Changyin Zhou

read as /chan in chou/

　

 　
　 Ph.D Student 　 　 　
　 CAVE Lab, Department of Computer Science 　 Office: 616 CEPSR 　
　 Columbia University in the City of New York 　 Telephone: 1-212-939-7090 　
　 New York, NY 10027 　 Email: changyin AT cs.columbia.edu 　
　 　 　 　 　 　
　

Hello, my name is Changyin Zhou. I am a Ph.D student in the CAVE lab of Computer Science Department, Columbia University. My advisors are Prof. Shree Nayar and Prof. Peter Belhumeur. My current research interests in computer vision include computational imaging and physics-based vision.

Before coming to Columbia University, I have got my M.S. in Computer Science and B.S. in Statistics, both from Fudan University, China. I worked for Microsoft Global Technical Engineering Center as an engineer from 2001 to 2003, and worked for Microsoft Research Asia as a visiting student supervised by Dr. Steve Lin from 2006 to 2007.

 　
　 　 　 　 　 　

　

　 　
　 Publications
　 　 　 　
　 　 Coded Aperture Pairs for Depth from Defocus (oral)

Changyin Zhou, Stephen Lin, and Shree Nayar

IEEE International Conference on Computer Vision, ICCV 2009

　 　 　 　
　 　 What are Good Apertures for Defocus Deblurring?

Changyin Zhou and Shree Nayar

IEEE International Conference on Computational Photography, ICCP 2009.

[project page] [pdf] [Slides]
　 　 　 　
　 　 Flexible Depth of Field Photography (oral)

Hajime Nagahara, Sujit Kuthirummal, Changyin Zhou, and Shree Nayar

European Conference on Computer Vision, ECCV 2008

[project page] [pdf]
　 　 　 　
　 　 Removal of Image Artifacts Due to Sensor Dust (oral)

Changyin Zhou and Stephen Lin

IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2007

[pdf]
　 　 　 　
　 　 Improving Nearest Neighbor Classification with Cam Weighted Distance

Changyin Zhou and Yanqiu Chen

Pattern Recognition, Volume 39, Issue 4, Pages 635-645, 2006

[pdf]
　 　 　 　

　

　 　
　 Teaching Assistant
　 　 　 　
　
  • COMS W4731: Computer Vision, Fall 2008
　
  • COMS E6732: Computational Imaging, Spring 2008
　
  • Design and Analysis of Algorithms, CSE, Fudan University, Fall 2005

　

　 　
　 Resources
　 　 　 　
　
  • Good to Read - A paper list on computer vision related topics