Antonio Robles-Kelly

Orcid: 0000-0002-2465-5971

According to our database1, Antonio Robles-Kelly authored at least 216 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DGD-cGAN: A dual generator for image dewatering and restoration.
Pattern Recognit., April, 2024

H-CapsNet: A capsule network for hierarchical image classification.
Pattern Recognit., March, 2024

Robust visual question answering via semantic cross modal augmentation.
Comput. Vis. Image Underst., January, 2024

2023
Graph classification via discriminative edge feature learning.
Pattern Recognit., November, 2023

Robust federated learning under statistical heterogeneity via Hessian spectral decomposition.
Pattern Recognit., September, 2023

Deterministic sampling in heterogeneous graph neural networks.
Pattern Recognit. Lett., August, 2023

Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning.
Neural Networks, August, 2023

Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.
Mach. Learn., February, 2023

PERCY: A post-hoc explanation-based score for logic rule dissemination consistency assessment in sentiment classification.
Knowl. Based Syst., 2023

Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model.
Neurocomputing, 2023

A Survey on Underwater Computer Vision.
ACM Comput. Surv., 2023

IterativePFN: True Iterative Point Cloud Filtering.
CoRR, 2023

On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks.
CoRR, 2023

Federated Learning Under Statistical Heterogeneity on Riemannian Manifolds.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Bio-Inspired Dual-Network Model to Tackle Statistical Heterogeneity in Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2023

Weighted Point Cloud Normal Estimation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

A Mask-Based Logic Rules Dissemination Method for Sentiment Classifiers.
Proceedings of the Advances in Information Retrieval, 2023

Contrastive Learning for Ship Classification Using Real and Complex SAR Imagery.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

A Bottom-Up Capsule Network for Hierarchical Image Classification.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Robust quantification of prediction uncertainty by inducing heterogeneity in deep ensembles.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

IterativePFN: True Iterative Point Cloud Filtering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Hessian-Based Federated Learning Approach to Tackle Statistical Heterogeneity.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

2022
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation.
CoRR, 2022

Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering.
CoRR, 2022

AI-based carcinoma detection and classification using histopathological images: A systematic review.
Comput. Biol. Medicine, 2022

T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Capsule Network for Hierarchical Multi-label Image Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Neural Network Compression by Joint Sparsity Promotion and Redundancy Reduction.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

A Generic Enhancer for Backdoor Attacks on Deep Neural Networks.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Deep Point Cloud Normal Estimation Via Triplet Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Deep Point Cloud Normal Estimation via Triplet Learning (Demonstration).
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

An Analysis of Logic Rule Dissemination in Sentiment Classifiers.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

<i>Marine-tree: </i> A Large-scale Marine Organisms Dataset for Hierarchical Image Classification.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Revisiting Spatio-Angular Trade-off in Light Field Cameras and Extended Applications in Super-Resolution.
IEEE Trans. Vis. Comput. Graph., 2021

Towards a deep learning-driven intrusion detection approach for Internet of Things.
Comput. Networks, 2021

RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Robust Neural Regression via Uncertainty Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Single-image Object Classification Based on Illuminette Construction from Shadow Imaging.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Full View Optical Flow Estimation Leveraged From Light Field Superpixel.
IEEE Trans. Computational Imaging, 2020

Toward a Deep Learning-Driven Intrusion Detection Approach for Internet of Things.
CoRR, 2020

Hierarchically Fair Federated Learning.
CoRR, 2020

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling.
CoRR, 2020

Machine Learning for Financial Risk Management: A Survey.
IEEE Access, 2020

Machine Learning: Quantum vs Classical.
IEEE Access, 2020

Super-resolved Chromatic Mapping of Snapshot Mosaic Image Sensors via a Texture Sensitive Residual Network.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Feature Extraction Functions for Neural Logic Rule Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Augmenting Graph Convolutional Neural Networks with Highpass Filters.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Bias-regularised Neural-Network Metamodelling of Insurance Portfolio Risk.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Patch-Based Human Segmentation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Derivative-Free Method for Quantum Perceptron Training in Multi-layered Neural Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Feature-Extracting Functions for Neural Logic Rule Learning.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Max-Variance Convolutional Neural Network Model Compression.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Crystal-Ball and Magic Wand Combined: Predicting Situations and Making Them Happen.
Proceedings of the Distributed Computer and Communication Networks, 2020

