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ORCIDBrendan McCane
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- affiliation: University of Otago, NZ
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2020 – today
- 2024
[j20]Juncheng Liu
, Brendan McCane, Steven Mills:
Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. 35(1): 6 (2024)- 2023
- [j19]Haitao Xu, Lech Szymanski, Brendan McCane:
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1243-1252 (2023) - 2022
- [j18]Hamza Bennani, Brendan McCane, Jon Cornwall:
Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs. Comput. Medical Imaging Graph. 96: 102011 (2022) - [j17]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. 224: 103555 (2022) - [j16]Lech Szymanski, Brendan McCane, Craig Atkinson:
Conceptual complexity of neural networks. Neurocomputing 469: 52-64 (2022) - 2021
- [j15]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing 428: 291-307 (2021) - [c59]Claudia Ott, Brendan McCane, Nick Meek:
Mastery Learning in CS1 - An Invitation to Procrastinate?: Reflecting on Six Years of Mastery Learning. ITiCSE (1) 2021: 18-24 - [i18]Lech Szymanski, Brendan McCane, Craig Atkinson:
Conceptual capacity and effective complexity of neural networks. CoRR abs/2103.07614 (2021) - [i17]Juncheng Liu, Brendan McCane, Steven Mills:
Learning to Explore by Reinforcement over High-Level Options. CoRR abs/2111.01364 (2021) - 2020
- [c58]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV 2020: 414-422 - [c57]Shenghuan Zhang, Brendan McCane, Phoebe Neo, Shabah M. Shadli, Neil McNaughton:
Trait depressivity prediction with EEG signals via LSBoost. IJCNN 2020: 1-8 - [c56]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. IVCNZ 2020: 1-6 - [c55]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. IVCNZ 2020: 1-5 - [c54]Juncheng Liu, Steven Mills, Brendan McCane:
Variational Autoencoder for 3D Voxel Compression. IVCNZ 2020: 1-6 - [i16]Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson:
MIME: Mutual Information Minimisation Exploration. CoRR abs/2001.05636 (2020) - [i15]Juncheng Liu, Steven Mills, Brendan McCane:
RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR abs/2008.03875 (2020)
2010 – 2019
- 2019
- [c53]Daniel Slack, Alistair Knott, Brendan McCane:
Executing Declarative Parallel Representations of Sequences with Temporal Pooling. IJCNN 2019: 1-8 - [c52]Yi Wang, Brendan McCane, Neil McNaughton, Zhiyi Huang, Shabah M. Shadli, Phoebe Neo:
AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. IJCNN 2019: 1-8 - [c51]Hamza Bennani, Brendan McCane:
Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs. IVCNZ 2019: 1-6 - [i14]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
CoCoNet: A Collaborative Convolutional Network. CoRR abs/1901.09886 (2019) - [i13]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
PProCRC: Probabilistic Collaboration of Image Patches. CoRR abs/1903.09123 (2019) - [i12]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
Distance Metric Learned Collaborative Representation Classifier. CoRR abs/1905.01168 (2019) - [i11]Lech Szymanski, Brendan McCane, Craig Atkinson:
Switched linear projections and inactive state sensitivity for deep neural network interpretability. CoRR abs/1909.11275 (2019) - [i10]Haitao Xu, Brendan McCane, Lech Szymanski:
VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. CoRR abs/1910.14351 (2019) - [i9]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR abs/1911.11988 (2019) - 2018
- [j14]Brendan McCane, Lech Szymanski:
Efficiency of deep networks for radially symmetric functions. Neurocomputing 313: 119-124 (2018) - [j13]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
LOOP Descriptor: Local Optimal-Oriented Pattern. IEEE Signal Process. Lett. 25(5): 635-639 (2018) - [c50]Haitao Xu, Brendan McCane, Lech Szymanski:
Twin Bounded Large Margin Distribution Machine. Australasian Conference on Artificial Intelligence 2018: 718-729 - [c49]Yi Wang, Zhiyi Huang, Brendan McCane, Phoebe Neo:
EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition. IJCNN 2018: 1-7 - [c48]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
Fine-grained Collaborative K-Means Clustering. IVCNZ 2018: 1-6 - [c47]Claudia Ott, Brendan McCane, Nick Meek:
Five years of Mastery Learning: What did we learn? Koli Calling 2018: 33:1-33:2 - [i8]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR abs/1802.03875 (2018) - [i7]Brendan McCane, Lech Szymanski:
Some Approximation Bounds for Deep Networks. CoRR abs/1803.02956 (2018) - [i6]Lech Szymanski, Brendan McCane, Michael H. Albert:
