C. Sanderson

发表

Polynomial features for robust face authentication

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2002, Proceedings. International Conference on Image Processing.

Biometric Person Recognition: Face, Speech and Fusion

Conrad Sanderson, C. Sanderson, 2008 .

Subset feature learning for fine-grained category classification

Peter I. Corke, Conrad Sanderson, Chris McCool, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Spatio-temporal covariance descriptors for action and gesture recognition

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Face authentication test on the BANCA database

LinLin Shen, Li Bai, Luc Vandendorpe, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

STATISTICAL TRANSFORMATION TECHNIQUES FOR FACE VERIFICATION USING FACES ROTATED IN DEPTH

Samy Bengio, Conrad Sanderson, Samy Bengio, 2004 .

Face Processing & Frontal Face Verification

C. Sanderson, Conrad Sanderson, 2003 .

Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, EURASIP J. Image Video Process..

Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Face verification using adapted generative models

Samy Bengio, Conrad Sanderson, Fabien Cardinaux, 2004, Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings..

TRAINING METHOD OF A PIECEWISE LINEAR CLASSIFIER FOR A MULTI-MODAL PERSON VERIFICATION SYSTEM

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2007 .

Face Recognition from Still Images to Video Sequences : A Local Facial Feature Based Framework

C. Sanderson, B. Lovell, Mehrtash Harandi, 2010 .

FACE BASED BIOMETRIC AUTHENTICATION AT IDIAP

Samy Bengio, Ronan Collobert, H. Bourlard, 2003 .

au Identity verification using speech and face

K. Paliwal, C. Sanderson, 2017 .

A Cooperative Coordination Solver for Travelling Thief Problems pdf

Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar, 2019, ArXiv.

IDENTITY VERIFICATION

K. Paliwal, C. Sanderson, 2004 .

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models

P. Kuhnert, C. Sanderson, Andrew Bolt, 2022, ArXiv.

Towards Operationalising Responsible AI: An Empirical Study

David M. Douglas, Q. Lu, C. Sanderson, 2022, ArXiv.

Towards Implementing Responsible AI

David M. Douglas, C. Sanderson, Xiwei Xu, 2022, 2205.04358.

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models

P. Kuhnert, C. Sanderson, Andrew Bolt, 2022, ArXiv.

Improved Object Tracking via Bags of Affine Subspaces

C. Sanderson, M. Harandi, C. McCool, 2014, ArXiv.

Differentiating artificial intelligence activity clusters in Australia

Claire K. Naughtin, C. Sanderson, S. Hajkowicz, 2022, Technology in Society.

Differentiating Artificial Intelligence Capability Clusters in Australia

Claire K. Naughtin, C. Sanderson, S. Hajkowicz, 2022, SSRN Electronic Journal.

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models

P. Kuhnert, C. Sanderson, Andrew Bolt, 2022, 2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).

Computer Vision and Image Processing for Automated Surveillance

Conrad Sanderson, C. Sanderson, 2016 .

Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty

Frederic Maire, Conrad Sanderson, Felipe Gonzalez, 2021, Remote. Sens..

AVSS 2016 Message from the chairs

Ram Nevatia, Visvanathan Ramesh, Conrad Sanderson, 2016, AVSS 2016.

Object Tracking and Person Re-Identification on Manifolds

Conrad Sanderson, C. Sanderson, 2016 .

Intelligent Surveillance and Robust 2D Face Recognition

Brian C. Lovell, Conrad Sanderson, Ting Shan, 2007 .

Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning pdf

Conrad Sanderson, Brendan Power, Dan Pagendam, 2021, MODSIM2021, 24th International Congress on Modelling and Simulation..

Software engineering for Responsible AI: An empirical study and operationalised patterns pdf

Liming Zhu, Xiwei Xu, Conrad Sanderson, 2021, 2022 IEEE/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP).

Armadillo C++ Linear Algebra Library

Conrad Sanderson, C. Sanderson, 2016 .

corrupted dataset - do not use

Peng Wang, Conrad Sanderson, Ian Reid, 2016 .

Towards Implementing Responsible AI

David M. Douglas, C. Sanderson, Xiwei Xu, 2022, 2205.04358.

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires

P. Kuhnert, C. Sanderson, Andrew Bolt, 2022, ArXiv.

Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation

Simon Günter, Conrad Sanderson, C. Sanderson, 2006, EMNLP.

