| 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 | 432 | 1998 |
| On benchmarking optical flow B McCane, K Novins, D Crannitch, B Galvin Computer Vision and Image Understanding 84 (1), 126-143, 2001 | 402 | 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 | 243 | 2011 |
| LOOP descriptor: local optimal-oriented pattern T Chakraborti, B McCane, S Mills, U Pal IEEE Signal Processing Letters 25 (5), 635-639, 2018 | 156 | 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 | 149 | 2005 |
| Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting C Atkinson, B McCane, L Szymanski, A Robins Neurocomputing 428, 291-307, 2021 | 127 | 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 | 106 | 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 |
| 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 | 93 | 2018 |
| 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 | 55 | 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 | 51 | 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 |
| Algorithmic fusion for more robust feature tracking B McCane, B Galvin, K Novins International Journal of Computer Vision 49, 79-89, 2002 | 40 | 2002 |
| On training cascade face detectors B McCane, K Novins Image and vision computing 9 (11), 2003 | 37 | 2003 |
| Support vector machines for human face detection I Kukenys, B McCane Proceedings of the New Zealand computer science research student conference …, 2008 | 36 | 2008 |
| Mastery learning in introductory programming B McCane, C Ott, N Meek, A Robins Proceedings of the nineteenth australasian computing education conference, 1-10, 2017 | 34 | 2017 |
| 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 | 32 | 2020 |
| 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 | 32 | 2005 |
Steven MillsSchool of Computing, University of OtagoПотвърден имейл адрес: cs.otago.ac.nz