Nick G. Kingsbury

100 papers A 1B 16C 7Misc 11Journal 28Unranked 37
YearRankTypeTitle / Venue / Authors
2019 J jnl
A Learnable ScatterNet: Locally Invariant Convolutional Layers.
CoRR
Fergal Cotter, Nick G. Kingsbury
2019 B conf
A Learnable Scatternet: Locally Invariant Convolutional Layers.
ICIP
Fergal Cotter, Nick G. Kingsbury
2018 J jnl
Deep Learning in the Wavelet Domain.
CoRR
Fergal Cotter, Nick G. Kingsbury
2018 J jnl
Generative ScatterNet Hybrid Deep Learning (G-SHDL) Network with Structural Priors for Semantic Image Segmentation.
CoRR
Amarjot Singh, Nick G. Kingsbury
2018 Misc conf
Generative Scatternet Hybrid Deep Learning (G-Shdl) Network with Structural Priors for Semantic Image Segmentation.
ICASSP
Amarjot Singh, Nick G. Kingsbury
2018 J jnl
The locally stationary dual-tree complex wavelet model.
Stat. Comput.
James D. B. Nelson, Alexander J. Gibberd, Corina Nafornita, Nick G. Kingsbury
2017 J jnl
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification.
CoRR
Amarjot Singh, Nick G. Kingsbury
2017 Misc conf
Dual-Tree wavelet scattering network with parametric log transformation for object classification.
ICASSP
Amarjot Singh, Nick G. Kingsbury
2017 — conf
Efficient Convolutional Network Learning Using Parametric Log Based Dual-Tree Wavelet ScatterNet.
ICCV Workshops
Amarjot Singh, Nick G. Kingsbury
2017 J jnl
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet.
CoRR
Amarjot Singh, Nick G. Kingsbury
2017 J jnl
Multi-Resolution Dual-Tree Wavelet Scattering Network for Signal Classification.
CoRR
Amarjot Singh, Nick G. Kingsbury
2017 J jnl
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification.
CoRR
Amarjot Singh, Nick G. Kingsbury
2017 — conf
Scatternet hybrid deep learning (SHDL) network for object classification.
MLSP
Amarjot Singh, Nick G. Kingsbury
2017 J jnl
Visualizing and Improving Scattering Networks.
CoRR
Fergal Cotter, Nick G. Kingsbury
2017 — conf
Visualizing and improving scattering networks.
MLSP
Fergal Cotter, Nick G. Kingsbury
2016 B conf
Color filters: When "optimal" is not optimal.
ICIP
H. Joel Trussell, Ali Ozer Ercan, Nick G. Kingsbury
2016 — conf
Markov-tree Bayesian group-sparse modeling with wavelets.
SSP
Ganchi Zhang, Nick G. Kingsbury
2015 J jnl
Variational Bayesian image restoration with group-sparse modeling of wavelet coefficients.
Digit. Signal Process.
Ganchi Zhang, Nick G. Kingsbury
2014 B conf
Image deconvolution using tree-structured Bayesian group sparse modeling.
ICIP
Ganchi Zhang, Timothy D. Roberts, Nick G. Kingsbury
2014 J jnl
Is There a Preferred Classifier for Operational Thematic Mapping?
IEEE Trans. Geosci. Remote. Sens.
John A. Richards, Nick G. Kingsbury
2013 — conf
Fast L0-based image deconvolution with variational Bayesian inference and majorization-minimization.
GlobalSIP
Ganchi Zhang, Nick G. Kingsbury
2013 J jnl
Improved Bounds for Subband-Adaptive Iterative Shrinkage/Thresholding Algorithms.
IEEE Trans. Image Process.
Yingsong Zhang, Nick G. Kingsbury
2013 B conf
Sparse recovery of complex phase-encoded velocity images using iterative thresholding.
ICIP
Timothy D. Roberts, Nick G. Kingsbury, Daniel J. Holland
2012 J jnl
Efficient Registration of Nonrigid 3-D Bodies.
IEEE Trans. Image Process.
Huizhong Chen, Nick G. Kingsbury
2012 J jnl
Fractal dimension, wavelet shrinkage and anomaly detection for mine hunting.
