David Suter

发表

Conformal Surface Alignment with Optimal Möbius Search

Huu Le, Tat-Jun Chin, David Suter, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A New Distance Criterion for Face Recognition Using Image Sets

Tat-Jun Chin, David Suter, D. Suter, 2006, ACCV.

A General Two-Step Approach to Learning-Based Hashing

David Suter, Guosheng Lin, Anton van den Hengel, 2013, 2013 IEEE International Conference on Computer Vision.

Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations

David Suter, Therdsak Tangkuampien, 2006, BMVC.

Mixed Finite Element Based Neural Networks in Visual Reconstruction

David Suter, 1992, Int. J. Pattern Recognit. Artif. Intell..

Retrieving 3D CAD models using 2D images with optimized weights

Tat-Jun Chin, David Suter, Hanzi Wang, 2010, 2010 3rd International Congress on Image and Signal Processing.

Sampling Minimal Subsets with Large Spans for Robust Estimation

Tat-Jun Chin, David Suter, Wojciech Chojnacki, 2013, International Journal of Computer Vision.

A comparision of model-based methods for knee cartilage segmentation

David Suter, Georg Langs, Nathan Faggian, 2007, VISAPP.

An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition

David Suter, Pei Chen, 2006, International Journal of Computer Vision.

Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models

David Suter, Prithiraj Tissainayagam, 2001, Comput. Vis. Image Underst..

Contour tracking with automatic motion model switching

David Suter, Prithiraj Tissainayagam, D. Suter, 2003, Pattern Recognit..

Application of rigid motion geometry to film restoration

Samia Boukir, David Suter, 2002, Object recognition supported by user interaction for service robots.

Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison

Tat-Jun Chin, David Suter, Jin Yu, 2010, ACCV.

Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization

David Suter, Behjat Siddiquie, Sharat Chandran, 2007, BMVC.

Object tracking in image sequences using point features

David Suter, Prithiraj Tissainayagam, D. Suter, 2005, Pattern Recognit..

3D Object Pose Inference via Kernel Principal Component Analysis with Image Euclidian Distance (IMED)

David Suter, Therdsak Tangkuampien, 2006, BMVC.

Boosting histograms of descriptor distances for scalable multiclass specific scene recognition

Tat-Jun Chin, David Suter, Hanzi Wang, 2011, Image Vis. Comput..

Region of Interest Autoencoders with an Application to Pedestrian Detection

Gustavo Carneiro, David Suter, Jerome Williams, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation

David Suter, Hanzi Wang, 2003, DICTA.

The Ordered Residual Kernel for Robust Motion Subspace Clustering

Tat-Jun Chin, David Suter, Hanzi Wang, 2009, NIPS.

Subspace-based face recognition: outlier detection and a new distance criterion

David Suter, Pei Chen, 2005, Int. J. Pattern Recognit. Artif. Intell..

Accelerated Hypothesis Generation for Multi-structure Robust Fitting

Tat-Jun Chin, David Suter, Jin Yu, 2010, ECCV.

Recognition of adult images, videos, and web page bags

David Suter, Yunfei Chen, Zhongfei Zhang, 2011, TOMCCAP.

Visual tracking with automatic motion model switching

David Suter, Prithiraj Tissainayagam, D. Suter, 2001, Pattern Recognit..

Error Analysis in Homography Estimation by First Order Approximation Tools: A General Technique

David Suter, Pei Chen, Pei Chen, 2009, Journal of Mathematical Imaging and Vision.

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers

Tat-Jun Chin, David Suter, Hanzi Wang, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Using symmetry in robust model fitting

David Suter, Hanzi Wang, D. Suter, 2003, Pattern Recognit. Lett..

A Gradient-Based Metric Learning Algorithm for k-NN Classifiers

David Suter, David McG. Squire, Nayyar Abbas Zaidi, 2010, Australasian Conference on Artificial Intelligence.

Robust optic flow estimation using least median of squares

David Suter, Alireza Bab-Hadiashar, A. Bab-Hadiashar, 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

An Adversarial Optimization Approach to Efficient Outlier Removal

Anders P. Eriksson, Tat-Jun Chin, David Suter, 2011, 2011 International Conference on Computer Vision.

