39 citations · 114 across the 22 of their papers we have counts for
4 papers · 1 filter
Gate-Shift Networks for Video Action Recognition
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Deep 3D CNNs for video action recognition are designed to learn powerful representations in the joint spatio-temporal feature space. In practice however, because of the large numbe…
An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective
Swathikiran Sudhakaran, Oswald Lanz
We review three recent deep learning based methods for action recognition and present a brief comparative analysis of the methods from a neurophyisiological point of view. We posit…
FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
In this report we describe the technical details of our submission to the EPIC-Kitchens 2019 action recognition challenge. To participate in the challenge we have developed a numbe…
Hierarchical Feature Aggregation Networks for Video Action Recognition
Swathikiran Sudhakaran, Sergio Escalera, Oswald Lanz
Most action recognition methods base on a) a late aggregation of frame level CNN features using average pooling, max pooling, or RNN, among others, or b) spatio-temporal aggregatio…