IET Signal Process.
James D. B. Nelson, Nick G. Kingsbury
2012 B conf
Mitigating the effects of atmospheric distortion using DT-CWT fusion.
ICIP
Nantheera Anantrasirichai, Alin Achim, David R. Bull, Nick G. Kingsbury
2012 J jnl
Robust Pairwise Matching of Interest Points With Complex Wavelets.
IEEE Trans. Image Process.
Ee Sin Ng, Nick G. Kingsbury
2011 B conf
Biologically-inspired object recognition system with features from complex wavelets.
ICIP
Tao Hong, Nick G. Kingsbury, Michael D. Furman
2011 J jnl
Convex Approaches to Model Wavelet Sparsity Patterns
CoRR
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011 B conf
Convex approaches to model wavelet sparsity patterns.
ICIP
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright, Nick G. Kingsbury
2011 J jnl
Enhanced Shift and Scale Tolerance for Rotation Invariant Polar Matching With Dual-Tree Wavelets.
IEEE Trans. Image Process.
James D. B. Nelson, Nick G. Kingsbury
2010 B conf
Dual-tree wavelets for estimation of locally varying and anisotropic fractal dimension.
ICIP
James D. B. Nelson, Nick G. Kingsbury
2010 B conf
Matching of interest point groups with pairwise spatial constraints.
ICIP
Ee Sin Ng, Nick G. Kingsbury
2010 A conf
Multiscale Keypoint Analysis based on Complex Wavelets.
BMVC
Pashmina Bendale, Bill Triggs, Nick G. Kingsbury
2010 B conf
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization.
ICIP
Yingsong Zhang, Nick G. Kingsbury
2009 Misc conf
Image deconvolution using a Gaussian Scale Mixtures model to approximate the wavelet sparseness constraint.
ICASSP
Yingsong Zhang, Nick G. Kingsbury
2009 J jnl
Video Tracking Using Dual-Tree Wavelet Polar Matching and Rao-Blackwellised Particle Filter.
EURASIP J. Adv. Signal Process.
Sze Kim Pang, James D. B. Nelson, Simon J. Godsill, Nick G. Kingsbury
2008 J jnl
Image Denoising Using Derotated Complex Wavelet Coefficients.
IEEE Trans. Image Process.
Mark A. Miller, Nick G. Kingsbury
2008 J jnl
Image Modeling Using Interscale Phase Properties of Complex Wavelet Coefficients.
IEEE Trans. Image Process.
Mark A. Miller, Nick G. Kingsbury
2008 C conf
Tracking ground based targets in aerial video with dual-tree wavelet polar matching and particle filtering.
FUSION
James D. B. Nelson, Sze Kim Pang, Nick G. Kingsbury, Simon J. Godsill
2007 — conf
Phase Invariant Keypoint Detection.
DSP
Anil Anthony Bharath, Nick G. Kingsbury
2006 B conf
Multiscale Keypoint Detection using the Dual-Tree Complex Wavelet Transform.
ICIP
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
2006 — conf
Rotation-invariant local feature matching with complex wavelets.
EUSIPCO
Nick G. Kingsbury
2006 — conf
Rotation-invariant object recognition using edge profile clusters.
EUSIPCO
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
2006 — conf
Statistical Image Modelling Using Interscale Phase Relationships of Complex Wavelet Coefficients.
ICASSP (2)
Mark A. Miller, Nick G. Kingsbury
2005 — conf
Coarse-level object recognition using interlevel products of complex wavelets.
ICIP (1)
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
2005 — conf
Determining Multiscale Image Feature Angles from Complex Wavelet Phases.
ICIAR
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
2005 — conf
Seismic Imaging Using Complex Wavelets.
ICASSP (2)
Mark A. Miller, Nick G. Kingsbury, Richard W. Hobbs
2005 — conf
Seismic image reconstruction using complex wavelets.
Computational Imaging
Mark A. Miller, Nick G. Kingsbury, Richard W. Hobbs
2005 — conf
Semantic discriminant mapping for classification and browsing of remote sensing textures and objects.
