Brendan McCane

100 papers A* 1A 4B 12C 3Misc 25Journal 38Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Learning to explore by reinforcement over high-level options. Mach. Vis. Appl. Juncheng Liu, Brendan McCane, Steven Mills
2024	Misc	`conf`	Medical Image Synthesis Using Autoencoder with Vision Transformer. IVCNZ Zakia Zinat Choudhury, Brendan McCane, Sean Coffey
2023	J	`jnl`	VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Haitao Xu, Lech Szymanski, Brendan McCane
2022	J	`jnl`	Conceptual complexity of neural networks. Neurocomputing Lech Szymanski, Brendan McCane, Craig Atkinson
2022	J	`jnl`	RocNet: Recursive octree network for efficient 3D processing. Comput. Vis. Image Underst. Juncheng Liu, Steven Mills, Brendan McCane
2022	J	`jnl`	Three-dimensional reconstruction of Comput. Medical Imaging Graph. Hamza Bennani, Brendan McCane, Jon Cornwall
2021	J	`jnl`	Conceptual capacity and effective complexity of neural networks. CoRR Lech Szymanski, Brendan McCane, Craig Atkinson
2021	J	`jnl`	Learning to Explore by Reinforcement over High-Level Options. CoRR Juncheng Liu, Brendan McCane, Steven Mills
2021	—	`conf`	Mastery Learning in CS1 - An Invitation to Procrastinate?: Reflecting on Six Years of Mastery Learning. ITiCSE (1) Claudia Ott, Brendan McCane, Nick Meek
2021	J	`jnl`	Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. Neurocomputing Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2020	Misc	`conf`	CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. IVCNZ Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2020	J	`jnl`	MIME: Mutual Information Minimisation Exploration. CoRR Haitao Xu, Brendan McCane, Lech Szymanski, Craig Atkinson
2020	Misc	`conf`	PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. IVCNZ Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2020	—	`conf`	RocNet: Recursive Octree Network for Efficient 3D Deep Representation. 3DV Juncheng Liu, Steven Mills, Brendan McCane
2020	J	`jnl`	RocNet: Recursive Octree Network for Efficient 3D Deep Representation. CoRR Juncheng Liu, Steven Mills, Brendan McCane
2020	B	`conf`	Trait depressivity prediction with EEG signals via LSBoost. IJCNN Shenghuan Zhang, Brendan McCane, Phoebe Neo, Shabah M. Shadli, Neil McNaughton
2020	Misc	`conf`	Variational Autoencoder for 3D Voxel Compression. IVCNZ Juncheng Liu, Steven Mills, Brendan McCane
2019	B	`conf`	AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. IJCNN Yi Wang, Brendan McCane, Neil McNaughton, Zhiyi Huang, Shabah M. Shadli, Phoebe Neo
2019	J	`jnl`	CoCoNet: A Collaborative Convolutional Network. CoRR Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2019	J	`jnl`	Distance Metric Learned Collaborative Representation Classifier. CoRR Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2019	B	`conf`	Executing Declarative Parallel Representations of Sequences with Temporal Pooling. IJCNN Daniel Slack, Alistair Knott, Brendan McCane
2019	J	`jnl`	GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2019	J	`jnl`	PProCRC: Probabilistic Collaboration of Image Patches. CoRR Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2019	J	`jnl`	Switched linear projections and inactive state sensitivity for deep neural network interpretability. CoRR Lech Szymanski, Brendan McCane, Craig Atkinson
2019	Misc	`conf`	Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs. IVCNZ Hamza Bennani, Brendan McCane
2019	J	`jnl`	VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. CoRR Haitao Xu, Brendan McCane, Lech Szymanski
2018	J	`jnl`	Efficiency of deep networks for radially symmetric functions. Neurocomputing Brendan McCane, Lech Szymanski
2018	B	`conf`	EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition. IJCNN Yi Wang, Zhiyi Huang, Brendan McCane, Phoebe Neo
2018	Misc	`conf`	Fine-grained Collaborative K-Means Clustering. IVCNZ Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2018	—	`conf`	Five years of Mastery Learning: What did we learn? Koli Calling Claudia Ott, Brendan McCane, Nick Meek
2018	J	`jnl`	LOOP Descriptor: Local Optimal-Oriented Pattern. IEEE Signal Process. Lett. Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2018	J	`jnl`	Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2018	J	`jnl`	Pseudo-Rehearsal: Achieving Deep Reinforcement Learning without Catastrophic Forgetting. CoRR Craig Atkinson, Brendan McCane, Lech Szymanski, Anthony V. Robins
