858 citations
- The University of AdelaideAU53 papers
- The University of SydneyAU40 papers
- Australian National UniversityAU38 papers
- Queensland University of TechnologyAU28 papers
- Data61AU14 papers
- Monash UniversityAU10 papers
- University of Technology SydneyAU9 papers
- Commonwealth Scientific and Industrial Research OrganisationAU7 papers
- Northwestern Polytechnical UniversityCN7 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- The University of QueenslandAU4 papers
- Vision AustraliaAU4 papers
13 papers · 1 filter
Learning a No-Reference Quality Metric for Single-Image Super-Resolution
Chao Ma, Chih-Yuan Yang, Xiaokang Yang +1
Numerous single-image super-resolution algorithms have been proposed in the literature, but few studies address the problem of performance evaluation based on visual perception. Wh…
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Suchet Bargoti, James Underwood
Ground vehicles equipped with monocular vision systems are a valuable source of high resolution image data for precision agriculture applications in orchards. This paper presents a…
Weekly maintenance scheduling using exact and genetic methods
Andrew W. Palmer, Robin Vujanic, Andrew J. Hill +1
The weekly maintenance schedule specifies when maintenance activities should be performed on the equipment, taking into account the availability of workers and maintenance bays, an…
Almost ISS property for feedback connected systems
Petro Feketa, Humberto Stein Shiromoto, Sergey Dashkovskiy
Small-gain conditions used in analysis of feedback interconnections are contraction conditions which imply certain stability properties. Such conditions are applied to a finite or…
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang, Jürgen Leitner, Michael Milford +1
While deep learning has had significant successes in computer vision thanks to the abundance of visual data, collecting sufficiently large real-world datasets for robot learning ca…
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification
ZongYuan Ge, Chris McCool, Conrad Sanderson +4
Fine-grained classification is a relatively new field that has concentrated on using information from a single image, while ignoring the enormous potential of using video data to i…