Qi Li

Qi Li received the BSc degree in Automation from China University of Petroleum, and Ph.D degree in Pattern Recognition and Intelligent System from NLPR, CASIA in 2011 and 2016, respectively. Since July 2016, Dr. Qi Li has joined the Institute of Automation, Chinese Academy of Sciences where he is currently an Associate Professor. His current research focuses on computer vision, biometrics and face preprocessing etc.

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Research

I'm interested in computer vision, machine learning, optimization, and image processing. Much of my research is about inferring the physical world (shape, motion, color, light, etc) from images. Representative papers are highlighted.

blind-date Blind Date: Using Proper Motions to Determine the Ages of Historical Images
Jonathan T. Barron, David W. Hogg, Dustin Lang, Sam Roweis
The Astronomical Journal, 136, 2008

Using the relative motions of stars we can accurately estimate the date of origin of historical astronomical images.
clean-usnob Deep supervised discrete hashing, Neural Information Processing Systems
Qi Li, Christopher Stumm, Zhenan Sun, Ran He, Tieniu Tan
NIPS, 135, 2017

We use computer vision techniques to identify and remove diffraction spikes and reflection halos in the USNO-B Catalog.

In use at Astrometry.net


Using Leonid Keselman's Jekyll fork of this page.