Semi-supervised semantic segmentation involves assigning pixel-wise labe...
Image-text contrastive models such as CLIP are useful for a variety of
d...
Few-shot classification (FSC) entails learning novel classes given only ...
Semi-supervised learning (SSL) has been widely explored in recent years,...
Meta learning approaches to few-shot classification are computationally
...
Object recognition has made great advances in the last decade, but
predo...
Evaluating Visual Dialogue, the task of answering a sequence of question...
We characterise some of the quirks and shortcomings in the exploration o...
We present FlipDial, a generative model for visual dialogue that
simulta...
We consider the task of learning a classifier for semantic segmentation ...
This work addresses the task of camera localization in a known 3D scene ...