Federico Paredes-Vallés

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Matthew Yedutenko, Federico Paredes-Vallés, Lyes Khacef, Guido C. H. E. de Croon

CoRR, 2024

2023

Low-power event-based face detection with asynchronous neuromorphic hardware.

Caterina Caccavella, Federico Paredes-Vallés, Marco Cannici, Lyes Khacef

CoRR, 2023

Fully neuromorphic vision and control for autonomous drone flight.

Federico Paredes-Vallés, Jesse J. Hagenaars, Julien Dupeyroux, Stein Stroobants, Yingfu Xu, Guido de Croon

CoRR, 2023

NanoFlowNet: Real-time Dense Optical Flow on a Nano Quadcopter.

Rik J. Bouwmeester, Federico Paredes-Vallés, Guido C. H. E. de Croon

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow.

Federico Paredes-Vallés, Kirk Y. W. Scheper, Christophe De Wagter, Guido C. H. E. de Croon

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.

Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon

Field Robotics, March, 2022

How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study.

David B. de Jong, Federico Paredes-Vallés, Guido C. H. E. de Croon

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring.

Yilun Wu, Federico Paredes-Vallés, Guido C. H. E. de Croon

CoRR, 2022

2021

Learning fast in autonomous drone racing.

Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon

Nat. Mach. Intell., 2021

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

Christophe De Wagter, Federico Paredes-Vallés, Nilay Sheth, Guido de Croon

CoRR, 2021

Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks.

Jesse J. Hagenaars, Federico Paredes-Vallés, Guido de Croon

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.

Julien Dupeyroux, Jesse J. Hagenaars, Federico Paredes-Vallés, Guido C. H. E. de Croon

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.

Federico Paredes-Vallés, Guido C. H. E. de Croon

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs.

Jesse J. Hagenaars, Federico Paredes-Vallés, Sander M. Bohté, Guido C. H. E. de Croon

IEEE Robotics Autom. Lett., 2020

Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception.

Federico Paredes-Vallés, Kirk Y. W. Scheper, Guido C. H. E. de Croon

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Julien Dupeyroux, Jesse J. Hagenaars, Federico Paredes-Vallés, Guido de Croon

CoRR, 2020