conference

[1]	Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, and James Quach. Quantum robust fitting. In Hiroshi Ishikawa, Cheng-Lin Liu, Tomas Pajdla, and Jianbo Shi, editors, Computer Vision -- ACCV 2020, pages 485--499, Cham, 2021. Springer International Publishing. [ bib \| DOI ]
[2]	Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, and Alireza Bab-Hadiashar. Consensus maximisation using influences of monotone boolean functions. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 2865--2874, 2021. Oral Presentation (17% of accepted papers, roughly 3% of sumitted papers). [ bib \| DOI ]
[3]	Giang Truong, Huu Le, David Suter, Erchuan Zhang, and Syed Zulqarnain Gilani. Unsupervised learning for robust fitting: A reinforcement learning approach. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 10343--10352, 2021. [ bib \| DOI ]
[4]	Zaid Ilyas, Naeha Sharif, John Schousboe, Joshua Lewis, David Suter, and Syed Zulqarnain Gilani. Guidenet: Learning inter-vertebral guides in DXA lateral spine images. In DICTA2021, 2021. accepted Sept. 13 2021. [ bib ]
[5]	Haosheng Chen, David Suter, Qiangqiang Wu, and Hanzi Wang. End-to-end learning of object motion estimation from retinal events for event-based object tracking. In The AAAI Conference on Artificial Intelligence (AAAI), New York USA, volume 37, pages 10534--10541, 2020. [ bib \| DOI ]
[6]	Chau Nguyen Duc Minh, Syed Zulqarnain Gilani, Syed Islam, and David Suter. Learning affordance segmentation: An investigative study. In DICTA2020, 2020. [ bib \| DOI ]
[7]	N. Fayyazifar, S. Ahderom, D. Suter, A. Maiorana, and G. Dwivedi. Impact of neural architecture design on cardiac abnormality classification using 12-lead ecg signals. In 2020 Computing in Cardiology, pages 1--4, 2020. [ bib \| DOI ]
[8]	G. Truong, S. Z. Gilani, S. M. S. Islam, and D. Suter. Fast point cloud registration using semantic segmentation. In 2019 Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, Dec 2019. DST Best Science Paper Award. [ bib \| DOI ]
[9]	Zhipeng Cai, Tat-Jun Chin, Huu Le, and David Suter. Deterministic consensus maximization with biconvex programming. In Vittorio Ferrari, Martial Hebert, Cristian Sminchisescu, and Yair Weiss, editors, Computer Vision -- ECCV 2018, pages 699--714, Cham, 2018. Springer International Publishing. [ bib \| DOI ]
[10]	Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, and Hanzi Wang. Hypergraph optimization for multi-structural geometric model fitting. In The AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, volume 33, pages 8730--8737, 2018. [ bib \| DOI ]
[11]	Huu Le, Anders Eriksson, Michael Milford, Thanh-Toan Do, Tat-Jun Chin, and David Suter. Non-smooth m-estimator for maximum consensus estimation. In 29th British Machine Vision Conference (BMVC), 2018. [ bib ]
[12]	H. M. Le, T.-J. Chin, and D. Suter. An oexact penalty method for locally convergent maximum consensus. In Proceedings CVPR2017, pages 379--387. IEEE, 2017. [ bib \| DOI \| http ]
[13]	Qianggong Zhang, T.-J. Chin, and D. Suter. Quasiconvex plane sweep for triangulation with outliers. In Proceedings ICCV2017, pages 920--928. IEEE, 2017. [ bib \| DOI ]
[14]	J. Williams, G. Carneiro, and D. Suter. Region of interest autoencoders with an application to pedestrian detection. In Proceedings DICTA2017. IEEE, 2017. [ bib \| DOI ]
[15]	H. M. Le, T.-J. Chin, and D. Suter. Ratsac - random tree sampling for maximum consensus estimation. In Proceedings DICTA2017. IEEE, 2017. DST Award. [ bib \| DOI ]
[16]	H. Le, T. J. Chin, and D. Suter. Conformal surface alignment with optimal moe bius search. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2507--2516, June 2016. [ bib \| DOI ]
[17]	Guobao Xiao, Hanzi Wang, Yan Yan, and David Suter. Superpixel-based two-view deterministic fitting for multiple-structure data. In Bastian Leibe, Jiri Matas, Nicu Sebe, and Max Welling, editors, Computer Vision -- ECCV 2016, pages 517--533, Cham, 2016. Springer International Publishing. [ bib \| DOI ]
[18]	T. J. Chin, P. Purkait, A. Eriksson, and D. Suter. Efficient globally optimal consensus maximisation with tree search. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2413--2421, June 2015. CVPR Best Paper Honourable Mention Award. [ bib \| DOI ]
[19]	H. Wang, G. Xiao, Y. Yan, and D. Suter. Mode-seeking on hypergraphs for robust geometric model fitting. In 2015 IEEE International Conference on Computer Vision (ICCV), pages 2902--2910, Dec 2015. [ bib \| DOI ]
