The Vision and Image Processing (VIP) lab consists of four faculty members in Systems Design Engineering and their graduate students. It was formed in 1980 by Professor Ed Jernigan and his students at the time, growing out of a series of weekly meetings spent discussing research topics of the day, specifically vision models, perception, image and signal processing, pattern recognition, machine learning, and artificial intelligence.

The VIP Lab is dedicated to understanding visual processes and finding solutions for the outstanding problems in visual perception and processing. For specific examples of our work, see Research Topics and Demos.

With four faculty members and over forty graduate students at any given time, the VIP lab carries on a wide variety of research projects. VIP lab members have on-going collaborations with researchers and companies across many disciplines. For more information, see Collaborators and Partners.

The VIP Lab, a proud member of Partnership on AI, is also focused on pushing the boundaries of AI by tackling the key operational challenges surrounding widespread adoption of AI and enabling AI to become an empowering technology for anyone, anywhere, anytime. Towards this goal, two of the key areas of research interest for the VIP Lab are scalable AI (through human-machine collaborative design empowered by AI building AI), and transparent and responsible AI (through AI explaining AI), both of which are key to enabling widespread ethical use of AI for real-world societal impact.