Safeguarding personal information is paramount for healthcare data shari...
This paper presents a novel method for face clustering in videos using a...
Emotion recognition in smart eyewear devices is highly valuable but
chal...
This work presents MemX: a biologically-inspired attention-aware eyewear...
Deep-learning-based video processing has yielded transformative results ...
Metric learning aims to learn a distance metric such that semantically
s...
Dilated convolutions are widely used in deep semantic segmentation model...
For real-time semantic video segmentation, most recent works utilise a
d...
Active learning aims to reduce annotation cost by predicting which sampl...
Active learning (AL) aims to enable training high performance classifier...
In this paper, we propose the Lipschitz margin ratio and a new metric
le...
The performance of distance-based classifiers heavily depends on the
und...