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2013

Jiaolong Xu, David Vazquez, Antonio Lopez, Javier Marin and Daniel Ponsa. 2013. Learning a Multiview Part-based Model in Virtual World for Pedestrian Detection. IEEE Intelligent Vehicles Symposium. IEEE, 467–472.
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Jiaolong Xu, David Vazquez, Sebastian Ramos, Antonio Lopez and Daniel Ponsa. 2013. Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. CVPR Workshop on Ground Truth – What is a good dataset?.688–693.
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Jiaolong Xu, Sebastian Ramos, David Vazquez and Antonio Lopez. 2013. DA-DPM Pedestrian Detection. ICCV Workshop on Reconstruction meets Recognition.
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Jiaolong Xu, Sebastian Ramos, Xu Hu, David Vazquez and Antonio Lopez. 2013. Multi-task Bilinear Classifiers for Visual Domain Adaptation. Advances in Neural Information Processing Systems Workshop.
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Jose Manuel Alvarez, Theo Gevers and Antonio Lopez. 2013. Evaluating Color Representation for Online Road Detection. ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars.594–595.
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Katerine Diaz, Francesc J. Ferri and W. Diaz. 2013. Fast Approximated Discriminative Common Vectors using rank-one SVD updates. 20th International Conference On Neural Information Processing. Springer Berlin Heidelberg, 368–375. (LNCS.)
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Marcelo D. Pistarelli, Angel Sappa and Ricardo Toledo. 2013. Multispectral Stereo Image Correspondence. 15th International Conference on Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 217–224. (LNCS.)
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Naveen Onkarappa and Angel Sappa. 2013. Laplacian Derivative based Regularization for Optical Flow Estimation in Driving Scenario. 15th International Conference on Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 483–490. (LNCS.)
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Patricia Marquez, Debora Gil and Aura Hernandez-Sabate. 2013. Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality. ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars.624–631.
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Patricia Marquez, Debora Gil, Aura Hernandez-Sabate and Daniel Kondermann. 2013. When Is A Confidence Measure Good Enough? 9th International Conference on Computer Vision Systems. Springer Link, 344–353. (LNCS.)
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