[20]	M. Hadian-Jazi, A. Bab-Hadiashar, R. Hoseinnezhad, and D. Suter. Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines. In 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA), pages 163--168, Nov 2015. [ bib \| DOI ]
[21]	G. Lin, C. Shen, Q. Shi, A. van den Hengel, and D. Suter. Fast supervised hashing with decision trees for high-dimensional data. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 1971--1978, June 2014. [ bib \| DOI ]
[22]	A. J. P. Bustos, T. J. Chin, and D. Suter. Fast rotation search with stereographic projections for 3d registration. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 3930--3937, June 2014. [ bib \| DOI ]
[23]	Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, and David Suter. Fast rotation search for real-time interactive point cloud registration. In Proceedings of the 18th Meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D '14, pages 55--62, New York, NY, USA, 2014. ACM. [ bib \| DOI \| http ]
[24]	Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, and David Suter. Clustering with hypergraphs: The case for large hyperedges. In David Fleet, Tomas Pajdla, Bernt Schiele, and Tinne Tuytelaars, editors, Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part IV, pages 672--687, Cham, 2014. Springer International Publishing. [ bib \| DOI \| http ]
[25]	T. Sathyan, T. J. Chin, D. Suter, and M. Hedley. Improved wireless tracking using radio frequency and video sensors. In Proceedings of the 16th International Conference on Information Fusion, pages 1442--1449, July 2013. [ bib ]
[26]	J. Zaragoza, T. J. Chin, M. S. Brown, and D. Suter. As-projective-as-possible image stitching with moving dlt. In 2013 IEEE Conference on Computer Vision and Pattern Recognition, pages 2339--2346, June 2013. [ bib \| DOI ]
[27]	Guosheng Lin, Chunhua Shen, Anton van den Hengel, and David Suter. Fast training of effective multi-class boosting using coordinate descent optimization. In Kyoung Mu Lee, Yasuyuki Matsushita, James M. Rehg, and Zhanyi Hu, editors, Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part II, pages 782--795, Berlin, Heidelberg, 2013. Springer Berlin Heidelberg. [ bib \| DOI \| http ]
[28]	W. X. Liu, T. J. Chin, G. Carneiro, and D. Suter. Point correspondence validation under unknown radial distortion. In 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, Nov 2013. [ bib \| DOI ]
[29]	G. Lin, C. Shen, D. Suter, and A. v. d. Hengel. A general two-step approach to learning-based hashing. In 2013 IEEE International Conference on Computer Vision, pages 2552--2559, Dec 2013. [ bib \| DOI ]
[30]	R. B. Tennakoon, A. Bab-Hadiashar, D. Suter, and Z. Cao. Robust data modelling using thin plate splines. In 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pages 1--8, Nov 2013. [ bib \| DOI ]
[31]	Trung T. Pham, Tat-Jun Chin, Jin Yu, and D. Suter. The random cluster model for robust geometric fitting. In CVPR2012, pages 710--717, July 2012. [ bib \| DOI \| http ]
[32]	Xue Zhou, Xi Li, Tat-Jun Chin, and D. Suter. Adaptive human silhouette reconstruction based on the exploration of temporal information. In ICCASP2012, pages 1005--1008, March 2012. [ bib \| DOI \| http ]
[33]	X. Zhou, X. Li, T.-J. Chin, and D. Suter. Superpixel-driven level set tracking. In Proceedings ICIP 2012, pages 409--412, 2012. [ bib \| DOI \| http ]
[34]	Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, and David Suter. In defence of RANSAC for outlier rejection in deformable registration. In ECCV, volume 4, pages 274--287, 2012. [ bib \| DOI \| http ]
[35]	Guosheng Lin, Chunhua Shen, David Suter, and Anton van den Hengel. Fast training of effective multi-class boosting using coordinate descent optimization. In ACCV2012, 2012. [ bib ]
[36]	Ba-Tuong Vo Reza Hoseinnezhad, Ba-Ngu Vo and David Suter. Bayesian integration of audio and visual information for multi-target tracking using a cb-member filter. In ICASSAP 2011, pages 2300--2303, 2011. [ bib ]
[37]	Jin Yu, Tat-Jun Chin, and D. Suter. A global optimization approach to robust multi-model fitting. In CVPR2011, pages 2041--2048, 2011. [ bib \| DOI \| http ]
[38]	N. A. Zaidi, D. Squire, and D. Suter. A gradient-based metric learning algorithm for k-nn classifiers. In AI2010: ADVANCES IN Artficial Intelligence, volume 6464/2011, pages 194--203, 2011. [ bib \| DOI \| http ]
[39]	Hoi Sim Wong, Tat-Jun Chin, Jin Yu, and D. Suter. Dynamic and hierarchical multi-structure geometric model fitting. In ICCV2011, pages 1044--1051, 2011. [ bib \| DOI \| http ]
[40]	Jin Yu, Anders Eriksson, Tat-Jun Chin, and D. Suter. An adversarial optimization approach to efficient outlier removal. In ICCV2011, pages 309--406, 2011. [ bib \| DOI \| http ]
