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2020 – today
- 2024
[i61]Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu:
Resolving Ethics Trade-offs in Implementing Responsible AI. CoRR abs/2401.08103 (2024)- [i60]Ben Harwood, Amir Dezfouli, Iadine Chades, Conrad Sanderson:
Approximate Nearest Neighbour Search on Dynamic Datasets: An Investigation. CoRR abs/2404.19284 (2024) - [i59]Sevvandi Kandanaarachchi, Conrad Sanderson, Rob J. Hyndman:
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphs. CoRR abs/2410.05687 (2024) - 2023
- [j27]Majid Namazi, M. A. Hakim Newton
, Conrad Sanderson, Abdul Sattar:
Solving travelling thief problems using coordination based methods. J. Heuristics 29(4-6): 487-544 (2023) - [j26]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. J. Open Source Softw. 8(82): 5026 (2023) - [c82]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. IJCNN 2023: 1-7 - [c81]Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. INNS DLIA@IJCNN 2023: 367-376 - [i58]Ryan R. Curtin, Marcus Edel, Omar Shrit, Shubham Agrawal, Suryoday Basak, James Joseph Balamuta, Ryan Birmingham, Kartik Dutt, Dirk Eddelbuettel, Rishabh Garg, Shikhar Jaiswal, Aakash Kaushik, Sangyeon Kim, Anjishnu Mukherjee, Nanubala Gnana Sai, Nippun Sharma, Yashwant Singh Parihar, Roshan Swain, Conrad Sanderson:
mlpack 4: a fast, header-only C++ machine learning library. CoRR abs/2302.00820 (2023) - [i57]Conrad Sanderson, David Douglas, Qinghua Lu:
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects. CoRR abs/2304.08275 (2023) - [i56]Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert:
A Neural Emulator for Uncertainty Estimation of Fire Propagation. CoRR abs/2305.06139 (2023) - [i55]Stefan Hajkowicz, Conrad Sanderson, Sarvnaz Karimi, Alexandra Bratanova, Claire K. Naughtin:
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. CoRR abs/2306.09145 (2023) - [i54]Ryan R. Curtin, Marcus Edel, Conrad Sanderson:
Bandicoot: C++ Library for GPU Linear Algebra and Scientific Computing. CoRR abs/2308.03120 (2023) - [i53]Juan Sandino, Peter A. Caccetta, Conrad Sanderson, Frédéric Maire, Felipe Gonzalez:
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance. CoRR abs/2308.10671 (2023) - [i52]Majid Namazi, M. A. Hakim Newton, Conrad Sanderson, Abdul Sattar:
Solving Travelling Thief Problems using Coordination Based Methods. CoRR abs/2310.07156 (2023) - 2022
- [c80]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Implementing Responsible AI. IEEE Big Data 2022: 5076-5081 - [c79]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software engineering for Responsible AI: An empirical study and operationalised patterns. ICSE (SEIP) 2022: 241-242 - [c78]Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson:
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. SPA 2022: 110-115 - [i51]Conrad Sanderson, Qinghua Lu, David Douglas, Xiwei Xu, Liming Zhu, Jon Whittle:
Towards Operationalising Responsible AI: An Empirical Study. CoRR abs/2205.04358 (2022) - [i50]Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson:
A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. CoRR abs/2206.08523 (2022) - [i49]Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert:
Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. CoRR abs/2212.00970 (2022) - 2021
- [j25]Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
The ensmallen library for flexible numerical optimization. J. Mach. Learn. Res. 22: 166:1-166:6 (2021) - [j24]Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson:
PyArmadillo: a streamlined linear algebra library for Python. J. Open Source Softw. 6(66): 3051 (2021) - [j23]Juan Sandino, Frédéric Maire, Peter Caccetta, Conrad Sanderson, Felipe Gonzalez:
Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty. Remote. Sens. 13(21): 4481 (2021) - [i48]Jason Rumengan, Terry Yue Zhuo, Conrad Sanderson:
PyArmadillo: a streamlined linear algebra library for Python. CoRR abs/2104.11120 (2021) - [i47]Xiaolong Zhu, Fernando Vanegas, Felipe Gonzalez, Conrad Sanderson:
