Seuraa
Tolga Birdal
Tolga Birdal
Imperial College London
Vahvistettu sähköpostiosoite verkkotunnuksessa imperial.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
7272018
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
4602018
3D point capsule networks
Y Zhao, T Birdal, H Deng, F Tombari
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
4452019
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
3272021
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
2122020
Point Pair Features Based Object Detection and Pose Estimation Revisited
T Birdal, S Ilic
3D Vision, 527-535, 2015
1532015
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
1392019
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
1332019
Quaternion equivariant capsule networks for 3d point clouds
Y Zhao, T Birdal, JE Lenssen, E Menegatti, L Guibas, F Tombari
European conference on computer vision, 1-19, 2020
1102020
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
1072021
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
772020
Intrinsic dimension, persistent homology and generalization in neural networks
T Birdal, A Lou, LJ Guibas, U Simsekli
Advances in neural information processing systems 34, 6776-6789, 2021
682021
Topological Deep Learning: Going Beyond Graph Data
M Hajij, G Zamzmi, T Papamarkou, N Miolane, A Guzmán-Sáenz, ...
arXiv preprint arXiv:2206.00606, 2023
66*2023
Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
MA Uy, YY Chang, M Sung, P Goel, JG Lambourne, T Birdal, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
602022
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
572022
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
552021
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
542018
Quantum permutation synchronization
T Birdal, V Golyanik, C Theobalt, LJ Guibas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
472021
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
472020
Position: Topological deep learning is the new frontier for relational learning
T Papamarkou, T Birdal, M Bronstein, G Carlsson, J Curry, Y Gao, M Hajij, ...
arXiv preprint arXiv:2402.08871, 2024
43*2024
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Artikkelit 1–20