Neural representation of action sequences: how far can a simple snippet-matching model take us?
By Cheston Tan, Jedediah M. Singer, Thomas Serre, David L. Sheinberg, Tomaso A. Poggio. 2013
6 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- German Ignacio Parisi
- Stefan Wermter
- Cornelius Weber
- Luiza Mici
- Jun Tani
- Tyler L. Hayes
- Vincenzo Lomonaco
- Nourhan Elfaramawy
Citations in the corpus
- Self-organizing neural integration of pose-motion features for human action recognition (2015, methodology): “A series of well-established computational models have been proposed that implement a feed-forward architecture for processing action features with increasing complexity (Giese and Poggio, 2003; Lange et al., 2006; Tan et al., 2013).”