Brendan McCane

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	All	Since 2018
Citations	2565	855
h-index	22	14
i10-index	40	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
Tapabrata ChakrabortiUniversity of OxfordVerified email at ox.ac.uk
Nabeel Younus KhanNUST (PK), University of Otago (NZ)Verified email at cs.otago.ac.nz
Umapada Pal, FNAE, FAAIA, FIAPRProfessor, 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
Anthony RobinsComputer Science, University of OtagoVerified email at cs.otago.ac.nz
Michael AlbertProfessor of Computer Science, Otago UniversityVerified 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
Andrew TrotmanComputer Science, University of OtagoVerified email at cs.otago.ac.nz
Jon CornwallUniversity of OtagoVerified email at otago.ac.nz
Andres Navarro NewballProfesor Titular, Pontificia Universidad Javeriana Cali, ORCID 0000-0002-4231-8661Verified email at javerianacali.edu.co
Shing Chun Benny LamUniversity of Hong Kong, University of Southampton, Janelia Farm, University of PennsylvaniaVerified email at mail.med.upenn.edu
Shawn MartinSandia National LaboratoriesVerified email at sandia.gov
Peter StephensonDBHP ConsultingVerified email at dbhp.consulting

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	414	1998
On benchmarking optical flow B McCane, K Novins, D Crannitch, B Galvin Computer Vision and Image Understanding 84 (1), 126-143, 2001	390	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	225	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, 1-10, 2005	135	2005
LOOP descriptor: local optimal-oriented pattern T Chakraborti, B McCane, S Mills, U Pal IEEE Signal Processing Letters 25 (5), 635-639, 2018	107*	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	81	2006
Distance functions for categorical and mixed variables B McCane, M Albert Pattern Recognition Letters 29 (7), 986-993, 2008	72	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	60*	2009
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting C Atkinson, B McCane, L Szymanski, A Robins Neurocomputing 428, 291-307, 2021	58	2021
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	54	2018
Better than SIFT? N Khan, B McCane, S Mills Machine Vision and Applications 26, 819-836, 2015	54	2015
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	51	2018
Deep networks are effective encoders of periodicity L Szymanski, B McCane IEEE transactions on neural networks and learning systems 25 (10), 1816-1827, 2014	48	2014
Algorithmic fusion for more robust feature tracking B McCane, B Galvin, K Novins International Journal of Computer Vision 49, 79-89, 2002	40	2002
Support vector machines for human face detection I Kukenys, B McCane Proceedings of the New Zealand computer science research student conference …, 2008	38	2008
On training cascade face detectors B McCane, K Novins Image and Vision Computing 9 (11), 2003	37	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
On the evaluation of optical flow algorithms B McCane, B Galvin, K Novins Fifth International Conference on Control, Automation, Robotics &Vision 1 …, 1998	25	1998

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