Blendface: Re-designing identity encoders for face-swap**
The great advancements of generative adversarial networks and face recognition models in
computer vision have made it possible to swap identities on images from single sources …
computer vision have made it possible to swap identities on images from single sources …
Edgeface: Efficient face recognition model for edge devices
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 …
inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of …
Rate-distortion-cognition controllable versatile neural image compression
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 …
and significant advances thanks to the rapid progress of learning-based techniques for …
Our deep cnn face matchers have developed achromatopsia
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 …
show that such matchers achieve essentially the same accuracy on color images when …
Efar 2023: Efficient face recognition competition
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 …
at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition …
Beyond shadows and light: Odyssey of face recognition for social good
Face recognition technology, though undeniably transformative in its technical evolution,
remains conspicuously underleveraged in humanitarian endeavors. This survey highlights …
remains conspicuously underleveraged in humanitarian endeavors. This survey highlights …
Pathogenic variants in KMT2C result in a neurodevelopmental disorder distinct from Kleefstra and Kabuki syndromes
D Rots, S Choufani, V Faundes… - The American Journal of …, 2024 - cell.com
Trithorax-related H3K4 methyltransferases, KMT2C and KMT2D, are critical epigenetic
modifiers. Haploinsufficiency of KMT2C was only recently recognized as a cause of …
modifiers. Haploinsufficiency of KMT2C was only recently recognized as a cause of …
State of the art of quality assessment of facial images
J Merkle, C Rathgeb, B Tams, DP Lou, A Dörsch… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …
open source algorithm for the quality assessment of facial images (OFIQ) for face …
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
Abstract Aiming to enhance Face Recognition (FR) on Low-Quality (LQ) inputs, recent
studies suggest incorporating synthetic LQ samples into training. Although promising, the …
studies suggest incorporating synthetic LQ samples into training. Although promising, the …
Face and body-shape integration model for cloth-changing person re-identification
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 …
parsing based on semantic segmentation is the most promising solution for ReID because …