Kun He (何坤)

Research Scientist, Facebook Reality Labs
Redmond, WA

Google Scholar

Note: this page is no longer maintained. New page: kunhe.github.io


I am a research scientist in Facebook Reality Labs, working on the future of Virtual Reality and Augmented Reality. Previously, I earned PhD (2018) and MSc (2013) in computer science from Boston University, advised by Professor Stan Sclaroff. My Bachelor's degree is from Zhejiang University.

I am interested in exploring solutions to computer vision problems using machine learning techniques, and I'm frequently attracted by the optimization aspect in such problems. My PhD dissertation focused on learning vector embeddings for high-dimensional visual data, which finds application in image retrieval and other related vision tasks.

During grad school, I did research internships with Leonid Sigal at Disney Research, and with Yan Lu at Honda Research Institute. I also worked with Pedro Felzenszwalb as a visiting student at Brown University.



Journal Publications


Hashing with Mutual Information [PDF] [arXiv] [Code]
Kun He*, Fatih Cakir*, Sarah Adel Bargal, Stan Sclaroff
(* Equal contribution)
TPAMI 2019


Predicting Foreground Object Ambiguity and Efficiently Crowdsourcing the Segmentation(s) [Project page]
Danna Gurari, Kun He, Bo Xiong, Jianming Zhang, Mehrnoosh Sameki, Suyog Dutt Jain, Stan Sclaroff, Margrit Betke, Kristen Grauman
IJCV 2018

Conference Publications


Deep Metric Learning to Rank [PDF] [Poster] [Code]
Kun He*, Fatih Cakir*, Xide Xia, Brian Kulis, Stan Sclaroff
(* Equal contribution)
CVPR 2019


Generalized Majorization-Minimization [PDF]
Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro Felzenszwalb
ICML 2019


Multilevel Language and Vision Integration for Text-to-Clip Retrieval [arXiv] [Code]
Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko
AAAI 2019


Hashing with Binary Matrix Pursuit [PDF] [Poster]
Fatih Cakir, Kun He, Stan Sclaroff
ECCV 2018


Local Descriptors Optimized for Average Precision [Project page]
Kun He, Yan Lu, Stan Sclaroff
CVPR 2018


Hashing as Tie-Aware Learning to Rank [PDF] [Poster] [Code]
Kun He, Fatih Cakir, Sarah Adel Bargal, Stan Sclaroff
CVPR 2018


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


Parameterizing Object Detectors in the Continuous Pose Space [PDF] [BibTeX] [Poster] [video]
Kun He, Leonid Sigal, Stan Sclaroff
ECCV 2014
[Tech report on implementation]


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



Learning Deep Embeddings by Learning to Rank [PDF]
Kun He
Ph.D. dissertation, Boston University, 2018


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