2019
Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images.
CoRR, 2019

Deep Learning-Based Intrusion Detection for IoT Networks.
Proceedings of the 24th IEEE Pacific Rim International Symposium on Dependable Computing, 2019

Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Learning to Minify Photometric Stereo.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A factor graph evidence combining approach to image defogging.
Pattern Recognit., 2018

Context Free Band Reduction Using a Convolutional Neural Network.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

A Frequency Domain Neural Network for Fast Image Super-resolution.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Convolutional Neural Network for Pixelwise Illuminant Recovery in Colour and Spectral Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018


Image Registration via Geometrically Constrained Total Variation Optical Flow.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Anti-occlusion Light-Field Optical Flow Estimation Using Light-Field Super-Pixels.
Proceedings of the Computer Vision - ACCV 2018 Workshops, 2018

2017
Estimating Reflectance Parameters, Light Direction, and Shape From a Single Multispectral Image.
IEEE Trans. Computational Imaging, 2017

A spectral clustering approach for online and streaming applications.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Stereo Super-Resolution via a Deep Convolutional Network.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Multiple Illuminant Color Estimation via Statistical Inference on Factor Graphs.
IEEE Trans. Image Process., 2016

Least-Squares Regression with Unitary Constraints for Network Behaviour Classification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Classification from a Riemannian graph embedding viewpoint.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Semi-supervised image labelling using barycentric graph embeddings.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A quadratic optimisation approach for shading and specularity recovery from a single image.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Spectral Dichromatic Parameter Recovery from Two Views via Total Variation Hyper-priors.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

Outdoor Shadow modelling and its Applications.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
Exposure time calculation for spectral cameras.
J. Electronic Imaging, 2015

Single Image Spectral Reconstruction for Multimedia Applications.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Factor graphs for pixelwise illuminant estimation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Radiometric calibration for HDR imaging.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Exposure Adjustment for Hyperspectral Cameras.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014
Segmentation and Estimation of Spatially Varying Illumination.
IEEE Trans. Image Process., 2014

Shadow modelling based upon Rayleigh scattering and Mie theory.
Pattern Recognit. Lett., 2014

Max-Correlation Embedding Computation.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

An unsupervised material learning method for imaging spectroscopy.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Factor Graphs for Image Processing.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Recovery of Spectral Sensitivity Functions from a Colour Chart Image under Unknown Spectrally Smooth Illumination.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Class-Driven Color Transformation for Semantic Labeling.
Proceedings of the Computer Vision - ACCV 2014, 2014

Color Photometric Stereo Using a Rainbow Light for Non-Lambertian Multicolored Surfaces.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy.
IEEE Trans. Image Process., 2013

Shape and Refractive Index from Single-View Spectro-Polarimetric Images.
Int. J. Comput. Vis., 2013

Imaging spectroscopy for scene analysis: challenges and opportunities.
IET Comput. Vis., 2013

An optimisation approach to the recovery of reflection parameters from a single hyperspectral image.
Comput. Vis. Image Underst., 2013

A spiking neural network for illuminant-invariant colour discrimination.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Automatic exposure control for multispectral cameras.
Proceedings of the IEEE International Conference on Image Processing, 2013

A method for estimating light direction, shape, and reflection parameters from a single image.
Proceedings of the IEEE International Conference on Image Processing, 2013

A relaxed factorial Markov random field for colour and depth estimation from a single foggy image.
Proceedings of the IEEE International Conference on Image Processing, 2013

Reconstructing Polarisation Components from Unpolarised Images.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

A Comparative Evaluation of Spectral Reflectance Representations for Spectrum Reconstruction, Interpolation and Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Imaging Spectroscopy for Scene Analysis.
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-1-4471-4652-0, 2013

2012
Geometric graph comparison from an alignment viewpoint.
Pattern Recognit., 2012

Colour Matching Function Learning.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A spectral reflectance representation for recognition and reproduction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Illuminant segmentation in non-uniformly lit scenes.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Shadow detection via Rayleigh scattering and Mie theory.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Discriminative Probabilistic Prototype Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

A Biologically Motivated Double-Opponency Approach to Illumination Invariance.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens., 2011

Discriminant Absorption-Feature Learning for Material Classification.
IEEE Trans. Geosci. Remote. Sens., 2011

