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Antonio M. López

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All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes

Dec 19, 2023
Jose L. Gómez, Manuel Silva, Antonio Seoane, Agnès Borrás, Mario Noriega, Germán Ros, Jose A. Iglesias-Guitian, Antonio M. López

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CARLA-BSP: a simulated dataset with pedestrians

Apr 29, 2023
Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz

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Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models

May 31, 2022
Jose L. Gómez, Gabriel Villalonga, Antonio M. López

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Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches

Apr 23, 2021
Jose L. Gómez, Gabriel Villalonga, Antonio M. López

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Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision

Mar 22, 2021
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López

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Active Learning for Deep Detection Neural Networks

Nov 20, 2019
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López

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Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation

Oct 09, 2019
Zhijie Fang, Antonio M. López

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Multimodal End-to-End Autonomous Driving

Jun 07, 2019
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López

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Exploring the Limitations of Behavior Cloning for Autonomous Driving

Apr 18, 2019
Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon

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On Offline Evaluation of Vision-based Driving Models

Sep 13, 2018
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy

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