Felipe Codevilla

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 18

Top Topics

Imitation Learning

Underwater Images

Autonomous Driving

Lossy Image Compression

Top Venues

Publications

Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López
Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning. IROS (2023)
Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López
Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning. CoRR (2023)
Roger Girgis, Florian Golemo, Felipe Codevilla, Martin Weiss, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher Pal
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. ICLR (2022)
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López
Multimodal End-to-End Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal
Learned Image Compression for Machine Perception. CoRR (2021)
Roger Girgis, Florian Golemo, Felipe Codevilla, Jim Aldon D'Souza, Samira Ebrahimi Kahou, Felix Heide, Christopher J. Pal
Latent Variable Nested Set Transformers & AutoBots. CoRR (2021)
Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López
Action-Based Representation Learning for Autonomous Driving. CoRR (2020)
Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio Lopez
Action-based Representation Learning for Autonomous Driving. CoRL (2020)
Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
Exploring the Limitations of Behavior Cloning for Autonomous Driving. CoRR (2019)
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López
Multimodal End-to-End Autonomous Driving. CoRR (2019)
Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
Exploring the Limitations of Behavior Cloning for Autonomous Driving. ICCV (2019)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-based Driving Models. CoRR (2018)
Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
End-to-End Driving Via Conditional Imitation Learning. ICRA (2018)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) (2018)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRR (2017)
Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
End-to-end Driving via Conditional Imitation Learning. CoRR (2017)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRL (2017)
Felipe Codevilla, Joel D. O. Gaya, Amanda Cardoso Duarte, Silvia Silva da Costa Botelho
General Participative Media Single Image Restoration. CoRR (2016)
Felipe Codevilla, Joel D. O. Gaya, Nelson Duarte Filho, Silvia S. C. Botelho
Achieving Turbidity Robustness on Underwater Images Local Feature Detection. BMVC (2015)
Felipe Codevilla, Silvia S. C. Botelho, Nelson Duarte Filho, Samuel Purkis, A. S. M. Shihavuddin, Rafael García, Nuno Gracias
Geostatistics for Context-Aware Image Classification. ICVS (2015)