Knowledge representation for the generation of quantified natural language descriptions of vehicle traffic in image sequences

By R. Gerber, H. Nagel. 1996

Subfields: Computer Vision and Pattern Recognition, Information Extraction

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. Trevor Darrell
3. Jitendra Malik
4. Xiaogang Wang
5. Dacheng Tao
6. Andrew Zisserman
7. Yi Yang
8. Ming-Hsuan Yang

In Information Extraction

1. Oriol Vinyals
2. Alexander Toshev
3. Samy Bengio
4. Dumitru Erhan

Citations in the corpus

• Show and tell: A neural image caption generator (2014, background): “The choice of f in (3) is governed by its ability to deal with vanishing and exploding gradients [10], the most common challenge in designing and training RNNs.”