Mark De Deuge
Mark De Deuge
Australian Centre for Field Robotics
Verified email at acfr.usyd.edu.au
TitleCited byYear
Scan segments matching for pairwise 3D alignment
B Douillard, A Quadros, P Morton, JP Underwood, M De Deuge, ...
2012 IEEE International Conference on Robotics and Automation, 3033-3040, 2012
512012
Unsupervised Feature Learning for Classification of Outdoor 3D Scans
M De Deuge, A Quadros, C Hung, B Douillard
Australasian Conference on Robotics and Automation, 0
48*
Multimodal learning for autonomous underwater vehicles from visual and bathymetric data
D Rao, M De Deuge, N Nourani-Vatani, B Douillard, SB Williams, ...
2014 IEEE International Conference on Robotics and Automation (ICRA), 3819-3825, 2014
112014
Multimodal learning and inference from visual and remotely sensed data
D Rao, M De Deuge, N Nourani–Vatani, SB Williams, O Pizarro
The International Journal of Robotics Research 36 (1), 24-43, 2017
102017
A 3D classifier trained without field samples
B Douillard, A Quadros, P Morton, JP Underwood, M De Deuge
2012 12th International Conference on Control Automation Robotics & Vision …, 2012
92012
An analysis of monochrome conversions and normalizations on the Local Binary Patterns texture descriptors
N Nourani-Vatani, M Deuge, B Douillard, S Williams
Proceedings of the IEEE International Conference on Computer Vision …, 2013
42013
Multi-modality learning from visual and remotely sensed data
D Rao, M De Deuge, N Nourani-Vatani, SB Williams, O Pizarro
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, Workshop on …, 2015
22015
Manifold Learning Approaches to Compressing Latent Spaces of Unsupervised Feature Hierarchies
M De Deuge
University of Sydney, 2015
2015
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Articles 1–8