A Multi-UAV System for Exploration and Target Finding in Cluttered and GPS-Denied Environments. CoRR abs/2107.08834 (2021) - [i46]Conrad Sanderson, Daniel Edward Pagendam, Brendan Power, Frederick Bennett, Ross Darnell:
Opportunistic Emulation of Computationally Expensive Simulations via Deep Learning. CoRR abs/2108.11057 (2021) - [i45]Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
The ensmallen library for flexible numerical optimization. CoRR abs/2108.12981 (2021) - [i44]Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, David Douglas, Conrad Sanderson:
Software Engineering for Responsible AI: An Empirical Study and Operationalised Patterns. CoRR abs/2111.09478 (2021) - [i43]Conrad Sanderson, David Douglas, Qinghua Lu, Emma Schleiger, Jon Whittle, Justine Lacey, Glenn J. Newnham, Stefan Hajkowicz, Cathy Robinson, David Hansen:
AI Ethics Principles in Practice: Perspectives of Designers and Developers. CoRR abs/2112.07467 (2021) - 2020
- [j22]Juan Sandino, Fernando Vanegas, Frédéric Maire, Peter Caccetta, Conrad Sanderson, Felipe Gonzalez:
UAV Framework for Autonomous Onboard Navigation and People/Object Detection in Cluttered Indoor Environments. Remote. Sens. 12(20): 3386 (2020) - [c77]Conrad Sanderson, Ryan R. Curtin:
An Adaptive Solver for Systems of Linear Equations. ICSPCS 2020: 1-6 - [c76]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
Surrogate Assisted Optimisation for Travelling Thief Problems. SOCS 2020: 111-115 - [i42]Ryan R. Curtin, Marcus Edel, Rahul Ganesh Prabhu, Suryoday Basak, Zhihao Lou, Conrad Sanderson:
Flexible numerical optimization with ensmallen. CoRR abs/2003.04103 (2020) - [i41]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
Surrogate Assisted Optimisation for Travelling Thief Problems. CoRR abs/2005.06695 (2020) - [i40]Conrad Sanderson, Ryan R. Curtin:
An Adaptive Solver for Systems of Linear Equations. CoRR abs/2007.11208 (2020)
2010 – 2019
- 2019
- [c75]Majid Namazi, M. A. Hakim Newton, Abdul Sattar, Conrad Sanderson:
A Profit Guided Coordination Heuristic for Travelling Thief Problems. SOCS 2019: 140-144 - [i39]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Abdul Sattar:
A Cooperative Coordination Solver for Travelling Thief Problems. CoRR abs/1911.03124 (2019) - 2018
- [c74]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. Australasian Conference on Artificial Intelligence 2018: 299-311 - [c73]Conrad Sanderson, Ryan R. Curtin:
A User-Friendly Hybrid Sparse Matrix Class in C++. ICMS 2018: 422-430 - [i38]Conrad Sanderson, Ryan R. Curtin:
A User-Friendly Hybrid Sparse Matrix Class in C++. CoRR abs/1805.03380 (2018) - [i37]Majid Namazi, Conrad Sanderson, M. A. Hakim Newton, Md. Masbaul Alam Polash, Abdul Sattar:
Diversified Late Acceptance Search. CoRR abs/1806.09328 (2018) - [i36]Shikhar Bhardwaj, Ryan R. Curtin, Marcus Edel, Yannis Mentekidis, Conrad Sanderson:
ensmallen: a flexible C++ library for efficient function optimization. CoRR abs/1810.09361 (2018) - [i35]Conrad Sanderson, Ryan R. Curtin:
User-Friendly Sparse Matrices with Hybrid Storage and Template-Based Expression Optimisation. CoRR abs/1811.08768 (2018) - 2017
- [j21]Conrad Sanderson, Ryan R. Curtin:
gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation. J. Open Source Softw. 2(18): 365 (2017) - [c72]Conrad Sanderson, Ryan R. Curtin:
An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation. ICSPCS 2017: 1-8 - [i34]Conrad Sanderson, Ryan R. Curtin:
An Open Source C++ Implementation of Multi-Threaded Gaussian Mixture Models, k-Means and Expectation Maximisation. CoRR abs/1707.09094 (2017) - 2016
- [j20]Conrad Sanderson, Ryan R. Curtin:
Armadillo: a template-based C++ library for linear algebra. J. Open Source Softw. 1(2): 26 (2016) - [j19]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1294-1306 (2016) - [c71]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification. DICTA 2016: 1-6 - [c70]Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Towards Miss Universe automatic prediction: The evening gown competition. ICPR 2016: 1089-1094 - [c69]Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. PAKDD Workshops 2016: 88-100 - [c68]Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. PAKDD Workshops 2016: 115-127 - [c67]ZongYuan Ge, Alex Bewley, Christopher McCool, Peter I. Corke, Ben Upcroft, Conrad Sanderson:
