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Author
Title
Year
Publication
Volume
Pages
Links
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
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
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
Diego Porres
Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks
2021
Machine Learning for Creativity and Design, Neurips Workshop
Yi Xiao; Felipe Codevilla; Christopher Pal; Antonio Lopez
Action-Based Representation Learning for Autonomous Driving
2020
Conference on Robot Learning
Idoia Ruiz; Lorenzo Porzi; Samuel Rota Bulo; Peter Kontschieder; Joan Serrat
Weakly Supervised Multi-Object Tracking and Segmentation
2021
IEEE Winter Conference on Applications of Computer Vision Workshops
125-133
Idoia Ruiz; Joan Serrat
Rank-based ordinal classification
2020
25th International Conference on Pattern Recognition
8069-8076
Yi Xiao; Felipe Codevilla; Diego Porres; Antonio Lopez
Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning
2023
International Conference on Intelligent Robots and Systems
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth
2011
IEEE International Conference on Computer Vision – Workshops
2042-2049
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie
Inferring the Performance of Medical Imaging Algorithms
2011
14th International Conference on Computer Analysis of Images and Patterns
6854
520-528
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