Dieter Balemans

According to our database, Dieter Balemans authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study.

Dieter Balemans, Benjamin Vandersmissen, Jan Steckel, Siegfried Mercelis, Philippe Reiter, José Oramas

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Evaluation Metrics for DNNs Compression.

Abanoub Ghobrial, Samuel Budgett, Dieter Balemans, Hamid Asgari, Philippe Reiter, Kerstin Eder

CoRR, 2023

2022

Resource efficient AI: Exploring neural network pruning for task specialization.

Dieter Balemans, Philippe Reiter, Jan Steckel, Peter Hellinckx

Internet Things, 2022

Autonomous Navigation Using Model-Based Reinforcement Learning.

Siemen Herremans, Jens de Hoog, Simon Vanneste, Dieter Balemans, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2022

2021

Transfer Learning in Autonomous Driving Using Real-World Samples.

Arne Troch, Jens de Hoog, Simon Vanneste, Dieter Balemans, Steven Latré, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2021

2020

Resource efficient sensor fusion by knowledge-based network pruning.

Dieter Balemans, Wim Casteels, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Internet Things, 2020

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles.

Dieter Balemans, Yves De Boeck, Jens de Hoog, Ali Anwar, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2020

2019

LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection.

Dieter Balemans, Simon Vanneste, Jens de Hoog, Siegfried Mercelis, Peter Hellinckx

Proceedings of the Advances on P2P, Parallel, Grid, Cloud and Internet Computing, 2019