ICIP (2)
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
2005 J jnl
The dual-tree complex wavelet transform.
IEEE Signal Process. Mag.
Ivan W. Selesnick, Richard G. Baraniuk, Nick G. Kingsbury
2004 — conf
DT-MRI Data Visualisation using the Dual Tree Complex Wavelet Transform.
ISBI
Nick G. Kingsbury, Argyris Zymnis, Alonso Pena
2004 C conf
Inlier modeling for multimedia data analysis.
MMSP
Rozenn Dahyot, Niall Rea, Anil C. Kokaram, Nick G. Kingsbury
2003 — conf
Design of Q-shift complex wavelets for image processing using frequency domain energy minimization.
ICIP (1)
Nick G. Kingsbury
2003 C conf
Iterative image coding with overcomplete complex wavelet transforms.
VCIP
Nick G. Kingsbury, Tanya H. Reeves
2003 — conf
Redundant representation with complex wavelets: how to achieve sparsity.
ICIP (1)
Nick G. Kingsbury, Tanya H. Reeves
2003 — conf
Spread transform watermarking for video sources.
ICIP (2)
John W. Earl, Nick G. Kingsbury
2002 — conf
Overcomplete image coding using iterative projection-based noise shaping.
ICIP (3)
Nick G. Kingsbury, Tanya H. Reeves
2002 — conf
Unsupervised image segmentation via Markov trees and complex wavelets.
ICIP (3)
Cián W. Shaffrey, Ian Jermyn, Nick G. Kingsbury
2001 — conf
Bayesian image deconvolution and denoising using complex wavelets.
ICIP (2)
Peter De Rivaz, Nick G. Kingsbury
2001 — conf
Image deconvolution using hidden Markov tree modeling of complex wavelet packets.
ICIP (1)
André Jalobeanu, Josiane Zerubia, Nick G. Kingsbury
2001 — conf
Motion-estimation-based registration of geometrically distorted images for watermark recovery.
Security and Watermarking of Multimedia Contents
Patrick Loo, Nick G. Kingsbury
2000 B conf
A Dual-Tree Complex Wavelet Transform with Improved Orthogonality and Symmetry Properties.
ICIP
Nick G. Kingsbury
2000 B conf
Digital Watermarking Using Complex Wavelets.
ICIP
Patrick Loo, Nick G. Kingsbury
2000 B conf
Fast Segmentation Using Level Set Curves of Complex Wavelet Surfaces.
ICIP
Peter De Rivaz, Nick G. Kingsbury
2000 Misc conf
Hidden Markov tree modeling of complex wavelet transforms.
ICASSP
Hyeokho Choi, Justin K. Romberg, Richard G. Baraniuk, Nick G. Kingsbury
2000 B conf
Image Texture Description Using Complex Wavelet Transform.
ICIP
Serkan Hatipoglu, Sanjit K. Mitra, Nick G. Kingsbury
2000 B conf
Multiscale Classification Using Complex Wavelets and Hidden Markov Tree Models.
ICIP
Justin K. Romberg, Hyeokho Choi, Richard G. Baraniuk, Nick G. Kingsbury
2000 Misc conf
Prediction of coefficients from coarse to fine scales in the complex wavelet transform.
ICASSP
Tanya H. Reeves, Nick G. Kingsbury
2000 — conf
Watermarking using complex wavelets with resistance to geometric distortion.
EUSIPCO
Patrick Loo, Nick G. Kingsbury
1999 — conf
Complex Wavelet Features for Fast Texture Image Retrieval.
ICIP (1)
Peter De Rivaz, Nick G. Kingsbury
1999 Misc conf
Shift invariant properties of the dual-tree complex wavelet transform.
ICASSP
Nick G. Kingsbury
1999 C conf
The error resilient entropy code applied to zerotree coded image data.
MMSP
Steve Whitehouse, Nick G. Kingsbury
1998 J jnl
Bandwidth efficient transmission of MPEG-II video over noisy mobile links.
Signal Process. Image Commun.
Robert Swann, Nick G. Kingsbury
1998 C conf
Enhancements to the error resilient entropy code.
MMSP
Steve Whitehouse, Nick G. Kingsbury
1998 — conf
Perceptual distortion measure for edgelike artifacts in image sequences.
