Name
Abstract | ||
|---|---|---|
Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images. This paper introduces the first algorithm for motion segmentation that relies on adiabatic quantum optimization of the objective function. The proposed method achieves on-par performance with the state of the art on problem instances which can be mapped to modern quantum annealers. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/978-3-031-19818-2_29 | European Conference on Computer Vision |
Keywords | DocType | Citations |
Motion segmentation,Quantum approach,Synchronization | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federica Arrigoni | 1 | 0 | 0.34 |
| Willi Menapace | 2 | 0 | 0.68 |
| Marcel Seelbach Benkner | 3 | 1 | 1.03 |
| Elisa Ricci 0002 | 4 | 1393 | 73.75 |
| Vladislav Golyanik | 5 | 22 | 12.55 |