| 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 | 898 | 2017 |
| 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 | 327 | 2018 |
| 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 | 224 | 2019 |
| 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 | 150 | 2021 |
| Deep Model-Based 6D Pose Refinement in RGB F Manhardt, W Kehl, N Navab, F Tombari IEEE European Conference on Computer Vision (ECCV), 2018 | 149 | 2018 |
| 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 | 96 | 2015 |
| 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 | 92 | 2020 |
| 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 | 87 | 2019 |
| 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 | 51 | 2021 |
| 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 | 36 | 2020 |
| 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 | 18 | 2022 |
| 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 | 14 | 2021 |
| 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, 2021 | 13 | 2021 |
| 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 | 10 | 2021 |
| Rbp-pose: Residual bounding box projection for category-level pose estimation R Zhang, Y Di, Z Lou, F Manhardt, F Tombari, X Ji Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 6 | 2022 |
| DB-GAN: Boosting Object Recognition Under Strong Lighting Conditions L Minciullo, F Manhardt, K Yoshikawa, S Meier, F Tombari, N Kobori Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 6 | 2021 |
| 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 | 5 | 2023 |
| MonoGraspNet: 6-DoF Grasping with a Single RGB Image G Zhai, D Huang, SC Wu, H Jung, Y Di, F Manhardt, F Tombari, N Navab, ... arXiv preprint arXiv:2209.13036, 2022 | 4 | 2022 |
| 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, 2023 | 3 | 2023 |
| Object-Aware Monocular Depth Prediction With Instance Convolutions E Simsar, EP Örnek, F Manhardt, H Dhamo, N Navab, F Tombari IEEE Robotics and Automation Letters 7 (2), 5389-5396, 2022 | 2 | 2022 |
Federico TombariGoogle, TU MunichVerified email at in.tum.de
