Learning to Parse Images

By Geoffrey E. Hinton, Zoubin Ghahramani, Yee Whye Teh. 1999

How researchers see this paper

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

1. Yoshua Bengio
2. Sergey Levine
3. Ruslan Salakhutdinov
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Xiaogang Wang
7. Trevor Darrell
8. Abhinav Kumar Gupta

Citations in the corpus

• Dynamic Routing Between Capsules (2017, background): “Hinton et al. propose the task of segmenting and recognizing highly overlapping digits (Hinton et al. [2000] and others have tested their networks in a similar domain (Goodfellow et al. [2013], Ba et al. [2014], Greff et al. [2016]).”
• Multi-class Open Set Recognition Using Probability of Inclusion (2014, methodology): “The use of unnormalized posterior estimation is well-known in computer vision [29,27,52,38,51], in part because as long as the missing normalization constant is consistent across all classes it still allows the use of maximum a posteriori estimation.”
• Learning a Generative Model of Images by Factoring Appearance and Shape (2011, methodology): “This issue has been addressed in the work on dynamic trees (Williams & Adams, 1999 ; Storkey & Williams, 2003 ), and also in the credibility network model (Hinton, Ghahramani, & Teh, 2000 ), among others.”