| 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild A Grabner, PM Roth, V Lepetit Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 178 | 2018 |
| Pose estimation and model retrieval for objects in images A Grabner, PM Roth, V Lepetit US Patent 10,769,411, 2020 | 118 | 2020 |
| Location field descriptors: Single image 3d model retrieval in the wild A Grabner, PM Roth, V Lepetit 2019 international conference on 3d vision (3DV), 583-593, 2019 | 47 | 2019 |
| Model retrieval for objects in images using field descriptors A Grabner, PM Roth, V Lepetit US Patent 11,361,505, 2022 | 44 | 2022 |
| Gp2c: Geometric projection parameter consensus for joint 3d pose and focal length estimation in the wild A Grabner, PM Roth, V Lepetit Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 23 | 2019 |
| Geometric correspondence fields: Learned differentiable rendering for 3d pose refinement in the wild A Grabner, Y Wang, P Zhang, P Guo, T Xiao, P Vajda, PM Roth, V Lepetit European Conference on Computer Vision, 102-119, 2020 | 11 | 2020 |
| Loss-Specific Training of Random Forests for Super-Resolution A Grabner, G Poier, M Opitz, S Schulter, PM Roth computational complexity 35 (37), 39, 2017 | 1 | 2017 |
| Efficient 3D Pose Estimation and 3D Model Retrieval A Grabner, PM Roth, V Lepetit Proceedings of the 42nd OAGM Workshop, 2018 | | 2018 |
| Loss-Specific Training of Memory Efficient Random Forests for Super-Resolution A Grabner Graz University of Technology, 2016 | | 2016 |
| 3D Pose Estimation and 3D Model Retrieval for Objects in the Wild Supplementary Material A Grabner, PM Roth, V Lepetit | | |
| HPS: Holistic End-to-End Panoptic Segmentation Network with Interrelations G Kniewasser, A Grabner, PM Roth | | |
| GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild Supplementary Material A Grabner, PM Roth, V Lepetit | | |
Peter M. RothUniversity of Veterinary Medicine, ViennaVerified email at ieee.org
