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Fabian Manhardt
Fabian Manhardt
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Year
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
W Kehl, F Manhardt, F Tombari, S Ilic, N Navab
IEEE International Conference on Computer Vision (ICCV), 1521-1529, 2017
10602017
BOP: Benchmark for 6D Object Pose Estimation
T Hodan, F Michel, E Brachmann, W Kehl, AG Buch, D Kraft, B Drost, ...
Proceedings of the European Conference on Computer Vision (ECCV), 19-34, 2018
4252018
Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape
F Manhardt, W Kehl, A Gaidon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2772019
Gdr-net: Geometry-guided direct regression network for monocular 6d object pose estimation
G Wang, F Manhardt, F Tombari, X Ji
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2622021
Deep Model-Based 6D Pose Refinement in RGB
F Manhardt, W Kehl, N Navab, F Tombari
IEEE European Conference on Computer Vision (ECCV), 2018
1762018
Self6d: Self-supervised monocular 6d object pose estimation
G Wang, F Manhardt, J Shao, X Ji, N Navab, F Tombari
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1182020
Explaining the ambiguity of object detection and 6d pose from visual data
F Manhardt, DM Arroyo, C Rupprecht, B Busam, T Birdal, N Navab, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1092019
Automotive big data: Applications, workloads and infrastructures
A Luckow, K Kennedy, F Manhardt, E Djerekarov, B Vorster, A Apon
2015 IEEE International Conference on Big Data (Big Data), 1201-1210, 2015
1062015
So-pose: Exploiting self-occlusion for direct 6d pose estimation
Y Di, F Manhardt, G Wang, X Ji, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
992021
Gpv-pose: Category-level object pose estimation via geometry-guided point-wise voting
Y Di, R Zhang, Z Lou, F Manhardt, X Ji, N Navab, F Tombari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
642022
Textmesh: Generation of realistic 3d meshes from text prompts
C Tsalicoglou, F Manhardt, A Tonioni, M Niemeyer, F Tombari
arXiv preprint arXiv:2304.12439, 2023
602023
Sparf: Neural radiance fields from sparse and noisy poses
P Truong, MJ Rakotosaona, F Manhardt, F Tombari
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
552023
CPS++: Improving class-level 6D pose and shape estimation from monocular images with self-supervised learning
F Manhardt, G Wang, B Busam, M Nickel, S Meier, L Minciullo, X Ji, ...
arXiv preprint arXiv:2003.05848, 2020
552020
Graph-to-3d: End-to-end generation and manipulation of 3d scenes using scene graphs
H Dhamo, F Manhardt, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
382021
Occlusion-aware self-supervised monocular 6D object pose estimation
G Wang, F Manhardt, X Liu, X Ji, F Tombari
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1788-1803, 2021
322021
Monograspnet: 6-dof grasping with a single rgb image
G Zhai, D Huang, SC Wu, HJ Jung, Y Di, F Manhardt, F Tombari, N Navab, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 1708-1714, 2023
232023
Rbp-pose: Residual bounding box projection for category-level pose estimation
R Zhang, Y Di, Z Lou, F Manhardt, F Tombari, X Ji
European Conference on Computer Vision, 655-672, 2022
232022
Opa-3d: Occlusion-aware pixel-wise aggregation for monocular 3d object detection
Y Su, Y Di, G Zhai, F Manhardt, J Rambach, B Busam, D Stricker, ...
IEEE Robotics and Automation Letters 8 (3), 1327-1334, 2023
192023
DemoGrasp: Few-shot learning for robotic grasping with human demonstration
P Wang, F Manhardt, L Minciullo, L Garattoni, S Meier, N Navab, B Busam
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
182021
Nerfmeshing: Distilling neural radiance fields into geometrically-accurate 3d meshes
MJ Rakotosaona, F Manhardt, DM Arroyo, M Niemeyer, A Kundu, ...
arXiv preprint arXiv:2303.09431, 2023
172023
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