Harvesting Computer Science-Vision Science Symbiosis: A Case Study on Color Vision

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• Yuhao Zhu, University of Rochester
• Thursday 07 September 2023, 11:00-12:00
• SS03 - William Gates Building.

If you have a question about this talk, please contact Rafal Mantiuk.

Emerging platforms such as Augmented Reality (AR), Virtual Reality (VR), and autonomous machines, while are of a computing nature, intimately interact with both the environment and humans. They must be built, from the ground up, with principled considerations of three main components: imaging, computer systems, and human perception. This talk will make a case for this tenet and discuss some of our recent work on this front.

I will first describe our work on in-sensor visual computing, the idea that co-designing the image sensor with the computer systems will significantly improve the overall system efficiency and unlock new capabilities. I will then discuss our work on human-systems co-optimization, where we model the eccentricity-contingent color discrimination and leverage such models to reduce the energy consumption of head-mounted displays such as Augmented/Virtual Reality.

Bio: Yuhao Zhu is an Assistant Professor of Computer Science and Brain and Cognitive Sciences at University of Rochester. He holds a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin and was a visiting researcher at Harvard University and Arm Research. His research group focuses on visual computing, spanning imaging, computer systems, and human visual perception. His research has two complementary aspects: to leverage human perception for enhancing computing and imaging systems, while also developing imaging and computational tools that advance our understanding of human perceptions. More about his research can be found at: https://horizon-lab.org/.

To join online: https://cl-cam-ac-uk.zoom.us/j/94192003313?pwd=ZXM5WVlKcWNCME1WaGJreGNVVU9Kdz09

This talk is part of the Rainbow Group Seminars series.

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