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    Author information
    First name: Conrad
    Last name: Sanderson
    DBLP: 64/803
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    Below you find the publications which have been written by this author.

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    Conference paper
    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 2016, Volume 0 (0) 2016
    Conference paper
    Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Towards Miss Universe Automatic Prediction: The Evening Gown Competition.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    ZongYuan Ge, Alex Bewley, Chris McCool, Peter I. Corke, Ben Upcroft, Conrad Sanderson.
    Fine-grained classification via mixture of deep convolutional neural networks.
    2016 IEEE Winter Conference on Applications of Computer Vision, WACV 2016, Lake Placid, NY, USA, March 7-10, 2016 2016 (0) 2016
    Conference paper
    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.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson.
    Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors.
    Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers 2016 (0) 2016
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid 0001, Peter I. Corke.
    Exploiting Temporal Information for DCNN-based Fine-Grained Object Classification.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peng Wang, Lingqiao Liu, Ian D. Reid 0001, Peter I. Corke.
    Exploiting Temporal Information for DCNN-Based Fine-Grained Object Classification.
    2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Gold Coast, Australia, November 30 - December 2, 2016 2016 (0) 2016
    Conference paper
    Johanna Carvajal, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Towards Miss Universe automatic prediction: The evening gown competition.
    23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 2016 (0) 2016
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Brian C. Lovell, Conrad Sanderson.
    Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.
    IEEE Trans. Neural Netw. Learning Syst. 2016, Volume 27 (0) 2016
    Journal article
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Johanna Carvajal, Conrad Sanderson, Chris McCool, Brian C. Lovell.
    Multi-Action Recognition via Stochastic Modelling of Optical Flow and Gradients.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Subset Feature Learning for Fine-Grained Category Classification.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Mehrtash Tafazzoli Harandi, Richard I. Hartley, Chunhua Shen, Brian C. Lovell, Conrad Sanderson.
    Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds.
    International Journal of Computer Vision 2015, Volume 114 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Content Specific Feature Learning for Fine-Grained Plant Classification.
    Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, September 8-11, 2015. 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Subset feature learning for fine-grained category classification.
    2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops, Boston, MA, USA, June 7-12, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Peter I. Corke.
    Modelling local deep convolutional neural network features to improve fine-grained image classification.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Chris McCool, Conrad Sanderson, Alex Bewley, Zetao Chen, Peter I. Corke.
    Fine-grained bird species recognition via hierarchical subset learning.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    Sareh Abolahrari Shirazi, Conrad Sanderson, Chris McCool, Mehrtash Tafazzoli Harandi.
    Bags of Affine Subspaces for Robust Object Tracking.
    2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, November 23-25, 2015 2015 (0) 2015
    Conference paper
    ZongYuan Ge, Alex Bewley, Chris McCool, Ben Upcroft, Peter I. Corke, Conrad Sanderson.
    Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Dirk Eddelbuettel, Conrad Sanderson.
    RcppArmadillo: Accelerating R with high-performance C++ linear algebra.
    Computational Statistics Data Analysis 2014, Volume 71 (0) 2014
    Journal article
    Azadeh Alavi, Arnold Wiliem, Kun Zhao, Brian C. Lovell, Conrad Sanderson.
    Random Projections on Manifolds of Symmetric Positive Definite Matrices for Image Classification.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Shaokang Chen, Arnold Wiliem, Conrad Sanderson, Brian C. Lovell.
    Matching Image Sets via Adaptive Multi Convex Hull.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Andres Sanin, Conrad Sanderson, Mehrtash Tafazzoli Harandi, Brian C. Lovell.
    K-Tangent Spaces on Riemannian Manifolds for Improved Pedestrian Detection.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Johanna Carvajal, Chris McCool, Conrad Sanderson.
    Summarisation of Short-Term and Long-Term Videos using Texture and Colour.
    CoRR 2014, Volume 0 (0) 2014
    Show item 1 to 25 of 123  

    Your query returned 123 matches in the database.