Action Recognition

By Derek Hoiem. 2014

265 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.

Lifelong learning of human actions with deep neural network self-organization (2017, methodology): “Our result is competitive with the two best results: 95.6% by Ravanbakhsh et al. (2015) and 95.04% by Gao et al. (2010).”
View-invariant human action recognition via robust locally adaptive multi-view learning (2015, methodology): “Specially, there are three kinds of methods that have been used in viewinvariant human action recognition: Bayesian network (Natarajan et al., 2010), hidden Markov model (Wang et al., 2007; Weinland et al., 2007), and conditional random fields (Natarajan and Nevatia, 2008).”
A Robust and Efficient Video Representation for Action Recognition (2015, background): “The best previous result is from (Zhu et al, 2013).”
Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery (2016, unknown): “The mirror neuron system is activated during the execution of ecological goal-directed actions, as well as during the observation of the same actions done by other individuals (Gallese et al., 1996; Rizzolatti et al., 1996; Kohler et al., 2002).”