April 15, 2024, 4:45 a.m. | Walid Hariri

cs.CV updates on arXiv.org arxiv.org

arXiv:2105.03026v2 Announce Type: replace
Abstract: The coronavirus disease (COVID-19) is an unparalleled crisis leading to a huge number of casualties and security problems. In order to reduce the spread of coronavirus, people often wear masks to protect themselves. This makes face recognition a very difficult task since certain parts of the face are hidden. A primary focus of researchers during the ongoing coronavirus pandemic is to come up with suggestions to handle this problem through rapid and efficient solutions. In …

abstract arxiv coronavirus covid covid-19 covid-19 pandemic crisis cs.cv disease face face recognition masks pandemic people protect recognition reduce security type

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Cloud Data Platform Engineer

@ First Central | Home Office (Remote)

Associate Director, Data Science

@ MSD | USA - New Jersey - Rahway

Data Scientist Sr.

@ MSD | CHL - Santiago - Santiago (Calle Mariano)