Detection
2011
13th International Conference on Multimodal Interaction
393-400
Victor Campmany; Sergio Silva; Juan Carlos Moure; Toni Espinosa; David Vazquez; Antonio Lopez
GPU-based pedestrian detection for autonomous driving
2016
GPU Technology Conference
David Vazquez; Antonio Lopez; Daniel Ponsa
Unsupervised Domain Adaptation of Virtual and Real Worlds for Pedestrian Detection
2012
21st International Conference on Pattern Recognition
3492 - 3495
Javier Marin; David Vazquez; David Geronimo; Antonio Lopez
Learning Appearance in Virtual Scenarios for Pedestrian Detection
2010
23rd IEEE Conference on Computer Vision and Pattern Recognition
137–144
David Vazquez; Jiaolong Xu; Sebastian Ramos; Antonio Lopez; Daniel Ponsa
Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes
2013
CVPR Workshop on Ground Truth – What is a good dataset?
706 - 711
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