205 citations · 759 across the 46 of their papers we have counts for
4 papers · 1 filter
View-Invariant Gait Recognition with Attentive Recurrent Learning of Partial Representations
Alireza Sepas-Moghaddam, Ali Etemad
Gait recognition refers to the identification of individuals based on features acquired from their body movement during walking. Despite the recent advances in gait recognition wit…
Gait Recognition using Multi-Scale Partial Representation Transformation with Capsules
Alireza Sepas-Moghaddam, Saeed Ghorbani, Nikolaus F. Troje +1
Gait recognition, referring to the identification of individuals based on the manner in which they walk, can be very challenging due to the variations in the viewpoint of the camer…
End-to-End Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications
Arthur Cruz de Araujo, Ali Etemad
The acquisition of massive data on parcel delivery motivates postal operators to foster the development of predictive systems to improve customer service. Predicting delivery times…
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space
Guangyi Zhang, Ali Etemad
We present a novel deep neural architecture for learning electroencephalogram (EEG). To learn the spatial information, our model first obtains the Riemannian mean and distance from…