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2020 – today
- 2023
[c9]Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López:
Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning. IROS 2023: 1586-1593- [i10]Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López
:
Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning. CoRR abs/2302.03198 (2023) - 2022
- [j1]Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López:
Multimodal End-to-End Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(1): 537-547 (2022) - [c8]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 - 2021
- [i9]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 abs/2104.00563 (2021) - [i8]Felipe Codevilla, Jean-Gabriel Simard, Ross Goroshin, Chris Pal:
Learned Image Compression for Machine Perception. CoRR abs/2111.02249 (2021) - 2020
- [c7]Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López:
Action-based Representation Learning for Autonomous Driving. CoRL 2020: 232-246 - [i7]Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López:
Action-Based Representation Learning for Autonomous Driving. CoRR abs/2008.09417 (2020)
2010 – 2019
- 2019
- [c6]Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon:
Exploring the Limitations of Behavior Cloning for Autonomous Driving. ICCV 2019: 9328-9337 - [i6]Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon:
Exploring the Limitations of Behavior Cloning for Autonomous Driving. CoRR abs/1904.08980 (2019) - [i5]Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López:
Multimodal End-to-End Autonomous Driving. CoRR abs/1906.03199 (2019) - 2018
- [c5]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) 2018: 246-262 - [c4]Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
End-to-End Driving Via Conditional Imitation Learning. ICRA 2018: 1-9 - [i4]Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy:
On Offline Evaluation of Vision-based Driving Models. CoRR abs/1809.04843 (2018) - 2017
- [c3]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRL 2017: 1-16 - [i3]Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun:
End-to-end Driving via Conditional Imitation Learning. CoRR abs/1710.02410 (2017) - [i2]Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun:
CARLA: An Open Urban Driving Simulator. CoRR abs/1711.03938 (2017) - 2016
- [i1]Felipe Codevilla, Joel D. O. Gaya, Amanda Cardoso Duarte, Silvia Silva da Costa Botelho:
General Participative Media Single Image Restoration. CoRR abs/1603.01864 (2016) - 2015
- [c2]Felipe Codevilla, Joel D. O. Gaya, Nelson Duarte Filho, Silvia S. C. Botelho:
Achieving Turbidity Robustness on Underwater Images Local Feature Detection. BMVC 2015: 154.1-154.13 - [c1]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: 228-239
Coauthor Index
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