114 citations · 150 across the 12 of their papers we have counts for
12 papers
Biometrics in the Time of Pandemic: 40% Masked Face Recognition Degradation can be Reduced to 2%
Leonardo Queiroz, Kenneth Lai, Svetlana Yanushkevich +1
In this study of the face recognition on masked versus unmasked faces generated using Flickr-Faces-HQ and SpeakingFaces datasets, we report 36.78% degradation of recognition perfor…
Counter-Epidemiological Projections of e-Coaching
Kenneth Lai, Svetlana Yanushkevich, Vlad Shmerko
This paper considers e-coaching at times of pandemic. It utilizes the Emergency Management Cycle (EMC), a core doctrine for managing disasters. The EMC dimensions provide a useful…
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Ziyi Liu, Jie Yang, Mengchen Lin +3
Currently, face detection approaches focus on facial information by varying specific parameters including pose, occlusion, lighting, background, race, and gender. These studies onl…
Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt
Kenneth Lai, Svetlana N. Yanushkevich
Assessment of risks of pandemics to communities and workplaces requires an intelligent decision support system (DSS). The core of such DSS must be based on machine reasoning techni…
Decision Support for Video-based Detection of Flu Symptoms
Kenneth Lai, Svetlana N. Yanushkevich
The development of decision support systems is a growing domain that can be applied in the area of disease control and diagnostics. Using video-based surveillance data, skeleton fe…
Multi-Metric Evaluation of Thermal-to-Visual Face Recognition
Kenneth Lai, Svetlana N. Yanushkevich
In this paper, we aim to address the problem of heterogeneous or cross-spectral face recognition using machine learning to synthesize visual spectrum face from infrared images. The…