Achieving Turbidity Robustness on Underwater Images Local Feature Detection. - Felipe Codevilla; Joel D. O. Gaya; Nelson Duarte Filho; Silvia S. C. Botelho (BMVC, 2015)

Geostatistics for Context-Aware Image Classification. - Felipe Codevilla; Silvia S. C. Botelho; Nelson Duarte Filho; Samuel Purkis; A. S. M. Shihavuddin; Rafael García; Nuno Gracias (ICVS, 2015)

General Participative Media Single Image Restoration. - Felipe Codevilla; Joel D. O. Gaya; Amanda Cardoso Duarte; Silvia Silva da Costa Botelho (CoRR, 2016)

CARLA: An Open Urban Driving Simulator. - Alexey Dosovitskiy; Germán Ros; Felipe Codevilla; Antonio M. López 001; Vladlen Koltun (CoRL, 2017)

On Offline Evaluation of Vision-Based Driving Models. - Felipe Codevilla; Antonio M. López 001; Vladlen Koltun; Alexey Dosovitskiy (ECCV (15), 2018)

End-to-End Driving Via Conditional Imitation Learning. - Felipe Codevilla; Matthias Müller 011; Antonio M. López 001; Vladlen Koltun; Alexey Dosovitskiy (ICRA, 2018)

Exploring the Limitations of Behavior Cloning for Autonomous Driving. - Felipe Codevilla; Eder Santana; Antonio M. López 001; Adrien Gaidon (ICCV, 2019)

Action-based Representation Learning for Autonomous Driving. - Yi Xiao 001; Felipe Codevilla; Christopher J. Pal; Antonio M. López 001 (CoRL, 2020)

Latent Variable Nested Set Transformers & AutoBots. - Roger Girgis; Florian Golemo; Felipe Codevilla; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher J. Pal (CoRR, 2021)

Learned Image Compression for Machine Perception. - Felipe Codevilla; Jean-Gabriel Simard; Ross Goroshin; Chris Pal (CoRR, 2021)

Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction. - Roger Girgis; Florian Golemo; Felipe Codevilla; Martin Weiss; Jim Aldon D'Souza; Samira Ebrahimi Kahou; Felix Heide; Christopher Pal (ICLR, 2022)

Multimodal End-to-End Autonomous Driving. - Yi Xiao 001; Felipe Codevilla; Akhil Gurram; Onay Urfalioglu; Antonio M. López 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning. - Yi Xiao 001; Felipe Codevilla; Diego Porres; Antonio M. López 001 (IROS, 2023)

Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning. - Yi Xiao 001; Felipe Codevilla; Diego Porres; Antonio M. López 001 (CoRR, 2023)