[41]	Trung T. Pham, Tat-Jun Chin, Jin Yu, and David Suter. Simultaneous sampling and multi-structure fitting with adaptive reversible jump MCMC. In Advances in Neural Information Processing Systems 24, pages 540--548, 2011. Editors J. Shawe-Taylor and R.S. Zemel and P. Bartlett and F.C.N. Pereira and K.Q. Weinberger. [ bib \| .pdf ]
[42]	Liang Li, Hanzi Wang, Tat-Jun Chin, D. Suter, and Shusheng Zhang. Retrieving 3d CAD models using 2d images with optimized weights. In Image and Signal Processing (CISP), 2010 3rd International Congress on, volume 4, pages 1586 --1589, oct. 2010. [ bib \| DOI \| http ]
[43]	Hanzi Wang, Tat-Jun Chin, and D. Suter. Visual localization and segmentation based on foreground/background modeling. In ICASSAP 2010, pages 1158--1161, 2010. [ bib \| DOI \| http ]
[44]	N. A. Zaidi, D. Squire, and D. Suter. BoostML: An adaptive metric learning for nearest neighbour classification. In ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, volume 6118/2010, pages 142--149, 2010. [ bib \| DOI \| http ]
[45]	Tat-Jun Chin, Hanzi Wang, and D. Suter. Multi-structure model selection via kernel optimisation. In CVPR2010, pages 3586--3593, 2010. [ bib \| DOI \| http ]
[46]	Tat-Jun Chin, Jin Yu, and D. Suter. Accelerated hypothesis generation for multi-structure model fitting. In Kostas Daniilidis, Petros Maragos, and Nikos Paragios, editors, Computer Vision - ECCV2010, volume 6315 of Lecture Notes in Computer Science, pages 533--546. Springer Berlin / Heidelberg, 2010. [ bib \| DOI \| http ]
[47]	Hoi Sim Wong, Tat Jun Chin, Jin Yu, and D. Suter. Efficient multi-structure robust fitting with incremental top-k lists comparison. In ACCV2010, volume 6495/2011, pages 553--564, 2010. [ bib \| DOI \| http ]
[48]	R. Hoseinezhad, B-N Vo, and D. Suter. Fast single-view people tracking. In Cognitive Systems with Interactive Sensors, 2009. [ bib ]
[49]	R. Hoseinezhad, B-N Vo, and D. Suter. Fast segmentation of multiple motions. In Cognitive Systems with Interactive Sensors, 2009. [ bib ]
[50]	Tat-Jun Chin and D. Suter. Keypoint induced distance profiles for visual recognition. In CVPR2009, pages 1239--1246, 2009. [ bib \| DOI \| http ]
[51]	Ba-Ngu Vo, Ba-Tuong Vo, Nam Trung Pham, and D. Suter. Bayesian multi-object estimation from image observations. In 12th International Conference on Information Fusion, pages 890--898, 2009. [ bib ]
[52]	Tat-Jun Chin, Hanzi Wang, and D. Suter. Robust fitting of multiple structures: The statistical learning approach. In ICCV2009, pages 413--420, 2009. [ bib \| DOI \| http ]
[53]	Tat-Jun Chin, Hanzi Wang, and D. Suter. The ordered residual kernel for robust motion subspace clustering. In NIPS2009, 2009. [ bib \| .pdf ]
[54]	E-H. Lim and D. Suter. Multi-scale conditional random fields for over-segmented irregular 3d point clouds classification. In OTCBVS workshop (held in conjunction with CVPR2008), 2008. [ bib \| DOI \| http ]
[55]	H. Zhou and D. Suter. Improved building detection by Gaussian Processes Classification via feature space rescale and spectral kernel selection. In CVPR2008, 2008. [ bib \| DOI \| http ]
[56]	H. Zhou, L. Wang, and D. Suter. Human motion recognition using Gaussian Processes Classification. In ICPR2008, 2008. [ bib \| DOI \| http ]
[57]	H. Zhou and D. Suter. Improving Gaussian Processes Classification by spectral data reorganizing. In ICPR2008, 2008. [ bib \| DOI \| http ]
[58]	A. Shaji, S. Chandran, and D. Suter. Manifold optimisation for motion factorisation. In ICPR2008, 2008. [ bib \| DOI \| http ]
[59]	N. A. Zaidi and D. Suter. Confidence rated boosting algorithm for generic object detection. In ICPR2008, 2008. [ bib \| DOI \| http ]
[60]	E-H. Lim and D. Suter. Unsupervised plane data and plane patches clustering for 3d terrestrial urban modelling based on modified dirichlet process mixture model method. In VIIP2008, 2008. [ bib ]
[61]	N. A. Zaidi and D. Suter. Object detection using a cascade of classifiers. In DICTA2008, pages 600--605, 2008. [ bib \| DOI \| http ]
[62]	R. Jarvis S. Effendi and D. Suter. Fast stereo with background removal using phase correlation. In IVCNZ2008, 2008. [ bib \| DOI \| http ]
[63]	J. Cheong, N. Faggian, D. Suter, and F. Cicuttini. Automatic segmentation of human tibial cartilage. In The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications SPPRA 2007, pages 368--373, 2007. [ bib ]
[64]	J. Cheong, N. Faggian, G. Langs, D. Suter, and F. Cicuttini. A comparison of model-based methods for knee cartilage segmentation. In 2nd International Conference on Computer Vision Theory and Applications VISAPP2007, pages 290--295, 2007. [ bib ]
