Inducing complex spatial descriptions in two dimensional scenes. - Brendan McCane; Terry Caelli; Olivier Y. de Vel (PRICAI Workshops, 1996)

Multi-scale adaptive segmentation using edge and region based attributes. - Brendan McCane; Terry M. Caelli (KES (1), 1997)

Learning to Recognition 3D Objects Using Sparse Depth and Intensity Information. - Brendan McCane; Terry Caelli; Olivier Y. de Vel (Int. J. Pattern Recognit. Artif. Intell., 1997)

Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms. - Ben Galvin; Brendan McCane; Kevin Novins; David Mason; Steven Mills (BMVC, 1998)

Motion-based Object Segmentation using Active Contours. - Ben Galvin; Kevin Novins; Brendan McCane (IVCNZ, 1998)

OSCAR: Object Segmentation Using Correspondence and Relaxation. - Ben Galvin; Brendan McCane; Kevin Novins (3DIM, 1999)

Generating Motion Fields of Complex Scenes. - David Mason; Brendan McCane; Kevin Novins (Computer Graphics International, 1999)

Virtual Snakes for Occlusion Analysis. - Ben Galvin; Brendan McCane; Kevin Novins (CVPR, 1999)

Snakes and Spiders. - Brendan McCane (ICPR, 2000)

Character Preclassification Based on Fuzzy Typographical Analysis. - Lu Da; Pu Wei; Brendan McCane (ICDAR, 2001)

On Benchmarking Optical Flow. - Brendan McCane; Kevin Novins; D. Crannitch; Ben Galvin (Comput. Vis. Image Underst., 2001)

Incorporating Primary Source Material into the Undergraduate Computer Vision Curriculum. - Kevin Novins; Brendan McCane (Int. J. Pattern Recognit. Artif. Intell., 2001)

Algorithmic Fusion for More Robust Feature Tracking. - Brendan McCane; Ben Galvin; Kevin Novins (Int. J. Comput. Vis., 2002)

Language-Driven Nonverbal Communication in a Bilingual Conversational Agent. - Scott A. King; Alistair Knott; Brendan McCane (CASA, 2003)

Components analysis of hidden Markov models in computer vision. - Terry Caelli; Brendan McCane (ICIAP, 2003)

Diagnostic tools for evaluating and updating hidden Markov models. - Brendan McCane; Terry Caelli (Pattern Recognit., 2004)

Red Blood Cell Classification through Depth Map and Surface Feature. - Ruihu Wang; Brendan McCane (ISCSCT (2), 2008)

Distance functions for categorical and mixed variables. - Brendan McCane; Michael H. Albert (Pattern Recognit. Lett., 2008)

Training Support Vector Machines on Large Sets of Image Data. - Ignas Kukenys; Brendan McCane; Tim Neumegen (ACCV (3), 2009)

Object Interaction Using Tabulated Spheres Subsets. - Andrés Adolfo Navarro Newball; Geoff Wyvill; Brendan McCane (TPCG, 2009)

Automated tracking in digitized videofluoroscopy sequences for spine kinematic analysis. - Shing Chun Benny Lam; Brendan McCane; Robert Allen (Image Vis. Comput., 2009)

Fur simulation with spring continuum. - Alexis Angelidis; Brendan McCane (Vis. Comput., 2009)

SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset. - Nabeel Younus Khan; Brendan McCane; Geoff Wyvill (DICTA, 2011)

Smartphone application for indoor scene localization. - Nabeel Younus Khan; Brendan McCane (ASSETS, 2012)

Vision based indoor scene localization via smart phone. - Nabeel Younus Khan; Brendan McCane; Steven Mills (CHINZ, 2012)

Emergent Semantic Patterns in Large Scale Image Dataset: A Datamining Approach. - Umair Mateen Khan; Brendan McCane; Andrew Trotman (DICTA, 2012)

Push-pull separability objective for supervised layer-wise training of neural networks. - Lech Szymanski; Brendan McCane (IJCNN, 2012)

Deep, super-narrow neural network is a universal classifier. - Lech Szymanski; Brendan McCane (IJCNN, 2012)

Feature set reduction for image matching in large scale environments. - Nabeel Younus Khan; Brendan McCane; Steven Mills (IVCNZ, 2012)

A feature compression scheme for large scale image retrieval systems. - Umair Mateen Khan; Brendan McCane; Andrew Trotman (IVCNZ, 2012)

The linear space of all images smaller than 32x32. - Brendan McCane (IVCNZ, 2012)

Improved Spectral Clustering Using Adaptive Mahalanobis Distance. - Xiping Fu; Shawn Martin; Steven Mills; Brendan McCane (ACPR, 2013)

Analysis of Verification Methods for Indoor Image Matching. - Nabeel Younus Khan; Brendan McCane (ACPR, 2013)

