| Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration H Yu, F Li, M Saleh, B Busam, S Ilic Advances in Neural Information Processing Systems 34, 23872-23884, 2021 | 252 | 2021 |
| Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation Y Su, M Saleh, T Fetzer, J Rambach, N Navab, B Busam, D Stricker, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 157 | 2022 |
| 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 | 133 | 2019 |
| Rotation-invariant transformer for point cloud matching H Yu, Z Qin, J Hou, M Saleh, D Li, B Busam, S Ilic Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 107 | 2023 |
| Opera: Attention-regularized transformers for surgical phase recognition T Czempiel, M Paschali, D Ostler, ST Kim, B Busam, N Navab Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 107 | 2021 |
| Osop: A multi-stage one shot object pose estimation framework I Shugurov, F Li, B Busam, S Ilic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 73 | 2022 |
| 3d-vfield: Adversarial augmentation of point clouds for domain generalization in 3d object detection A Lehner, S Gasperini, A Marcos-Ramiro, M Schmidt, MAN Mahani, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 64 | 2022 |
| A multi-hypothesis approach to color constancy D Hernandez-Juarez, S Parisot, B Busam, A Leonardis, G Slabaugh, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| Nerf-pose: A first-reconstruct-then-regress approach for weakly-supervised 6d object pose estimation F Li, SR Vutukur, H Yu, I Shugurov, B Busam, S Yang, S Ilic Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 60 | 2023 |
| 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 | 57 | 2020 |
| Project to adapt: Domain adaptation for depth completion from noisy and sparse sensor data A Lopez-Rodriguez, B Busam, K Mikolajczyk Proceedings of the asian conference on computer vision, 2020 | 50 | 2020 |
| Phocal: A multi-modal dataset for category-level object pose estimation with photometrically challenging objects P Wang, HJ Jung, Y Li, S Shen, RP Srikanth, L Garattoni, S Meier, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 49 | 2022 |
| Commonscenes: Generating commonsense 3d indoor scenes with scene graph diffusion G Zhai, EP Örnek, SC Wu, Y Di, F Tombari, N Navab, B Busam Advances in Neural Information Processing Systems 36, 30026-30038, 2023 | 44 | 2023 |
| Riga: Rotation-invariant and globally-aware descriptors for point cloud registration H Yu, J Hou, Z Qin, M Saleh, I Shugurov, K Wang, B Busam, S Ilic IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (5), 3796-3812, 2024 | 43 | 2024 |
| R4dyn: Exploring radar for self-supervised monocular depth estimation of dynamic scenes S Gasperini, P Koch, V Dallabetta, N Navab, B Busam, F Tombari 2021 International Conference on 3D Vision (3DV), 751-760, 2021 | 43 | 2021 |
| Attention meets geometry: Geometry guided spatial-temporal attention for consistent self-supervised monocular depth estimation P Ruhkamp, D Gao, H Chen, N Navab, B Busam 2021 International Conference on 3D Vision (3DV), 837-847, 2021 | 41 | 2021 |
| Sterefo: Efficient image refocusing with stereo vision B Busam, M Hog, S McDonagh, G Slabaugh Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 39 | 2019 |
| 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 | 37 | 2021 |
| Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions B Busam, T Birdal, N Navab arXiv preprint arXiv:1704.07072, 2017 | 37 | 2017 |
| Texpose: Neural texture learning for self-supervised 6d object pose estimation H Chen, F Manhardt, N Navab, B Busam Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 35 | 2023 |
Nassir NavabProfessor of Computer Science, Technische Universität MünchenPatvirtintas el. paštas cs.tum.edu