Improving the Speed of Kernel PCA on Large Scale Datasets

Tat-Jun Chin, David Suter, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting pdf

Tat-Jun Chin, David Suter, Jin Yu, 2011, ArXiv.

Robust fitting of multiple structures: The statistical learning approach

Tat-Jun Chin, David Suter, Hanzi Wang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues

David Suter, Hanzi Wang, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

A Novel Robust Statistical Method for Background Initialization and Visual Surveillance

David Suter, Hanzi Wang, D. Suter, 2006, ACCV.

Visual Feature Tracking with Automatic Motion Model Switching

David Suter, Prithiraj Tissainayagam, 1998, MVA.

Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model

Liang Wang, David Suter, D. Suter, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields

David Suter, Ee Hui Lim, D. Suter, 2009, Comput. Aided Des..

Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization pdf

David Suter, Guosheng Lin, Anton van den Hengel, 2012, ACCV.

Coupled derivative/mixed finite element approach to visual reconstruction

David Suter, D. Suter, 1992 .

Using synchronised firewire cameras for multiple viewpoint digital video capture, 49p.

David Suter, U. James, 2004 .

Background Subtraction Based on a Robust Consensus Method

David Suter, Hanzi Wang, D. Suter, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Variable bandwidth QMDPE and its application in robust optical flow estimation

David Suter, Hanzi Wang, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Two-View Multibody Structure-and-Motion with Outliers through Model Selection

David Suter, Konrad Schindler, 2006, IEEE Trans. Pattern Anal. Mach. Intell..

Neural Net Simulation on Transputers

David Suter, Xiaolan Deng, 1988, Proceedings of the 1988 IEEE International Conference on Systems, Man, and Cybernetics.

Incremental Kernel PCA for Efficient Non-linear Feature Extraction

Tat-Jun Chin, David Suter, D. Suter, 2006, BMVC.

Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'"

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2012, IEEE Trans. Signal Process..

Color correction for multi-camera system by using correspondences

Toshiaki Fujii, Masayuki Tanimoto, David Suter, 2006, SIGGRAPH '06.

Visual localization and segmentation based on foreground/background modeling

Tat-Jun Chin, David Suter, Hanzi Wang, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Interacting Geometric Priors For Robust Multi-Model Fitting (Supplementary Material)

Tat-Jun Chin, David Suter, K. Schindler, 2014 .

Fast Rotation Search with Stereographic Projections for 3D Registration

Anders P. Eriksson, Tat-Jun Chin, David Suter, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Fast Multipole Method for Accelerating the Evaluation of Splines

David Suter, Fang Chen, 1998 .

Shift-invariant wavelet denoising using interscale dependency

David Suter, Pei Chen, Pei Chen, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences

David Suter, Konrad Schindler, Hanzi Wang, 2007, International Journal of Computer Vision.

Range and Motion Segmentation

David Suter, Alireza Bab-Hadiashar, 2000 .

Manifold optimisation for motion factorisation

David Suter, Sharat Chandran, Appu Shaji, 2008, 2008 19th International Conference on Pattern Recognition.

A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]

David Suter, Hanzi Wang, D. Suter, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition

Liang Wang, David Suter, D. Suter, 2007, IEEE Transactions on Image Processing.

Fast rotation search for real-time interactive point cloud registration

Michael S. Brown, Tat-Jun Chin, David Suter, 2014, I3D.

The Random Cluster Model for robust geometric fitting

Tat-Jun Chin, David Suter, Jin Yu, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

As-Projective-As-Possible Image Stitching with Moving DLT

Michael S. Brown, Tat-Jun Chin, David Suter, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A study of the eigenface approach for face recognition

Tat-Jun Chin, David Suter, 2004 .

Hypergraph Optimization for Multi-Structural Geometric Model Fitting

David Suter, Shuyuan Lin, Hanzi Wang, 2019, AAAI.

Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting

Yan Yan, David Suter, Hanzi Wang, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Colour Correction for Multiple-camera System by Using Correspondences

Toshiaki Fujii, Masayuki Tanimoto, David Suter, 2007 .

Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection

David Suter, Hang Zhou, D. Suter, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis

Tat-Jun Chin, David Suter, Jin Yu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Constraint Networks in Vision

David Suter, 1991, IEEE Trans. Computers.

