YiChang Shih
施易昌

Curriculum Vitae            | Google Scholar | LinkedIn

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I'm interested in vision and graphics problems, including their AI models, system design, and computation methods. I currently lead a team building on-device Gen-AI and Machine Learning solutions for the Google Pixel Camera series. We deliver end-to-end solutions across engineering and research boundary. See more info in the C.V..

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I enjoy working with interns. Please contact me if you are interested in internship. I have been lucky to work with the following interns so far:

• Kai-En Lin: from UCSD, on Object NeRF (2021)

• Chen Gao: from Virginia Tech, on Portrait NeRF (2020)

• Zixun Yu: from Purdue, on portrait image enhancement (2019)

• Wei-Shang Lai: from UC Merced, on wide-angle portrait distortion correction (2018)

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Public Talks:

 3/1/2023: Stanford SCIEN seminar: Mobile Computational Photography with Ultrawide and Telephoto Lens.

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Short Bio

Before Google, I was a Research Scientist at LightCo, where we launched the very first (and super cool) L16 camera (Verge).  

 

I received my Ph.D. from MIT CSAIL in 2015, advised by Frédo Durand and Bill Freeman on Computer Vision, and Computer Graphics, and Computational Photography. My PhD research was about  data-driven graphics. By leveraging repetitive visual-information and high quality examplars, my thesis explores advanced image editing algorithms. I've worked on hardware devices for imaging and enhancement during my master in MIT.

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During internship, I had great intern opportunities to work with Jon Barron and Marc Levoy (Google[x], 2014), Sylvain Paris and Connelly Barnes (Adobe Research , 2013), Vivek Kwatra and Troy Chinen (Google Research , 2012) Neel Joshi and Brian Guenter. (Microsoft Research, 2011).