no code implementations • 9 Oct 2019 • T M Feroz Ali, Kalpesh K Patel, Rajbabu Velmurugan, Subhasis Chaudhuri
We derive a Mahalanobis metric induced by KFDA and argue that KFDA is efficient to be applied for metric learning in person re-identification.
no code implementations • 9 Oct 2019 • T M Feroz Ali, Subhasis Chaudhuri
In this paper, we propose a semi-supervised metric learning approach that can utilize information in unlabelled data with the help of a few labelled training samples.
3 code implementations • 25 Sep 2019 • T M Feroz Ali, Subhasis Chaudhuri
Person re-identification is the task of matching pedestrian images across non-overlapping cameras.
no code implementations • ECCV 2018 • T M Feroz Ali, Subhasis Chaudhuri
In this paper we propose a novel metric learning framework called Nullspace Kernel Maximum Margin Metric Learning (NK3ML) which efficiently addresses the small sample size (SSS) problem inherent in person re-identification and offers a significant performance gain over existing state-of-the-art methods.