| Assessing deep-learning methods for object detection at sea from LWIR images FET Schöller, MK Plenge-Feidenhans, JD Stets, M Blanke IFAC-PapersOnLine 52 (21), 64-71, 2019 | 49 | 2019 |
| Visualization and labeling of point clouds in virtual reality JD Stets, Y Sun, W Corning, SW Greenwald SIGGRAPH Asia 2017 Posters, 1-2, 2017 | 36 | 2017 |
| Single-shot analysis of refractive shape using convolutional neural networks J Stets, Z Li, JR Frisvad, M Chandraker 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 995-1003, 2019 | 19 | 2019 |
| Scene reassembly after multimodal digitization and pipeline evaluation using photorealistic rendering JD Stets, A Dal Corso, JB Nielsen, RA Lyngby, SHN Jensen, J Wilm, ... Applied optics 56 (27), 7679-7690, 2017 | 15 | 2017 |
| Outlook for navigation-comparing human performance with a robotic solution M Blanke, S Hansen, JD Stets, T Koester, JE Brøsted, A Llopart Maurin, ... Proceedings of the 1st International Conference on Maritime Autonomous …, 2019 | 14 | 2019 |
| Comparing spectral bands for object detection at sea using convolutional neural networks JD Stets, FET Schöller, MK Plenge-Feidenhans, RH Andersen, S Hansen, ... Journal of Physics: Conference Series 1357 (1), 012036, 2019 | 10 | 2019 |
| Wearable gaze trackers: Mapping visual attention in 3D RR Jensen, JD Stets, S Suurmets, J Clement, H Aanæs Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 8 | 2017 |
| Object detection on TPU accelerated embedded devices B Kovács, AD Henriksen, JD Stets, L Nalpantidis Computer Vision Systems: 13th International Conference, ICVS 2021, Virtual …, 2021 | 7 | 2021 |
| Object detection at sea using ensemble methods across spectral ranges FET Schöller, MK Plenge-Feidenhans, JD Stets, M Blanke IFAC-PapersOnLine 54 (16), 1-6, 2021 | 5 | 2021 |
| Material-based segmentation of objects JD Stets, RA Lyngby, JR Frisvad, AB Dahl Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019 | 3 | 2019 |
| A variational study on BRDF reconstruction in a structured light scanner J Boll Nielsen, J Dyssel Stets, R Ahrenkiel Lyngby, H Aanæs, ... Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 2 | 2017 |
| Our 3D vision data-sets in the making H Aanæs, K Conradsen, A Dal Corso, AB Dahl, A Del Bue, MEB Doest, ... The Future of Datasets in Vision 2015: CVPR 2015 Workshop, 2015 | 2 | 2015 |
| Virtual Reality inspection and painting with measured BRDFs AD Corso, JD Stets, A Luongo, JB Nielsen, JR Frisvad, H Aanæs SIGGRAPH Asia 2017 VR Showcase, 1-2, 2017 | 1 | 2017 |
| Imaging Robot JD Stets Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark, 2010 | 1 | 2010 |
| Electronic Outlook: A Comparison of Human Outlook with a Computer-vision Solution M Blanke, S Hansen, JD Stets, T Koester, JE Brøsted, AL Maurin, ... Danish Maritime Authority, 2019 | | 2019 |
| Visual Human-Computer Interaction JD Stets DTU Compute, 2018 | | 2018 |
| 3D Surface Scanner Using Structured Light & Industrial Robot JD Stets, AL Dahl, H Aanæs Visionday 2011, 2011 | | 2011 |
| Scene reassembly after multimodal digitization and pipeline evaluation using photorealistic rendering-DTU Orbit (13/10/2019) JD Stets, A Dal Corso, JB Nielsen, RA Lyngby, S Jensen, H Nesgaard, ... | | |
| Scene reassembly after multimodal digitization and pipeline evaluation using photorealistic rendering-DTU Orbit (03/11/2019) JD Stets | | |
| Scene reassembly after multimodal digitization and pipeline evaluation using photorealistic rendering-DTU Orbit (07/11/2019) JD Stets, A Dal Corso, JB Nielsen, RA Lyngby, S Jensen, H Nesgaard, ... | | |