An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics

Conrad Sanderson, Adam Kowalczyk, Justin Bedo, 2006, Australian Conference on Artificial Intelligence.

Kernel analysis on Grassmann manifolds for action recognition

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, Pattern Recognit. Lett..

Flexible numerical optimization with ensmallen

Ryan R. Curtin, C. Sanderson, Marcus Edel, 2020, ArXiv.

A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments

Conrad Sanderson, Felipe Gonzalez, Fernando Vanegas, 2021, 2021 International Conference on Unmanned Aircraft Systems (ICUAS).

Spectral Subband Centroids as Complementary Features for Speaker Authentication

Samy Bengio, Conrad Sanderson, Norman Poh, 2004, ICBA.

Classifying and tracking multiple persons for proactive surveillance of mass transport systems

Brian C. Lovell, Conrad Sanderson, Suyu Kong, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

ADAPTED GENERATIVE MODELS FOR FACE VERIFICATION

Samy Bengio, Conrad Sanderson, Fabien Cardinaux, 2003 .

Armadillo: An Open Source C++ Linear Algebra Library for Fast Prototyping and Computationally Intensive Experiments

Conrad Sanderson, C. Sanderson, 2010 .

Armadillo: a template-based C++ library for linear algebra

Conrad Sanderson, Ryan R. Curtin, C. Sanderson, 2016, J. Open Source Softw..

RcppArmadillo: Accelerating R with high-performance C++ linear algebra

Conrad Sanderson, Dirk Eddelbuettel, C. Sanderson, 2014, Comput. Stat. Data Anal..

A User-Friendly Hybrid Sparse Matrix Class in C++

Conrad Sanderson, Ryan R. Curtin, C. Sanderson, 2018, ICMS.

Practical Sparse Matrices in C++ with Hybrid Storage and Template-Based Expression Optimisation

Conrad Sanderson, Ryan R. Curtin, C. Sanderson, 2018 .

Fast Prototyping and Computationally Intensive Experiments

C. Sanderson, 2015 .

Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2013, EURASIP J. Image Video Process..

MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, ACCV.

Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2010, 2010 20th International Conference on Pattern Recognition.

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects

David M. Douglas, C. Sanderson, Qinghua Lu, 2023, ArXiv.

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires

P. Kuhnert, C. Sanderson, Andrew Bolt, 2022, Spatial Statistics.

Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference

Brian C. Lovell, Conrad Sanderson, C. Sanderson, 2009, ICB.

Log-Euclidean bag of words for human action recognition pdf

Conrad Sanderson, Maziar Palhang, Masoud Faraki, 2014, IET Comput. Vis..

Shadow detection: A survey and comparative evaluation of recent methods pdf

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2012, Pattern Recognit..

Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

Brian C. Lovell, Andres Sanin, Conrad Sanderson, 2010, 2010 20th International Conference on Pattern Recognition.

AI Ethics Principles in Practice: Perspectives of Designers and Developers

David M. Douglas, C. Sanderson, J. Whittle, 2021, IEEE Transactions on Technology and Society.

Towards Implementing Responsible AI

David M. Douglas, C. Sanderson, Xiwei Xu, 2022, 2022 IEEE International Conference on Big Data (Big Data).

On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

The Diffusion of Artificial Intelligence Technology Across Research Fields: A Bibliometric Analysis of Scholarly Publications from 1960-2021

Claire K. Naughtin, C. Sanderson, S. Hajkowicz, 2023, Social Science Research Network.

Identity verification using speech and face information

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2004, Digit. Signal Process..

On transforming statistical models for non-frontal face verification

Samy Bengio, Conrad Sanderson, Yongsheng Gao, 2006, Pattern Recognit..

Fast features for face authentication under illumination direction changes

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Pattern Recognit. Lett..

Robust Features for Frontal Face Authentication in Difficult Image Conditions

Samy Bengio, Conrad Sanderson, Samy Bengio, 2003, AVBPA.

Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS

Sébastien Marcel, Conrad Sanderson, Fabien Cardinaux, 2003, AVBPA.

Features for robust face-based identity verification

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Signal Process..

Robust Face Based Identity Veri cation

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2001 .

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2012, ECCV.

