Name
Abstract | ||
|---|---|---|
We study the problems of multi-person pose segmentation in natural images and instance segmentation in biological images with crowded cells. We formulate these distinct tasks as integer programs where variables correspond to poses/cells. To optimize, we propose a generic relaxation scheme for solving these combinatorial problems using a column generation formulation where the program for generating a column is solved via exact optimization of very small scale integer programs. This results in efficient exploration of the spaces of poses and cells. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Computer Vision and Pattern Recognition | Integer,Column generation,Pattern recognition,Computer science,Segmentation,Artificial intelligence,Cell segmentation,Machine learning |
DocType | Volume | Citations |
Journal | abs/1612.00437 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaofei Wang | 1 | 19 | 2.73 |
| Chong Zhang | 2 | 38 | 5.40 |
| Miguel Ángel González Ballester | 3 | 212 | 34.31 |
| Julian Yarkony | 4 | 76 | 9.20 |