We propose and address a new generalisation problem: can a model trained...
This paper presents an investigation into long-tail video recognition. W...
Current one-stage action detection methods, which simultaneously predict...
We propose a novel approach to multimodal sensor fusion for Ambient Assi...
In this paper, we evaluate state-of-the-art OCR methods on Egocentric da...
We propose a Temporal Voting Network (TVNet) for action localization in
...
We propose a novel approach to few-shot action recognition, finding
temp...
Meta-learning approaches have addressed few-shot problems by finding
ini...
We present the first fully automated Sit-to-Stand or Stand-to-Sit (StS)
...
Domain alignment in convolutional networks aims to learn the degree of
l...
First-person vision is gaining interest as it offers a unique viewpoint ...
Knowledge of human presence and interaction in a vehicle is of growing
i...