J
Jeremy Dawson
Researcher at West Virginia University
Publications - 133
Citations - 1316
Jeremy Dawson is an academic researcher from West Virginia University. The author has contributed to research in topics: Convolutional neural network & Facial recognition system. The author has an hindex of 16, co-authored 126 publications receiving 920 citations. Previous affiliations of Jeremy Dawson include University College of Engineering.
Papers
More filters
Proceedings ArticleDOI
Deep Coupled GAN-Based Score-Level Fusion for Multi-Finger Contact to Contactless Fingerprint Matching
TL;DR: A coupled deep learning framework that consists of two Conditional Generative Adversarial Networks to improve interoperability and achieves a high-performance gain by combining multiple fingers of the same subject using a score fusion model.
Proceedings ArticleDOI
Super-resolution Guided Pore Detection for Fingerprint Recognition
TL;DR: In this paper, a joint learning-based approach that combines both super-resolution and pore detection networks is proposed for recovering pore information from low-resolution fingerprints. But the pore features are not usable for fingerprint recognition.
Posted Content
Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction.
TL;DR: In this paper, a new Multi-Task Learning (MTL) paradigm was proposed in which a facial attribute predictor uses the knowledge of other related attributes to obtain a better generalization performance.
Proceedings ArticleDOI
Autofocus for SWIR facial imagery utilizing Haar wavelets
TL;DR: This work developed an electromechanical based system that automatically assesses face image sharpness, prior to capture rather than necessitating post-processing schemes, and discusses the implementation of this system in a live operating environment.
Posted Content
FDeblur-GAN: Fingerprint Deblurring using Generative Adversarial Network
TL;DR: Li et al. as discussed by the authors proposed a fingerprint deblurring model FDeblur-GAN, based on the conditional Generative Adversarial Networks (cGANs) and multi-stage framework of the stack GAN.