David Hall

Orcid: 0000-0002-5520-0128

Affiliations:
  • Queensland University of Technology (QUT), Brisbane, Australia


According to our database1, David Hall authored at least 15 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research.
Int. J. Robotics Res., 2022

Retrospectives on the Embodied AI Workshop.
CoRR, 2022

2021
Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
The Robotic Vision Scene Understanding Challenge.
CoRR, 2020

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots.
CoRR, 2020

Probabilistic Object Detection: Definition and Evaluation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
A probabilistic challenge for object detection.
Nat. Mach. Intell., 2019

The Probabilistic Object Detection Challenge.
CoRR, 2019

What Can Robotics Research Learn from Computer Vision Research?
Proceedings of the Robotics Research, 2019

Benchmarking Sampling-based Probabilistic Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.
CoRR, 2018

A rapidly deployable classification system using visual data for the application of precision weed management.
Comput. Electron. Agric., 2018

2017
A transplantable system for weed classification by agricultural robotics.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Towards unsupervised weed scouting for agricultural robotics.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015
Evaluation of Features for Leaf Classification in Challenging Conditions.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015


  Loading...