Main > JHH37
Je Hyeong (John) Hong 
Background -
Research -
Publications -
Teaching
Position: PhD Candidate
E-mail: jhh37 [at] cam.ac.uk
Office Location: BN4-80
I was a PhD student in the Computer Vision group under
Prof. Roberto Cipolla's guidance. My research involved developing algorithms and strategies for low-rank optimization problems in computer vision, namely bundle adjustment in 3D vision. During my PhD, I closely worked with
Dr Andrew Fitzgibbon and
Dr Christopher Zach. My study was generously funded by
Microsoft Research PhD Scholarship and
Toshiba Research Europe Studentship.
[ UPDATES ]
- [10 May 2018] A patch for Ceres Solver implementing VarPro is available here.
- [19 May 2018] I will attend a graduation ceremony in Cambridge.
- [17 June 2018] I will leave Snap and travel to Salt Lake City for a poster presentation at CVPR.
- [25 June 2018] I will be starting my new job at the Korea Institute of Science and Technology (KIST) in Seoul.
Background
I obtained BA and MEng honours degrees from the University of Cambridge. You can find my CV
here.
Research Interests
- Low-rank matrix factorization problems with missing data
- Structure-from-motion including bundle adjustment
- Bivariate and other nonlinear optimization problems
Publications
- pOSE: Pseudo Object Space Error for Initialization-free Bundle Adjustment
J.H. Hong and C. Zach
2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), to appear.
[ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
- 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 ] [ Code ]
- 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 ]
Internships
- Snap, Los Angeles, USA (2018): I am working with Oliver Woodford and Ed Rosten on a large-scale optimization project.
- 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, Cambridge, UK (2015, 2017): I worked with Christopher Zach on a projective bundle adjustment project and a global structure-from-motion strategy using the Variable Projection (VarPro) method.
- Microsoft, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.
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
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.
