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Dieter Balemans
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2020 – today
- 2024
- [c5]Dieter Balemans, Benjamin Vandersmissen, Jan Steckel
, Siegfried Mercelis, Philippe Reiter, José Oramas
:
Deep Learning Model Compression for Resource Efficient Activity Recognition on Edge Devices: A Case Study. VISIGRAPP (4): VISAPP 2024: 575-584 - 2023
- [i1]Abanoub Ghobrial, Samuel Budgett, Dieter Balemans, Hamid Asgari, Philippe Reiter, Kerstin Eder:
Evaluation Metrics for DNNs Compression. CoRR abs/2305.10616 (2023) - 2022
- [j2]Dieter Balemans
, Philippe Reiter, Jan Steckel
, Peter Hellinckx
:
Resource efficient AI: Exploring neural network pruning for task specialization. Internet Things 20: 100599 (2022) - [c4]Siemen Herremans
, Jens de Hoog, Simon Vanneste, Dieter Balemans
, Ali Anwar, Siegfried Mercelis
, Peter Hellinckx
:
Autonomous Navigation Using Model-Based Reinforcement Learning. 3PGCIC 2022: 268-277 - 2021
- [c3]Arne Troch
, Jens de Hoog
, Simon Vanneste
, Dieter Balemans
, Steven Latré, Peter Hellinckx
:
Transfer Learning in Autonomous Driving Using Real-World Samples. 3PGCIC 2021: 237-245 - 2020
- [j1]Dieter Balemans
, Wim Casteels, Simon Vanneste
, Jens de Hoog
, Siegfried Mercelis
, Peter Hellinckx
:
Resource efficient sensor fusion by knowledge-based network pruning. Internet Things 11: 100231 (2020) - [c2]Dieter Balemans
, Yves De Boeck, Jens de Hoog
, Ali Anwar, Siegfried Mercelis
, Peter Hellinckx
:
Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. 3PGCIC 2020: 291-300
2010 – 2019
- 2019
- [c1]Dieter Balemans
, Simon Vanneste, Jens de Hoog
, Siegfried Mercelis
, Peter Hellinckx
:
LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. 3PGCIC 2019: 798-807
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