Suivre
Paul Roetzer
Paul Roetzer
PhD Candidate, University of Bonn
Adresse e-mail validée de uni-bonn.de - Page d'accueil
Titre
Citée par
Citée par
Année
Unsupervised learning of robust spectral shape matching
D Cao, P Roetzer, F Bernard
arXiv preprint arXiv:2304.14419, 2023
182023
A scalable combinatorial solver for elastic geometrically consistent 3d shape matching
P Roetzer, P Swoboda, D Cremers, F Bernard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
82022
Structured prediction problem archive
P Swoboda, A Hornakova, P Roetzer, B Savchynskyy, A Abbas
arXiv preprint arXiv:2202.03574, 2022
52022
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
P Roetzer, Z Lähner, F Bernard
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Geometrically Consistent Partial Shape Matching
V Ehm, P Roetzer, M Eisenberger, M Gao, F Bernard, D Cremers
arXiv preprint arXiv:2309.05013, 2023
22023
Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching
P Roetzer, A Abbas, D Cao, F Bernard, P Swoboda
arXiv preprint arXiv:2310.08230, 2023
12023
Sigma: Scale-invariant global sparse shape matching
M Gao, P Roetzer, M Eisenberger, Z Lähner, M Moeller, D Cremers, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision, 645-654, 2023
12023
Partial-to-Partial Shape Matching with Geometric Consistency
V Ehm, M Gao, P Roetzer, M Eisenberger, D Cremers, F Bernard
arXiv preprint arXiv:2404.12209, 2024
2024
Revisiting Map Relations for Unsupervised Non-Rigid Shape Matching
D Cao, P Roetzer, F Bernard
arXiv preprint arXiv:2310.11420, 2023
2023
Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching–Appendix–
P Roetzer, Z Lähner, F Bernard
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching –APPENDIX–
P Roetzer, P Swoboda, D Cremers, F Bernard
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–11