Google Research

Adarsh Kowdle


I am a Staff Software Engineer and Manager at Google, where I am currently the TLM for the effort around Geometric Perception for AR, working on end-to-end solutions from research to product at the intersection of real-time computer vision, geometric sensing and applied machine learning such as ARCore Depth API. Previously at Google, I was the Hardware/Systems Lead for uDepth: real-time active depth sensing on Pixel 4 that powers Face Unlock and computational photography use cases such as bokeh. Prior to this, I was a Senior Scientist and part of the founding team at perceptiveIO, a Bay Area startup working on bleeding-edge research and products at the intersection of real-time computer vision, applied machine learning, novel displays, sensing, and human-computer interaction. I spent 3 years at Microsoft prior to this. I was working as a Senior SDE / Researcher in the Applied Vision and Imaging Team at Microsoft, where I worked on Surface Hub among other projects. I also worked with the Interactive 3D Technologies group at Microsoft Research at Redmond for 6 months on some great projects such as Holoportation. My areas of interest are computer vision and machine learning with a focus on real-time computer vision applications. I graduated with a PhD in Electrical and Computer Engineering from Cornell University in July 2013. I was advised by Prof. Tsuhan Chen. My thesis focus was on interactive computer vision algorithms and image based modeling; putting the user in the loop intelligently by leveraging the power of the automatic algorithm. Google Scholar

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