| Exploring RGB+ Depth fusion for real-time object detection T Ophoff, K Van Beeck, T Goedemé Sensors 19 (4), 866, 2019 | 80 | 2019 |
| Vehicle and vessel detection on satellite imagery: A comparative study on single-shot detectors T Ophoff, S Puttemans, V Kalogirou, JP Robin, T Goedemé Remote Sensing 12 (7), 1217, 2020 | 22 | 2020 |
| Improving real-time pedestrian detectors with RGB+ depth fusion T Ophoff, K Van Beeck, T Goedemé 2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018 | 17 | 2018 |
| Investigating the potential of network optimization for a constrained object detection problem T Ophoff, C Gullentops, K Van Beeck, T Goedemé Journal of Imaging 7 (4), 64, 2021 | 4 | 2021 |
| Real-Time Embedded Computer Vision on UAVs: UAVision2020 Workshop Summary K Van Beeck, T Ophoff, M Vandersteegen, T Tuytelaars, D Scaramuzza, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 2 | 2020 |
| Improving Object Detection in VHR Aerial Orthomosaics T Ophoff, K Van Beeck, T Goedemé European Conference on Computer Vision, 268-282, 2022 | 1 | 2022 |
| Aerial Object Detection T Ophoff | | 2023 |
| An operational use case on AI for vehicle detection T Ophoff, S Puttemans, V Kalogirou, T Goedemé Phi Week-AI 4 Secure Societies, Date: 2019/09/09-2019/09/13, Location …, 2019 | | 2019 |
| Getting the most out of massive amounts of satellite data T Ophoff, S Puttemans, T Goedemé 111th OGC Technical Committee meeting-EO Summit, Date: 2019/06/25-2019/06/26 …, 2019 | | 2019 |
| Relabeled EPFL RGB-D Pedestrian Dataset T Ophoff, K Van Beeck, T Goedemé EAVISE; http://www. eavise. be/dataset-rgbd-pedestrian-relabeled, 2018 | | 2018 |
| Brambox: Basic Requisits for Algorithms on Images Toolbox T Ophoff, M Vandersteegen | | 2017 |
