Brendan McCane

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	All	Since 2019
Citations	2876	1005
h-index	23	15
i10-index	46	21

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Co-authors

Steven MillsSchool of Computing, University of OtagoVerified email at cs.otago.ac.nz
Lech SzymanskiUniverstiy of OtagoVerified email at otago.ac.nz
Tapabrata Rohan ChakrabortyUniversity of OxfordVerified email at ox.ac.uk
Nabeel Younus KhanNUST (PK), University of Otago (NZ)Verified email at cs.otago.ac.nz
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 KnottSchool of Englneering and Computer Science, Victoria University of WellingtonVerified email at vuw.ac.nz
Zhiyi HuangSchool of Computing，University of OtagoVerified email at otago.ac.nz
Nick MeekProfessionalPractice Fellow, University of Otago. New ZealandVerified email at cs.otago.ac.nz
Claudia OttSenior Lecturer, University of OtagoVerified email at otago.ac.nz
Cathy ChappleLecturer, School of Physiotherapy, University of OtagoVerified email at otago.ac.nz
Hamza BennaniUniversity of OtagoVerified email at hamzabennani.com
Scott A. KingProfessor, Department of Computing Sciences, Texas A&M University - Corpus ChristiVerified email at tamucc.edu
Juncheng LiuMassey UniversityVerified email at massey.ac.nz
Jon CornwallUniversity of OtagoVerified email at otago.ac.nz
Andrew TrotmanComputer Science, University of OtagoVerified email at cs.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

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	427	1998
On benchmarking optical flow B McCane, K Novins, D Crannitch, B Galvin Computer Vision and Image Understanding 84 (1), 126-143, 2001	395	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	240	2011
LOOP descriptor: local optimal-oriented pattern T Chakraborti, B McCane, S Mills, U Pal IEEE Signal Processing Letters 25 (5), 635-639, 2018	143	2018
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	141	2005
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting C Atkinson, B McCane, L Szymanski, A Robins Neurocomputing 428, 291-307, 2021	110	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	94	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, 1-11, 2006	94	2006
Distance functions for categorical and mixed variables B McCane, M Albert Pattern Recognition Letters 29 (7), 986-993, 2008	77	2008
Better than SIFT? N Khan, B McCane, S Mills Machine Vision and Applications 26, 819-836, 2015	63	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	54	2014
LOOP descriptor: Encoding repeated local patterns for fine-grained visual identification of lepidoptera T Chakraborti, B McCane, S Mills, U Pal arXiv preprint arXiv:1710.09317, 1-5, 2017	46	2017
Red blood cell segmentation from SEM images J Vromen, B McCane 2009 24th International Conference Image and Vision Computing New Zealand, 44-49, 2009	42	2009
Support vector machines for human face detection I Kukenys, B McCane Proceedings of the New Zealand computer science research student conference …, 2008	39	2008
Algorithmic fusion for more robust feature tracking B McCane, B Galvin, K Novins International Journal of Computer Vision 49, 79-89, 2002	39	2002
On training cascade face detectors B McCane, K Novins Image and vision computing 9 (11), 2003	38	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	33	2005
Automated collection and analysis of infrared thermograms for measuring eye and cheek temperatures in calves G Lowe, B McCane, M Sutherland, J Waas, A Schaefer, N Cox, M Stewart Animals 10 (2), 292, 2020	29	2020
On the evaluation of image segmentation algorithms B McCane Digital Image Computing: Techniques and Applications, 455-461, 1997	29	1997
Mastery learning in introductory programming B McCane, C Ott, N Meek, A Robins Proceedings of the nineteenth australasian computing education conference, 1-10, 2017	28	2017

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