ScienceDaily: Computers & Math News

A team of researchers has developed novel approaches using computer vision and deep learning to resolve the problem of low-level vision in videos caused by rain and night-time conditions, as well as improve the accuracy of 3D human pose estimation in videos.

Researchers have adapted deep learning techniques in a multi-object tracking framework, overcoming short-term occlusion and achieving remarkable performance without sacrificing computational speed.

Scientists at Tohoku University and colleagues in Japan have developed a mathematical model that helps predict the tiny changes in carbon-based materials that could yield interesting properties.

Researchers are using computer models to simulate COVID-19 infections on a cellular level which allows for virtual trials of drugs and vaccines, opening the possibility of pre-assessment for drug and vaccine efficacy against the virus.