Learning in deep architectures with folding transformations. - Lech Szymanski; Brendan McCane (IJCNN, 2013)

Action recognition based on principal geodesic analysis. - Xiping Fu; Brendan McCane; Michael H. Albert; Steven Mills (IVCNZ, 2013)

3D versus 2D based indoor image matching analysis on images from low cost mobile devices. - Nabeel Younus Khan; Brendan McCane; Steven Mills (IVCNZ, 2013)

The integral image method for fisheye images. - Maria Mikhisor; Geoff Wyvill; Brendan McCane; Steven Mills (IVCNZ, 2013)

Touch tracking with a particle filter. - Ignas Kukenys; Brendan McCane (Mach. Vis. Appl., 2013)

NOKMeans: Non-Orthogonal K-means Hashing. - Xiping Fu; Brendan McCane; Steven Mills; Michael H. Albert (ACCV (1), 2014)

Emergent Properties from Feature Co-occurrence in Image Collections. - Umair Mateen Khan; Steven Mills; Brendan McCane; Andrew Trotman (ICPR, 2014)

Case deletion for fundamental matrix computation. - Brendan McCane (IVCNZ, 2014)

Random projections for feature matching. - Brendan McCane (IVCNZ, 2014)

3D Face Tracking in Fisheye Stereo Video Using Particle Filters. - Maria Mikhisor; Geoff Wyvill; Brendan McCane; Steven Mills (IVCNZ, 2014)

Deep Networks are Effective Encoders of Periodicity. - Lech Szymanski; Brendan McCane (IEEE Trans. Neural Networks Learn. Syst., 2014)

Discriminative touch from pressure sensors. - Adrien Jule; Brendan McCane; Alistair Knott; Steven Mills (ICARA, 2015)

How to select hashing bits? A direct measurement approach. - Xiping Fu; Brendan McCane; Steven Mills; Michael H. Albert (IVCNZ, 2015)

Adapting generic trackers for tracking faces. - Maria Mikhisor; Geoff Wyvill; Brendan McCane; Steven Mills (IVCNZ, 2015)

Better than SIFT? - Nabeel Younus Khan; Brendan McCane; Steven Mills (Mach. Vis. Appl., 2015)

Deep networks are efficient for circular manifolds. - Brendan McCane; Lech Szymanski (ICPR, 2016)

Collaborative representation based fine-grained species recognition. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2016)

Deep convolutional encoder-decoder for myelin and axon segmentation. - Rassoul Mesbah; Brendan McCane; Steven Mills (IVCNZ, 2016)

Auto-JacoBin: Auto-encoder Jacobian Binary Hashing. - Xiping Fu; Brendan McCane; Steven Mills; Michael H. Albert; Lech Szymanski (CoRR, 2016)

Three Dimensional (3D) Lumbar Vertebrae Data Set. - Hamza Bennani; Brendan McCane; Jon Cornwall (Data Sci. J., 2016)

SIFT10M. - Xiping Fu; Brendan McCane; Steven Mills; Michael H. Albert; Lech Szymanski (UCI Machine Learning Repository, 2016)

Mastery Learning in Introductory Programming. - Brendan McCane; Claudia Ott; Nick Meek; Anthony V. Robins (ACE, 2017)

Improving Spatial Context in CNNs for Semantic Medical Image Segmentation. - Russel Mesbah; Brendan McCane; Steven Mills; Anthony V. Robins (ACPR, 2017)

A Generalised Formulation for Collaborative Representation of Image Patches (GP-CRC). - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (BMVC, 2017)

Conditional random fields incorporate convolutional neural networks for human eye sclera semantic segmentation. - Russel Mesbah; Brendan McCane; Steven Mills (IJCB, 2017)

Self-organising temporal pooling. - Daniel Slack; Brendan McCane; Alistair Knott (IJCNN, 2017)

Increasing the accuracy of convolutional neural networks with progressive reinitialisation. - Craig Atkinson; Brendan McCane; Lech Szymanski (IVCNZ, 2017)

Deep Radial Kernel Networks: Approximating Radially Symmetric Functions with Deep Networks. - Brendan McCane; Lech Szymanski (CoRR, 2017)

Effects of the optimisation of the margin distribution on generalisation in deep architectures. - Lech Szymanski; Brendan McCane; Wei Gao 008; Zhi-Hua Zhou (CoRR, 2017)

LOOP Descriptor: Encoding Repeated Local Patterns for Fine-grained Visual Identification of Lepidoptera. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2017)

Twin Bounded Large Margin Distribution Machine. - Haitao Xu; Brendan McCane; Lech Szymanski (Australasian Conference on Artificial Intelligence, 2018)

