Fast PRISM: Branch and Bound Hough Transform for Object Class Detection

By Alain D. Lehmann, Bastian Leibe, Luc Van Gool. 2011

81 citations recorded by the source corpus.

Subfields: 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 Computer Vision and Pattern Recognition

1. Luc Van Gool
2. Juergen Gall
3. Jitendra Malik
4. Xiaogang Wang
5. Andrew Zisserman
6. Cordelia Schmid
7. Andrea Vedaldi
8. Ming-Hsuan Yang

Citations in the corpus

• Voting for Voting in Online Point Cloud Object Detection (2015, methodology): “[12] use a similar argument to justify the voting process in the Implicit Shape Model (ISM).”
• Hough Forests for Object Detection, Tracking, and Action Recognition (2011, methodology): “Over the years, many adaptations of the implicit shape model have been proposed, focusing on improving voting and hypotheses generation [21], [23], [25], [26], [28].”
• Scalable multi-class object detection (2011, background): “However, when f i are scored independently, these approaches are equal [17], i.”