Anticipating future actions based on video observations is an important ...
Every hour, huge amounts of visual contents are posted on social media a...
This report presents the technical details of our submission to the
EPIC...
In this report, we describe the technical details of our submission for ...
Forecasting future events based on evidence of current conditions is an
...
Video retrieval using natural language queries has attracted increasing
...
Convolutional Neural Networks are the de facto models for image recognit...
Due to the amount of videos and related captions uploaded every hour, de...
This report presents the technical details of our submission to the
EPIC...
Endowing visual agents with predictive capability is a key step towards ...
We present EgoACO, a deep neural architecture for video action recogniti...
Deep 3D CNNs for video action recognition are designed to learn powerful...
We review three recent deep learning based methods for action recognitio...
In this report we describe the technical details of our submission to th...
Most action recognition methods base on a) a late aggregation of frame l...
Egocentric activity recognition is one of the most challenging tasks in ...
Most recent approaches for action recognition from video leverage deep
a...
In this paper we propose an end-to-end trainable deep neural network mod...
Developing a technique for the automatic analysis of surveillance videos...
In this paper, we present a novel deep learning based approach for addre...
Studying free-standing conversational groups (FCGs) in unstructured soci...