Low-resolution face recognition in the wild via selective knowledge distillation

S Ge, S Zhao, C Li, J Li - IEEE Transactions on Image …, 2018 - ieeexplore.ieee.org
Typically, the deployment of face recognition models in the wild needs to identify low-
resolution faces with extremely low computational cost. To address this problem, a feasible …

Privacy-preserving action recognition for smart hospitals using low-resolution depth images

E Chou, M Tan, C Zou, M Guo, A Haque… - arXiv preprint arXiv …, 2018 - arxiv.org
Computer-vision hospital systems can greatly assist healthcare workers and improve
medical facility treatment, but often face patient resistance due to the perceived …

Student attendance system in crowded classrooms using a smartphone camera

D Mery, I Mackenney… - 2019 IEEE Winter …, 2019 - ieeexplore.ieee.org
To follow the attendance of students is a major concern in many educational institutions. The
manual management of the attendance sheets is laborious for crowded classrooms. In this …

Face recognition in low-quality images using adaptive sparse representations

D Heinsohn, E Villalobos, L Prieto, D Mery - Image and Vision Computing, 2019 - Elsevier
Although unconstrained face recognition has been widely studied over the recent years,
state-of-the-art algorithms still result in an unsatisfactory performance for low-quality images …

Automatic attendance management system based on deep one-shot learning

AG Menezes, JMDC Sá, E Llapa… - … on Systems, Signals …, 2020 - ieeexplore.ieee.org
Due to the positive relationship between the presence of students in classes and their
performance, student attendance assessment is considered essential within the classroom …