2018	J	`jnl`	Some Approximation Bounds for Deep Networks. CoRR Brendan McCane, Lech Szymanski
2018	J	`jnl`	The effect of the choice of neural network depth and breadth on the size of its hypothesis space. CoRR Lech Szymanski, Brendan McCane, Michael H. Albert
2018	—	`conf`	Twin Bounded Large Margin Distribution Machine. Australasian Conference on Artificial Intelligence Haitao Xu, Brendan McCane, Lech Szymanski
2017	A	`conf`	A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). BMVC Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2017	B	`conf`	Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. IJCB Russel Mesbah, Brendan McCane, Steven Mills
2017	J	`jnl`	Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks. CoRR Brendan McCane, Lech Szymanski
2017	J	`jnl`	Effects of the optimisation of the margin distribution on generalisation in deep architectures. CoRR Lech Szymanski, Brendan McCane, Wei Gao, Zhi-Hua Zhou
2017	—	`conf`	Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. ACPR Russel Mesbah, Brendan McCane, Steven Mills, Anthony V. Robins
2017	Misc	`conf`	Increasing the accuracy of convolutional neural networks with progressive reinitialisation. IVCNZ Craig Atkinson, Brendan McCane, Lech Szymanski
2017	J	`jnl`	LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. CoRR Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2017	C	`conf`	Mastery Learning in Introductory Programming. ACE Brendan McCane, Claudia Ott, Nick Meek, Anthony V. Robins
2017	B	`conf`	Self-organising temporal pooling. IJCNN Daniel Slack, Brendan McCane, Alistair Knott
2016	J	`jnl`	Auto-JacoBin: Auto-encoder Jacobian Binary Hashing. CoRR Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert, Lech Szymanski
2016	Misc	`conf`	Collaborative representation based fine-grained species recognition. IVCNZ Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2016	Misc	`conf`	Deep convolutional encoder-decoder for myelin and axon segmentation. IVCNZ Rassoul Mesbah, Brendan McCane, Steven Mills
2016	B	`conf`	Deep networks are efficient for circular manifolds. ICPR Brendan McCane, Lech Szymanski
2016	C	`ed.`	Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Auckland, New Zealand, November 25-27, 2015, Revised Selected Papers PSIVT Thomas Bräunl, Brendan McCane, Mariano Rivera, Xinguo Yu
2016	J	`jnl`	Three Dimensional (3D) Lumbar Vertebrae Data Set. Data Sci. J. Hamza Bennani, Brendan McCane, Jon Cornwall
2015	Misc	`conf`	Adapting generic trackers for tracking faces. IVCNZ Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
2015	J	`jnl`	Better than SIFT? Mach. Vis. Appl. Nabeel Younus Khan, Brendan McCane, Steven Mills
2015	—	`conf`	Discriminative touch from pressure sensors. ICARA Adrien Jule, Brendan McCane, Alistair Knott, Steven Mills
2015	Misc	`conf`	How to select hashing bits? A direct measurement approach. IVCNZ Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert
2014	Misc	`conf`	3D Face Tracking in Fisheye Stereo Video Using Particle Filters. IVCNZ Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
2014	Misc	`conf`	Case deletion for fundamental matrix computation. IVCNZ Brendan McCane
2014	J	`jnl`	Deep Networks are Effective Encoders of Periodicity. IEEE Trans. Neural Networks Learn. Syst. Lech Szymanski, Brendan McCane
2014	B	`conf`	Emergent Properties from Feature Co-occurrence in Image Collections. ICPR Umair Mateen Khan, Steven Mills, Brendan McCane, Andrew Trotman
2014	—	`conf`	NOKMeans: Non-Orthogonal K-means Hashing. ACCV (1) Xiping Fu, Brendan McCane, Steven Mills, Michael H. Albert
2014	Misc	`conf`	Random projections for feature matching. IVCNZ Brendan McCane
2013	Misc	`conf`	3D versus 2D based indoor image matching analysis on images from low cost mobile devices. IVCNZ Nabeel Younus Khan, Brendan McCane, Steven Mills
2013	Misc	`conf`	Action recognition based on principal geodesic analysis. IVCNZ Xiping Fu, Brendan McCane, Michael H. Albert, Steven Mills
2013	—	`conf`	Analysis of Verification Methods for Indoor Image Matching. ACPR Nabeel Younus Khan, Brendan McCane
2013	—	`conf`	Improved Spectral Clustering Using Adaptive Mahalanobis Distance. ACPR Xiping Fu, Shawn Martin, Steven Mills, Brendan McCane
2013	B	`conf`	Learning in deep architectures with folding transformations. IJCNN Lech Szymanski, Brendan McCane
