research
∙
08/14/2023
Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints
Deep learning research has made many biometric recognition solution viab...
share
research
∙
08/14/2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
This paper focuses on the statistical analysis of shapes of data objects...
research
∙
11/27/2022
Fingerprint Pore Detection: A Survey
This work presents the first survey on fingerprint pore detection. The s...
research
∙
08/12/2022
On deceiving malware classification with section injection
We investigate how to modify executable files to deceive malware classif...
research
∙
04/21/2021
Measuring economic activity from space: a case study using flying airplanes and COVID-19
This work introduces a novel solution to measure economic activity throu...
research
∙
09/11/2020
Meta Learning for Few-Shot One-class Classification
We propose a method that can perform one-class classification given only...
research
∙
04/16/2020
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
The COVID-19 outbreak forced governments worldwide to impose lockdowns a...
research
∙
02/05/2020
Level Three Synthetic Fingerprint Generation
Today's legal restrictions that protect the privacy of biometric data ar...
research
∙
03/11/2019
The Unconstrained Ear Recognition Challenge 2019 - ArXiv version With Appendix
This paper presents a summary of the 2019 Unconstrained Ear Recognition ...
research
∙
03/11/2019
The Unconstrained Ear Recognition Challenge 2019
This paper presents a summary of the 2019 Unconstrained Ear Recognition ...
research
∙
11/14/2018
Improving Fingerprint Pore Detection with a Small FCN
In this work, we investigate if previously proposed CNNs for fingerprint...
research
∙
09/26/2018
CNN-based Pore Detection and Description for High-Resolution Fingerprint Recognition
High-resolution fingerprint recognition usually relies on sophisticated ...
research
∙
02/10/2018
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
We describe in this paper Hydra, an ensemble of convolutional neural net...
research
∙
10/20/2017