Main > JHH37
Je Hyeong (John) Hong 
Background -
Research -
Publications -
Teaching
Position: PhD Student
E-mail: jhh37 [at] cam.ac.uk
Office Location: BN4-80
Background
I am a fourth year PhD student in the Computer Vision group under Prof. Roberto Cipolla's guidance. My research has involved developing algorithms and strategies for low-rank optimization problems in computer vision, namely bundle adjustment in 3D vision. Throughout my PhD, I have closely worked with
Dr Andrew Fitzgibbon and
Dr Christopher Zach. My study has been generously funded by
Microsoft Research PhD Scholarship and
Toshiba Research Europe Studentship.
Prior to my PhD, I obtained BA and MEng honours degrees at University of Cambridge.
Research Interests
- Bundle adjustment
- Low-rank matrix factorization problems with missing data
- Bilinear optimization problems in computer vision
Peer-reviewed Publications
- Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
J.H. Hong, C. Zach and A.W. Fitzgibbon
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
[ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
- Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
J.H. Hong, C. Zach, A.W. Fitzgibbon and R. Cipolla
2016 European Conference on Computer Vision (ECCV)
[ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
- Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
J.H. Hong and A.W. Fitzgibbon
2015 IEEE International Conference on Computer Vision (ICCV)
[ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
Talks
- Secrets of Matrix Factorization and its Application to Projective Bundle Adjustment
KIST IMRC lab (Korea), Dec 2016
ETRI (Korea), Aug 2016
- Comparing Matrix Factorization Algorithms on a Level Playing Field [ Video ]
Microsoft Research Cambridge (CamAIML Workshop), Mar 2016
Internships
- Oculus (Facebook), Redmond, USA (2017): I worked with Alexander Fix on an eye-tracking project, developing an optimization strategy using nonlinear least squares and the implicit function theorem.
- Toshiba Research, Cambridge, UK (2017): I worked with Christopher Zach on a global structure-from-motion strategy using the Variable Projection (VarPro) method.
- Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on a projective bundle adjustment project using the Variable Projection (VarPro) method.
- Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.
Teaching
- Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
- Teaching Assistant for a 4th year module 4F13 Machine Learning (2015).
- Research Assistant for i-want-to-study-engineering.org (2013), an online tool to help students prepare for university engineering entrance interviews.
