Alternating Regression Forests for Object Detection and Pose Estimation

By Samuel Schulter, Christian Leistner, Paul Wohlhart, Peter M. Roth, Horst Bischof. 2013

53 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Christian Leistner
2. Horst Bischof
3. Samuel Schulter
4. Ming-Hsuan Yang
5. Luc Van Gool

In Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Ming-Hsuan Yang
3. Christian Leistner
4. Horst Bischof
5. Samuel Schulter
6. Chen Change Loy
7. Chunhua Shen
8. Xiaogang Wang

Citations in the corpus

• Fast and accurate image upscaling with super-resolution forests (2015, methodology): “Note however that training the models with the scheme of [29] takes longer as intermediate predictions have to be computed, which involves solving a linear system.”