LiDAR and Camera Sensor Fusion for 2D and 3D Object Detection. - Dieter Balemans; Simon Vanneste; Jens de Hoog; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2019)

Towards Hybrid Camera Sensor Simulation for Autonomous Vehicles. - Dieter Balemans; Yves De Boeck; Jens de Hoog; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 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)

Transfer Learning in Autonomous Driving Using Real-World Samples. - Arne Troch; Jens de Hoog; Simon Vanneste; Dieter Balemans; Steven Latré; Peter Hellinckx (3PGCIC, 2021)

Autonomous Navigation Using Model-Based Reinforcement Learning. - Siemen Herremans; Jens de Hoog; Simon Vanneste; Dieter Balemans; Ali Anwar 002; Siegfried Mercelis; Peter Hellinckx (3PGCIC, 2022)

Resource efficient AI: Exploring neural network pruning for task specialization. - Dieter Balemans; Philippe Reiter; Jan Steckel; Peter Hellinckx (Internet Things, 2022)

Evaluation Metrics for DNNs Compression. - Abanoub Ghobrial; Samuel Budgett; Dieter Balemans; Hamid Asgari; Philippe Reiter; Kerstin Eder (CoRR, 2023)

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 (VISIGRAPP (4): VISAPP, 2024)