MILIS: Multiple Instance Learning with Instance Selection.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Graph attribute embedding via Riemannian submersion learning.
Comput. Vis. Image Underst., 2011

Material-specific user colour profiles from imaging spectroscopy data.
Proceedings of the IEEE International Conference on Computer Vision, 2011

On the Use of the Chi-Squared Distance for the Structured Learning of Graph Embeddings.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

On the Recovery of Shape and Reflectance from a Single Multispectral Image.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Specularity Removal from Imaging Spectroscopy Data via Entropy Minimisation.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Learning a Gaussian basis for spectra representation aimed at reflectance classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Mixing Linear SVMs for Nonlinear Classification.
IEEE Trans. Neural Networks, 2010

A semi-supervised approach to space carving.
Pattern Recognit., 2010

A Solution of the Dichromatic Model for Multispectral Photometric Invariance.
Int. J. Comput. Vis., 2010

A Structured Learning Approach to Attributed Graph Embedding.
Proceedings of the Structural, 2010

A Probabilistic Approach to Spectral Unmixing.
Proceedings of the Structural, 2010

Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

Image Inpainting Based on Local Optimisation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Robust Shape from Polarisation and Shading.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Hyperspectral imaging for skin recognition and biometrics.
Proceedings of the International Conference on Image Processing, 2010

Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation.
Proceedings of the International Conference on Image Processing, 2010

Object of Interest Detection by Saliency Learning.
Proceedings of the Computer Vision, 2010

L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010

Shape and refractive index recovery from single-view polarisation images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Simultaneous photometric invariance and shape recovery.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Learning the Optimal Transformation of Salient Features for Image Classification.
Proceedings of the DICTA 2009, 2009

Automatic Detection of Defective Zebrafish Embryos via Shape Analysis.
Proceedings of the DICTA 2009, 2009

An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

An instance selection approach to Multiple instance Learning.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

A Graph-Based Feature Combination Approach to Object Tracking.
Proceedings of the Computer Vision, 2009

2008
Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance.
Proceedings of the Structural, 2008

On Mixtures of Linear SVMs for Nonlinear Classification.
Proceedings of the Structural, 2008

A semisupervised approach to space carving.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A fast hierarchical approach to image segmentation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Fast multiple instance learning via L1, 2 logistic regression.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Texture Descriptors via Stable Distributions.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Content-Based Image Retrieval via Subspace-Projected Salient Features.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

A quasi-random sampling approach to image retrieval.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A NURBS-based spectral reflectance descriptor with applications in computer vision and pattern recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Shape-From-Shading Using the Heat Equation.
IEEE Trans. Image Process., 2007

On Automatic Absorption Detection for Imaging Spectroscopy: A Comparative Study.
IEEE Trans. Geosci. Remote. Sens., 2007

A Riemannian approach to graph embedding.
Pattern Recognit., 2007

Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering.
Int. J. Comput. Vis., 2007

An Energy Minimisation Approach to Attributed Graph Regularisation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Comparative Colorimetric Simulation and Evaluation of Digital Cameras Using Spectroscopy Data.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

A Linear Programming Approach to Surface Fitting.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Convex Optimisation for Multiclass Image Labeling.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Robust Surface Reconstruction from Gradient Field Using the L1 Norm.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2007

Kernel-based Tracking from a Probabilistic Viewpoint.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Learning Object Material Categories via Pairwise Discriminant Analysis.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Efficient Graph Cuts for Multiclass Interactive Image Segmentation.
Proceedings of the Computer Vision, 2007

2006
Point Pattern Matching Via Spectral Geometry.
Proceedings of the Structural, 2006

Boosted Band Ratio Feature Selection for Hyperspectral Image Classification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

A Tuned Eigenspace Technique for Articulated Motion Recognition.
Proceedings of the Computer Vision, 2006

Transitivity-based Removal of Correspondence Outliers for Motion Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

A Wavelet-Based Approach to Image Feature Stability Assessment.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Invariant Object Material Identification via Discriminant Learning on Absorption Features.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video.
Proceedings of the Advanced Video and Signal Based Surveillance, 2006

2005
A graph-spectral method for surface height recovery.
Pattern Recognit., 2005

Graph Edit Distance from Spectral Seriation.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Estimating the surface radiance function from single images.
Graph. Model., 2005

