Kun He | BUCS


PhD candidate, Computer Science, Boston University
111 Cummington Mall, Room 210
Boston, MA 02215

CV (updated Sep 2015)

S’17 CS591-S2 office hours: Tue,Wed 11am-12pm in CS undergrad lab


PhD candidate in computer science, member of Image and Video Computing Group, advised by Prof. Stan Sclaroff.
I enjoy exploring solutions to computer vision problems using machine learning techniques, examples include object recognition, pose estimation, and hashing. I'm frequently attracted by the optimization aspect (stochastic, non-convex, etc.) in such problems.

I obtained my Master of Science degree in computer science from Boston University in January 2014, and my Bachelor of Engineering degree (with honors) in computer science and engineering from Zhejiang University in June 2010.

I spent two enjoyable research internships during Fall 2013 and Summer 2015 working with Dr. Leon Sigal at Disney Research Pittsburgh, on projects related to object recognition. During the 2013 internship I was also fortunate to work with Prof. Yisong Yue and Dr. Sarah Taylor on improving Dynamic Visemes using structured learning.

In spring 2014 I was a visiting PhD student at Brown University, collaborating with Prof. Pedro Felzenszwalb's group.


Publications and Theses

My Google Scholar profile


Generalized Majorization-Minimization [arXiv]
Sobhan Naderi Parizi, Kun He, Stan Sclaroff, and Pedro Felzenszwalb
arXiv pre-print, 2015


Parameterizing Object Detectors in the Continuous Pose Space [PDF] [BibTeX] [poster] [video]
Kun He, Leonid Sigal, and Stan Sclaroff
European Conference on Computer Vision (ECCV) 2014


Stochastic Functional Descent for Learning Support Vector Machines [PDF]
Kun He
M.Sc. thesis, August 2013


Scale Resilient, Rotation Invariant Articulated Object Matching [PDF] [BibTeX]
Hao Jiang, Tai-Peng Tian, Kun He, and Stan Sclaroff
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012

Other Essays