A. Robles-Kelly, Least-squares Regression with Unitary Constraints for Network Behaviour Classification, In Proceedings of the 16th Int Workshop on Structural and Syntactical Pattern Recognition (S+SSPR 2016), 2016.
^{©Springer-Verlag 2016}
F. Bergamasco, A. Torsello and A. Robles-Kelly, Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors, In Asian Conference on Computer Vision, Workshop on Hyperspectral Image and Signal Processing, 2016.
^{©Springer-Verlag 2016}
A. Robles-Kelly, L. Gu and R. Wei, Classification from a Riemannian Graph Embedding Viewpoint, In International Joint Conference on Neural Networks, 2016.
^{©IEEE 2016}
A. Robles-Kelly and R. Wei, Semi-supervised Image Labelling Using Barycentric Graph Embeddings, In Int. Conference on Pattern Recognition, 2016.
L. Gu and A. Robles-Kelly, A Quadratic Optimisation Approach for Shading and Specularity Recovery from a Single Image”, In International Conference on Image Processing, 2016.
A. Robles-Kelly, Single Image Spectral Reconstruction for Multimedia Applications, In ACM Multimedia Conference, 2015.
^{©ACM 2015}
L. Mutimbu and A. Robles-Kelly, Factor Graphs for Pixelwise Illuminant Estimation, In International Joint Conference on Neural Networks, 2015.
A. Sohaib and A. Robles-Kelly, Exposure Adjustment for Hyperspectral Cameras, In Digital Image Computing Techniques and Applications, 2015.
A. Sohaib and A. Robles-Kelly, Radiometric Calibration for HDR Imaging, In Proceedings of the International Conference on Image Processing, 2015.
A. Shahriari, J. Alvarez and A. Robles-Kelly, Class-driven Color Transformation for Semantic Labeling, In Proceedings of the Asian Conference on Computer Vision, 2014.
S. Rahman, A. Lam, I. Sato and A. Robles-Kelly, Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces, In Proceedings of the Asian Conference on Computer Vision, 2014.
J. Jordan, E. Angelopoulou and A. Robles-Kelly, An Unsupervised Material Learning Method for Imaging Spectroscopy, In Int. Joint Conference on Neural Networks, 2014.
A. Robles-Kelly, Max-correlation Embedding Computation, In Proceedings of the 15th Int Workshop on Structural and Syntactical Pattern Recognition (S+SSPR 2014), 2014.
L. Mutimbu and A. Robles-Kelly, Factor Graphs for Image Processing, In Proceedings of the Int Conference on Pattern Recognition, 2014.
C. Huynh and A. Robles-Kelly, Recovery Of Camera Spectral Sensitivity From A Colour Chart Image Captured Under Unknown Illumination, In Proceedings of the Int Conference on Pattern Recognition, 2014.
S. Ratnasingam and A. Robles-Kelly, A Spiking Neural Network for Illuminant-invariant Colour Discrimination, In International Joint Conference on Neural Networks, 2013.
^{©IEEE 2013}
C. Huynh and A. Robles-Kelly, A Comparative Evaluation of Spectral Reflectance Representations for Spectrum Reconstruction, Interpolation and Classification, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perception Beyond the Visible Spectrum, 2013.
L. Mutimbu and A. Robles-Kelly, A Relaxed Factorial Markov Random Field for Colour and Depth Estimation from a Single Foggy Image, In Proceedings of the International Conference on Image Processing, To Appear, 2013.
A. Sohaib, N. Habili and A. Robles-Kelly, Automatic Exposure Control for Multispectral Cameras, In Proceedings of the International Conference on Image Processing, To Appear, 2013.
S. Rahman and A. Robles-Kelly, A Method for Estimating Light Direction Shpe and Reflection Parameters from a Single Image, In Proceedings of the International Conference on Image Processing, To Appear, 2013.
E. Bonilla and A. Robles-Kelly, Discriminative Probabilistic Prototype Learning, In Proceedings of the 29th International Conference on Machine learning, 2012.
S. Ratnasingam and A. Robles-Kelly, Biologically Motivated Double-Opponency Approach to Illumination Invariance, In Asian Conf. on Computer Vision, 2012.
L. Romero-Ortega and A. Robles-Kelly, Colour Matching Function Learning, In Proceedings of the 14th Int Workshop on Structural and Syntactical Pattern Recognition (S+SSPR 2012), 2012.
S. Ratnasingam and A. Robles-Kelly, A Spectral Reflectance Representation for Recognition and Reproduction, In Proceedings of the Int Conference on Pattern Recognition, 2012.
C. Huynh and A. Robles-Kelly, Illuminant Segmentation in Non-uniformly Lit Scenes, In Proceedings of the Int Conference on Pattern Recognition, 2012.
