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Author
Title
Year
Publication
Volume
Pages
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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
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
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
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
David Vazquez; Jorge Bernal; F. Javier Sanchez; Gloria Fernandez Esparrach; Antonio Lopez; Adriana Romero; Michal Drozdzal; Aaron Courville
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
2017
31st International Congress and Exhibition on Computer Assisted Radiology and Surgery
Dennis G.Romero; Anselmo Frizera; Angel Sappa; Boris X. Vintimilla; Teodiano F.Bastos
A predictive model for human activity recognition by observing actions and context
2015
Advanced Concepts for Intelligent Vision Systems, Proceedings of 16th International Conference, ACIVS 2015
9386
323-333
Diego Alejandro Cheda; Daniel Ponsa; Antonio Lopez
Camera Egomotion Estimation in the ADAS Context
2010
13th International IEEE Annual Conference on Intelligent Transportation Systems
1415–1420
Diego Cheda; Daniel Ponsa; Antonio Lopez
Monocular Egomotion Estimation based on Image Matching
2012
1st International Conference on Pattern Recognition Applications and Methods
425-430
Diego Cheda; Daniel Ponsa; Antonio Lopez
Monocular Depth-based Background Estimation
2012
7th International Conference on Computer Vision Theory and Applications
323-328
Diego Cheda; Daniel Ponsa; Antonio Lopez
Pedestrian Candidates Generation using Monocular Cues
2012
IEEE Intelligent Vehicles Symposium
7-12
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