Gábor Balázs

According to our database, Gábor Balázs authored at least 5 papers between 2019 and 2022.

Collaborative distances:

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

2022

Machine Learning for Grid-Based Sensor Fusion in Automotive Applications (Maschinelles Lernen für die grid-basierte Sensordatenfusion in automobilen Anwendungen)

Gábor Balázs

PhD thesis, 2022

Automated Defect Inspection in Reverse Engineering of Integrated Circuits.

Ann-Christin Bette, Patrick Brus, Gábor Balázs, Matthias Ludwig, Alois C. Knoll

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Sensor Fusion Neural Networks for Gesture Recognition on Low-power Edge Devices.

Gábor Balázs, Mateusz Chmurski, Walter Stechele, Mariusz Zubert

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Neural Architecture Search for Automotive Grid Fusion Networks Under Embedded Hardware Constraints.

Gábor Balázs, Walter Stechele

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Deep Grid Fusion of Feature-Level Sensor Data with Convolutional Neural Networks.

Gábor Balázs, Walter Stechele

Proceedings of the 2019 IEEE International Conference on Connected Vehicles and Expo, 2019