Computer Vision
Enabling computers and devices to understand what they see.
Project
Egocentric Action Recognition
In recent years, there has been tremendous progress in video understanding and action recognition. Current algorithms can reliably recognize the action the subject is performing in many unconstrained settings from third person viewpoints. Egocentric action…
Video
Camera-based non-contact health sensing webinar
The SARS-CoV-2 (COVID-19) pandemic is transforming the face of healthcare around the world. One example of this transformation can be seen in the number of medical appointments held via teleconference, which has increased by more…
Webinar
Camera-based non-contact health sensing webinar
In this webinar, Microsoft Principal Researcher Daniel McDuff and University of Washington PhD student Xin Liu will present an overview of computer vision methods that leverage ordinary webcams to measure physiological signals (for example, peripheral…
Project
Physiological Sensing
Our neural physiological sensing algorithms combine accuracy with computational efficiency so that we can enable on device measurement, even using a cellphone.