Search Results for author: Sepehr Zargaran

Found 1 papers, 0 papers with code

Re-Sign: Re-Aligned End-To-End Sequence Modelling With Deep Recurrent CNN-HMMs

no code implementations CVPR 2017 Oscar Koller, Sepehr Zargaran, Hermann Ney

This work presents an iterative re-alignment approach applicable to visual sequence labelling tasks such as gesture recognition, activity recognition and continuous sign language recognition.

Activity Recognition Gesture Recognition +1

Cannot find the paper you are looking for? You can Submit a new open access paper.