2008 |
75 | EE | Hang Zhou,
David Suter:
Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection.
CVPR 2008 |
74 | EE | Nayyar Abbas Zaidi,
David Suter:
Object Detection Using a Cascade of Classifiers.
DICTA 2008: 600-605 |
73 | EE | Nayyar Abbas Zaidi,
David Suter:
Confidence rated boosting algorithm for generic object detection.
ICPR 2008: 1-4 |
72 | EE | Hang Zhou,
Liang Wang,
David Suter:
Human motion recognition using Gaussian Processes classification.
ICPR 2008: 1-4 |
71 | EE | Hang Zhou,
David Suter:
Improving Gaussian processes classification by spectral data reorganizing.
ICPR 2008: 1-4 |
70 | EE | Appu Shaji,
Sharat Chandran,
David Suter:
Manifold optimisation for motion factorisation.
ICPR 2008: 1-4 |
69 | EE | Liang Wang,
David Suter:
Visual learning and recognition of sequential data manifolds with applications to human movement analysis.
Computer Vision and Image Understanding 110(2): 153-172 (2008) |
68 | EE | Konrad Schindler,
David Suter,
Hanzi Wang:
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences.
International Journal of Computer Vision 79(2): 159-177 (2008) |
67 | EE | Konrad Schindler,
David Suter:
Object detection by global contour shape.
Pattern Recognition 41(12): 3736-3748 (2008) |
2007 |
66 | EE | Hang Zhou,
David Suter:
Fast Sparse Gaussian Processes Learning for Man-Made Structure Classification.
CVPR 2007 |
65 | EE | Liang Wang,
David Suter:
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model.
CVPR 2007 |
64 | EE | Tat-Jun Chin,
Liang Wang,
Konrad Schindler,
David Suter:
Extrapolating Learned Manifolds for Human Activity Recognition.
ICIP (1) 2007: 381-384 |
63 | EE | Hang Zhou,
David Suter:
Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features.
ICIP (4) 2007: 349-352 |
62 | | James Cheong,
Nathan Faggian,
Georg Langs,
David Suter,
Flavia Cicuttini:
A comparision of model-based methods for knee cartilage segmentation.
VISAPP (1) 2007: 290-295 |
61 | EE | Hanzi Wang,
David Suter,
Konrad Schindler,
Chunhua Shen:
Adaptive Object Tracking Based on an Effective Appearance Filter.
IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1661-1667 (2007) |
60 | EE | Liang Wang,
David Suter:
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition.
IEEE Transactions on Image Processing 16(6): 1646-1661 (2007) |
59 | EE | Tat-Jun Chin,
David Suter:
Incremental Kernel Principal Component Analysis.
IEEE Transactions on Image Processing 16(6): 1662-1674 (2007) |
58 | EE | Hanzi Wang,
David Suter:
A consensus-based method for tracking: Modelling background scenario and foreground appearance.
Pattern Recognition 40(3): 1091-1105 (2007) |
2006 |
57 | EE | Hanzi Wang,
David Suter:
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance.
ACCV (1) 2006: 328-337 |
56 | EE | Tat-Jun Chin,
David Suter:
A New Distance Criterion for Face Recognition Using Image Sets.
ACCV (1) 2006: 549-558 |
55 | EE | Mohamed Gobara,
David Suter:
Feature Detection with an Improved Anisotropic Filter.
ACCV (2) 2006: 643-652 |
54 | EE | Hang Zhou,
David Suter:
A Compact Architecture for Wireless Video Surveillance over CDMA Network.
AVSS 2006: 102 |
53 | EE | Tat-Jun Chin,
David Suter:
Improving the Speed of Kernel PCA on Large Scale Datasets.
AVSS 2006: 41 |
52 | EE | Liang Wang,
David Suter:
Analyzing Human Movements from Silhouettes Using Manifold Learning.
AVSS 2006: 7 |
51 | EE | Hanzi Wang,
David Suter,
Konrad Schindler:
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking.
ECCV (3) 2006: 606-618 |
50 | EE | Tat-Jun Chin,
Konrad Schindler,
David Suter:
Incremental Kernel SVD for Face Recognition with Image Sets.