The effect of the choice of neural network depth and breadth on the size of its hypothesis space. CoRR abs/1806.02460 (2018) - [i5]Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins:
Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR abs/1812.02464 (2018) - 2017
- [c46]Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins:
Mastery Learning in Introductory Programming. ACE 2017: 1-10 - [c45]Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins:
Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR 2017: 25-30 - [c44]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). BMVC 2017 - [c43]Russel Mesbah, Brendan McCane, Steven Mills:
Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. IJCB 2017: 768-773 - [c42]Daniel Slack, Brendan McCane, Alistair Knott:
Self-organising temporal pooling. IJCNN 2017: 4316-4323 - [c41]Craig Atkinson, Brendan McCane, Lech Szymanski:
Increasing the accuracy of convolutional neural networks with progressive reinitialisation. IVCNZ 2017: 1-5 - [i4]Brendan McCane, Lech Szymanski:
Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks. CoRR abs/1703.03470 (2017) - [i3]Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou:
Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR abs/1704.05646 (2017) - [i2]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. CoRR abs/1710.09317 (2017) - 2016
- [j12]Hamza Bennani, Brendan McCane, Jon Cornwall:
Three Dimensional (3D) Lumbar Vertebrae Data Set. Data Sci. J. 15: 9 (2016) - [c40]Brendan McCane, Lech Szymanski:
Deep networks are efficient for circular manifolds. ICPR 2016: 3464-3469 - [c39]Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal:
Collaborative representation based fine-grained species recognition. IVCNZ 2016: 1-6 - [c38]Rassoul Mesbah, Brendan McCane, Steven Mills:
Deep convolutional encoder-decoder for myelin and axon segmentation. IVCNZ 2016: 1-6 - [e2]Thomas Bräunl, Brendan McCane, Mariano Rivera, Xinguo Yu:
Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9431, Springer 2016, ISBN 978-3-319-29450-6 [contents] - [d1]Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert, Lech Szymanski:
SIFT10M. UCI Machine Learning Repository, 2016
- [i1]Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert, Lech Szymanski:
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing. CoRR abs/1602.08127 (2016) - 2015
- [j11]Nabeel Younus Khan, Brendan McCane, Steven Mills:
Better than SIFT? Mach. Vis. Appl. 26(6): 819-836 (2015) - [c37]Adrien Jule, Brendan McCane, Alistair Knott, Steven Mills:
Discriminative touch from pressure sensors. ICARA 2015: 279-282 - [c36]Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert:
How to select hashing bits? A direct measurement approach. IVCNZ 2015: 1-6 - [c35]Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills:
Adapting generic trackers for tracking faces. IVCNZ 2015: 1-6 - 2014
- [j10]Lech Szymanski, Brendan McCane:
Deep Networks are Effective Encoders of Periodicity. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1816-1827 (2014) - [c34]Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert:
NOKMeans: Non-Orthogonal K-means Hashing. ACCV (1) 2014: 162-177 - [c33]Umair Mateen Khan, Steven Mills, Brendan McCane, Andrew Trotman:
Emergent Properties from Feature Co-occurrence in Image Collections. ICPR 2014: 2347-2352 - [c32]Brendan McCane:
Case deletion for fundamental matrix computation. IVCNZ 2014: 25 - [c31]Brendan McCane:
Random projections for feature matching. IVCNZ 2014: 78 - [c30]Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills:
3D Face Tracking in Fisheye Stereo Video Using Particle Filters. IVCNZ 2014: 259 - 2013
- [j9]Ignas Kukenys, Brendan McCane:
Touch tracking with a particle filter. Mach. Vis. Appl. 24(7): 1501-1512 (2013) - [c29]Nabeel Younus Khan, Brendan McCane:
Analysis of Verification Methods for Indoor Image Matching. ACPR 2013: 38-42 - [c28]Xiping Fu, Shawn Martin, Steven Mills, Brendan McCane:
Improved Spectral Clustering Using Adaptive Mahalanobis Distance. ACPR 2013: 171-175 - [c27]Lech Szymanski, Brendan McCane:
Learning in deep architectures with folding transformations. IJCNN 2013: 1-8 - [c26]Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills:
The integral image method for fisheye images. IVCNZ 2013: 1-6 - [c25]Nabeel Younus Khan, Brendan McCane, Steven Mills:
3D versus 2D based indoor image matching analysis on images from low cost mobile devices. IVCNZ 2013: 253-258 - [c24]Xiping Fu, Brendan McCane, Michael H. Albert, Steven Mills:
Action recognition based on principal geodesic analysis. IVCNZ 2013: 259-264 - 2012
