| 2018 |
Cai, Z., Chin, T., Le, H., & Suter, D. (2018). Deterministic consensus maximization with biconvex programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 11216 LNCS (pp. 699-714).
DOI Scopus1 |
| 2017 |
Zhang, Q., Chin, T., & Suter, D. (2017). Quasiconvex Plane Sweep for Triangulation with Outliers. In Proceedings of the IEEE International Conference on Computer Vision Vol. 2017-October (pp. 920-928). Venice, ITALY: IEEE.
DOI WoS1 |
| 2017 |
Williams, J., Carneiro, G., & Suter, D. (2017). Region of interest autoencoders with an application to pedestrian detection. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. Feng (Eds.), Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2017) Vol. 2017-December (pp. 580-587). Piscataway, NJ: IEEE.
DOI |
| 2017 |
Le, H., Chin, T., & Suter, D. (2017). RATSAC - Random tree sampling for maximum consensus estimation. In Y. Guo, H. Li, W. Cai, M. Murshed, Z. Wang, J. Gao, & D. Feng (Eds.), Proceedings DICTA 2017 - 2017 International Conference on Digital Image Computing: Techniques and Applications Vol. 2017-December (pp. 1-8). Sydney: IEEE.
DOI |
| 2017 |
Le, H., Chin, T. -J., & Suter, D. (2017). An exact penalty method for locally convergent maximum consensus. In Proceedings of the 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) Vol. 2017-January (pp. 379-387). Piscataway, NJ: IEEE.
DOI Scopus4 WoS2 |
| 2016 |
Xiao, G., Wang, H., Yan, Y., & Suter, D. (2016). Superpixel-based two-view deterministic fitting for multiple-structure data. In B. Leibe, J. Matas, N. Sebe, & M. Welling (Eds.), Proceedings of the 14th European Conference on Computer Vision Vol. 9910 (pp. 517-533). Amsterdam, Netherlands: Springer International Publishing AG.
DOI Scopus5 WoS1 |
| 2016 |
Le, H., Chin, T., & Suter, D. (2016). Conformal surface alignment with optimal Möbius search. In Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops Vol. 2016-January (pp. 2507-2516). Las Vegas, NV: IEEE.
DOI Scopus2 WoS1 |
| 2015 |
Chin, T., Purkait, P., Eriksson, A., & Suter, D. (2015). Efficient globally optimal consensus maximisation with tree search. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 2413-2421). Boston, MA: IEEE.
DOI Scopus16 WoS14 |
| 2015 |
Hadian-Jazi, M., Bab-Hadiashar, A., Hoseinnezhad, R., & Suter, D. (2015). Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines. In R. Jennane (Ed.), Image Processing, Theory, Tools and Applications (pp. 163-168). Orleans, France: IEEE.
DOI |
| 2015 |
Wang, H., Xiao, G., Yan, Y., & Suter, D. (2015). Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting. In Proceedings of the IEEE International Conference on Computer Vision Vol. Proceedings 2015 IEEE International Conference on Computer Vision (pp. 2902-2910). Santiago, Chile: IEEE.
DOI Scopus16 WoS11 |
| 2014 |
Chin, T. J., Parra Bustos, A., Brown, M. S., & Suter, D. (2014). Fast rotation search for real-time interactive point cloud registration. In I3D '14 - Symposium on Interactive 3D Graphics and Games (pp. 55-62). San Francisco, CA, USA: ACM.
DOI Scopus2 |
| 2014 |
Lin, G., Shen, C., Shi, Q., Van Den Hengel, A., & Suter, D. (2014). Fast supervised hashing with decision trees for high-dimensional data. In Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1971-1978). Columbus, Ohio: IEEE.
DOI Scopus182 WoS69 |
| 2014 |
Purkait, P., Chin, T. J., Ackermann, H., & Suter, D. (2014). Clustering with hypergraphs: the case for large hyperedges. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision - ECCV 2014, 13th European Conference, Zurich, Switzerland, September 6-12, 2014: Proceedings, Part IV Vol. 8692 LNCS (pp. 672-687). Zurich, Switzerland: Springer International Publishing.
DOI Scopus17 WoS10 |
| 2014 |
Bustos, Á., Chin, T., & Suter, D. (2014). Fast rotation search with stereographic projections for 3D registration. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 3930-3937). Columbus, OH: IEEE.
DOI Scopus15 WoS10 |
| 2013 |
Liu, W., Chin, T. J., Carneiro, G., & Suter, D. (2013). Point correspondence validation under unknown radial distortion. In Proceedings of the IEEE2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 (pp. 1-8). USA: IEEE.
DOI Scopus1 |
| 2013 |
Hernandez Zaragoza, J., Chin, T., Brown, M., & Suter, D. (2013). As-projective-as-possible image stitching with moving DLT. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 2339-2346). United States of America: IEEE.