On Authorship Attribution via Markov Chains and Sequence Kernels

Simon Günter, Conrad Sanderson, C. Sanderson, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Experimental Analysis of Face Recognition on Still and CCTV Images

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image

Brian C. Lovell, Conrad Sanderson, Shaokang Chen, 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

On intelligent surveillance systems and face recognition for mass transport security

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation

Chi-Ho Chan, Yan Wang, Sébastien Marcel, 2010, ICPR Contests.

Towards Pose-Invariant 2D Face Classification for Surveillance

Brian C. Lovell, Conrad Sanderson, Ting Shan, 2007, AMFG.

Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors

Yongkang Wong, Brian C. Lovell, Arnold Wiliem, 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).

Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing

Brian C. Lovell, Conrad Sanderson, Erik Berglund, 2007, Progress in Computer Vision and Image Analysis.

Noise compensation in a person verification system using face and multiple speech feature

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2003, Pattern Recognit..

Artificial intelligence adoption in the physical sciences, natural sciences, life sciences, social sciences and the arts and humanities: A bibliometric analysis of research publications from 1960-2021

Claire K. Naughtin, C. Sanderson, S. Hajkowicz, 2023, Technology in Society.

Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors pdf

Brian C. Lovell, Conrad Sanderson, Chris McCool, 2016, PAKDD Workshops.

Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, 2013 IEEE International Conference on Computer Vision.

Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition

Yongkang Wong, Brian C. Lovell, Conrad Sanderson, 2011, CVPR 2011 WORKSHOPS.

Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2014, International Journal of Computer Vision.

A Cooperative Coordination Solver for Travelling Thief Problems

M. A. Hakim Newton, C. Sanderson, Abdul Sattar, 2019, ArXiv.

An Adaptive Solver for Systems of Linear Equations

Ryan R. Curtin, C. Sanderson, Conrad Sanderson, 2020, 2020 14th International Conference on Signal Processing and Communication Systems (ICSPCS).

Automatic Person Verification Using Speech and Face Information

Conrad Sanderson, C. Sanderson, Conrad Sanderson, 2003 .

Information Fusion and Person Verification Using Speech & Face Information

Kuldip K. Paliwal, Conrad Sanderson, K. Paliwal, 2002 .

Bags of Affine Subspaces for Robust Object Tracking

Conrad Sanderson, Mehrtash Tafazzoli Harandi, Chris McCool, 2014, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments

Frederic Maire, Conrad Sanderson, Juan Sandino, 2020, Remote. Sens..

The VidTIMIT Database

Conrad Sanderson, C. Sanderson, 2002 .

Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture

Brian C. Lovell, Conrad Sanderson, Vikas Reddy, 2011, CVPR 2011 WORKSHOPS.

Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects

David M. Douglas, C. Sanderson, Qinghua Lu, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation

Ryan R. Curtin, C. Sanderson, Conrad Sanderson, 2017, 2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS).

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

Conrad Sanderson, Ryan R. Curtin, C. Sanderson, 2017, J. Open Source Softw..

Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification

Peter I. Corke, Peng Wang, Ian D. Reid, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2016, PAKDD Workshops.

Modelling local deep convolutional neural network features to improve fine-grained image classification

Peter I. Corke, Conrad Sanderson, Chris McCool, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching pdf

Yongkang Wong, Brian C. Lovell, Arnold Wiliem, 2014, bioRxiv.

On robust face recognition via sparse coding: the good, the bad and the ugly

Yongkang Wong, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2013, IET Biom..

Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

C. Sanderson, B. Lovell, A. Sanin, 2010, 2010 20th International Conference on Pattern Recognition.

Towards Miss Universe automatic prediction: The evening gown competition

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Matching image sets via adaptive multi convex hull

Brian C. Lovell, Arnold Wiliem, Conrad Sanderson, 2014, IEEE Winter Conference on Applications of Computer Vision.

Ensemble of furthest subspace pairs for enhanced image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, 2011 18th IEEE International Conference on Image Processing.

Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

Brian C. Lovell, Conrad Sanderson, Mehrtash Tafazzoli Harandi, 2011, CVPR 2011.

The ensmallen library for flexible numerical optimization pdf

Conrad Sanderson, Suryoday Basak, Ryan R. Curtin, 2021, J. Mach. Learn. Res..