2013	Misc	`conf`	The integral image method for fisheye images. IVCNZ Maria Mikhisor, Geoff Wyvill, Brendan McCane, Steven Mills
2013	J	`jnl`	Touch tracking with a particle filter. Mach. Vis. Appl. Ignas Kukenys, Brendan McCane
2012	Misc	`conf`	A feature compression scheme for large scale image retrieval systems. IVCNZ Umair Mateen Khan, Brendan McCane, Andrew Trotman
2012	B	`conf`	Deep, super-narrow neural network is a universal classifier. IJCNN Lech Szymanski, Brendan McCane
2012	Misc	`conf`	Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach. DICTA Umair Mateen Khan, Brendan McCane, Andrew Trotman
2012	Misc	`conf`	Feature set reduction for image matching in large scale environments. IVCNZ Nabeel Younus Khan, Brendan McCane, Steven Mills
2012	Misc	`ed.`	Image and Vision Computing New Zealand, IVCNZ '12, Dunedin, New Zealand - November 26 - 28, 2012 IVCNZ Brendan McCane, Steven Mills, Jeremiah D. Deng
2012	B	`conf`	Push-pull separability objective for supervised layer-wise training of neural networks. IJCNN Lech Szymanski, Brendan McCane
2012	A	`conf`	Smartphone application for indoor scene localization. ASSETS Nabeel Younus Khan, Brendan McCane
2012	Misc	`conf`	The linear space of all images smaller than 32x32. IVCNZ Brendan McCane
2012	—	`conf`	Vision based indoor scene localization via smart phone. CHINZ Nabeel Younus Khan, Brendan McCane, Steven Mills
2011	Misc	`conf`	SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset. DICTA Nabeel Younus Khan, Brendan McCane, Geoff Wyvill
2009	J	`jnl`	Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis. Image Vis. Comput. Shing Chun Benny Lam, Brendan McCane, Robert Allen
2009	J	`jnl`	Fur simulation with spring continuum. Vis. Comput. Alexis Angelidis, Brendan McCane
2009	—	`conf`	Object Interaction Using Tabulated Spheres Subsets. TPCG Andrés Adolfo Navarro Newball, Geoff Wyvill, Brendan McCane
2009	—	`conf`	Training Support Vector Machines on Large Sets of Image Data. ACCV (3) Ignas Kukenys, Brendan McCane, Tim Neumegen
2008	J	`jnl`	Distance functions for categorical and mixed variables. Pattern Recognit. Lett. Brendan McCane, Michael H. Albert
2008	—	`conf`	Red Blood Cell Classification through Depth Map and Surface Feature. ISCSCT (2) Ruihu Wang, Brendan McCane
2004	J	`jnl`	Diagnostic tools for evaluating and updating hidden Markov models. Pattern Recognit. Brendan McCane, Terry Caelli
2003	Misc	`conf`	Components analysis of hidden Markov models in computer vision. ICIAP Terry Caelli, Brendan McCane
2003	—	`conf`	Language-Driven Nonverbal Communication in a Bilingual Conversational Agent. CASA Scott A. King, Alistair Knott, Brendan McCane
2002	J	`jnl`	Algorithmic Fusion for More Robust Feature Tracking. Int. J. Comput. Vis. Brendan McCane, Ben Galvin, Kevin Novins
2001	A	`conf`	Character Preclassification Based on Fuzzy Typographical Analysis. ICDAR Lu Da, Pu Wei, Brendan McCane
2001	J	`jnl`	Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum. Int. J. Pattern Recognit. Artif. Intell. Kevin Novins, Brendan McCane
2001	J	`jnl`	On Benchmarking Optical Flow. Comput. Vis. Image Underst. Brendan McCane, Kevin Novins, D. Crannitch, Ben Galvin
2000	B	`conf`	Snakes and Spiders. ICPR Brendan McCane
1999	C	`conf`	Generating Motion Fields of Complex Scenes. Computer Graphics International David Mason, Brendan McCane, Kevin Novins
1999	—	`conf`	OSCAR: Object Segmentation Using Correspondence and Relaxation. 3DIM Ben Galvin, Brendan McCane, Kevin Novins
1999	A*	`conf`	Virtual Snakes for Occlusion Analysis. CVPR Ben Galvin, Brendan McCane, Kevin Novins
1998	Misc	`conf`	Motion-based Object Segmentation using Active Contours. IVCNZ Ben Galvin, Kevin Novins, Brendan McCane
1998	A	`conf`	Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms. BMVC Ben Galvin, Brendan McCane, Kevin Novins, David Mason, Steven Mills
1997	J	`jnl`	Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. Int. J. Pattern Recognit. Artif. Intell. Brendan McCane, Terry Caelli, Olivier Y. de Vel
1997	—	`conf`	Multi-scale adaptive segmentation using edge and region based attributes. KES (1) Brendan McCane, Terry M. Caelli
1996	—	`conf`	Inducing complex spatial descriptions in two dimensional scenes. PRICAI Workshops Brendan McCane, Terry Caelli, Olivier Y. de Vel