[65]	H. Zhou and D. Suter. Fast sparse Gaussian Processes learning for man-made structure classification. In Online Learning for Classification Workshop 2007, 2007. [ bib \| DOI \| http ]
[66]	H. Zhou and D. Suter. Man-made structure segmentation using Gaussian Procesess and wavelet features. In ICIP 2007, volume 4, pages 349--352, 2007. [ bib \| DOI \| http ]
[67]	Tat-Jun Chin, Liang Wang, Konrad Schindler, and D. Suter. Extrapolating learned manifolds for human activity recognition. In ICIP 2007, volume 1, pages 381--384, 2007. [ bib \| DOI \| http ]
[68]	A. Shaji, S. Chandran, B. Siddiquie, and D. Suter. Human pose extraction from monocular videos using constrained non-rigid factorization. In BMVC 2007, 2007. [ bib ]
[69]	EeHui Lim and D. Suter. Conditional random field for 3d point clouds with adaptive data reduction. In NSAGEM 2007, pages 404--408, 2007. [ bib \| DOI \| http ]
[70]	L. Wang and D. Suter. Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model. In CVPR2007, 2007. [ bib \| DOI \| http ]
[71]	Mohamed Gobara and David Suter. Feature detection with an improved anisotropic filter. In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision -- ACCV 2006, volume 3852 of LNCS, pages 643--652. Springer, 2006. [ bib \| DOI \| http ]
[72]	Tat-Jun Chin and David Suter. A new distance criterion for face recognition using image sets. In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision -- ACCV 2006, volume 3851 of LNCS, pages 549--558. Springer, 2006. [ bib \| DOI \| http ]
[73]	Hanzi Wang and David Suter. A novel robust statistical method for background initialization and visual surveillance. In P.J. Narayanan, Shree K. Nayar, and Heung-Yeung Shum, editors, Computer Vision -- ACCV 2006, volume 3851 of LNCS, pages 328--337. Springer, 2006. [ bib \| DOI \| http ]
[74]	Tat-Jun Chin, Konrad Schindler, and David Suter. Incremental kernel SVD for face recognition with image sets. In Proceedings 7th International Conference on Face and Gesture Recognition (FGR2006), Southhampton, UK, pages 461--466, 2006. [ bib \| DOI \| http ]
[75]	H. Wang and D. Suter. Efficient visual tracking by probabilistic fusion of multiple cues. In Proc. ICPR 2006, volume 4, pages 892--895, 2006. [ bib \| DOI \| http ]
[76]	L. Wang and D. Suter. Informative shape representations for human action recognition. In Proc. ICPR 2006, volume 2, pages 1266--1269, 2006. [ bib \| DOI \| http ]
[77]	H. Wang and D. Suter. Background subtraction based on a robust consensus method. In Proc. ICPR 2006, volume 1, pages 223--226, 2006. [ bib \| DOI \| http ]
[78]	T. Tangkuampien and D. Suter. Human motion de-noising via greedy kernel principal component analysis filtering. In Proc. ICPR 2006, volume 3, pages 457--460, 2006. [ bib \| DOI \| http ]
[79]	H. Wang, D. Suter, and Konrad Schindler. Effective appearance model and similarity measure for particle filtering and visual tracking. In European Conference on Computer Vision (ECCV), Graz, Austria, May 7-13, 2006, volume 3953 of LNCS, pages 606--618. Springer, 2006. [ bib \| DOI \| http ]
[80]	Tat-Jun Chin and David Suter. Incremental kernel PCA for efficient non-linear feature extraction. In British Machine Vision Conference BMVC2006, pages 939--948, 2006. [ bib ]
[81]	T. Tangkuampien and D. Suter. 3D object pose inference via kernel principal component analysis with image euclidian distance (IMED). In British Machine Vision Conference BMVC2006, pages 137--146, 2006. [ bib ]
[82]	T. Tangkuampien and D. Suter. Real-time human pose inference using kernel principal component pre-image approximations. In British Machine Vision Conference BMVC2006, pages 599--608, 2006. [ bib ]
[83]	Tat-Jun Chin and D. Suter. Improving the speed of kernel PCA on large scale datasets. In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006. [ bib \| DOI \| http ]
[84]	H. Zhou and D. Suter. A compact architecture for wireless video surveillance over CDMA network. In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006. [ bib \| DOI \| http ]
[85]	L. Wang and D. Suter. Analyzing human movements from silhouettes using manifold learning. In Int. Conf. on Advanced Video and Signal-based Surveillance, 2006. [ bib \| DOI \| http ]
[86]	H. Zhou, D. Suter, and K. Schindler. A hybrid approach to man-made structure extraction from natural scenes. In Image and Vision Computing, New Zealand, Nov. 2006, pages 61--66, 2006. [ bib ]
