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 |