Regular Polygon Detection.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Thermodynamics Approach to Graph Similarity.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

Segmentation via Graph-Spectral Methods and Riemannian Geometry.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

2004
A graph-spectral approach to shape-from-shading.
IEEE Trans. Image Process., 2004

A probabilistic spectral framework for grouping and segmentation.
Pattern Recognit., 2004

String Edit Distance, Random Walks And Graph Matching.
Int. J. Pattern Recognit. Artif. Intell., 2004

Steady State Random Walks for Path Estimation.
Proceedings of the Structural, 2004

Skin Reflectance Modelling for Face Recognition.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Vector Field Smoothing Via Heat Flow.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Reflectance correction for perspiring faces.
Proceedings of the 2004 International Conference on Image Processing, 2004

Surface height recovery from surface normals using manifold embedding.
Proceedings of the 2004 International Conference on Image Processing, 2004

Correction of underexposed images using scene radiance estimation.
Proceedings of the 2004 International Conference on Image Processing, 2004

Spanning Tree Recovery via Random Walks in a Riemannian Manifold.
Proceedings of the Progress in Pattern Recognition, 2004

Radiance Function Estimation for Object Classification.
Proceedings of the Progress in Pattern Recognition, 2004

Single image facial view synthesis using SFS.
Proceedings of the British Machine Vision Conference, 2004

Underexposed Image Correction Via Approximation of the Scene Radiance Function.
Proceedings of the British Machine Vision Conference, 2004

Facial View Synthesis from a Single Image using Shape from Shading.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

Surface Height Recovery Using Heat Flow and Manifold Embedding.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

Testing Reflectance Models Against Radiance Data.
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004

2003
Graph-spectral methods for computer vision.
PhD thesis, 2003

Lambertian Correction for Rough and Specular Surfaces.
Proceedings of the 1st International Conference on Vision, Video, and Graphics, 2003

An Eigenvector Method for Surface Recovery.
Proceedings of the 1st International Conference on Vision, Video, and Graphics, 2003

Surface acquisition from single gray-scale images.
Proceedings of the 2003 International Conference on Image Processing, 2003

An eigenvector method for shape-from-shading.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Edit Distance From Graph Spectra.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Graph Matching Using Spectral Seriation and String Edit Distance.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

Graph Matching Using Spectral Seriation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

2002
An expectation-maximisation framework for segmentation and grouping.
Image Vis. Comput., 2002

Detecting multiple texture planes using local spectral distortion.
Image Vis. Comput., 2002

A Fast Leading Eigenvector Approximation for Segmentation and Grouping.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

A Graph-Spectral Approach to Correspondence Matching.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

A Graph-Spectral Approach to Surface Segmentatio.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Pairwise Clustering with Matrix Factorisation and the EM Algorithm.
Proceedings of the Computer Vision, 2002

A Mumford-Shah Diffusion Process for Shape-from-Shading.
Proceedings of the British Machine Vision Conference 2002, 2002

Model Acquisition Using Shape-from-Shading.
Proceedings of the Articulated Motion and Deformable Objects Second International Workshop, 2002

2001
An Expectation-Maximisation Framework for Perceptual Grouping.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

Hierarchical iterative eigendecomposition for motion segmentation.
Proceedings of the 2001 International Conference on Image Processing, 2001

Learning shape categories by clustering shock trees.
Proceedings of the 2001 International Conference on Image Processing, 2001

Maximum Likelihood Motion Segmentation Using Eigendecomposition.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

A Maximum Likelihood Framework for Iterative Eigendecomposition.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

A Maximum Likelihood Framework for Grouping and Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

A Graph-Spectral Method for Surface Height Recovery from Needle-maps.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

A Probabilistic Framework for Graph Clustering.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Discovering Shape Categories by Clustering Shock Trees.
Proceedings of the Computer Analysis of Images and Patterns, 9th International Conference, 2001

Graph Matching using Adjacency Matrix Markov Chains.
Proceedings of the British Machine Vision Conference 2001, 2001

An EM-like Algorithm for Motion Segmentation via Eigendecomposition.
Proceedings of the British Machine Vision Conference 2001, 2001

2000
Grouping Line-segments using Eigenclustering.
Proceedings of the British Machine Vision Conference 2000, 2000


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