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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 details   pdf isbn
Angel Sappa; Mohammad Rouhani Efficient Distance Estimation for Fitting Implicit Quadric Surfaces 2009 16th IEEE International Conference on Image Processing 3521–3524 details   doi
German Ros; Jesus Martinez del Rincon; Gines Garcia-Mateos Articulated Particle Filter for Hand Tracking 2012 21st International Conference on Pattern Recognition 3581 - 3585 details   pdf url
Hamed H. Aghdam; Abel Gonzalez-Garcia; Joost Van de Weijer; Antonio Lopez Active Learning for Deep Detection Neural Networks 2019 18th IEEE International Conference on Computer Vision 3672-3680 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
R. de Nijs; Sebastian Ramos; Gemma Roig; Xavier Boix; Luc Van Gool; K. Kühnlenz. On-line Semantic Perception Using Uncertainty 2012 International Conference on Intelligent Robots and Systems 4185-4191 details   pdf openurl
Jaume Amores Vocabulary-based Approaches for Multiple-Instance Data: a Comparative Study 2010 20th International Conference on Pattern Recognition 4246–4250 details   doi
Jose Manuel Alvarez; Ferran Diego; Joan Serrat; Antonio Lopez Automatic Ground-truthing using video registration for on-board detection algorithms 2009 16th IEEE International Conference on Image Processing 4389 - 4392 details   pdf doi
Felipe Codevilla; Matthias Muller; Antonio Lopez; Vladlen Koltun; Alexey Dosovitskiy End-to-end Driving via Conditional Imitation Learning 2018 IEEE International Conference on Robotics and Automation 4693 - 4700 details   pdf doi
Jiaolong Xu; David Vazquez; Krystian Mikolajczyk; Antonio Lopez Hierarchical online domain adaptation of deformable part-based models 2016 IEEE International Conference on Robotics and Automation 5536-5541 details   pdf doi
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