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Jalali Lab Open-Sources VEViD for Realtime Low-Light Enhancement of High Resolution Video

Nov 30, 2022

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

Nov 22, 2022

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

Nov 20, 2022

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...

Recent Posts

  • RF Communication and Sensing in Harsh Environments
  • Jalali-Lab Delivered a Successful Academic Lecture on PhyCV at Qualcomm
  • Jalali Lab Open-Sources VEViD for Realtime Low-Light Enhancement of High Resolution Video
  • Introducing VEViD: Realtime Low-Light Enhancement Algorithm Inspired by Physics
  • “Physics-AI Symbiosis”: How Physics and Artificial Intelligence Converge

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Engineer Change.

UCLA Samueli School of Engineering
Department of Electrical and Computer Engineering
Los Angeles, CA 90095

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Bahram Jalali
Phone: (310) 825-9655
Email: jalali@ee.ucla.edu
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