Fine-grained classification via mixture of deep convolutional neural networks. WACV 2016: 1-6 - [i33]Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. CoRR abs/1602.01599 (2016) - [i32]Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. CoRR abs/1602.01601 (2016) - [i31]Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Towards Miss Universe Automatic Prediction: The Evening Gown Competition. CoRR abs/1604.07547 (2016) - [i30]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid, Peter I. Corke:
Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification. CoRR abs/1608.00486 (2016) - 2015
- [j18]Masoud Faraki, Maziar Palhang, Conrad Sanderson:
Log-Euclidean bag of words for human action recognition. IET Comput. Vis. 9(3): 331-339 (2015) - [j17]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. Int. J. Comput. Vis. 114(2-3): 113-136 (2015) - [c66]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke:
Content Specific Feature Learning for Fine-Grained Plant Classification. CLEF (Working Notes) 2015 - [c65]ZongYuan Ge, Christopher McCool, Conrad Sanderson, Peter I. Corke:
Subset feature learning for fine-grained category classification. CVPR Workshops 2015: 46-52 - [c64]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Bags of Affine Subspaces for Robust Object Tracking. DICTA 2015: 1-7 - [c63]ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke:
Fine-grained bird species recognition via hierarchical subset learning. ICIP 2015: 561-565 - [c62]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter Corke:
Modelling local deep convolutional neural network features to improve fine-grained image classification. ICIP 2015: 4112-4116 - [i29]Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell:
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. CoRR abs/1502.01782 (2015) - [i28]ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke:
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification. CoRR abs/1502.07802 (2015) - [i27]ZongYuan Ge, Christopher McCool, Conrad Sanderson, Peter I. Corke:
Subset Feature Learning for Fine-Grained Category Classification. CoRR abs/1505.02269 (2015) - [i26]ZongYuan Ge, Alex Bewley, Christopher McCool, Ben Upcroft, Peter Corke, Conrad Sanderson:
Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks. CoRR abs/1511.09209 (2015) - 2014
- [j16]Dirk Eddelbuettel, Conrad Sanderson:
RcppArmadillo: Accelerating R with high-performance C++ linear algebra. Comput. Stat. Data Anal. 71: 1054-1063 (2014) - [j15]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
On robust face recognition via sparse coding: the good, the bad and the ugly. IET Biom. 3(4): 176-189 (2014) - [j14]Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell:
Automatic classification of Human Epithelial type 2 cell Indirect Immunofluorescence images using Cell Pyramid Matching. Pattern Recognit. 47(7): 2315-2324 (2014) - [c61]Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell:
Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients. MLSDA@PRICAI 2014: 19 - [c60]Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson:
Random projections on manifolds of Symmetric Positive Definite matrices for image classification. WACV 2014: 301-308 - [c59]Johanna Carvajal, Chris McCool, Conrad Sanderson:
Summarisation of short-term and long-term videos using texture and colour. WACV 2014: 769-775 - [c58]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object tracking via non-Euclidean geometry: A Grassmann approach. WACV 2014: 901-908 - [c57]Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Matching image sets via adaptive multi convex hull. WACV 2014: 1074-1081 - [i25]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson:
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds. CoRR abs/1401.8126 (2014) - [i24]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Brian C. Lovell, Conrad Sanderson:
