Brendan McCane

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	All	Since 2017
Citations	2463	907
h-index	22	15
i10-index	38	19

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Co-authors

Steven MillsDepartment of Computer Science, University of OtagoVerified email at cs.otago.ac.nz
Lech SzymanskiUniverstiy of OtagoVerified email at otago.ac.nz
Nabeel Younus KhanNUST (PK), University of Otago (NZ)Verified email at cs.otago.ac.nz
Tapabrata ChakrabortiUniversity of OxfordVerified email at eng.ox.ac.uk
Umapada Pal, FIAPR, FAAIAProfessor, Computer Vision and Pattern Recogniiton Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Terry CaelliDeakin UniversityVerified email at deakin.edu.au
J. Haxby AbbottOtago Medical School, University of OtagoVerified email at otago.ac.nz
Michael AlbertProfessor of Computer Science, Otago UniversityVerified email at cs.otago.ac.nz
Anthony RobinsComputer Science, University of OtagoVerified email at cs.otago.ac.nz
Alistair KnottAssociate Professor of Computer Science, University of OtagoVerified email at cs.otago.ac.nz
Cathy ChappleLecturer, School of Physiotherapy, University of OtagoVerified email at otago.ac.nz
Nick MeekProfessionalPractice Fellow, University of Otago. New ZealandVerified email at cs.otago.ac.nz
Claudia OttLecturer, University of OtagoVerified email at otago.ac.nz
Scott A. KingProfessor, Department of Computing Sciences, Texas A&M University - Corpus ChristiVerified email at tamucc.edu
Hamza BennaniComputer Science, University of OtagoVerified email at hamzabennani.com
Umair Mateen KhanOtago University, New ZealandVerified email at cs.otago.ac.nz
Andrew TrotmanComputer Science, University of OtagoVerified email at cs.otago.ac.nz
Jon CornwallUniversity of OtagoVerified email at otago.ac.nz
Shing Chun Benny LamUniversity of Hong Kong, University of Southampton, Janelia Farm, University of PennsylvaniaVerified email at mail.med.upenn.edu
Andres Navarro NewballProfesor Titular, Pontificia Universidad Javeriana Cali, ORCID 0000-0002-4231-8661Verified email at javerianacali.edu.co

Brendan McCane

University of Otago

Verified email at cs.otago.ac.nz - Homepage

Computer vision machine learning pattern recognition shape.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	410	1998
On benchmarking optical flow B McCane, K Novins, D Crannitch, B Galvin Computer Vision and Image Understanding 84 (1), 126-143, 2001	386	2001
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	223	2011
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	133	2005
LOOP descriptor: local optimal-oriented pattern T Chakraborti, B McCane, S Mills, U Pal IEEE Signal Processing Letters 25 (5), 635-639, 2018	97*	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	77	2006
Distance functions for categorical and mixed variables B McCane, M Albert Pattern Recognition Letters 29 (7), 986-993, 2008	68	2008
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	55	2015
Deep networks are effective encoders of periodicity L Szymanski, B McCane IEEE transactions on neural networks and learning systems 25 (10), 1816-1827, 2014	47	2014
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	43	2018
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	42	2018
Algorithmic fusion for more robust feature tracking B McCane, B Galvin, K Novins International Journal of Computer Vision 49 (1), 79-89, 2002	42	2002
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting C Atkinson, B McCane, L Szymanski, A Robins Neurocomputing 428, 291-307, 2021	41	2021
Support vector machines for human face detection I Kukenys, B McCane Proceedings of the New Zealand computer science research student conference …, 2008	39	2008
On training cascade face detectors B McCane, K Novins Image and vision computing 9 (11), 2003	35	2003
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	29	2005
On the evaluation of image segmentation algorithms B McCane Digital Image Computing: Techniques and Applications, 455-461, 1997	29	1997
Virtual snakes for occlusion analysis B Galvin, B McCane, K Novins Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and …, 1999	28	1999
Shape variation in outline shapes B McCane Systematic biology 62 (1), 134-146, 2013	23	2013

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