Human Vision and Electronic Imaging
Edmund M. Yeh, Anil C. Kokaram, Nick G. Kingsbury
1998 — conf
Psychovisual measurement and distortion metrics for image sequences.
EUSIPCO
Edmund M. Yeh, Anil C. Kokaram, Nick G. Kingsbury
1998 — conf
The dual-tree complex wavelet transform: A new efficient tool for image restoration and enhancement.
EUSIPCO
Nick G. Kingsbury
1997 — conf
A gradient based fast search algorithm for warping motion compensation schemes.
ICIP (3)
David Benedict Bradshaw, Nick G. Kingsbury, Anil C. Kokaram
1997 Misc conf
Combined affine and translational motion compensation scheme using triangular tessellations.
ICASSP
David Benedict Bradshaw, Nick G. Kingsbury
1997 — conf
Error Resilient Transmission of MPEG-II Over Noisy Wireless ATM Networks.
ICIP (2)
Robert Swann, Nick G. Kingsbury
1997 — conf
Optimal Schemes for Motion Estimation Using Colour Image Sequences.
ICIP (2)
Julian Magarey, Anil C. Kokaram, Nick G. Kingsbury
1997 — conf
Robust Motion Estimation Using Chrominance Information in Color Image Sequences.
ICIAP (1)
Julian Magarey, Anil C. Kokaram, Nick G. Kingsbury
1997 — conf
The Recovery of a Near Optimal Layer Representation for an Entire Image Sequence.
ICIP (1)
D. P. Elias, Nick G. Kingsbury
1996 — conf
An improved motion estimation algorithm using complex wavelets.
ICIP (1)
Julian Magarey, Nick G. Kingsbury
1996 Misc conf
Motion estimation using complex wavelets.
ICASSP
Julian Magarey, Nick G. Kingsbury
1996 J jnl
The EREC: an error-resilient technique for coding variable-length blocks of data.
IEEE Trans. Image Process.
David W. Redmill, Nick G. Kingsbury
1996 — conf
Transcoding of MPEG-II for enhanced resilience to transmission errors.
ICIP (2)
Robert Swann, Nick G. Kingsbury
1995 J jnl
A distortion measure for blocking artifacts in images based on human visual sensitivity.
IEEE Trans. Image Process.
Shanika A. Karunasekera, Nick G. Kingsbury
1994 — conf
A distortion measure for image artifacts based on human visual sensitivity.
ICASSP (5)
Shanika A. Karunasekera, Nick G. Kingsbury
1994 — conf
Still Image Coding for Noisy Channels.
ICIP (1)
David W. Redmill, Nick G. Kingsbury
1993 C conf
Distortion measure for blocking artifacts in images based on human visual sensitivity.
VCIP
Shanika A. Karunasekera, Nick G. Kingsbury
1993 J jnl
Flexible design of multidimensional perfect reconstruction FIR 2-band filters using transformations of variables.
IEEE Trans. Image Process.
David B. H. Tay, Nick G. Kingsbury
1993 J jnl
Frequency-domain motion estimation using a complex lapped transform .
IEEE Trans. Image Process.
Robert W. Young, Nick G. Kingsbury
1992 Misc conf
Motion estimation using lapped transforms.
ICASSP
Robert W. Young, Nick G. Kingsbury
1992 Misc conf
Structures for multidimensional FIR perfect reconstruction filter banks.
ICASSP
David B. H. Tay, Nick G. Kingsbury
1990 C conf
Efficient error-resilient codes for sparse image coefficients.
VCIP
Niann Tsyk Cheng, Nick G. Kingsbury
1989 J jnl
A partially coherent detector for continuous phase modulation.
IEEE J. Sel. Areas Commun.
William Harrold, Nick G. Kingsbury
1988 J jnl
Use of the Viterbi algorithm to compute error events of trellis phase coding in order of increasing distance.
IEEE Trans. Commun.
J. M. Tennant, Nick G. Kingsbury
1980 Misc conf
A robust channel vocoder for adverse environments.
ICASSP
Nick G. Kingsbury, W. A. Amos