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Author
Title
Year
Publication
Volume
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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
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
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
Diego Porres
Discriminator Synthesis: On reusing the other half of Generative Adversarial Networks
2021
Machine Learning for Creativity and Design, Neurips Workshop
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
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
Zhijie Fang; Antonio Lopez
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation
2018
IEEE Intelligent Vehicles Symposium
1271 - 1276
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
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
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