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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 details   pdf doi
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 details   pdf doi
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 details   pdf doi
Fahad Shahbaz Khan; Muhammad Anwer Rao; Joost Van de Weijer; Andrew Bagdanov; Maria Vanrell; Antonio Lopez Color Attributes for Object Detection 2012 25th IEEE Conference on Computer Vision and Pattern Recognition 3306-3313 details   pdf doi
Diego Cheda; Daniel Ponsa; Antonio Lopez Pedestrian Candidates Generation using Monocular Cues 2012 IEEE Intelligent Vehicles Symposium 7-12 details   pdf doi
Naveen Onkarappa; Angel Sappa An Empirical Study on Optical Flow Accuracy Depending on Vehicle Speed 2012 IEEE Intelligent Vehicles Symposium 1138-1143 details   pdf doi
Miguel Oliveira; Angel Sappa; V. Santos Color Correction for Onboard Multi-camera Systems using 3D Gaussian Mixture Models 2012 IEEE Intelligent Vehicles Symposium 299-303 details   pdf doi
Jose Carlos Rubio; Joan Serrat; Antonio Lopez Unsupervised co-segmentation through region matching 2012 25th IEEE Conference on Computer Vision and Pattern Recognition 749-756 details   pdf doi
David Aldavert; Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo Real-time Object Segmentation using a Bag of Features Approach 2010 13th International Conference of the Catalan Association for Artificial Intelligence 220 321–329 details   url
Muhammad Anwer Rao; David Vazquez; Antonio Lopez Opponent Colors for Human Detection 2011 5th Iberian Conference on Pattern Recognition and Image Analysis 6669 363-370 details   pdf doi
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