L. Gu and A. Robles-Kelly, Shadow Detection via Rayleigh Scattering and Mie Theory, In Proceedings of the Int Conference on Pattern Recognition ( Awarded a Best Student Paper Prize) , 2012.
B. Masschelein, A. Robles-Kelly, C. Blanch, K. Tack, B. Simpson-Young and A. Lambrechts, Towards a Colony Counting System Using Hyperspectral Imaging, In SPIE Photonics West, 2012.
L. Gu, C. P. Huynh, A. Robles-Kelly and J. Zhou, Material-Specific User Colour Profiles from Imaging Spectroscopy Data, In Proceedings of the IEEE International Conference on Computer Vision, 2011.
A. Robles-Kelly, Learning a Gaussian Basis for Spectra Representation Aimed at Reflectance Classification, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum, pages 88-95, 2011.
P. Khuwuthyakorn, A. Robles-Kelly and J. Zhou, Object of Interest Detection by Saliency Learning, In European Conference on Computer Vision, pages 636-649, 2010.
^{©Springer-Verlag 2010}
C. Huynh, A. Robles-Kelly and E. Hancock Shape and Refractive Index Recovery from Single-View Polarisation Images, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010.
^{©IEEE 2010}
S. Jia, Y. Qian, J. Zhou and A. Robles-Kelly, L_1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing, In Digital Image Computing Techniques and Applications, 2010.
H. Zhao, J. Zhou and A. Robles-Kelly, A Structured Learning Approach to Attributed Graph Embedding, In Proceedings of the 13th Int Workshop on Structural and Syntactical Pattern Recognition (S+SSPR 2010), pages 70-79, 2010.
C. P. Huynh and A. Robles-Kelly, A Probabilistic Approach to Spectral Unmixing, In Proceedings of the 13th Int Workshop on Structural and Syntactical Pattern Recognition (S+SSPR 2010), pages 344-353, 2010.
J. Zhou and A. Robles-Kelly, Image Inpainting Based on Local Optimisation, In Proceedings of the Int Conference on Pattern Recognition, 2010.
C. P. Huynh, A. Robles-Kelly and E. R. Hancock, Robust Shape from Polarisation and Shading, In Proceedings of the Int Conference on Pattern Recognition, 2010.
C. P. Huynh and A. Robles-Kelly, Hyperspectral Imaging for Skin Recognition and Biometrics, In Proceedings of the International Conference on Image Processing, 2010.
M. Hasan, A. Robles-Kelly, J. Zhou, X. Jia and M. Pickering, Regisration of Hyperspectral and Trichromatic Images via Cross Cumulative Residual Entropy Maximisation, In Proceedings of the International Conference on Image Processing, 2010.
C. P. Huynh and A. Robles-Kelly, Simultaneous Photometric Invariance And Shape Recovery, In Proceedings of the IEEE International Conference on Computer Vision, 2009.
^{©IEEE 2009}
Q. A. Nguyen, A. Robles-Kelly and J. Zhou, A Graph-based Feature Combination Approach to Object Tracking, In Asian Conf. on Computer Vision, 2009.
H. Zhao, J. Zhou, A. Robles-Kelly, J. Lu and J. Y. Yang, Automatic Detection of Defective Zebra fish Embryos via Shape Analysis, In Digital Image Computing Techniques and Applications, 2009.
J. Zhou and A. Robles-Kelly, Learning the Optimal Transformation of Salient Features for Image Classification, In Digital Image Computing Techniques and Applications, 2009.
Z. Fu and A. Robles-Kelly, An Instance Selection Approach to Multiple Instance Learning, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009.
^{©IEEE 2009}
P. Khuwuthyakorn, A. Robles-Kelly and J. Zhou, An affine Invariant Hyperspectral Texture Descriptor Based Upon Heavy-tailed Distributions and Fourier Analysis, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum ( Awarded the Best Paper Prize), 2009.
^{©IEEE 2009}
J. Zhou and A. Robles-Kelly, A Quasi-random Sampling Approach to Image Retrieval, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008.
C. P. Huynh and A. Robles-Kelly, A NURBS-Based Spectral Reflectance Descriptor with Applications in Computer Vision and Pattern Recognition, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008.
^{©IEEE 2008}
Z. Fu and A. Robles-Kelly. A Fast Hierarchical Approach to Image Segmentation, In Proceedings of the International Conference on Pattern Recognition, 2008.
S. Prakash and A. Robles-Kelly. A Semisupervised Approach to Space Carving, In Proceedings of the International Conference on Pattern Recognition, 2008.
Z. Fu and A. Robles-Kelly. Fast Multiple Instance Learning Via L_{1, 2} Logistic Regression, In Proceedings of the International Conference on Pattern Recognition, 2008.