[87]	E-H. Lim and D. Suter. Classification of 3d lidar point clouds for urban modelling. In Image and Vision Computing, New Zealand, Nov. 2006, pages 149--154, 2006. [ bib ]
[88]	E-H. Lim and D. Suter. Occlusion removal in image for 3d urban modelling. In Image and Vision Computing, New Zealand, Nov. 2006, pages 191--196, 2006. [ bib ]
[89]	R. Hoseinnezhad, A. Bab-Hadiashar, and D. Suter. Finite sample bias of robust scale estimators in computer vision problems. In Lecture Notes in Computer Science, International Symposium on Visual Computing (ISVC06), volume 4291, pages 445--454, Heidelberg, 2006. Springer-Verlag. [ bib \| DOI \| http ]
[90]	H. Wang and D. Suter. A re-evaluation of mixture-of-gaussian background modeling. In Proc. ICASSP 2005, pages 1017--1020, 2005. [ bib \| DOI \| http ]
[91]	H. Wang and D. Suter. Tracking and segmenting people with occlusions by a sample consensus based method. In Proc. ICIP 2005, volume 2, pages 410--413, 2005. [ bib \| DOI \| http ]
[92]	K. Schindler and D. Suter. Two-view multibody structure-and-motion with outliers. In Proc. IEEE Conference in Computer Vision and Pattern Recognition, CVPR2005, volume 2, pages 676--683. IEEE, 2005. [ bib \| DOI \| http ]
[93]	H. Wang and D. Suter. Background initialization with a new robust statistical approach. In IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS'05), pages 153--159, 2005. [ bib \| DOI \| http ]
[94]	J. Cheong, D. Suter, and F. Cicuttini. A semi-automatic system for measuring tibial cartilage volume. In Proc. IEEE Tencon'05, Melbourne,, Australia, 2005. [ bib \| DOI \| http ]
[95]	J. Cheong, D. Suter, and F. Cicuttini. Development of semi-automatic segmentation methods for measuring tibial cartilage volume. In Proc. Digital Image Computing: Techniques and Applications, Cairns, Australia, pages 307--314, 2005. [ bib \| DOI \| http ]
[96]	Tat-Jun Chin, James U, Konrad Schindler, and Dadvid Suter. Face recognition from video by matching image sets. In Proc. Digital Image Computing: Techniques and Applications, Cairns, Australia, pages 188--194, 2005. [ bib \| DOI \| http ]
[97]	P. Chen and D. Suter. Shift-invariant wavelet denoising using interscale dependency. In ICIP-2004, Singapore, volume 2, pages 1005--1008, 2004. [ bib \| DOI \| http ]
[98]	P. Chen and D. Suter. Subspace-based face recognition: outlier detection and a new distance criterion. In Proceedings ACCV2004, pages 830--835, 2004. [ bib ]
[99]	H. Wang and D. Suter. Robust fitting by adaptive-scale residual consensus. In T. Pajdla and J. Matas, editors, Lecture Notes in Computer Science, Proceedings ECCV2004, volume 3023, pages 107--118, Heidelberg, 2004. Springer-Verlag. [ bib \| DOI \| http ]
[100]	H. Wang and D. Suter. A model-based range image segmentation algorithm using a novel robust estimator. In 3rd Int'l Workshop on Statistical and Computational Theories of Vision (in conjunction with ICCV'03), Nice, France, October 2003. [ bib ]
[101]	D. Suter and H. Wang. Robust fitting using mean shift: applications in computer vision. In ICORS2003: International Conference on Robust Statistics, Antwerp, Belguim, 2003. abstract only. [ bib ]
[102]	H. Wang and D. Suter. Variable bandwidth QMDPE and its application in robust optic flow estimation. In Proceedings ICCV03, International Conference on Computer Vision, Nice, France, pages 178--183, 2003. [ bib \| DOI \| http ]
[103]	D. Suter, P. Chen, and H. Wang. Extracting motion from images: Robust optic flow and structure from motion. In Proceedings Australia-Japan Advanced Workshop on Computer Vision, 9-11 Sept. 2003, Adelaide, Australia, pages 64--69, 2003. [ bib ]
[104]	H. Wang and D. Suter. Color image segmentation using global information and local homogeneity. In Proceedings 7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03), Sydney, pages 89--98, 2003. [ bib ]
[105]	H. Wang and D. Suter. False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation. In Proceedings 7th International Conference on Digital Image Computing: Techniques and Applications (DICTA'03), Sydney, pages 581--590, 2003. [ bib ]
[106]	P. Tissainayagam and D. Suter. Performance measures for assessing contour trackers. In Proceedings of 5th Asian Conference on Computer Vision (ACCV2002), pages 314--319, 2002. [ bib ]
[107]	F. Chen and D. Suter. Motion estimation for noise reduction in historical films: Mpeg encoding effects. In Proceedings of 6th Digital Image Computing: Techniques and Applications (DICTA2002) conference, pages 207--212, 2002. [ bib ]
