Work

GeoF: Geodesic Forests for Learning Coupled Predictors

Year: 2013

Type: conference-paper

Source: IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI: 10.1109/cvpr.2013.16

Authors: Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi

Institutions: Graz University of Technology, Microsoft Research (United Kingdom)

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2104266970

FWCI: 8.65

Cites: 29

Cited by: 65

Related to: 10