| Ppfnet: Global context aware local features for robust 3d point matching H Deng, T Birdal, S Ilic Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 391 | 2018 |
| 3D point capsule networks Y Zhao, T Birdal, H Deng, F Tombari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 301 | 2019 |
| PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors H Deng, T Birdal, S Ilic Proceedings of the European Conference on Computer Vision (ECCV), 602-618, 2018 | 268 | 2018 |
| Learning multiview 3d point cloud registration Z Gojcic, C Zhou, JD Wegner, LJ Guibas, T Birdal Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 126 | 2020 |
| Point Pair Features Based Object Detection and Pose Estimation Revisited T Birdal, S Ilic 3D Vision, 527-535, 2015 | 124 | 2015 |
| 3D Local Features for Direct Pairwise Registration H Deng, T Birdal, S Ilic Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019 | 90 | 2019 |
| Humor: 3d human motion model for robust pose estimation D Rempe, T Birdal, A Hertzmann, J Yang, S Sridhar, LJ Guibas Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 84 | 2021 |
| 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 International Conference on Computer Vision, 2019 | 84 | 2019 |
| Quaternion equivariant capsule networks for 3d point clouds Y Zhao, T Birdal, JE Lenssen, E Menegatti, L Guibas, F Tombari Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 75 | 2020 |
| Caspr: Learning canonical spatiotemporal point cloud representations D Rempe, T Birdal, Y Zhao, Z Gojcic, S Sridhar, LJ Guibas Advances in neural information processing systems 33, 13688-13701, 2020 | 49 | 2020 |
| Weakly supervised learning of rigid 3D scene flow Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 42 | 2021 |
| Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation A Haarbach, T Birdal, S Ilic International Conference on 3D Vision, 381--389, 2018 | 37 | 2018 |
| Deformation-aware 3d model embedding and retrieval MA Uy, J Huang, M Sung, T Birdal, L Guibas Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 31 | 2020 |
| Bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc T Birdal, U Şimşekli, MO Eken, S Ilic Advances in Neural Information Processing Systems 31 31, 308--319, 2018 | 31 | 2018 |
| Deep bingham networks: Dealing with uncertainty and ambiguity in pose estimation H Deng, M Bui, N Navab, L Guibas, S Ilic, T Birdal International Journal of Computer Vision 130 (7), 1627-1654, 2022 | 29 | 2022 |
| MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization J Huang, H Wang, T Birdal, M Sung, F Arrigoni, SM Hu, L Guibas arXiv preprint arXiv:2101.06605, 2021 | 29 | 2021 |
| Probabilistic permutation synchronization using the riemannian structure of the birkhoff polytope T Birdal, U Simsekli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 24 | 2019 |
| A Point Sampling Algorithm for 3D Matching of Irregular Geometries T Birdal, S Ilic IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2017 | 24 | 2017 |
| Synchronizing probability measures on rotations via optimal transport T Birdal, M Arbel, U Simsekli, LJ Guibas Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 23 | 2020 |
| Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions B Busam, T Birdal, N Navab International Conference on Computer Vision (ICCV) Workshop on Multiview …, 2017 | 23 | 2017 |
Leonidas GuibasProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