[108]	A. Bab-Hadiashar, D. Suter, and R. Hesami. Robust fitting for pattern recognition. In Proceedings of 6th Digital Image Computing: Techniques and Applications (DICTA2002) conference, pages 358--363, 2002. [ bib ]
[109]	S. Boukir and D. Suter. Application of rigid motion geometry to film restoration. In Proceedings of ICPR2002, volume 6, pages 360--364, 2002. [ bib ]
[110]	A. Bab-Hadiashar, N. Gheissari, and D. Suter. Robust model based motion segmentation. In R. Kasturi, D. Laurendeau, and G. Suen, editors, Proceedings of ICPR2002, volume 2, pages 753--757, 2002. [ bib ]
[111]	D. Suter, T. Hamel, and R. Mahony. Visual servo control using homography estimation for the stabilization of an x4-flyer. In Proceedings 41st IEEE Conference on Decision and Control (CDC), volume 3, pages 2872--2877, 2002. [ bib \| DOI \| http ]
[112]	H. Wang and D. Suter. LTSD: A highly efficient symmetry-based robust estimator. In Proceedings ICARCV2002, pages 332--337, 2002. [ bib \| DOI \| http ]
[113]	H. Wang and D. Suter. A novel robust method for large numbers of gross errors. In Proceedings ICARCV2002, pages 326--331, 2002. [ bib \| DOI \| http ]
[114]	P. Tissainayagam and D. Suter. Empirical evaluation on the performance of contour trackers. In Proc., Third Workshop on Empirical Evaluation Methods in Computer Vision Hawaii, USA, 2001. [ bib ]
[115]	A. Bab-Hadiashar and D. Suter. Outlier resistant GAIC based visual data segmentation. In ACCV2000, Taipei, Taiwan, pages 1174--1179, 2000. [ bib ]
[116]	A. Bab-Hadiashar and D. Suter. Simultaneous model recovery and segmentation for range image analysis. In ACCV2000, Taipei, Taiwan, pages 467--471, 2000. [ bib ]
[117]	P. Tissainayagam and D. Suter. Visual tracking of multiple objects with automatic motion model switching. In ICPR'2000, Barcelona, Spain, pages 1146--1149, 2000. [ bib \| DOI \| http ]
[118]	P. Tissainayagam and D. Suter. Performance prediction and analysis for linear visual trackers. In Irish Machine Vision and Image Processing Conference IMVIP'99, pages 131--147, 1999. [ bib ]
[119]	P. Tissainayagam and D. Suter. Performance of visual tracking algorithms. In DICTA'99, Perth, Australia, pages 206--211, 1999. [ bib ]
[120]	P. Tissainayagam and D. Suter. Contour tracking in image sequences. In DICTA'99, Perth, Australia, pages 110--115, 1999. [ bib ]
[121]	A. Bab-Hadiashar and D. Suter. Simultaneous model recovery and segmentation using visual data. In DICTA'99, Perth, Australia, pages 241--246, 1999. [ bib ]
[122]	P. Tissainayagam and D. Suter. Object tracking in image sequences using multiple hypothesis approach. In Proc., JCIS, N.C. USA , Nov. 1998, pages 473--475, 1998. [ bib ]
[123]	P. Tissainayagam and D. Suter. Visual feature tracking with automatic motion model selection. In Proc., JCIS, N.C. USA , Nov. 1998, pages 322--325, 1998. [ bib ]
[124]	P. Tissainayagam and D. Suter. Visual tracking and motion determination using the IMM algorithm. In 14th International Conference on Pattern Recognition - ICPR'98, volume 1, pages 289--291, 1998. [ bib \| DOI \| http ]
[125]	P. Tissainayagam and D. Suter. Visual tracking with multiple motion models. In IAPR Machine Vision Applications (MVA'98), Chiba, Japan, pages 414--417, 1998. [ bib ]
[126]	F. Chen and D. Suter. Image coordinate transformation based on multiple order div-curl vector splines. In 14th International Conference on Pattern Recognition - ICPR'98, volume 1, pages 518--520, 1998. [ bib \| DOI \| http ]
[127]	F. Chen and D. Suter. Multiscale image representation and edge detection. In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 2, pages 49--56, 1998. [ bib \| DOI \| www: ]
[128]	A. Bab-Hadiashar and D. Suter. Robust total least squares based optic flow computation. In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 1, pages 566--573, 1998. [ bib \| DOI \| http ]
[129]	A. Bab-Hadiashar and D. Suter. Robust motion segmentation using rank ordering estimators. In Lecture Notes in Computer Science: 1352, Proceedings ACCV'98, Hong Kong, volume 2, pages 599--606, 1998. [ bib \| DOI \| http ]
[130]	A Bab-Hadiashar and D. Suter. Robust range segmentation. In 14th International Conference on Pattern Recognition - ICPR'98, volume 2, pages 969--971, 1998. [ bib \| DOI \| http ]
[131]	A Bab-Hadiashar and D. Suter. Motion segmentation: A robust approach. In Proceedings of Interpretation of Visual Motion Workshop, pages 3--9, 1998. [ bib ]
[132]	F. Chen and D. Suter. Elastic spline models for human cardiac motion estimation. In Proceedings of IEEE Non-rigid and Articulated Motion Workshop, June 16, 1997, Puerto Rico, pages 120--127, New York, June 1997. IEEE. [ bib \| DOI \| http ]
