Kun He | BUCS

Kun 

hk
PhD candidate, Computer Science, Boston University
IVC

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Curriculum Vitae (updated Feb 2018)
Google Scholar

About

PhD candidate in computer science, advised by Prof. Stan Sclaroff. I obtained my MSc degree in computer science from Boston University in 2013, and my BSc degree (with honors) in computer science from Zhejiang University in 2010.

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. I have worked on topics in object detection, pose estimation, and image segmentation. Currently my focus is on learning vector embeddings for high-dimensional images/videos, which finds application in image retrieval and other related vision tasks.

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

News

Publications

Preprints

Text2Clip 

Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning [arXiv]
Huijuan Xu, Kun He, Leonid Sigal, Stan Sclaroff, Kate Saenko

MIHash 

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

Journal Publications

ambiguous 

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

Conference Publications

DOAP 

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

TALR 

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

MIHash 

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

eccv14 

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

cvpr12 

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

Others

G-MM 

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

msthesis 

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

Teaching

Misc