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Michael Burke
Michael Burke
Monash University
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques
M Ngxande, JR Tapamo, M Burke
2017 pattern recognition Association of South Africa and Robotics and …, 2017
1532017
Residual learning from demonstration
T Davchev, KS Luck, M Burke, F Meier, S Schaal, S Ramamoorthy
IEEE Robotics and Automation Letters, 2022, 2022
652022
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video
M Jaques, M Burke, T Hospedales
ICLR 2019, 2019
64*2019
Path-following control of a velocity constrained tracked vehicle incorporating adaptive slip estimation
M Burke
2012 IEEE International Conference on Robotics and Automation, 97-102, 2012
562012
Bias remediation in driver drowsiness detection systems using generative adversarial networks
M Ngxande, JR Tapamo, M Burke
IEEE Access 8, 55592-55601, 2020
492020
Estimating missing marker positions using low dimensional Kalman smoothing
M Burke, J Lasenby
Journal of biomechanics 49 (9), 1854-1858, 2016
492016
Vid2Param: Modelling of Dynamics Parameters From Video
M Asenov, M Burke, D Angelov, T Davchev, K Subr, S Ramamoorthy
IEEE ROBOTICS AND AUTOMATION LETTERS 5 (2), 2872-2872, 2020
32*2020
Disentangled Relational Representations for Explaining and Learning from Demonstration
Y Hristov, D Angelov, M Burke, A Lascarides, S Ramamoorthy
Conference on Robot Learning (CoRL), 2019
302019
Challenges of driver drowsiness prediction: The remaining steps to implementation
E Perkins, C Sitaula, M Burke, F Marzbanrad
IEEE Transactions on Intelligent Vehicles 8 (2), 1319-1338, 2022
262022
Pantomimic gestures for human–robot interaction
M Burke, J Lasenby
IEEE Transactions on Robotics 31 (5), 1225-1237, 2015
252015
Time-varying causality between equity and currency returns in the United Kingdom: Evidence from over two centuries of data
P Kanda, M Burke, R Gupta
Physica A: Statistical Mechanics and its Applications 506, 1060-1080, 2018
242018
From explanation to synthesis: Compositional program induction for learning from demonstration
M Burke, S Penkov, S Ramamoorthy
Robotics: Science and Systems, 2019
232019
Newtonianvae: Proportional control and goal identification from pixels via physical latent spaces
M Jaques, M Burke, TM Hospedales
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
222021
Composing Diverse Policies for Temporally Extended Tasks
D Angelov, Y Hristov, M Burke, S Ramamoorthy
Robotics and Automation Letters (RA-L), 2020
192020
Learning rewards from exploratory demonstrations using probabilistic temporal ranking
M Burke, K Lu, D Angelov, A Straižys, C Innes, K Subr, S Ramamoorthy
Autonomous Robots 47 (6), 733-751, 2023
15*2023
Hybrid system identification using switching density networks
M Burke, Y Hristov, S Ramamoorthy
Conference on Robot Learning (CoRL), 2019
152019
Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms
M Ngxande, JR Tapamo, M Burke
2020 International SAUPEC/RobMech/PRASA Conference, 2020
142020
Intelligent robotic sonographer: Mutual information-based disentangled reward learning from few demonstrations
Z Jiang, Y Bi, M Zhou, Y Hu, M Burke, N Navab
The International Journal of Robotics Research 43 (7), 981-1002, 2024
132024
DepthwiseGANs: Fast training generative adversarial networks for realistic image synthesis
M Ngxande, JR Tapamo, M Burke
2019 Southern African Universities Power Engineering Conference/Robotics and …, 2019
112019
Learning structured representations of spatial and interactive dynamics for trajectory prediction in crowded scenes
T Davchev, M Burke, S Ramamoorthy
IEEE Robotics and Automation Letters 6 (2), 707-714, 2020
9*2020
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