Simultaneously Estimating the Fundamental Matrix and Homographies

David Suter, Pei Chen, Pei Chen, 2009, IEEE Transactions on Robotics.

Two-view multibody structure-and-motion with outliers through model selection

David Suter, Konrad Schindler, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fast Supervised Hashing with Decision Trees for High-Dimensional Data

David Suter, Guosheng Lin, Anton van den Hengel, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Joint Detection and Estimation of Multiple Objects From Image Observations

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2010, IEEE Transactions on Signal Processing.

Efficient guided hypothesis generation for multi-structure epipolar geometry estimation

Yan Yan, David Suter, Hanzi Wang, 2017, Comput. Vis. Image Underst..

Tracking and segmenting people with occlusions by a sample consensus based method

David Suter, Hanzi Wang, D. Suter, 2005, IEEE International Conference on Image Processing 2005.

Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines

David Suter, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements

Tat-Jun Chin, David Suter, Sanjeev Arulampalam, 2013, IEEE Journal of Selected Topics in Signal Processing.

Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint

David Suter, Pei Chen, Pei Chen, 2009, International Journal of Computer Vision.

Incremental Kernel Principal Component Analysis

Tat-Jun Chin, David Suter, D. Suter, 2007, IEEE Transactions on Image Processing.

RATSAC - Random Tree Sampling for Maximum Consensus Estimation

Huu Le, Tat-Jun Chin, David Suter, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Human action recognition by feature-reduced Gaussian process classification

Liang Wang, David Suter, Hang Zhou, 2009, Pattern Recognit. Lett..

Visual tracking of multiple objects with automatic motion model switching

David Suter, Prithiraj Tissainayagam, D. Suter, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Informative Shape Representations for Human Action Recognition

Liang Wang, David Suter, D. Suter, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Incorporating Knowledge via Regularization Theory: Applications in Vision and Image Processing

David Suter, Harvey A. Cohen, 1988, Australian Joint Conference on Artificial Intelligence.

As-Projective-As-Possible Image Stitching with Moving DLT

Michael S. Brown, Tat-Jun Chin, David Suter, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Keypoint induced distance profiles for visual recognition

Tat-Jun Chin, David Suter, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A consensus-based method for tracking: Modelling background scenario and foreground appearance

David Suter, Hanzi Wang, D. Suter, 2007, Pattern Recognit..

Special Issue of Selected Papers from the 5th Asian Conference in Computer Vision, Melbourne, Australia, 22-25 January 2002

David Suter, 2002, Int. J. Image Graph..

Bayesian multi-object estimation from image observations

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2009, 2009 12th International Conference on Information Fusion.

Interacting Geometric Priors For Robust Multimodel Fitting

Tat-Jun Chin, David Suter, Konrad Schindler, 2014, IEEE Transactions on Image Processing.

Hypergraph Modelling for Geometric Model Fitting pdf

David Suter, Hanzi Wang, Guobao Xiao, 2016, Pattern Recognit..

Motion estimation and vector splines

David Suter, D. Suter, 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

Multi-structure model selection via kernel optimisation

Tat-Jun Chin, David Suter, Hanzi Wang, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Generalization of the Harris 'coupled depth-slope' analog visual reconstruction network

David Suter, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Multi-object filtering from image sequence without detection

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Occlusion removal in image for 3D urban modelling

David Suter, E-H. Lim, 2006 .

A simultaneous sample-and-filter strategy for robust multi-structure model fitting

Tat-Jun Chin, David Suter, Jin Yu, 2013, Comput. Vis. Image Underst..

Motion Estimation for Noise Reduction in Historical Films: MPEG Encoding Effects

David Suter, Fang Chen, 2002 .

Robust Fitting by Adaptive-Scale Residual Consensus

David Suter, Hanzi Wang, D. Suter, 2004, ECCV.

Left ventricular motion reconstruction based on elastic vector splines

Fang Chen, David Suter, D. Suter, 2000, IEEE Transactions on Medical Imaging.

Visual tracking and motion determination using the IMM algorithm

David Suter, Prithiraj Tissainayagam, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Image coordinate transformation based on DIV-CURL vector splines

Fang Chen, David Suter, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Mode seeking over permutations for rapid geometric model fitting

Tat-Jun Chin, David Suter, Jin Yu, 2013, Pattern Recognit..

Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The Maximum Consensus Problem: Recent Algorithmic Advances

Tat-Jun Chin, David Suter, D. Suter, 2017, Synthesis Lectures on Computer Vision.

Deterministic Approximate Methods for Maximum Consensus Robust Fitting

Anders P. Eriksson, Huu Le, Tat-Jun Chin, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A novel robust method for large numbers of gross errors

David Suter, Hanzi Wang, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Assessing the performance of corner detectors for point feature tracking applications

David Suter, Prithiraj Tissainayagam, D. Suter, 2004, Image Vis. Comput..

Extracting motion from images: Robust optic flow and structure from motion

David Suter, P. Chen, Hanzi Wang, 2003 .

Restoration of historic film for digital compression: a case study

David Suter, P. Richardson, 1995, Proceedings., International Conference on Image Processing.

Extrapolating Learned Manifolds for Human Activity Recognition

Liang Wang, Tat-Jun Chin, David Suter, 2007, 2007 IEEE International Conference on Image Processing.

Performance Measures for Assessing Contour Trackers

David Suter, Prithiraj Tissainayagam, 2002, Int. J. Image Graph..

In Defence of RANSAC for Outlier Rejection in Deformable Registration

Michael S. Brown, Gustavo Carneiro, Tat-Jun Chin, 2012, ECCV.

Object Detection Using a Cascade of Classifiers

David Suter, Nayyar Abbas Zaidi, 2008, 2008 Digital Image Computing: Techniques and Applications.

Fast Sparse Gaussian Processes Learning for Man-Made Structure Classification

David Suter, Hang Zhou, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features

David Suter, Hang Zhou, 2007, 2007 IEEE International Conference on Image Processing.

Adaptive Object Tracking Based on an Effective Appearance Filter

David Suter, Konrad Schindler, Hanzi Wang, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Divergence-free wavelets made easy

David Suter, 1995, Optics + Photonics.

Dynamic and hierarchical multi-structure geometric model fitting

Tat-Jun Chin, David Suter, Jin Yu, 2011, 2011 International Conference on Computer Vision.

Robust Fitting Using Mean Shift: Applications in Computer Vision

David Suter, Hanzi Wang, D. Suter, 2004 .

Performance Prediction Analysis for Linear Visual Trackers

David Suter, Prithiviraj Tissainayagam, 1999 .

Visual tracking of numerous targets via multi-Bernoulli filtering of image data

David Suter, Ba-Ngu Vo, Ba-Tuong Vo, 2012, Pattern Recognit..

Inverse Problems in Machine Vision

David Suter, 1990 .

A global optimization approach to robust multi-model fitting

Tat-Jun Chin, David Suter, Jin Yu, 2011, CVPR 2011.

Multiscale Image Representation and Edge Detection

Fang Chen, David Suter, 1998, ACCV.

Quasiconvex Plane Sweep for Triangulation with Outliers

Tat-Jun Chin, David Suter, Qianggong Zhang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Colour correction for multiple-camera system by using correspondences

Toshiaki Fujii, Masayuki Tanimoto, David Suter, 2007 .

Clustering with Hypergraphs: The Case for Large Hyperedges

Tat-Jun Chin, David Suter, Pulak Purkait, 2017, IEEE Trans. Pattern Anal. Mach. Intell..

2D motion extraction using an image interpolation technique

David Suter, Ray Jarvis, Alireza Bab-Hadiashar, 1995, Optics & Photonics.

MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation

David Suter, Hanzi Wang, D. Suter, 2004, International Journal of Computer Vision.

Confidence rated boosting algorithm for generic object detection

David Suter, Nayyar Abbas Zaidi, D. Suter, 2008, 2008 19th International Conference on Pattern Recognition.

A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting

David Suter, Pei Chen, Pei Chen, 2007, Journal of Mathematical Imaging and Vision.

Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study

David Suter, Alireza Bab-Hadiashar, Reza Hoseinnezhad, 2010, Journal of Mathematical Imaging and Vision.

Modelling of Texture Perception

David Suter, Harvey A. Cohen, H. Cohen, 1987 .