- [c23]Nabeel Younus Khan, Brendan McCane:
Smartphone application for indoor scene localization. ASSETS 2012: 201-202 - [c22]Nabeel Younus Khan, Brendan McCane, Steven Mills:
Vision based indoor scene localization via smart phone. CHINZ 2012: 88 - [c21]Umair Mateen Khan, Brendan McCane, Andrew Trotman:
Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach. DICTA 2012: 1-8 - [c20]Lech Szymanski, Brendan McCane:
Push-pull separability objective for supervised layer-wise training of neural networks. IJCNN 2012: 1-8 - [c19]Lech Szymanski, Brendan McCane:
Deep, super-narrow neural network is a universal classifier. IJCNN 2012: 1-8 - [c18]Nabeel Younus Khan, Brendan McCane, Steven Mills:
Feature set reduction for image matching in large scale environments. IVCNZ 2012: 67-72 - [c17]Brendan McCane:
The linear space of all images smaller than 32x32. IVCNZ 2012: 156-161 - [c16]Umair Mateen Khan, Brendan McCane, Andrew Trotman:
A feature compression scheme for large scale image retrieval systems. IVCNZ 2012: 492-496 - [e1]Brendan McCane, Steven Mills, Jeremiah D. Deng:
Image and Vision Computing New Zealand, IVCNZ '12, Dunedin, New Zealand - November 26 - 28, 2012. ACM 2012, ISBN 978-1-4503-1473-2 [contents] - 2011
- [c15]Nabeel Younus Khan, Brendan McCane, Geoff Wyvill:
SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset. DICTA 2011: 501-506
2000 – 2009
- 2009
- [j8]Shing Chun Benny Lam, Brendan McCane, Robert Allen:
Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis. Image Vis. Comput. 27(10): 1555-1571 (2009) - [j7]Alexis Angelidis, Brendan McCane:
Fur simulation with spring continuum. Vis. Comput. 25(3): 255-265 (2009) - [c14]Ignas Kukenys, Brendan McCane, Tim Neumegen:
Training Support Vector Machines on Large Sets of Image Data. ACCV (3) 2009: 331-340 - [c13]Andrés Adolfo Navarro Newball, Geoff Wyvill, Brendan McCane:
Object Interaction Using Tabulated Spheres Subsets. TPCG 2009: 57-60 - 2008
- [j6]Brendan McCane, Michael H. Albert:
Distance functions for categorical and mixed variables. Pattern Recognit. Lett. 29(7): 986-993 (2008) - [c12]Ruihu Wang, Brendan McCane:
Red Blood Cell Classification through Depth Map and Surface Feature. ISCSCT (2) 2008: 339-342 - 2004
- [j5]Brendan McCane, Terry Caelli:
Diagnostic tools for evaluating and updating hidden Markov models. Pattern Recognit. 37(7): 1325-1337 (2004) - 2003
- [c11]Scott A. King, Alistair Knott, Brendan McCane:
Language-Driven Nonverbal Communication in a Bilingual Conversational Agent. CASA 2003: 17-22 - [c10]Terry Caelli, Brendan McCane:
Components analysis of hidden Markov models in computer vision. ICIAP 2003: 510-515 - 2002
- [j4]Brendan McCane, Ben Galvin, Kevin Novins:
Algorithmic Fusion for More Robust Feature Tracking. Int. J. Comput. Vis. 49(1): 79-89 (2002) - 2001
- [j3]Brendan McCane, Kevin Novins, D. Crannitch, Ben Galvin:
On Benchmarking Optical Flow. Comput. Vis. Image Underst. 84(1): 126-143 (2001) - [j2]Kevin Novins, Brendan McCane:
Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum. Int. J. Pattern Recognit. Artif. Intell. 15(5): 775-787 (2001) - [c9]Lu Da, Pu Wei, Brendan McCane:
Character Preclassification Based on Fuzzy Typographical Analysis. ICDAR 2001: 74-78 - 2000
- [c8]Brendan McCane:
Snakes and Spiders. ICPR 2000: 1652-1655
1990 – 1999
- 1999
- [c7]Ben Galvin, Brendan McCane, Kevin Novins:
OSCAR: Object Segmentation Using Correspondence and Relaxation. 3DIM 1999: 270-279 - [c6]David Mason, Brendan McCane, Kevin Novins:
Generating Motion Fields of Complex Scenes. Computer Graphics International 1999: 65-69 - [c5]Ben Galvin, Brendan McCane, Kevin Novins:
Virtual Snakes for Occlusion Analysis. CVPR 1999: 2294-2299 - 1998
- [c4]Ben Galvin, Brendan McCane, Kevin Novins, David Mason, Steven Mills:
Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms. BMVC 1998: 1-10 - [c3]Ben Galvin, Kevin Novins, Brendan McCane:
Motion-based Object Segmentation using Active Contours. IVCNZ 1998: 346-351 - 1997
- [j1]Brendan McCane, Terry Caelli, Olivier Y. de Vel:
Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. Int. J. Pattern Recognit. Artif. Intell. 11(6): 909-931 (1997) - [c2]Brendan McCane, Terry M. Caelli:
Multi-scale adaptive segmentation using edge and region based attributes. KES (1) 1997: 72-80 - 1996
- [c1]Brendan McCane, Terry Caelli, Olivier Y. de Vel:
Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops 1996: 123-132
Coauthor Index
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last updated on 2024-06-19 20:53 CEST by the dblp team
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