Resource efficient sensor fusion by knowledge-based network pruning D Balemans, W Casteels, S Vanneste, J de Hoog, S Mercelis, P Hellinckx Internet of Things 11, 100231, 2020 | 14 | 2020 |
Resource efficient AI: Exploring neural network pruning for task specialization D Balemans, P Reiter, J Steckel, P Hellinckx Internet of Things 20, 100599, 2022 | 6 | 2022 |
LiDAR and camera sensor fusion for 2D and 3D object detection D Balemans, S Vanneste, J de Hoog, S Mercelis, P Hellinckx Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings …, 2020 | 4 | 2020 |
Transfer learning in autonomous driving using real-world samples A Troch, J Hoog, S Vanneste, D Balemans, S Latré, P Hellinckx Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings …, 2022 | 2 | 2022 |
Smart Highway: An Interoperable V2X Testbed for Connected and Autonomous Mobility Services in Belgium S Hadiwardoyo, V Maglogiannis, D Naudts, EB e Silva, D van den Akker, ... 27th ITS World Congress, 11-15, 2021 | 2 | 2021 |
Towards hybrid camera sensor simulation for autonomous vehicles D Balemans, Y De Boeck, J de Hoog, A Anwar, S Mercelis, P Hellinckx Advances on P2P, Parallel, Grid, Cloud and Internet Computing: Proceedings …, 2021 | 2 | 2021 |
Evaluation Metrics for DNNs Compression A Ghobrial, S Budgett, D Balemans, H Asgari, P Reiter, K Eder arXiv preprint arXiv:2305.10616, 2023 | 1 | 2023 |
Deep learning model compression for resource efficient activity recognition on edge devices: a case study D Balemans, B Vandersmissen, J Steckel, S Mercelis, P Reiter, J Oramas Proceedings of the 19th International Joint Conference on Computer Vision …, 2024 | | 2024 |
Autonomous Navigation Using Model-Based Reinforcement Learning S Herremans, J de Hoog, S Vanneste, D Balemans, A Anwar, S Mercelis, ... International Conference on P2P, Parallel, Grid, Cloud and Internet …, 2022 | | 2022 |
LIDAR and camera sensor fusion for 2D and3D object detection D Balemans, S Vanneste, J de Hoog, S Mercelis, P Hellinckx | | 2019 |