[133]	A. Bab-Hadiashar and D. Suter. Optic flow calculation using robust statistics. In Proceedings of CVPR97, Puerto Rico, pages 988--993, New York, June 1997. IEEE. [ bib \| DOI \| http ]
[134]	F. Chen and D. Suter. Surface reconstruction using multiple order Laplacian splines. In Proc. The 33rd Australian Applied Mathematics Conference, Lorne, Victoria, 1997. (abstract). [ bib ]
[135]	F. Chen and D. Suter. Fast evaluation of vector splines in two dimensions. In A. Sydow, editor, Proc. 15th IMACS'97 World Conference on Scientific Computation, Modelling and Applied Mathematics, Berlin, August 1997, volume 1, pages 469--474. Wissenschaft & Technik Verlag, 1997. [ bib ]
[136]	A. Bab-Hadiashar and D. Suter. Motion based segmentation using robust statistics. In H. Pan, M. Brooks, D. McMichael, and G. Newsam, editors, Proc., IAIF'97, Adelaide, Nov. 1997, pages 271--280, 1997. [ bib ]
[137]	P. Tissainayagam and D. Suter. Comparison of corner detectors for tracking features in image sequences. In H. Pan, M. Brooks, D. McMichael, and G. Newsam, editors, Proc., IAIF'97, Adelaide, Nov. 1997, pages 171--181, 1997. [ bib ]
[138]	D. Suter and P. S. Richardson. Historical film restoration and video coding. In Proceedings of PCS'96, Melbourne, Aust, March 1996, pages 389--394, 1996. [ bib ]
[139]	A. Bab-Hadiashar and D. Suter. Robust optic flow estimation using least median of squares. In Proc. ICIP, Lausanne, Switzerland, Sept. 1996, pages 513--516, 1996. [ bib \| DOI \| http ]
[140]	F. Chen and D. Suter. Modelling and segmentation using Laplacian splines and radial baisis functions. In Proceedings Image Segmentation Workshop 1996, Sydney, pages 115--119. The Australian Pattern Recognition Society, 1996. [ bib ]
[141]	A. Bab-Hadiashar and D. Suter. Motion segmentation using robust motion estimation. In Proceedings Image Segmentation Workshop 1996, Sydney, pages 7--11. The Australian Pattern Recognition Society, 1996. [ bib ]
[142]	Y. Wu and D. Suter. Noisy image sequence registration and segmentation. In Proceedings of Second Asian Conference on Computer Vision, ACCV'95, pages 1533--1537, Singapore, December 1995. [ bib ]
[143]	Y. Wu and D. Suter. Historical film processing. In A. G. Tescher, editor, Applications of Digital Image processing XVIII, San Diego, July 1995, pages 289--300. SPIE, 1995. [ bib \| DOI \| http ]
[144]	D. Suter. Divergence-free wavelets made easy. In A. F. Laine, editor, Wavelet Applications in Signal and Image Processing III, San Diego, July 1995, pages 102--115. SPIE, 1995. [ bib \| DOI \| http ]
[145]	P. S. Richardson and D. Suter. Restoration of historical film for digital compression: A case study. In Proceedings of ICIP-95, Washington D.C., Oct. 1995, pages II 49--52. IEEE, 1995. [ bib \| DOI \| http ]
[146]	A. Bab-Hadiashar, D. Suter, and R. Jarvis. Two-dimensional motion extraction using image interpolation technique. In A. G. Tescher, editor, Applications of Digital Image processing XVIII, San Diego, July 1995, pages 271--281. SPIE, 1995. [ bib ]
[147]	A. Bab-Hadiashar, D. Suter, and R. Jarvis. Optic flow computation using interpolating thin-plate splines. In Proceedings ACCV'95 Second Asian Conference on Computer Vision, volume III, pages 452--456, 1995. [ bib ]
[148]	D. Suter. Motion estimation and vector splines. In Proc. CVPR'94, Seattle WA, pages 939--942. IEEE, June 1994. [ bib \| DOI \| http ]
[149]	D. Suter. Thin-plate splines in computer vision. In Proceedings of Australasian Workshop on Thin-plate Splines, Sydney, February 1994. [ bib ]
[150]	D. Suter. Evaluation of splines using multipole-like methods. In Proc. 29th Applied mathematics Conference, page C66, Adelaide, February 1993. Australian Mathematical Society, Division of Applied Mathematics. [ bib ]
[151]	D. Suter. Mixed finite elements and whitney forms in visual reconstruction. In B. C. Vemuri, editor, Geometric Methods in Computer Vision II, San Diego, July 1993, pages 51--62. SPIE, 1993. [ bib \| DOI \| http ]
[152]	D. Suter. Multipole methods in visual reconstruction. In B. C. Vemuri, editor, Geometric Methods in Computer Vision II, San Diego, July 1993, pages 16--26. SPIE, 1993. [ bib \| DOI \| http ]
[153]	D. Suter. Efficient recovery of “time to crash” and rotation from optic flow. In ICARCV-92 2nd International Conference on Automation, Robotics and Computer Vision, volume 1, pages CV11.4.1--CV11.4.5, Singapore, September 1992. Institution of Engineers, Singapore. [ bib ]
