Exploiting the deep learning paradigm for recognizing human actions

By Pasquale Foggia, Alessia Saggese, Nicola Strisciuglio, Mario Vento. 2014

48 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, 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. Mario Vento
2. Alessia Saggese
3. Luc Brun
4. Pasquale Foggia
5. Horst Bunke
6. Kaspar Riesen

In Computer Vision and Pattern Recognition

1. Mario Vento
2. Alessia Saggese
3. Luc Brun
4. Pasquale Foggia
5. Gennaro Percannella
6. Horst Bunke
7. Kaspar Riesen

Citations in the corpus

• HAck: A system for the recognition of human actions by kernels of visual strings (2014, background): “The introduction of a high level representation for representing actions has been also exploited in [7] and [8], where a bag of words approach and a deep learning architecture have been respectively used.”
• Recognition of Human Actions using Edit Distance on Aclet Strings (2015, background): “In (Foggia et al., 2014) a deep learning architecture is introduced, aiming at extracting a high level representation of the actions directly from the data.”