Object Tracking via Non-Euclidean Geometry: A Grassmann Approach. CoRR abs/1403.0309 (2014) - [i23]Johanna Carvajal, Chris McCool, Conrad Sanderson:
Summarisation of Short-Term and Long-Term Videos using Texture and Colour. CoRR abs/1403.0315 (2014) - [i22]Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell:
Matching Image Sets via Adaptive Multi Convex Hull. CoRR abs/1403.0320 (2014) - [i21]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-Shot Person Re-Identification via Relational Stein Divergence. CoRR abs/1403.0699 (2014) - [i20]Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson:
Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification. CoRR abs/1403.0700 (2014) - [i19]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection. CoRR abs/1403.1056 (2014) - [i18]Arnold Wiliem, Conrad Sanderson, Yongkang Wong, Peter Hobson, Rodney F. Minchin, Brian C. Lovell:
Automatic Classification of Human Epithelial Type 2 Cell Indirect Immunofluorescence Images using Cell Pyramid Matching. CoRR abs/1403.3780 (2014) - [i17]Masoud Faraki, Maziar Palhang, Conrad Sanderson:
Log-Euclidean Bag of Words for Human Action Recognition. CoRR abs/1406.2139 (2014) - [i16]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
MRF-based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. CoRR abs/1406.5095 (2014) - [i15]Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi:
Improved Object Tracking via Bags of Affine Subspaces. CoRR abs/1408.2313 (2014) - [i14]Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson:
Sparse Coding on Symmetric Positive Definite Manifolds using Bregman Divergences. CoRR abs/1409.0083 (2014) - 2013
- [j13]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Kernel analysis on Grassmann manifolds for action recognition. Pattern Recognit. Lett. 34(15): 1906-1915 (2013) - [j12]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration. IEEE Trans. Circuits Syst. Video Technol. 23(1): 83-93 (2013) - [c56]Shaokang Chen, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces. CVPR 2013: 452-459 - [c55]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. ICCV 2013: 3120-3127 - [c54]Azadeh Alavi, Yan Yang, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Multi-shot person re-identification via relational Stein divergence. ICIP 2013: 3542-3546 - [c53]Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell:
Classification of Human Epithelial type 2 cell indirect immunofluoresence images via codebook based descriptors. WACV 2013: 95-102 - [c52]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-temporal covariance descriptors for action and gesture recognition. WACV 2013: 103-110 - [c51]Azadeh Alavi, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
Relational divergence based classification on Riemannian manifolds. WACV 2013: 111-116 - [i13]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson:
On Robust Face Recognition via Sparse Encoding: the Good, the Bad, and the Ugly. CoRR abs/1303.1624 (2013) - [i12]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. CoRR abs/1303.2465 (2013) - [i11]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. CoRR abs/1303.2783 (2013) - [i10]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Foreground Detection via Block-based Classifier Cascade with Probabilistic Decision Integration. CoRR abs/1303.4160 (2013) - [i9]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
Spatio-Temporal Covariance Descriptors for Action and Gesture Recognition. CoRR abs/1303.6021 (2013) - [i8]Sandra Mau, Shaokang Chen, Conrad Sanderson, Brian C. Lovell:
Video Face Matching using Subset Selection and Clustering of Probabilistic Multi-Region Histograms. CoRR abs/1303.6361 (2013) - [i7]Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell:
Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition. CoRR abs/1304.0869 (2013) - [i6]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved Anomaly Detection in Crowded Scenes via Cell-based Analysis of Foreground Speed, Size and Texture. CoRR abs/1304.0886 (2013) - [i5]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Shadow Detection: A Survey and Comparative Evaluation of Recent Methods. CoRR abs/1304.1233 (2013) - [i4]Arnold Wiliem, Yongkang Wong, Conrad Sanderson, Peter Hobson, Shaokang Chen, Brian C. Lovell:
Classification of Human Epithelial Type 2 Cell Indirect Immunofluoresence Images via Codebook Based Descriptors. CoRR abs/1304.1262 (2013) - [i3]Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell:
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference. CoRR abs/1304.2133 (2013) - [i2]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. CoRR abs/1304.4344 (2013) - [i1]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Chunhua Shen, Brian C. Lovell:
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution. CoRR abs/1310.4891 (2013) - 2012
- [j11]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Shadow detection: A survey and comparative evaluation of recent methods. Pattern Recognit. 45(4): 1684-1695 (2012) - [c50]Conrad Sanderson, Mehrtash Tafazzoli Harandi, Yongkang Wong, Brian C. Lovell:
Combined Learning of Salient Local Descriptors and Distance Metrics for Image Set Face Verification. AVSS 2012: 294-299 - [c49]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Richard I. Hartley, Brian C. Lovell:
Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach. ECCV (2) 2012: 216-229 - [c48]Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell:
K-tangent spaces on Riemannian manifolds for improved pedestrian detection. ICIP 2012: 473-476 - [c47]Sareh Abolahrari Shirazi, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Azadeh Alavi, Brian C. Lovell:
Clustering on Grassmann manifolds via kernel embedding with application to action analysis. ICIP 2012: 781-784 - [c46]Yongkang Wong, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Brian C. Lovell:
On robust biometric identity verification via sparse encoding of faces: Holistic vs local approaches. IJCNN 2012: 1-8 - [c45]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Arnold Wiliem, Brian C. Lovell:
Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures. WACV 2012: 433-439 - 2011
- [j10]Shaokang Chen, Sandra Mau, Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Face Recognition from Still Images to Video Sequences: A Local-Feature-Based Framework. EURASIP J. Image Video Process. 2011 (2011) - [j9]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts. EURASIP J. Image Video Process. 2011 (2011) - [c44]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture. CVPR Workshops 2011: 55-61 - [c43]Yongkang Wong, Shaokang Chen, Sandra Mau, Conrad Sanderson, Brian C. Lovell:
Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition. CVPR Workshops 2011: 74-81 - [c42]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Sareh Abolahrari Shirazi, Brian C. Lovell:
Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching. CVPR 2011: 2705-2712 - [c41]Yan Yang, Farhad Dadgostar, Conrad Sanderson, Brian C. Lovell:
Summarisation of surveillance videos by key-frame selection. ICDSC 2011: 1-6 - [c40]Mehrtash Tafazzoli Harandi, Conrad Sanderson, Abbas Bigdeli, Brian C. Lovell:
Ensemble of furthest subspace pairs for enhanced image set matching. ICIP 2011: 821-824 - 2010
- [c39]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos. ACCV (3) 2010: 547-559 - [c38]Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian C. Lovell:
Adaptive Patch-Based Background Modelling for Improved Foreground Object Segmentation and Tracking. AVSS 2010: 172-179 - [c37]Andres Sanin, Conrad Sanderson, Brian C. Lovell:
Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios. ICPR 2010: 141-144 - [c36]Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes:
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 2010: 210-225 - [c35]Yongkang Wong, Conrad Sanderson, Sandra Mau, Brian C. Lovell:
Dynamic Amelioration of Resolution Mismatches for Local Feature Based Identity Inference. ICPR 2010: 1200-1203 - [c34]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
Robust Foreground Object Segmentation via Adaptive Region-Based Background Modelling. ICPR 2010: 3939-3942
2000 – 2009
- 2009