EmotioNet: A 3-D Convolutional Neural Network for EEG-based Emotion Recognition. - Yi Wang 126; Zhiyi Huang 001; Brendan McCane; Phoebe Neo (IJCNN, 2018)

Fine-grained Collaborative K-Means Clustering. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2018)

Five years of Mastery Learning: What did we learn? - Claudia Ott; Brendan McCane; Nick Meek (Koli Calling, 2018)

Pseudo-Recursal: Solving the Catastrophic Forgetting Problem in Deep Neural Networks. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (CoRR, 2018)

Some Approximation Bounds for Deep Networks. - Brendan McCane; Lech Szymanski (CoRR, 2018)

The effect of the choice of neural network depth and breadth on the size of its hypothesis space. - Lech Szymanski; Brendan McCane; Michael H. Albert (CoRR, 2018)

Efficiency of deep networks for radially symmetric functions. - Brendan McCane; Lech Szymanski (Neurocomputing, 2018)

LOOP Descriptor: Local Optimal-Oriented Pattern. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IEEE Signal Process. Lett., 2018)

Executing Declarative Parallel Representations of Sequences with Temporal Pooling. - Daniel Slack; Alistair Knott; Brendan McCane (IJCNN, 2019)

AnxietyDecoder: An EEG-based Anxiety Predictor using a 3-D Convolutional Neural Network. - Yi Wang 126; Brendan McCane; Neil McNaughton; Zhiyi Huang 001; Shabah M. Shadli; Phoebe Neo (IJCNN, 2019)

Three-Dimensional (3D) Reconstruction of Dried Vertebrae from Bi-planar Radiographs. - Hamza Bennani; Brendan McCane (IVCNZ, 2019)

CoCoNet: A Collaborative Convolutional Network. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

PProCRC: Probabilistic Collaboration of Image Patches. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

Distance Metric Learned Collaborative Representation Classifier. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (CoRR, 2019)

Switched linear projections and inactive state sensitivity for deep neural network interpretability. - Lech Szymanski; Brendan McCane; Craig Atkinson (CoRR, 2019)

GRIm-RePR: Prioritising Generating Important Features for Pseudo-Rehearsal. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (CoRR, 2019)

RocNet: Recursive Octree Network for Efficient 3D Deep Representation. - Juncheng Liu; Steven Mills; Brendan McCane (3DV, 2020)

Trait depressivity prediction with EEG signals via LSBoost. - Shenghuan Zhang; Brendan McCane; Phoebe Neo; Shabah M. Shadli; Neil McNaughton (IJCNN, 2020)

CoCoNet: A Collaborative Convolutional Network applied to fine-grained bird species classification. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2020)

PProCRC: Probabilistic Collaboration of Image Patches for Fine-grained Classification. - Tapabrata Chakraborti; Brendan McCane; Steven Mills; Umapada Pal 001 (IVCNZ, 2020)

Variational Autoencoder for 3D Voxel Compression. - Juncheng Liu; Steven Mills; Brendan McCane (IVCNZ, 2020)

MIME: Mutual Information Minimisation Exploration. - Haitao Xu; Brendan McCane; Lech Szymanski; Craig Atkinson (CoRR, 2020)

Mastery Learning in CS1 - An Invitation to Procrastinate?: Reflecting on Six Years of Mastery Learning. - Claudia Ott; Brendan McCane; Nick Meek (ITiCSE (1), 2021)

Conceptual capacity and effective complexity of neural networks. - Lech Szymanski; Brendan McCane; Craig Atkinson (CoRR, 2021)

Pseudo-rehearsal: Achieving deep reinforcement learning without catastrophic forgetting. - Craig Atkinson; Brendan McCane; Lech Szymanski; Anthony V. Robins (Neurocomputing, 2021)

Three-dimensional reconstruction of In Vivo human lumbar spine from biplanar radiographs. - Hamza Bennani; Brendan McCane; Jon Cornwall (Comput. Medical Imaging Graph., 2022)

RocNet: Recursive octree network for efficient 3D processing. - Juncheng Liu; Steven Mills; Brendan McCane (Comput. Vis. Image Underst., 2022)

Conceptual complexity of neural networks. - Lech Szymanski; Brendan McCane; Craig Atkinson (Neurocomputing, 2022)

VASE: Variational Assorted Surprise Exploration for Reinforcement Learning. - Haitao Xu; Lech Szymanski; Brendan McCane (IEEE Trans. Neural Networks Learn. Syst., 2023)

Medical Image Synthesis Using Autoencoder with Vision Transformer. - Zakia Zinat Choudhury; Brendan McCane; Sean Coffey (IVCNZ, 2024)

Learning to explore by reinforcement over high-level options. - Juncheng Liu; Brendan McCane; Steven Mills (Mach. Vis. Appl., 2024)