Amélie Gruel

According to our database, Amélie Gruel authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

2024

Neuromorphic Event-based Line Detection on SpiNNaker.

Amélie Gruel, Adrien F. Vincent, Jean Martinet, Sylvain Saïghi

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Stakes of neuromorphic foveation: a promising future for embedded event cameras.

Amélie Gruel, Dalia Hareb, Antoine Grimaldi, Jean Martinet, Laurent Perrinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Biol. Cybern., October, 2023

Spiking neural networks for embedded event-based vision. (Réseaux de neurones impulsionnels pour la vision embarquée basée sur les événements).

Amélie Gruel

PhD thesis, 2023

Performance comparison of DVS data spatial downscaling methods using Spiking Neural Networks.

Amélie Gruel, Jean Martinet, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Object Detection for Embedded Systems Using Tiny Spiking Neural Networks: Filtering Noise Through Visual Attention.

Hugo Bulzomi, Amélie Gruel, Jean Martinet, Takeshi Fujita, Yuta Nakano, Rémy Bendahan

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Simultaneous neuromorphic selection of multiple salient objects for event vision.

Amélie Gruel, Jean Martinet, Michele Magno

Proceedings of the International Joint Conference on Neural Networks, 2023

Frugal event data: how small is too small? A human performance assessment with shrinking data.

Amélie Gruel, Lucía Trillo Carreras, Marina Bueno García, Ewa Kupczyk, Jean Martinet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

End-to-end Neuromorphic Lip Reading.

Hugo Bulzomi, Marcel Schweiker, Amélie Gruel, Jean Martinet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Embedded neuromorphic attention model leveraging a novel low-power heterogeneous platform.

Amélie Gruel, Alfio Di Mauro, Robin Hunziker, Luca Benini, Jean Martinet, Michele Magno

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022

Event Data Downscaling for Embedded Computer Vision.

Amélie Gruel, Jean Martinet, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Neuromorphic Event-Based Spatio-temporal Attention using Adaptive Mechanisms.

Amélie Gruel, Antonio Vitale, Jean Martinet, Michele Magno

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Bio-inspired visual attention for silicon retinas based on spiking neural networks applied to pattern classification.

Amélie Gruel, Jean Martinet

Proceedings of the 18th International Conference on Content-Based Multimedia Indexing, 2021