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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
Ariel Amato; Angel Sappa; Alicia Fornes; Felipe Lumbreras; Josep Llados Divide and Conquer: Atomizing and Parallelizing A Task in A Mobile Crowdsourcing Platform 2013 2nd International ACM Workshop on Crowdsourcing for Multimedia 21-22 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 Porres Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks 2021 Machine Learning for Creativity and Design, Neurips Workshop details   pdf url
Felipe Codevilla; Antonio Lopez; Vladlen Koltun; Alexey Dosovitskiy On Offline Evaluation of Vision-based Driving Models 2018 15th European Conference on Computer Vision 11219 246-262 details   pdf url
Felipe Codevilla; Eder Santana; Antonio Lopez; Adrien Gaidon Exploring the Limitations of Behavior Cloning for Autonomous Driving 2019 18th IEEE International Conference on Computer Vision 9328-9337 details   pdf doi
Lorenzo Porzi; Markus Hofinger; Idoia Ruiz; Joan Serrat; Samuel Rota Bulo; Peter Kontschieder Learning Multi-Object Tracking and Segmentation from Automatic Annotations 2020 33rd IEEE Conference on Computer Vision and Pattern Recognition 6845-6854 details   pdf doi
Zhijie Fang; Antonio Lopez Is the Pedestrian going to Cross? Answering by 2D Pose Estimation 2018 IEEE Intelligent Vehicles Symposium 1271 - 1276 details   pdf doi
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
Akhil Gurram; Onay Urfalioglu; Ibrahim Halfaoui; Fahd Bouzaraa; Antonio Lopez Monocular Depth Estimation by Learning from Heterogeneous Datasets 2018 IEEE Intelligent Vehicles Symposium 2176 - 2181 details   pdf doi
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