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Tolga Birdal
Tolga Birdal
Imperial College London
Bestätigte E-Mail-Adresse bei imperial.ac.uk - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
3922018
3D point capsule networks
Y Zhao, T Birdal, H Deng, F Tombari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3022019
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
2692018
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
1262020
Point Pair Features Based Object Detection and Pose Estimation Revisited
T Birdal, S Ilic
3D Vision, 527-535, 2015
1242015
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
902019
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
842021
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
832019
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
752020
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
492020
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
422021
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
372018
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
312020
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
312018
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
292022
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
292021
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
242019
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
242017
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
232020
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
232017
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