[154]	D. Suter. Vector spline and radial basis function methods in visual motion analysis. In Advances in Computer Methods for Partial Differential Equations - VII, pages 714--720, Brunswick, New Jersey, June 1992. IMACS. [ bib ]
[155]	D. Suter. Coupled derivative/mixed finite element approach to visual reconstruction. In A. K. Pani and R. S. Anderssen, editors, Mini Conference on Inverse Problems in Partial Differential Equations, volume 31, pages 222--246, Canberra, Australia, 1992. Australian National University, Centre for Mathematical Analysis. [ bib ]
[156]	D. Suter. Mixed finite element methods in motion analysis. In DICTA-91 Digital Image Computing: Techniques and Applications, pages 397--404, Melbourne, Australia, December 1991. Australian Pattern Recognition Society. [ bib ]
[157]	D. Mansor and D. Suter. Implementation of visual reconstruction networks - alternatives to resistive networks. In Proc. Int. Joint. Conf. on Neural Networks (IJCNN'91 - Singapore), pages 1898--1905, November 1991. [ bib ]
[158]	D. Suter. Mixed finite element and neural network methods of visual reconstruction. In 13th IMACS World Congress on Computation and Applied Mathematics, volume 4, pages 1946--1949, Dublin, July 1991. [ bib ]
[159]	D. Suter. Generalization of the harris “coupled depth-slope” analog visual reconstruction networks. In Proceedings of IJCNN-91-Seattle, pages I 729--739, Seattle, July 1991. [ bib \| DOI \| http ]
[160]	D. Suter. Coupled depth-slope model based upon augmented Lagrangian techniques. In B. C. Vemuri, editor, Geometric Methods in Computer Vision, volume 1570, pages 129--139. SPIE, 1991. [ bib \| DOI \| http ]
[161]	J. N. H. Garwoli and D. Suter. Multi-media and image compression with ifs and wavelets. In 1st Australian Multi-Media Communications Applications and Technology Workshop, pages 223--228, 1991. [ bib ]
[162]	D. Suter. Parallel event driven simulation. In 9th Aust. Microelectronics Conference, pages 211--213, July 1990. [ bib ]
[163]	D. Suter and H. A. Cohen. Incorporating knowledge via regularization theory: applications in vision and image processing. In C. J. Barter and M. J. Brooks, editors, Lecture Notes in Computer Science, AI'88, 2nd Australian Joint Artificial Intelligence Conference, Adelaide, Australia, Nov. 1988 Proceedings, volume 406 of Lecture Notes in Computer Science, pages 379--394, Berlin, 1990. Springer Verlag. [ bib \| DOI \| http ]
[164]	H. Cohen and D. Suter. Adaptive enhancement of perceived contrast in diffuse images: Case study: Electron microscope images. In ICIP89, Singapore, pages 16--20, September 1989. [ bib ]
[165]	J. You, D. Suter, X. Deng, and H. Cohen. Parallel implementation of vision algorithms. In Beijing International Symposium of Young Computer Scientists, pages 542--544, August 1989. [ bib ]
[166]	D. Suter. Transputer based stereo vision system. In Proc. Australian Transputer and OCCAM User Group, Melb. Aust., pages 5--10, June 1989. [ bib ]
[167]	D. Suter, X. Deng, H. Cohen, and T. Dillon. Development and implementation of parallel vision algorithms. In VIsion89, Chicago, pages 1--14, April 1989. [ bib ]
[168]	D. Suter. Analog signal processing: Applications in computer vision. In Proc. 1989 Aust. Symp. on Signal Processing and Applications, Adelaide, pages 236--239, April 1989. [ bib ]
[169]	D. Suter. A new optimization method: applications in interpolation and computer vision. In Proc. ACSC-12, Wollongong, Aust., pages 305--316, Feb. 1989. [ bib ]
[170]	D. Suter. Inference in visual reconstruction. In Proc. AI'89, Melbourne, Australia, pages 58--67, 1989. [ bib ]
[171]	D. Suter and X. Deng. Neural net simulation on transputers. In Proc. Australian Transputer and OCCAM User Group, Melb. Aust., pages 43--48, June 1988. [ bib ]
[172]	D. Suter and X. Deng. Neural net simulation on transputers. In Proc. IEEE Systems, Man, and Cybernetics Conf., Beijing, pages 694--697, Aug. 1988. [ bib \| DOI \| http ]
[173]	D. Suter and H. A. Cohen. Fractals: Representations for visual recognition and for graphics. In Ausgraph 87, Perth Aust., page 25 pages, May 1987. [ bib ]
[174]	D. Suter and H. A. Cohen. Modelling of texture perception. In Proc. Int'l. Conf. Modelling and Simulation, Melb. Aust., pages 430--435, Oct. 1987. [ bib ]
[175]	D. Suter. Neural net surface interpolation. In Proc. 1987 Int'l. Conf. Systems, Man, and Cybernetics, Alexandria, VA, pages 118--123, Oct. 1987. [ bib ]
[176]	D. Suter. Planning in machine vision tasks. In Proc. 1st Australian Artificial Intelligence Congress, Melb. Aust., page 19 pages in Section E (Robotics), Nov. 1986. [ bib ]

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