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Brendan McCane
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Recovering Motion fields: an evaluation of eight optical flow algorithms.
B Galvin, B McCane, K Novins, D Mason, S Mills
BMVC 98, 195-204, 1998
4111998
On benchmarking optical flow
B McCane, K Novins, D Crannitch, B Galvin
Computer Vision and Image Understanding 84 (1), 126-143, 2001
3862001
SIFT and SURF performance evaluation against various image deformations on benchmark dataset
NY Khan, B McCane, G Wyvill
2011 International Conference on Digital Image Computing: Techniques and …, 2011
2242011
Lumbar segmental instability: a criterion-related validity study of manual therapy assessment
JH Abbott, B McCane, P Herbison, G Moginie, C Chapple, T Hogarty
BMC musculoskeletal disorders 6 (1), 1-10, 2005
1342005
LOOP descriptor: local optimal-oriented pattern
T Chakraborti, B McCane, S Mills, U Pal
IEEE Signal Processing Letters 25 (5), 635-639, 2018
98*2018
Lumbar segmental mobility disorders: comparison of two methods of defining abnormal displacement kinematics in a cohort of patients with non-specific mechanical low back pain
JH Abbott, JM Fritz, B McCane, B Shultz, P Herbison, B Lyons, G Stefanko, ...
BMC musculoskeletal disorders 7 (1), 1-11, 2006
782006
Distance functions for categorical and mixed variables
B McCane, M Albert
Pattern Recognition Letters 29 (7), 986-993, 2008
682008
Red blood cell segmentation from SEM images
J Vromen, B McCane
2009 24th International Conference Image and Vision Computing New Zealand, 44-49, 2009
59*2009
Better than SIFT?
N Khan, B McCane, S Mills
Machine Vision and Applications 26 (6), 819-836, 2015
552015
Deep networks are effective encoders of periodicity
L Szymanski, B McCane
IEEE transactions on neural networks and learning systems 25 (10), 1816-1827, 2014
472014
Pseudo-recursal: Solving the catastrophic forgetting problem in deep neural networks
C Atkinson, B McCane, L Szymanski, A Robins
arXiv preprint arXiv:1802.03875, 2018
442018
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting
C Atkinson, B McCane, L Szymanski, A Robins
Neurocomputing 428, 291-307, 2021
422021
EmotioNet: A 3-D convolutional neural network for EEG-based emotion recognition
Y Wang, Z Huang, B McCane, P Neo
2018 international joint conference on neural networks (IJCNN), 1-7, 2018
422018
Algorithmic fusion for more robust feature tracking
B McCane, B Galvin, K Novins
International Journal of Computer Vision 49 (1), 79-89, 2002
422002
Support vector machines for human face detection
I Kukenys, B McCane
Proceedings of the New Zealand computer science research student conference …, 2008
392008
On training cascade face detectors
B McCane, K Novins
Image and vision computing 9 (11), 2003
352003
On calculating the finite centre of rotation for rigid planar motion
B McCane, JH Abbott, T King
Medical engineering & physics 27 (1), 75-79, 2005
292005
On the evaluation of image segmentation algorithms
B McCane
Digital Image Computing: Techniques and Applications, 455-461, 1997
291997
Virtual snakes for occlusion analysis
B Galvin, B McCane, K Novins
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and …, 1999
281999
Shape variation in outline shapes
B McCane
Systematic biology 62 (1), 134-146, 2013
232013
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