266 citations
- Queensland University of TechnologyAU7 papers
- Australian National UniversityAU5 papers
- Commonwealth Scientific and Industrial Research OrganisationAU5 papers
- Data61AU5 papers
- Australian Centre for Robotic VisionAU4 papers
- The University of SydneyAU2 papers
- Baidu (China)CN1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Chinese University of Hong KongHK1 paper
- Drexel UniversityUS1 paper
- Institut Universitaire de FranceFR1 paper
- James Cook UniversityAU1 paper
5 papers · 1 filter
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
Ting Cao, Mohammad Ali Armin, Simon Denman +2
Medical applications have benefited greatly from the rapid advancement in computer vision. Considering patient monitoring in particular, in-bed human posture estimation offers impo…
A Novel Passivity-Based Trajectory Tracking Control For Conservative Mechanical Systems
Robert Mahony
Most passivity based trajectory tracking algorithms for mechanical systems can only stabilise reference trajectories that have constant energy. This paper overcomes this limitation…
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and spec…
Equivariant Systems Theory and Observer Design for Second Order Kinematic Systems on Matrix Lie Groups
Yonhon Ng, Pieter van Goor, Tarek Hamel +1
This paper presents the equivariant systems theory and observer design for second order kinematic systems on matrix Lie groups. The state of a second order kinematic system on a ma…
Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval
Osman Tursun, Simon Denman, Sridha Sridharan +1
Large-scale trademark retrieval is an important content-based image retrieval task. A recent study shows that off-the-shelf deep features aggregated with Regional-Maximum Activatio…