| Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth M Rad, V Lepetit Proceedings of the IEEE international conference on computer vision, 3828-3836, 2017 | 910 | 2017 |
| HOnnotate: A Method for 3D Annotation of Hand and Object Poses S Hampali, M Rad, M Oberweger, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 347 | 2020 |
| HOnnotate: A Method for 3D Annotation of Hand and Object Poses S Hampali, M Rad, M Oberweger, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 347 | 2020 |
| Making deep heatmaps robust to partial occlusions for 3d object pose estimation M Oberweger, M Rad, V Lepetit Proceedings of the European conference on computer vision (ECCV), 119-134, 2018 | 264 | 2018 |
| Feature Mapping for Learning Fast and Accurate 3D Pose Inference from Synthetic Images M Rad, M Oberweger, V Lepetit Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 162 | 2018 |
| A novel representation of parts for accurate 3D object detection and tracking in monocular images A Crivellaro, M Rad, Y Verdie, K Moo Yi, P Fua, V Lepetit Proceedings of the IEEE international conference on computer vision, 4391-4399, 2015 | 132 | 2015 |
| Keypoint transformer: Solving joint identification in challenging hands and object interactions for accurate 3d pose estimation S Hampali, SD Sarkar, M Rad, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 107 | 2022 |
| Robust 3D object tracking from monocular images using stable parts A Crivellaro, M Rad, Y Verdie, KM Yi, P Fua, V Lepetit IEEE transactions on pattern analysis and machine intelligence 40 (6), 1465-1479, 2017 | 86 | 2017 |
| Domain transfer for 3d pose estimation from color images without manual annotations M Rad, M Oberweger, V Lepetit Asian Conference on Computer Vision, 69-84, 2018 | 57 | 2018 |
| Methods and systems of performing object pose estimation M Rad, M Oberweger, V Lepetit US Patent App. 15/495,665, 2018 | 57 | 2018 |
| Measuring generalisation to unseen viewpoints, articulations, shapes and objects for 3D hand pose estimation under hand-object interaction A Armagan, G Garcia-Hernando, S Baek, S Hampali, M Rad, Z Zhang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 48 | 2020 |
| Systems and methods for normalizing an image M Rad, M Oberweger, V Lepetit US Patent 10,325,351, 2019 | 38 | 2019 |
| Three-dimensional pose estimation of symmetrical objects M Rad, M Oberweger, V Lepetit US Patent 10,373,369, 2019 | 37 | 2019 |
| Montefloor: Extending mcts for reconstructing accurate large-scale floor plans S Stekovic, M Rad, F Fraundorfer, V Lepetit Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 30 | 2021 |
| Dynamics of grain boundary premelting M Torabi Rad, G Boussinot, M Apel Scientific Reports 10 (1), 21074, 2020 | 27 | 2020 |
| Ho-3d: A multi-user, multi-object dataset for joint 3d hand-object pose estimation S Hampali, M Oberweger, M Rad, V Lepetit arXiv preprint arXiv:1907.01481, 2019 | 26 | 2019 |
| Handsformer: Keypoint transformer for monocular 3d pose estimation ofhands and object in interaction S Hampali, SD Sarkar, M Rad, V Lepetit arXiv preprint arXiv:2104.14639 2, 2021 | 23 | 2021 |
| General 3d room layout from a single view by render-and-compare S Stekovic, S Hampali, M Rad, SD Sarkar, F Fraundorfer, V Lepetit Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 20 | 2020 |
| Holoassist: an egocentric human interaction dataset for interactive ai assistants in the real world X Wang, T Kwon, M Rad, B Pan, I Chakraborty, S Andrist, D Bohus, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
| ALCN: Adaptive local contrast normalization M Rad, PM Roth, V Lepetit Computer Vision and Image Understanding 194, 102947, 2020 | 6 | 2020 |
Vincent LepetitEcole des Ponts ParisTech在 enpc.fr 的电子邮件经过验证
