Face localization and tracking in the neural abstraction pyramid

By Sven Behnke. 2005

8 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. J. Urgen Schmidhuber
2. Luc Van Gool
3. Jonathan Masci
4. Andrew Zisserman
5. Ming-Hsuan Yang
6. Xiaogang Wang
7. Faustino J. Gomez
8. Trevor Darrell

Citations in the corpus

• Deep learning in neural networks: An overview (2014, methodology): “Hierarchical CNNs in a Neural Abstraction Pyramid (e.g., Behnke, 2003b, 2005) were trained to reconstruct images corrupted by structured noise (Behnke, 2001), thus enforcing increasingly abstract image representations in deeper and deeper layers.”
• Deep Networks with Internal Selective Attention through Feedback Connections (2014, methodology): “Iterative processing of images using recurrency has been successfully used for image reconstruction [48], face-localization [49] and compression [50].”