Current few-shot action recognition methods reach impressive performance by learning
discriminative features for each video via episodic training and designing various temporal …

The uncontrolled conditions of real-world biometric applications pose a great challenge to
any face recognition approach. The unconstrained acquisition of data from uncooperative …

How to measure the performance of an edge detection method is an open problem. Many
performance measures have been presented in the literature. However, there seems to be …

A 3D landmark detection method for 3D facial scans is presented and thoroughly evaluated.
The main contribution of the presented method is the automatic and pose-invariant detection …

Few-shot action recognition is a challenging but practical problem aiming to learn a model
that can be easily adapted to identify new action categories with only a few labeled samples …

We consider the problem of computing accurate point-to-point correspondences among a
set of human face scans with varying expressions. Our fully automatic approach does not …

Multibiometric systems using face and ear features are increasingly adopted for forensic and
civilian applications to address the challenges of facial expressions and occlusions …

Face is considered to be one of the biometrics in automatic person identification. The non-
intrusive nature of face recognition makes it an attractive choice. For face recognition system …

Although the existing few-shot action recognition methods have achieved impressive results,
they suffer from two major shortcomings.(a) During feature extraction, few-shot tasks are not …

This paper presents a framework for automatic face recognition based on a silhouetted face
profile (URxD-PV). Previous research has demonstrated the high discriminative potential of …