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Author
Title
Year
Publication
Volume
Pages
Links
Arnau Ramisa; Shrihari Vasudevan; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras
Evaluation of the SIFT Object Recognition Method in Mobile Robots: Frontiers in Artificial Intelligence and Applications
2009
12th International Conference of the Catalan Association for Artificial Intelligence
202
9-18
German Ros; J. Guerrero; Angel Sappa; Antonio Lopez
VSLAM pose initialization via Lie groups and Lie algebras optimization
2013
Proceedings of IEEE International Conference on Robotics and Automation
5740 - 5747
Jaume Amores
Vocabulary-based Approaches for Multiple-Instance Data: a Comparative Study
2010
20th International Conference on Pattern Recognition
4246–4250
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
Jose Carlos Rubio; Joan Serrat; Antonio Lopez; N. Paragios
Image Contextual Representation and Matching through Hierarchies and Higher Order Graphs
2012
21st International Conference on Pattern Recognition
2664 - 2667
German Ros; Jesus Martinez del Rincon; Gines Garcia-Mateos
Articulated Particle Filter for Hand Tracking
2012
21st International Conference on Pattern Recognition
3581 - 3585
Jiaolong Xu; Sebastian Ramos;David Vazquez; Antonio Lopez
Cost-sensitive Structured SVM for Multi-category Domain Adaptation
2014
22nd International Conference on Pattern Recognition
3886 - 3891
Jose Manuel Alvarez; Theo Gevers; Antonio Lopez
Learning Photometric Invariance from Diversified Color Model Ensembles
2009
22nd IEEE Conference on Computer Vision and Pattern Recognition
565–572
Josep M. Gonfaus; Xavier Boix; Joost Van de Weijer; Andrew Bagdanov; Joan Serrat; Jordi Gonzalez
Harmony Potentials for Joint Classification and Segmentation
2010
23rd IEEE Conference on Computer Vision and Pattern Recognition
3280–3287
Jose Manuel Alvarez; Theo Gevers; Antonio Lopez
3D Scene Priors for Road Detection
2010
23rd IEEE Conference on Computer Vision and Pattern Recognition
57–64
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