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2021

Diego Porres. 2021. Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks. Machine Learning for Creativity and Design, Neurips Workshop.
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Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulo, Peter Kontschieder and Joan Serrat. 2021. Weakly Supervised Multi-Object Tracking and Segmentation. IEEE Winter Conference on Applications of Computer Vision Workshops.125–133.
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2020

Idoia Ruiz and Joan Serrat. 2020. Rank-based ordinal classification. 25th International Conference on Pattern Recognition.8069–8076.
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Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulo and Peter Kontschieder. 2020. Learning Multi-Object Tracking and Segmentation from Automatic Annotations. 33rd IEEE Conference on Computer Vision and Pattern Recognition.6845–6854.
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Yi Xiao, Felipe Codevilla, Christopher Pal and Antonio Lopez. 2020. Action-Based Representation Learning for Autonomous Driving. Conference on Robot Learning.
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2019

Chris Bahnsen, David Vazquez, Antonio Lopez and Thomas B. Moeslund. 2019. Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data. 14th International Conference on Computer Vision Theory and Applications.123–130.
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Felipe Codevilla, Eder Santana, Antonio Lopez and Adrien Gaidon. 2019. Exploring the Limitations of Behavior Cloning for Autonomous Driving. 18th IEEE International Conference on Computer Vision.9328–9337.
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Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost Van de Weijer and Antonio Lopez. 2019. Active Learning for Deep Detection Neural Networks. 18th IEEE International Conference on Computer Vision.3672–3680.
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Javad Zolfaghari Bengar and 7 others. 2019. Temporal Coherence for Active Learning in Videos. IEEE International Conference on Computer Vision Workshops.914–923.
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Jiaolong Xu, Peng Wang, Heng Yang and Antonio Lopez. 2019. Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving. IEEE International Conference on Robotics and Automation.2379–2384.
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