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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
Coauthor Index
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