Willie Brink

Orcid: 0000-0002-4081-8232

According to our database1, Willie Brink authored at least 13 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Scaling multi-agent reinforcement learning to full 11 versus 11 simulated robotic football.
Auton. Agents Multi Agent Syst., June, 2023

Deep learning approaches to landmark detection in tsetse wing images.
PLoS Comput. Biol., 2023

2022
Jacobian Norm Regularisation and Conditioning in Neural ODEs.
Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

2021
BINet: A binary inpainting network for deep patch-based image compression.
Signal Process. Image Commun., 2021

A Probabilistic Graphical Model Approach to the Structure-and-Motion Problem.
CoRR, 2021

Mava: a research framework for distributed multi-agent reinforcement learning.
CoRR, 2021

Towards the Localisation of Lesions in Diabetic Retinopathy.
Proceedings of the Intelligent Computing, 2021

Improving the Performance of Image Captioning Models Trained on Small Datasets.
Proceedings of the Artificial Intelligence Research - Second Southern African Conference, 2021

2020
Image identification of Protea species with attributes and subgenus scaling.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
Towards Automating Healthcare Question Answering in a Noisy Multilingual Low-Resource Setting.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2015
Pose Uncertainty in Occupancy Grids through Monte Carlo Integration.
J. Intell. Robotic Syst., 2015

2012
Probabilistic outlier removal for robust landmark identification in stereo vision based SLAM.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2008
Indexing Uncoded Stripe Patterns in Structured Light Systems by Maximum Spanning Trees.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008


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