Chest X-rays have been widely used for COVID-19 screening; however, 3D
c...
Few shot classification aims to learn to recognize novel categories usin...
End-to-end reinforcement learning techniques are among the most successf...
Robotic manipulation and control has increased in importance in recent y...
This paper describes a deep reinforcement learning (DRL) approach that w...
Monitoring species-specific dry herbage biomass is an important aspect o...
A recurring focus of the deep learning community is towards reducing the...
This paper details our winning submission to Phase 1 of the 2021 Real Ro...
Exemplar-based colourisation aims to add plausible colours to a grayscal...
In this work, we evaluate contrastive models for the task of image retri...
Current deep learning based video classification architectures are typic...
The spherical domain representation of 360 video/image presents many
cha...
The prediction of salient areas in images has been traditionally address...
This paper explores the potential for using Brain Computer Interfaces (B...