C. P. Huynh and A. Robles-Kelly. Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance, In Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR) and Statistical Techniques in Pattern Recognition (SPR), 2008.
Z. Fu and A. Robles-Kelly. On Mixtures of Linear SVMs for Nonlinear Classification, In Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition (SSPR) and Statistical Techniques in Pattern Recognition (SPR), 2008.
Q. A. Nguyen, A. Robles-Kelly and C. Shen, Kernel-based Tracking from a Probabilistic Viewpoint, In IEEE Conference on Computer Vision and Pattern Recognition, 2007.
Z. Fu and A. Robles-Kelly, Learning Object Material Categories via Pairwise Discriminant Analysis, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum, 2007.
^{©IEEE 2007}
Z. Fu, A. Robles-Kelly, An Energy Minimisation Approach to Attributed Graph Regularisation, In Energy Minimisation Methods in Computer Vision, pages 71-86, 2007.
F. F. Lu, Z. Fu and A. Robles-Kelly, Efficient Graph Cuts for Multiclass Interactive Image Segmentation, In Asian Conf. on Computer Vision, pages 134-144, 2007.
C. P. Huynh and A. Robles-Kelly, Comparative Colorimetric Simulation and Evaluation of Digital Cameras Using Spectroscopy Data, In Digital Image Computing Techniques and Applications, pages 309 - 316, 2007.
Z. Fu and A. Robles-Kelly, Convex Optimisation for Multiclass Image Labeling, In Digital Image Computing Techniques and Applications, pages 438 - 445, 2007.
Q. A. Nguyen, A. Robles-Kelly and C. Shen, Enhanced Kernel-based Tracking for Monochromatic and Thermographic Video, In IEEE International Conference on Advanced Video and Signal Based Surveillance, 2006.
Z. Fu, A. Robles-Kelly, R. Tan and T. Caelli, Invariant Object Material Identification via Discriminant Learning on Absorption Features, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Object Tracking and Classification Beyond the Visible Spectrum, 2006.
^{©IEEE 2006}
Z. Fu, T. Caelli, N. Liu and A. Robles-Kelly, Boosted Band Ratio Feature Selection for Hyperspectral Image Classification, In Proceedings of the International Conference on Pattern Recognition, pages I:1059-1062, 2006.
^{©IEEE 2006}
A. Robles-Kelly and E. R. Hancock, Point Pattern Matching Via Spectral Geometry, In Structural and Syntactic Pattern Recognition, Lecture Notes in Computer Science, pages 459-467, 2006.
^{©Springer-Verlag}
M. M. Rahman and A. Robles-Kelly, A Tuned Eigenspace Technique for Articulated Motion Recognition, In European Conference on Computer Vision, Lecture Notes in Computer Science, Vol. 3952, pages I:174-185, 2006.
^{©Springer-Verlag}
R. Goecke and A. Robles-Kelly, A Wavelet-based Approach to Image Feature Stability Assessment, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Beyond Patches, 2006.
A. Robles-Kelly and Y. Moses, Transitivity-based Removal of Correspondence Outliers for Motion Analysis, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006.
^{©IEEE 2006}
N. Barnes, G. Loy, D. Shaw and A. Robles-Kelly,Regular Polygon Detection, In Proceedings of the IEEE International Conference on Computer Vision, Vol. I, pages 778-785, 2005.
A. Robles-Kelly, A Thermodynamics Approach to Graph Similarity, In Digital Image Computing: Techniques and Applications, 2005.
A. Robles-Kelly, Segmentation via Graph-spectral Methods and Riemannian Geometry, In Proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005), Lecture Notes on Computer Science, pages 661-668, 2005.
^{©Springer-Verlag}
A. Robles-Kelly and E. R. Hancock, Steady State Random Walks for Path Estimation. In Syntactical and Structural Pattern Recognition, pages 143-152, 2004.
^{©Springer-Verlag}
A. Robles-Kelly and E. R. Hancock, Spanning Tree Recovery Via Random Walks in a Riemannian Manifold. In Advances in Pattern Recognition, Image Analysis and Applications, Lecture Notes in Computer Science, pages 303-311, 2004.
^{©Springer-Verlag}
A. Robles-Kelly and E. R. Hancock, Surface Height Recovery From Surface Normals Using Manifold Embedding. In Proceedings of the International Conference on Image Processing, Vol III, pages 2107-2110, 2004.
A. Robles-Kelly and E. R. Hancock, Correction of Underexposed Images Using Scene Radiance Estimation. In Proceedings of the International Conference on Image Processing, Vol. III, pages 1827-1830, 2004.
William Smith, A. Robles-Kelly and E. R. Hancock, Reflectance Correction for Perspiring Faces. In Proceedings of the International Conference on Image Processing, Vol. II, pages 1389-1392, 2004.
