Vincent Lui

About
I am currently a research lead at 4DMedical, working on computer vision and image processing for medical imaging modalities such as X-ray fluoroscopies and CT scans. I completed my PhD in computer vision at Monash University in 2016, where I was advised by Professor Tom Drummond.

History
2020-: Research Lead, 4DMedical
2018-20: CV Engineer, Sentient Vision Systems.
2016-18: Post-doc, Australian Centre for Robotic Vision (ACRV)
2012-16: PhD, Computer Vision & Robotics, Monash University.
2008-11: Bachelors of Mechatronics Engineering, Monash University.

Research

Efficient Subpixel Refinement with Symbolic Linear Predictors

Vincent Lui, Jonathon Geeves, Winston Yii, Tom Drummond

Computer Vision and Pattern Recognition (CVPR), 2018.

This paper presents an efficient learning-based approach for performing subpixel refinement without compromising accuracy.

pdf

MO-SLAM: Multi-Object SLAM with Run Time Duplicate Object Discovery

Thanuja Dharmasiri, Vincent Lui, Tom Drummond

IEEE/RSJ International Conference on Intelligent Robotics and Systems (IROS), 2016.

This paper presents a real-time monocular SLAM system capable of discovering duplicate objects in the scene without relying on a pre-built object database.

pdf | video

Fast Inverse Compositional Image Alignment with Missing Data and Re-weighting

Vincent Lui, Dinesh Gamage, Tom Drummond

British Machine Vision Conference (BMVC), 2015.

This paper presents an inverse compositional image alignment algorithm which handles missing data and allows re-weighting to be performed without requiring a re-computation of the Jacobian matrix.

pdf | code

Image Based Optimization without Global Consistency for Constant Time Monocular Visual SLAM

Vincent Lui, Tom Drummond

International Conference on Robotics and Automation (ICRA), 2015.

This paper presents a monocular visual SLAM system which operates without global consistency, relying on a redundant sparse image graph which is built using pairwise images that overlap on the same scene and optimised using cheap local bundle adjustments.

pdf | video

An Iterative 5-Point Algorithm for Fast and Robust Essential Matrix Estimation

Vincent Lui, Tom Drummond

British Machine Vision Conference (BMVC), 2013.

This paper presents a novel algorithm for calculating epipolar geometry from 5 correspondences. The algorithm directly solves for the orientation of each camera relative to the baseline that separates them and is able to impose the half plane constraints that arise from the requirement that visible landmarks must be in front of both cameras.

pdf | code | video