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Author
Title
Year
Publication
Volume
Pages
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Felipe Codevilla; Matthias Muller; Antonio Lopez; Vladlen Koltun; Alexey Dosovitskiy
End-to-end Driving via Conditional Imitation Learning
2018
IEEE International Conference on Robotics and Automation
4693 - 4700
Marc Masana; Idoia Ruiz; Joan Serrat; Joost Van de Weijer; Antonio Lopez
Metric Learning for Novelty and Anomaly Detection
2018
29th British Machine Vision Conference
Xialei Liu; Marc Masana; Luis Herranz; Joost Van de Weijer; Antonio Lopez; Andrew Bagdanov
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting
2018
24th International Conference on Pattern Recognition
2262-2268
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
Gema Rotger; Felipe Lumbreras; Francesc Moreno-Noguer; Antonio Agudo
2D-to-3D Facial Expression Transfer
2018
24th International Conference on Pattern Recognition
2008 - 2013
Chris Bahnsen; David Vazquez; Antonio Lopez; Thomas B. Moeslund
Learning to Remove Rain in Traffic Surveillance by Using Synthetic Data
2019
14th International Conference on Computer Vision Theory and Applications
123-130
Javad Zolfaghari Bengar; Abel Gonzalez-Garcia; Gabriel Villalonga; Bogdan Raducanu; Hamed H. Aghdam; Mikhail Mozerov; Antonio Lopez; Joost Van de Weijer
Temporal Coherence for Active Learning in Videos
2019
IEEE International Conference on Computer Vision Workshops
914-923
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
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