Pascal Bacchus

According to our database, Pascal Bacchus authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Deep learning for satellite image compression. (Compression d'images satellitaires par apprentissage profond).

Pascal Bacchus

PhD thesis, 2023

Filtered Residual Compression for Satellite Images.

Pascal Bacchus, Renaud Fraisse, Christine Guillemot, Aline Roumy

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Joint Compression and Demosaicking For Satellite Images.

Pascal Bacchus, Renaud Fraisse, Aline Roumy, Christine Guillemot

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Quasi Lossless Satellite Image Compression.

Pascal Bacchus, Renaud Fraisse, Aline Roumy, Christine Guillemot

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020

Accuracy, Training Time and Hardware Efficiency Trade-Offs for Quantized Neural Networks on FPGAs.

Pascal Bacchus, Robert J. Stewart, Ekaterina Komendantskaya

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

2019

Neural Network Verification for the Masses (of AI graduates).

Ekaterina Komendantskaya, Rob Stewart, Kirsty Duncan, Daniel Kienitz, Pierre Le Hen, Pascal Bacchus

CoRR, 2019