William Smith, A. Robles-Kelly and E. R. Hancock, Skin Reflectance Modelling for Face Recognition. In Proceedings of the International Conference on Pattern Recognition, pages 210-213, 2004.
A. Robles-Kelly and E. R. Hancock, Vector Field Smoothing Via Heat Flow. In Proceedings of the International Conference on Pattern Recognition, pages 94-97, 2004.
^{©2004 IEEE}
A. Robles-Kelly and E. R. Hancock, Lambertian Correction for Rough and Specular Surfaces. In Proceeding of Video, Vision and Graphics, pages 213-220, 2003.
A. Robles-Kelly and E. R. Hancock, A Graph-spectral Method for Surface Height Recovery. In Proceedings of Mathematics of Surfaces X, pages 163-181, 2003.
A. Robles-Kelly, A. Bors and E. R. Hancock, Surface Acquisition from Single Gray-scale Images. In Proceedings of the IEEE International Conference on Image Processing, pages III:721-724, 2003.
A. Robles-Kelly and E. R. Hancock,  Edit Distance From Graph Spectra. In Proceedings of the IEEE International Conference on Computer Vision, pages 234-241. 2003.
A. Robles-Kelly and E. R. Hancock, Graph Matching Using Spectral Seriation. In Energy Minimisation Methods in Computer Vision and Pattern Recognition, pages 517-532. 2003.
A. Robles-Kelly and, E. R. Hancock, A Graph Spectral Approach to Shape-from-Shading. In Proceedings of the IEEE International Conference on Image Processing, pages II:569-572. 2002.
A. Robles-Kelly and E. R. Hancock, A Mumford-Shah Diffusion Process for Shape-from-Shading. In Proceedings of the British Machine Vision Conference, pages 708-717. 2002.
A. Robles-Kelly and E. R. Hancock, A Graph-Spectral Approach to Surface Segmentation. In Proceedings of the International Conference on Pattern Recognition, pages III:509-512. 2002.
A. Robles-Kelly and E. R. Hancock,  A Graph-spectral Approach to Correspondence Matching. In  Proceedings of the International Conference on Pattern Recognition, pages IV:176-179. 2002.
A. Robles-Kelly and E. R. Hancock, Pairwise Clustering with Matrix Factorisation and the EM Algorithm. In Proceedings of European Conference on Computer Vision, Lecture Notes in Computer Science Vol. 2351, pages 63-67. 2002.
A. Robles-Kelly, S. Sarkar and E. R. Hancock, A Fast Leading Eigenvector Approximation for Segmentation and Grouping. In Proceedings of the International Conference on Pattern Recognition, pages I:639-642. 2002.
^{©2002 IEEE}
A. Robles-Kelly and E. R. Hancock, A Graph-Spectral Method for Surface Height Recovery from Needle-maps. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages I:141-148. 2001.
B. Luo, A. Robles-Kelly, A. Torsello, R. C. Wilson and E. R. Hancock, A Probabilistic Framework for Graph Clustering. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages I:912-919. 2001.
B. Luo, A. Robles-Kelly, A. Torsello, R. C. Wilson and E. R. Hancock, Learning Shape Categories by Clustering Shock Trees. In Proceedings of the IEEE International Conference on Image Processing, pages 672-675. 2001.
A. Robles-Kelly and E. R. Hancock, Graph Matching using Adjacency Matrix Markov Chains. In Proceedings of the British Machine Vision Conference, pages 384-390. 2001.
A. Robles-Kelly and E. R. Hancock, A Maximum Likelihood Framework for Iterative Eigendecomposition. In Proceedings of the IEEE International Conference on Computer Vision, pages 654-661. 2001.
A. Robles-Kelly, A. G. Bors and E. R. Hancock, Hierarchical Iterative Eigendecomposition for Motion Segmentation. In Proceedings of the IEEE International Conference on Image Processing, pages 363-366. 2001.
A. Robles-Kelly and E. R. Hancock, A Maximum Likelihood Framework for Grouping and Segmentation. In Energy Minimization Methods in Computer Vision and Pattern Recognition, Lecture Notes on Computer Science Vol. 2134, pages 251-266. 2001.
A. Robles-Kelly and E. R. Hancock, Maximum Likelihood Motion Segmentation using Eigendecomposition. In Proceedings of the 11th International Conference on Image Analysis and Processing, pages 63-68. 2001.
A. Robles-Kelly and E.R. Hancock, An EM-like Algorithm for Motion Segmentation via Eigendecomposition. In Proceedings of the British Machine Vision Conference, pages 123-132. 2001.
A. Robles-Kelly and E.R. Hancock,Grouping Line-Segments Using Eigenclustering. In Proceedings of the British Machine Vision Conference, pages 123-132. 2000.