FG 2006: 461-466 |
49 | EE | Hanzi Wang,
David Suter:
Background Subtraction Based on a Robust Consensus Method.
ICPR (1) 2006: 223-226 |
48 | EE | Liang Wang,
David Suter:
Informative Shape Representations for Human Action Recognition.
ICPR (2) 2006: 1266-1269 |
47 | EE | Therdsak Tangkuampien,
David Suter:
Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering.
ICPR (3) 2006: 457-460 |
46 | EE | Hanzi Wang,
David Suter:
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues.
ICPR (4) 2006: 892-895 |
45 | EE | Reza Hoseinnezhad,
Alireza Bab-Hadiashar,
David Suter:
Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems.
ISVC (1) 2006: 445-454 |
44 | EE | Niloofar Gheissari,
Alireza Bab-Hadiashar,
David Suter:
Parametric model-based motion segmentation using surface selection criterion.
Computer Vision and Image Understanding 102(2): 214-226 (2006) |
43 | EE | Konrad Schindler,
David Suter:
Two-View Multibody Structure-and-Motion with Outliers through Model Selection.
IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 983-995 (2006) |
42 | EE | Pei Chen,
David Suter:
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition.
International Journal of Computer Vision 68(1): 83-106 (2006) |
2005 |
41 | EE | Konrad Schindler,
David Suter:
Two-View Multibody Structure-and-Motion with Outliers.
CVPR (2) 2005: 676-683 |
40 | EE | Tat-Jun Chin,
James U,
Konrad Schindler,
David Suter:
Face Recognition from Video by Matching Image Sets.
DICTA 2005: 28 |
39 | EE | James Cheong,
David Suter,
Flavia Cicuttini:
Development of Semi-Automatic Segmentation Methods for Measuring Tibial Cartilage Volume.
DICTA 2005: 45 |
38 | EE | Hanzi Wang,
David Suter:
Tracking and segmenting people with occlusions by a sample consensus based method.
ICIP (2) 2005: 410-413 |
37 | EE | Pei Chen,
David Suter:
Subspace-based face recognition: outlier detection and a new distance criterion.
IJPRAI 19(4): 479-493 (2005) |
36 | EE | Prithiraj Tissainayagam,
David Suter:
Object tracking in image sequences using point features.
Pattern Recognition 38(1): 105-113 (2005) |
2004 |
35 | | Dorin Comaniciu,
Ken-ichi Kanatani,
Rudolf Mester,
David Suter:
Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers
Springer 2004 |
34 | EE | Hanzi Wang,
David Suter:
Robust Fitting by Adaptive-Scale Residual Consensus.
ECCV (3) 2004: 107-118 |
33 | EE | Pei Chen,
David Suter:
Shift-invariant wavelet denoising using interscale dependency.
ICIP 2004: 1005-1008 |
32 | EE | Hanzi Wang,
David Suter:
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1459-1474 (2004) |
31 | EE | Pei Chen,
David Suter:
Recovering the Missing Components in a Large Noisy Low-Rank Matrix: Application to SFM.
IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 1051-1063 (2004) |
30 | EE | David Suter,
Dorin Comaniciu,
Ken-ichi Kanatani:
Special issue on statistical methods in video processing.
Image Vision Comput. 22(2): 83-84 (2004) |
29 | EE | Prithiraj Tissainayagam,
David Suter:
Assessing the performance of corner detectors for point feature tracking applications.
Image Vision Comput. 22(8): 663-679 (2004) |
28 | EE | Hanzi Wang,
David Suter:
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation.
International Journal of Computer Vision 59(2): 139-166 (2004) |
2003 |
27 | EE | Hanzi Wang,
David Suter:
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation.
DICTA 2003: 581-590 |
26 | EE | Hanzi Wang,
David Suter:
Color Image Segmentation Using Global Information and Local Homogeneity.
DICTA 2003: 89-98 |
25 | EE | Hanzi Wang,
David Suter:
Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation.
ICCV 2003: 178-183 |
24 | EE | Prithiraj Tissainayagam,
David Suter:
Contour tracking with automatic motion model switching.
