Kun Duan

Computer Scientist
GE Global Research
Niskayuna, New York
kun.duan@ge.com

I'm currently a computer scientist in the Computer Vision and Image Analytics Lab of GE Global Research. I obtained my PhD in computer science from Indiana University Bloomington in 2014. My advisor is Prof. David Crandall. My research interests include various topics of computer vision and machine learning. As a PhD student, I worked as research interns at TTI-Chicago (TTIC), eBay Research Labs (eRL), Xerox Research Centre Europe (XRCE) and A9.com.

Check out my profile page at LinkedIn and Google Scholar.

Papers

Procrustean Decomposition for Orthogonal Cascade Detection
Kun Duan, Wei Wang, Ting Yu.
WACV 2016
MIDI-Assisted Egocentric Optical Music Recognition
Liang Chen, Kun Duan.
WACV 2016
Learning Patch-Dependent Kernel Forest for Person Re-Identification
Wei Wang, Ali Taalimi, Kun Duan, Rui Guo, Hairong Qi.
WACV 2016
Human Pose Estimation via Multi-layer Composite Models
Kun Duan, Dhruv Batra, David Crandall.
Elsevier Signal Processing Journal 2015
Conditional Random Field Models for Structured Visual Object Recognition
Kun Duan.
PhD Thesis 2014
Attribute-based Vehicle Recognition using Viewpoint-aware Multiple Instance SVMs
Kun Duan, Luca Marchesotti, David Crandall.
WACV 2014
Multimodal Learning in Loosely-organized Web Images
Kun Duan, David Crandall, Dhruv Batra.
CVPR 2014
A Multi-layer Composite Model for Human Pose Estimation
Kun Duan, Dhruv Batra, David Crandall.
BMVC 2012
Discovering Localized Attributes for Fine-grained Recognition
Kun Duan, Devi Parikh, David Crandall, Kristen Grauman.
CVPR 2012
Alleviating Cold- Start Problem by Using Implicit Feedback
Lei Zhang, Xiang-wu Meng, Jun-liang Chen, Si-cheng Xiong, Kun Duan.
ADMA 2009
Personalized service recommendation algorithm
Lei Zhang, Xiang-wu Meng, Jun-liang Chen, Kun Duan, Yong Peng.
ICCSIT 2009
BP Neural Network- based Collaborative Filtering Recommendation Algorithm
Lei Zhang, Xiang-wu Meng, Jun-liang Chen, Xiaoyan Shen, Kun Duan.
BUPT Journal (Vol.6) 2009