Kun He | BUCS


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



PhD candidate in computer science, member of Image and Video Computing Group, advised by Prof. Stan Sclaroff. I obtained my M.Sc. degree in computer science from Boston University in 2013, and my B.Sc. degree (with honors) in computer science from Zhejiang University in 2010.

I'm interested in exploring solutions to computer vision problems using machine learning techniques, and I'm frequently attracted by the optimization aspect in such problems. Currently my focus is on hashing and metric learning for image retrieval and other related vision tasks.

I did a few research internships: with Dr. Yan Lu at Honda Research Institute during Summer 2017, and with Dr. Leonid Sigal at Disney Research Pittsburgh during Summer 2015 and Fall 2013. In Spring 2014 I was a visiting student in Prof. Pedro Felzenszwalb's group at Brown University.

Here is my CV (updated August 2017)



Google Scholar profile


Hashing as Tie-Aware Learning to Rank [arXiv]
Kun He, Fatih Cakir, Sarah Adel Bargal, and Stan Sclaroff
arXiv pre-print, 2017


MIHash: Online Hashing with Mutual Information [arXiv] [code]
Kun He*, Fatih Cakir*, Sarah Adel Bargal, and Stan Sclaroff
(* Equal contribution)
ICCV, 2017


Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s) [arXiv]
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, and Kristen Grauman
arXiv pre-print, 2017


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
ECCV, 2014
[Tech report on implementation]


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


Scale Resilient, Rotation Invariant Articulated Object Matching [PDF] [BibTeX]
Hao Jiang, Tai-Peng Tian, Kun He, and Stan Sclaroff
CVPR, 2012