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Gate-Shift Networks for Video Action Recognition
Deep 3D CNNs for video action recognition are designed to learn powerful...
12/01/2019 ∙ by Swathikiran Sudhakaran, et al. ∙
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An Analysis of Deep Neural Networks with Attention for Action Recognition from a Neurophysiological Perspective
We review three recent deep learning based methods for action recognitio...
07/02/2019 ∙ by Swathikiran Sudhakaran, et al. ∙
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FBK-HUPBA Submission to the EPIC-Kitchens 2019 Action Recognition Challenge
In this report we describe the technical details of our submission to th...
06/21/2019 ∙ by Swathikiran Sudhakaran, et al. ∙
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Hierarchical Feature Aggregation Networks for Video Action Recognition
Most action recognition methods base on a) a late aggregation of frame l...
05/29/2019 ∙ by Swathikiran Sudhakaran, et al. ∙
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LSTA: Long Short-Term Attention for Egocentric Action Recognition
Egocentric activity recognition is one of the most challenging tasks in ...
11/26/2018 ∙ by Swathikiran Sudhakaran, et al. ∙
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Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos
Most recent approaches for action recognition from video leverage deep a...
08/29/2018 ∙ by Swathikiran Sudhakaran, et al. ∙
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Attention is All We Need: Nailing Down Object-centric Attention for Egocentric Activity Recognition
In this paper we propose an end-to-end trainable deep neural network mod...
07/31/2018 ∙ by Swathikiran Sudhakaran, et al. ∙
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Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
Developing a technique for the automatic analysis of surveillance videos...
09/19/2017 ∙ by Swathikiran Sudhakaran, et al. ∙
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Convolutional Long Short-Term Memory Networks for Recognizing First Person Interactions
In this paper, we present a novel deep learning based approach for addre...
09/19/2017 ∙ by Swathikiran Sudhakaran, et al. ∙
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