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Human-Centered Visual Computing: Jointly Optimizing Computer Architecture, Imaging, and Biological Perception

Computer Architecture Seminar

Location: EER 0.806
Yuhao Zhu
University of Rochester

Abstract: 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 talk about in-sensor visual computing, the idea that co-designing the image sensor with the computer systems will significantly improve the overall system efficiency and, perhaps more importantly, unlock new machine capabilities. We will show a number of case studies in AR/VR and autonomous machines. I will then discuss our work on human-systems co-optimizations, where we exploit human color vision to build energy-efficient AR/VR devices. 

Bio: Yuhao Zhu is an Assistant Professor of Computer Science and Brain and Cognitive Sciences at University of Rochester. He holds a Ph.D. from The University of Texas at Austin. His work is recognized by multiple IEEE Micro Top Picks in Computer Architecture designations and a number of best paper awards/nominations in computer architecture, Virtual Reality, and visualization. More about his research can be found at:

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