Pattern Recognition 36(10): 2411-2427 (2003) |
23 | EE | Hanzi Wang,
David Suter:
Using symmetry in robust model fitting.
Pattern Recognition Letters 24(16): 2953-2966 (2003) |
2002 |
22 | EE | Hanzi Wang,
David Suter:
A novel robust method for large numbers of gross errors.
ICARCV 2002: 326-331 |
21 | EE | Hanzi Wang,
David Suter:
LTSD: a highly efficient symmetry-based robust estimator.
ICARCV 2002: 332-337 |
20 | EE | Samia Boukir,
David Suter:
Application of Rigid Motion Geometry to Film Restoration.
ICPR (1) 2002: 360-363 |
19 | EE | Alireza Bab-Hadiashar,
Niloofar Gheissari,
David Suter:
Robust Model Based Motion Segmentation.
ICPR (2) 2002: 753-756 |
18 | EE | Prithiraj Tissainayagam,
David Suter:
Performance Measures for Assessing Contour Trackers.
Int. J. Image Graphics 2(2): 343-359 (2002) |
17 | EE | David Suter:
Special Issue of Selected Papers from the 5th Asian Conference in Computer Vision, Melbourne, Australia, 22-25 January 2002.
Int. J. Image Graphics 2(2): (2002) |
2001 |
16 | EE | Prithiraj Tissainayagam,
David Suter:
Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models.
Computer Vision and Image Understanding 84(1): 104-125 (2001) |
15 | EE | Prithiraj Tissainayagam,
David Suter:
Visual tracking with automatic motion model switching.
Pattern Recognition 34(3): 641-660 (2001) |
2000 |
14 | EE | Prithiraj Tissainayagam,
David Suter:
Visual Tracking of Multiple Objects with Automatic Motion Model Switching.
ICPR 2000: 7146-7158 |
13 | | David Suter,
Fang Chen:
Left Ventricular Motion Reconstruction Based on Elastic Vector Splines.
IEEE Trans. Med. Imaging 19(4): 295-305 (2000) |
1998 |
12 | | Alireza Bab-Hadiashar,
David Suter:
Robust Total least Squares Based Optic Flow Computation.
ACCV (1) 1998: 566-573 |
11 | | Fang Chen,
David Suter:
Multiscale Image Representation and Edge Detection.
ACCV (2) 1998: 49-56 |
10 | | Alireza Bab-Hadiashar,
David Suter:
Robust Motion Segmentation Using Rank Ordering Estimatiors.
ACCV (2) 1998: 599-606 |
9 | EE | Prithiraj Tissainayagam,
David Suter:
Visual Feature Tracking with Automatic Motion Model Switching.
MVA 1998: 414-417 |
8 | EE | Fang Chen,
David Suter:
Fast Evaluation of Vector Splines in Three Dimensions.
Computing 61(3): 189-214 (1998) |
7 | EE | Alireza Bab-Hadiashar,
David Suter:
Robust Optic Flow Computation.
International Journal of Computer Vision 29(1): 59-77 (1998) |
1997 |
6 | EE | Alireza Bab-Hadiashar,
David Suter:
Optic flow calculation using robust statistics.
CVPR 1997: 988- |
1995 |
5 | EE | P. Richardson,
David Suter:
Restoration of historic film for digital compression: a case study.
ICIP 1995: 2049-2052 |
1992 |
4 | | David Suter:
Mixed Finite Element Based Neural Networks in Visual Reconstruction.
IJPRAI 6(1): 113-129 (1992) |
1991 |
3 | | David Suter:
Constraint Networks in Vision.
IEEE Trans. Computers 40(12): 1359-1367 (1991) |
1990 |
2 | | X. L. Deng,
Tharam S. Dillon,
Ken S. Lew,
J. Rankin,
E. Smith,
David Suter:
Optimal topologies of transputers for different classes of problems.
Comput. Syst. Sci. Eng. 5(1): 36-41 (1990) |
1988 |
1 | | David Suter,
Harvey A. Cohen:
Incorporating Knowledge via Regularization Theory: Applications in Vision and Image Processing.
Australian Joint Conference on Artificial Intelligence 1988: 379-394 |