Jalali Lab

News & Announcements
Jalali Lab Open-Sources VEViD for Realtime Low-Light Enhancement of High Resolution Video
We are happy to announce the release of our new physics-inspired low-light image enhancement algorithm VEViD to PhyCV. VEViD, or Vision Enhancement via Virtual Diffraction and Coherent Detection, was recently introduced in a publication in eLight. The algorithm...
Introducing VEViD: Realtime Low-Light Enhancement Algorithm Inspired by Physics
We are proud to introduce a powerful low-light enhancement algorithm, VEViD. It builds on more than two decades of research in optical physics in our laboratory and has direct applications in augmented reality, night-time driving, biology, and space exploration. The...
“Physics-AI Symbiosis”: How Physics and Artificial Intelligence Converge
Check out our latest publication entitled "Physics-AI Symbiosis" that just appeared as an invited paper in Machine Learning: Science and Technology! As a mix of perspective and review, the paper explores emerging ideas in which physics is blended with AI to extend the...