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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
Jiaolong Xu; Sebastian Ramos; Xu Hu; David Vazquez; Antonio Lopez Multi-task Bilinear Classifiers for Visual Domain Adaptation 2013 Advances in Neural Information Processing Systems Workshop details   pdf openurl
Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez Incremental Domain Adaptation of Deformable Part-based Models 2014 25th British Machine Vision Conference details   pdf doi
Jiaolong Xu; Sebastian Ramos; David Vazquez; Antonio Lopez DA-DPM Pedestrian Detection 2013 ICCV Workshop on Reconstruction meets Recognition details   openurl
Jiaolong Xu; Peng Wang; Heng Yang; Antonio Lopez Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving 2019 IEEE International Conference on Robotics and Automation 2379-2384 details   pdf doi
Jiaolong Xu; David Vazquez; Sebastian Ramos; Antonio Lopez; Daniel Ponsa Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers 2013 CVPR Workshop on Ground Truth – What is a good dataset? 688 - 693 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
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
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 details   pdf doi
Javier Marin; David Vazquez; Antonio Lopez; Jaume Amores; Bastian Leibe Random Forests of Local Experts for Pedestrian Detection 2013 15th IEEE International Conference on Computer Vision 2592 - 2599 details   pdf doi
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