Improved wireless tracking using radio frequency and video sensors

Tat-Jun Chin, David Suter, Mark Hedley, 2013, Proceedings of the 16th International Conference on Information Fusion.

Clustering with Hypergraphs: The Case for Large Hyperedges

Tat-Jun Chin, David Suter, Hanno Ackermann, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A new boostrapping strategy for the AdaBoost-based face detector

Tat-Jun Chin, David Suter, 2005 .

Statistical methods in video processing : ECCV 2004 Workshop, SMVP 2004, Prague, Czech Republic, May 16, 2004 : revised selected papers

David Suter, Dorin Comaniciu, Rudolf Mester, 2004, eccv 2004.

Optimal topologies of transputers for different classes of problems

Tharam S. Dillon, David Suter, E. Smith, 1990, Computer systems science and engineering.

Neural Net Surface Interpolation

David Suter, D. Suter, 1987 .

An adversarial optimization approach to efficient outlier removal

Anders P. Eriksson, Tat-Jun Chin, David Suter, 2011, ICCV.

Statistical Methods in Video Processing

David Suter, Dorin Comaniciu, Kenichi Kanatani, 2004, Lecture Notes in Computer Science.

Incremental kernel SVD for face recognition with image sets

Tat-Jun Chin, David Suter, Konrad Schindler, 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

Adaptive human silhouette reconstruction based on the exploration of temporal information

Tat-Jun Chin, David Suter, Xi Li, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking

David Suter, Konrad Schindler, Hanzi Wang, 2006, ECCV.

Deterministic consensus maximization with biconvex programming

Huu Le, Tat-Jun Chin, David Suter, 2018, ECCV.

Analyzing Human Movements from Silhouettes Using Manifold Learning

Liang Wang, David Suter, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition pdf

Yan Yan, David Suter, Hanzi Wang, 2014, Pattern Recognit..

Keynote I: High dimensional data analysis in Computer Vision

David Suter, 2008, 2008 8th IEEE International Conference on Computer and Information Technology.

Face Recognition from Video by Matching Image Sets

Tat-Jun Chin, David Suter, Konrad Schindler, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Efficient Globally Optimal Consensus Maximisation with Tree Search

Anders P. Eriksson, Tat-Jun Chin, David Suter, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust adaptive-scale parametric model estimation for computer vision

David Suter, Hanzi Wang, D. Suter, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fast Rotation Search with Stereographic Projections for 3D Registration

Tat-Jun Chin, David Suter, Álvaro Parra Bustos, 2014, CVPR.

KSM Based Machine Learning for Markerless Motion Capture

David Suter, Therdsak Tangkuampien, 2010, Machine Learning for Human Motion Analysis.

Non-smooth M-estimator for Maximum Consensus Estimation

Anders P. Eriksson, Huu Le, Tat-Jun Chin, 2018, BMVC.

Performance of Visual Tracing Algorithms

David Suter, Prithiviraj Tissainayagam, 1999 .

Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC

Tat-Jun Chin, David Suter, Jin Yu, 2011, NIPS.

Robust Optic Flow Computation

David Suter, Alireza Bab-Hadiashar, A. Bab-Hadiashar, 1998, International Journal of Computer Vision.

An Exact Penalty Method for Locally Convergent Maximum Consensus

Huu Le, Tat-Jun Chin, David Suter, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Keypoint induced distance profiles for visual recognition

Tat-Jun Chin, David Suter, 2009, CVPR.

Recovering the missing components in a large noisy low-rank matrix: application to SFM

David Suter, Pei Chen, Pei Chen, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data

Yan Yan, David Suter, Hanzi Wang, 2016, ECCV.

BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification

David Suter, David McG. Squire, Nayyar Abbas Zaidi, 2010, PAKDD.

Fast evaluation of vector splines in two dimensions

David Suter, F. Chen, 1997 .

Improving Gaussian processes classification by spectral data reorganizing

David Suter, Hang Zhou, D. Suter, 2008, 2008 19th International Conference on Pattern Recognition.

LTSD: a highly efficient symmetry-based robust estimator

David Suter, Hanzi Wang, 2002, 7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002..

Visual Reconstruction and Data Fusion

David Suter, 1997 .

Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering

David Suter, Therdsak Tangkuampien, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Color Image Segmentation Using Global Information and Local Homogeneity

David Suter, Hanzi Wang, D. Suter, 2003, DICTA.

Conditional Random Field for 3D Point Clouds with Adaptive Data Reduction

David Suter, Ee Hui Lim, 2007, 2007 International Conference on Cyberworlds (CW'07).

Superpixel-Guided Two-View Deterministic Geometric Model Fitting

Yan Yan, David Suter, Hanzi Wang, 2018, International Journal of Computer Vision.

Object detection by global contour shape

David Suter, Konrad Schindler, K. Schindler, 2008, Pattern Recognit..

A Compact Architecture for Wireless Video Surveillance over CDMA Network

David Suter, Hang Zhou, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

Coupled depth-slope model based on augmented Lagrangian techniques

David Suter, 1991, Optics & Photonics.

Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting

Yan Yan, David Suter, Hanzi Wang, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

The Random Cluster Model for robust geometric fitting

Tat-Jun Chin, David Suter, Jin Yu, 2012, CVPR.

Visual servo control using homography estimation for the stabilization of an X4-flyer

Tarek Hamel, David Suter, Robert Mahony, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Superpixel-driven level set tracking

Tat-Jun Chin, David Suter, Xi Li, 2012, 2012 19th IEEE International Conference on Image Processing.

Pattern Recognition and Information Forensics

David Suter, Hugo Jair Escalante, Alexandra Branzan Albu, 2018, Lecture Notes in Computer Science.

Development of Semi-Automatic Segmentation Methods for Measuring Tibial Cartilage Volume

David Suter, James Cheong, Flavia Cicuttini, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Feature Detection with an Improved Anisotropic Filter

David Suter, Mohamed Gobara, 2006, ACCV.

Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification

David Suter, Ee Hui Lim, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Fast evaluation of vector splines in three dimensions

Fang Chen, David Suter, D. Suter, 1998, Computing.

Human motion recognition using Gaussian Processes classification

Liang Wang, David Suter, Hang Zhou, 2008, 2008 19th International Conference on Pattern Recognition.

Implementation of visual reconstruction networks-Alternatives to resistive networks

David Suter, D. Mansor, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Point Correspondence Validation under Unknown Radial Distortion

Gustavo Carneiro, Tat-Jun Chin, David Suter, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Visual learning and recognition of sequential data manifolds with applications to human movement analysis

Liang Wang, David Suter, D. Suter, 2008, Comput. Vis. Image Underst..

Robot manipulation grasping of recognized objects for assistive technology support using stereo vision.

David Suter, Ray Jarvis, Sutono Effendi, 2008, ICRA 2008.

Fast single-view people tracking

David Suter, Ba-Ngu Vo, Reza Hoseinnezhad, 2009 .

Robust Total least Squares Based Optic Flow Computation

David Suter, Alireza Bab-Hadiashar, A. Bab-Hadiashar, 1998, ACCV.

Out-of-Sample Extrapolation of Learned Manifolds

Tat-Jun Chin, David Suter, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Maximum Consensus by Weighted Influences of Monotone Boolean Functions pdf

Tat-Jun Chin, David Suter, Syed Zulqarnain Gilani, 2021, ArXiv.

Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning pdf

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2021, ArXiv.

Consensus Maximisation Using Influences of Monotone Boolean Functions

Tat-Jun Chin, David Suter, Ruwan Tennakoon, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images

David Suter, Syed Zulqarnain Gilani, Naeha Sharif, 2021, 2021 Digital Image Computing: Techniques and Applications (DICTA).

Event Data Association via Robust Model Fitting for Event-based Object Tracking pdf

David Suter, Yan Yan, Hanzi Wang, 2021, ArXiv.

Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting

David Suter, Jiayi Ma, Guobao Xiao, 2021, International Journal of Computer Vision.

ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks

David Suter, Ruwan Tennakoon, Alireza Bab-Hadiashar, 2022 .

A Hybrid Quantum-Classical Algorithm for Robust Fitting

Tat-Jun Chin, David Suter, Michele Sasdelli, 2022 .

Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach

Huu Le, David Suter, Syed Zulqarnain Gilani, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).