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. I work in collaboration with
Dr Andrew Fitzgibbon and
Dr Christopher Zach. My study has been generously funded by
Microsoft Research Scholarship and
Toshiba Research Europe Studentship.
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 (CVPR 2017)
[ 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 (ECCV 2016)
[ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
- Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
J.H. Hong and A.W. Fitzgibbon (ICCV 2015)
[ 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
- Toshiba Research, UK (2017): I am currently working with Christopher Zach on robust bundle adjustment.
- Toshiba Research, UK (2015): I interned for 13 weeks working on the projective bundle adjustment project.
- Microsoft Research, UK (2014): I interned for 12 weeks working on the problem of 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.
