Jon Gutiérrez-Zaballa
Orcid: 0000-0002-6633-4148
According to our database1,
Jon Gutiérrez-Zaballa
authored at least 13 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
Optimization of DNN-based HSI Segmentation FPGA-based SoC for ADS: A Practical Approach.
CoRR, July, 2025
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection.
CoRR, April, 2025
CoRR, January, 2025
2024
Evaluating single event upsets in deep neural networks for semantic segmentation: An embedded system perspective.
J. Syst. Archit., 2024
Designing DNNs for a trade-off between robustness and processing performance in embedded devices.
CoRR, 2024
Reliable Explainability of Deep Learning Spatial-Spectral Classifiers for Improved Semantic Segmentation in Autonomous Driving.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024
Designing DNNs for a trade-off between robustness and processing performance in embedded devices<sup>*</sup>.
Proceedings of the 39th Conference on Design of Circuits and Integrated Systems, 2024
2023
On-chip hyperspectral image segmentation with fully convolutional networks for scene understanding in autonomous driving.
J. Syst. Archit., 2023
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Rapid Deployment of Domain-specific Hyperspectral Image Processors with Application to Autonomous Driving.
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023
2022
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems.
Proceedings of the Design and Architecture for Signal and Image Processing, 2022
2021
HSI-Drive: A Dataset for the Research of Hyperspectral Image Processing Applied to Autonomous Driving Systems.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
2019