Federico Paredes-Vallés

Orcid: 0000-0002-9478-7195

According to our database1, Federico Paredes-Vallés authored at least 16 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fully neuromorphic vision and control for autonomous drone flight.
Sci. Robotics, 2024

TDE-3: An improved prior for optical flow computation in spiking neural networks.
CoRR, 2024

Low-power event-based face detection with asynchronous neuromorphic hardware.
Proceedings of the International Joint Conference on Neural Networks, 2024

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
The sensing, state-estimation, and control behind the winning entry to the 2019 Artificial Intelligence Robotic Racing Competition.
Field Robotics, March, 2022

How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Learning fast in autonomous drone racing.
Nat. Mach. Intell., 2021

The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition.
CoRR, 2021

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs.
IEEE Robotics Autom. Lett., 2020

Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor.
CoRR, 2020


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