George De Ath
Title
Cited by
Cited by
Year
The Sixth Visual Object Tracking VOT2018 Challenge Results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
European Conference on Computer Vision (ECCV) Workshops, 3-53, 2018
3372018
The Seventh Visual Object Tracking VOT2019 Challenge Results
M Kristan, J Matas, A Leonardis, M Felsberg, R Pflugfelder, ...
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019
1212019
Greed is good: Exploration and exploitation trade-offs in Bayesian optimisation
G De Ath, RM Everson, AAM Rahat, JE Fieldsend
ACM Transactions on Evolutionary Learning and Optimization 1 (1), 1-22, 2021
62021
Visual Object Tracking: The Initialisation Problem
G De Ath, R Everson
15th Conference on Computer and Robot Vision (CRV), 142-149, 2018
62018
ϵ-shotgun: ϵ-greedy batch bayesian optimisation
G De Ath, RM Everson, JE Fieldsend, AAM Rahat
Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 787-795, 2020
3*2020
What do you mean? the role of the mean function in bayesian optimisation
G De Ath, JE Fieldsend, RM Everson
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
22020
Part-based Tracking by Sampling
G De Ath, R Everson
arXiv preprint arXiv:1805.08511v2, 2019
22019
Object Tracking in Video with Part-Based Tracking by Feature Sampling
G De Ath
University of Exeter, 2019
12019
How Bayesian Should Bayesian Optimisation Be?
G De Ath, RM Everson, JE Fieldsend
arXiv e-prints, arXiv: 2105.00894, 2021
2021
Asynchronous ε-Greedy Bayesian Optimisation
G De Ath, JE Fieldsend, RM Everson
arXiv preprint arXiv:2010.07615, 2020
2020
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Articles 1–10