In this paper, we present EdgeFace-a lightweight and efficient face recognition network
inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of …

Modern deep CNN face matchers are trained on datasets containing" color" images. We
show that such matchers achieve essentially the same accuracy on color images when …

Recently, the field of Image Coding for Machines (ICM) has garnered heightened interest
and significant advances thanks to the rapid progress of learning-based techniques for …

This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …

Face recognition technology, though undeniably transformative in its technical evolution,
remains conspicuously underleveraged in humanitarian endeavors. This survey highlights …

Trithorax-related H3K4 methyltransferases, KMT2C and KMT2D, are critical epigenetic
modifiers. Haploinsufficiency of KMT2C was only recently recognized as a cause of …

The goal of the project" Facial Metrics for EES" is to develop, implement and publish an
open source algorithm for the quality assessment of facial images (OFIQ) for face …

Abstract Aiming to enhance Face Recognition (FR) on Low-Quality (LQ) inputs, recent
studies suggest incorporating synthetic LQ samples into training. Although promising, the …

Among the existing deep learning-based person re-identification (ReID) methods, human
parsing based on semantic segmentation is the most promising solution for ReID because …