- [c33]Akshay Asthana, Conrad Sanderson, Tamás D. Gedeon, Roland Göcke:
Learning-based Face Synthesis for Pose-Robust Recognition from Single Image. BMVC 2009: 1-10 - [c32]Yongkang Wong, Conrad Sanderson, Brian C. Lovell:
Regression Based Non-frontal Face Synthesis for Improved Identity Verification. CAIP 2009: 116-124 - [c31]Conrad Sanderson, Brian C. Lovell:
Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference. ICB 2009: 199-208 - [c30]Vikas Reddy, Conrad Sanderson, Brian C. Lovell, Abbas Bigdeli:
An efficient background estimation algorithm for embedded smart cameras. ICDSC 2009: 1-7 - [c29]Vikas Reddy, Conrad Sanderson, Brian C. Lovell:
An efficient and robust sequential algorithm for background estimation in video surveillance. ICIP 2009: 1109-1112 - [p1]Conrad Sanderson, Abbas Bigdeli, Ting Shan, Shaokang Chen, Erik Berglund, Brian C. Lovell:
Intelligent CCTV for Mass Transport Security: Challenges and Opportunities for Video and Face Processing. Progress in Computer Vision and Image Analysis 2009: 557- - 2008
- [j8]Conrad Sanderson, Danny Gibbins, Stephen J. Searle:
On statistical approaches to target silhouette classification in difficult conditions. Digit. Signal Process. 18(3): 375-390 (2008) - [c28]Shaokang Chen, Erik Berglund, Abbas Bigdeli, Conrad Sanderson, Brian C. Lovell:
Experimental Analysis of Face Recognition on Still and CCTV Images. AVSS 2008: 317-324 - [c27]Brian C. Lovell, Shaokang Chen, Abbas Bigdeli, Erik Berglund, Conrad Sanderson:
On intelligent surveillance systems and face recognition for mass transport security. ICARCV 2008: 713-718 - [c26]Shaokang Chen, Conrad Sanderson, Sai Sun, Brian C. Lovell:
Representative feature chain for single gallery image face recognition. ICPR 2008: 1-4 - [c25]Suyu Kong, Manas Kamal Bhuyan, Conrad Sanderson, Brian C. Lovell:
Tracking of persons for video surveillance of unattended environments. ICPR 2008: 1-4 - 2007
- [c24]Conrad Sanderson, Ting Shan, Brian C. Lovell:
Towards Pose-Invariant 2D Face Classification for Surveillance. AMFG 2007: 276-289 - [c23]Suyu Kong, Conrad Sanderson, Brian C. Lovell:
Classifying and tracking multiple persons for proactive surveillance of mass transport systems. AVSS 2007: 159-163 - [c22]Ting Shan, Shaokang Chen, Conrad Sanderson, Brian C. Lovell:
Towards robust face recognition for Intelligent-CCTV based surveillance using one gallery image. AVSS 2007: 470-475 - 2006
- [j7]Conrad Sanderson, Samy Bengio, Yongsheng Gao:
On transforming statistical models for non-frontal face verification. Pattern Recognit. 39(2): 288-302 (2006) - [j6]Fabien Cardinaux, Conrad Sanderson, Samy Bengio:
User authentication via adapted statistical models of face images. IEEE Trans. Signal Process. 54(1): 361-373 (2006) - [c21]Justin Bedo, Conrad Sanderson, Adam Kowalczyk:
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinformatics. Australian Conference on Artificial Intelligence 2006: 170-180 - [c20]Conrad Sanderson, Simon Günter:
Short Text Authorship Attribution via Sequence Kernels, Markov Chains and Author Unmasking: An Investigation. EMNLP 2006: 482-491 - [c19]Conrad Sanderson, Simon Günter:
On Authorship Attribution via Markov Chains and Sequence Kernels. ICPR (3) 2006: 437-440 - 2005
- [c18]Conrad Sanderson, Fabien Cardinaux, Samy Bengio:
On Accuracy/Robustness/Complexity Trade-Offs in Face Verification. ICITA (1) 2005: 638-643 - [c17]Conrad Sanderson, Marc Saban, Yongsheng Gao:
On Local Features for GMM Based Face Verification. ICITA (1) 2005: 650-655 - 2004
- [j5]Conrad Sanderson, Kuldip K. Paliwal:
Identity verification using speech and face information. Digit. Signal Process. 14(5): 449-480 (2004) - [c16]Fabien Cardinaux, Conrad Sanderson, Samy Bengio:
Face Verification Using Adapted Generative Models. FGR 2004: 825-830 - [c15]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Sébastien Marcel, Samy Bengio, Fabien Cardinaux, Conrad Sanderson, Norman Poh, Yann Rodriguez, Krzysztof Kryszczuk, Jacek Czyz, Luc Vandendorpe, Johnny Ng, Humphrey Cheung, Billy Tang:
Face Authentication Competition on the BANCA Database. ICBA 2004: 8-15 - [c14]Norman Poh Hoon Thian, Conrad Sanderson, Samy Bengio:
Spectral Subband Centroids as Complementary Features for Speaker Authentication. ICBA 2004: 631-639 - [c13]Conrad Sanderson, Samy Bengio:
Statistical transformations of frontal models for non-frontal face verification. ICIP 2004: 585-588 - [c12]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Miroslav Hamouz, Alexey Kostin, Fabien Cardinaux, Sébastien Marcel, Samy Bengio, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Chris McCool, Scott Lowther, Sridha Sridharan, Vinod Chandran, Roberto Paredes Palacios, Enrique Vidal, Li Bai, LinLin Shen, Yan Wang, Yueh-Hsuan Chiang, Hsien-Chang Liu, Yi-Ping Hung, Alexander Heinrichs, Marco K. Müller, Andreas Tewes, Christoph von der Malsburg, Rolf P. Würtz, Zhenger Wang, Feng Xue, Yong Ma, Qiong Yang, Chi Fang, Xiaoqing Ding, Simon Lucey, Ralph Goss, Henry Schneiderman, Norman Poh, Yann Rodriguez:
Face Authentication Test on the BANCA Database. ICPR (4) 2004: 523-532 - 2003
- [j4]Conrad Sanderson, Kuldip K. Paliwal:
Noise compensation in a person verification system using face and multiple speech feature. Pattern Recognit. 36(2): 293-302 (2003) - [j3]Conrad Sanderson, Kuldip K. Paliwal:
Fast features for face authentication under illumination direction changes. Pattern Recognit. Lett. 24(14): 2409-2419 (2003) - [j2]Conrad Sanderson, Kuldip K. Paliwal:
Structurally noise resistant classifier for multi-modal person verification. Pattern Recognit. Lett. 24(16): 3089-3099 (2003) - [j1]Conrad Sanderson, Kuldip K. Paliwal:
Features for robust face-based identity verification. Signal Process. 83(5): 931-940 (2003) - [c11]Conrad Sanderson, Samy Bengio:
Robust Features for Frontal Face Authentication in Difficult Image Conditions. AVBPA 2003: 495-504 - [c10]Fabien Cardinaux, Conrad Sanderson, Sébastien Marcel:
Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS. AVBPA 2003: 911-920 - [c9]Kieron Messer, Josef Kittler, Mohammad Sadeghi, Sébastien Marcel, Christine Marcel, Samy Bengio, Fabien Cardinaux, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Sanun Srisuk, Maria Petrou, Werasak Kurutach, Alexander Kadyrov, Roberto Paredes, Burcu Kepenekci, Faik Boray Tek, Gozde Bozdagi Akar, Farzin Deravi, Nick Jeremy Mavity:
Face Verification Competition on the XM2VTS Database. AVBPA 2003: 964-974 - [c8]Conrad Sanderson, Kuldip K. Paliwal:
Noise resistant audio-visual verification via structural constraints. ICASSP (5) 2003: 716-719 - [c7]Conrad Sanderson, Samy Bengio, Hervé Bourlard, Johnny Mariéthoz, Ronan Collobert, Mohamed Faouzi BenZeghiba, Fabien Cardinaux, Sébastien Marcel:
Speech & face based biometric authentication at IDIAP. ICME 2003: 1-4 - 2002
- [c6]Kuldip K. Paliwal, Conrad Sanderson:
Likelihood normalization for face authentication in variable recording conditions. ICIP (1) 2002: 301-304 - [c5]Conrad Sanderson, Kuldip K. Paliwal:
Polynomial features for robust face authentication. ICIP (3) 2002: 997-1000 - 2001
- [c4]Conrad Sanderson, Kuldip K. Paliwal:
Joint Cohort Normalization in a Multi-Feature Speaker Verification System. FUZZ-IEEE 2001: 232-235 - [c3]Conrad Sanderson, Kuldip K. Paliwal:
Noise compensation in a multi-modal verification system. ICASSP 2001: 157-160 - [c2]Conrad Sanderson, Kuldip K. Paliwal:
Information fusion for robust speaker verification. INTERSPEECH 2001: 755-758
1990 – 1999
- 1999
- [c1]Conrad Sanderson, Kuldip K. Paliwal:
Multi-modal person verification system based on face profiles and speech. ISSPA 1999: 947-950
Coauthor Index
Mehrtash Harandi
aka: Mehrtash Tafazzoli Harandi
aka: Mehrtash Tafazzoli Harandi
[j19] [c70] [c69] [c68] [i33] [i32] [i31] [j17] [i29] [j14] [c61] [c60] [c58] [c57] [i25] [i24] [i22] [i20] [i19] [i18] [i16] [i14] [j13] [j12] [c56] [c55] [c53] [c52] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1] [j11] [c50] [c49] [c48] [c47] [c46] [c45] [j10] [j9] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [c32] [c31] [c30] [c29] [p1] [c28] [c27] [c26] [c25] [c24] [c23] [c22]
Chris McCool
aka: Christopher McCool
aka: Christopher McCool
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