DOI Scopus103 WoS65 |
| 2013 |
Lin, G., Shen, C., Suter, D., & Van Den Hengel, A. (2013). A general two-step approach to learning-based hashing. In Proceedings of the 2013 IEEE International Conference on Computer Vision, ICCV 2013 (pp. 1-13). USA: IEEE Computer Society.
DOI Scopus96 WoS52 |
| 2013 |
Tennakoon, R., Bab-Hadiashar, A., Suter, D., & Cao, Z. (2013). Robust data modelling using thin plate splines. In Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013 (pp. 268-275). United States: IEEE.
DOI Scopus2 |
| 2013 |
Sathyan, T., Chin, T. J., Suter, D., & Hedley, M. (2013). Improved wireless tracking using radio frequency and video sensors. In Proceedings of the16th International Conference of Information Fusion, FUSION 2013 (pp. 1442-1449). Online: IEEE.
Scopus3 WoS1 |
| 2013 |
Lovell, B., & Suter, D. (2013). Message from the general co-chairs. In 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings.
DOI |
| 2012 |
Lin, G., Shen, C., Van Den Hengel, A., & Suter, D. (2012). Fast training of effective multi-class boosting using coordinate descent optimization. In Proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012 Vol. 7725 LNCS (pp. 782-793). Germany: Springer-Verlag.
DOI |
| 2012 |
Zhou, X., Li, X., Chin, T., & Suter, D. (2012). Superpixel-driven level set tracking. In Proceedings of the IEEE 19th International Conference on Image Processing, ICIP 2012 (pp. 409-412). USA: IEEE.
DOI Scopus12 WoS6 |
| 2012 |
Tran, Q., Chin, T. J., Carneiro, G., Brown, M., & Suter, D. (2012). In defence of RANSAC for outlier rejection in deformable registration. In Proceedings of the12th European Conference on Computer Vision, ECCV 2012 Vol. 7575 LNCS (pp. 274-287). Germany: Springer-Verlag.
DOI Scopus31 WoS20 |
| 2012 |
Zhou, X., Li, X., Chin, T., & Suter, D. (2012). Adaptive human silhouette reconstruction based on the exploration of temporal information. In Proceedings of the 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 (pp. 1005-1008). USA: IEEE.
DOI Scopus1 WoS1 |
| 2012 |
Pham, T., Chin, T., Yu, J., & Suter, D. (2012). The random cluster model for robust geometric fitting. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 (pp. 710-717). USA: IEEE.
DOI Scopus22 WoS10 |
| 2011 |
Wong, H., Chin, T., Yu, J., & Suter, D. (2011). Dynamic and hierarchical multi-structure geometric model fitting. In Proceedings of the 2011 IEEE International Conference on Computer Vision (pp. 1044-1051). USA: IEEE.
DOI Scopus57 WoS31 |
| 2011 |
Pham, T., Chin, T., Yu, J., & Suter, D. (2011). Simultaneous sampling and multi-structure fitting with adaptive reversible jump MCMC. In Proceedings of the 25th Annual Conference on Neural Information Processing Systems (pp. 1-9). Spain: NIPS Foundation.
Scopus8 |
| 2011 |
Hoseinnezhad, R., Vo, B. N., Vo, B. T., & Suter, D. (2011). Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter. In Proceedings of ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 2300-2303). USA: IEEE.
DOI Scopus32 WoS22 |
| 2011 |
Yu, J., Chin, T. J., & Suter, D. (2011). A global optimization approach to robust multi-model fitting. In Proceedings of 2011 IEEE Conferencec on Computer Vision and Pattern Recognition (pp. 2041-2048). 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE.
DOI Scopus35 |
| 2011 |
Yu, J., Eriksson, A., Chin, T., & Suter, D. (2011). An adversarial optimization approach to efficient outlier removal. In 2011 IEEE International Conference on Computer Vision (pp. 399-406). 345 E 47TH ST, NEW YORK, NY 10017 USA: IEEE.
DOI Scopus16 WoS7 |
| 2010 |
Zaidi, N., Squire, D., & Suter, D. (2010). BoostML: An adaptive metric learning for nearest neighbor classification. In Proceedings of the 14th PAKDD Vol. 6118 LNAI (pp. 142-149). Germany: Springer-Verlag.
DOI |
| 2010 |
Li, L., Wang, H., Chin, T. J., Suter, D., & Zhang, S. (2010). Retrieving 3D CAD models using 2D images with optimized weights. In Proceedings of 2010 3rd International Congress on Image and Signal Processing, CISP 2010 Vol. 4 (pp. 1586-1589). USA: IEEE.
DOI Scopus6 |
| 2010 |
Chin, T. J., Suter, D., & Wang, H. (2010). Multi-structure model selection via kernel optimisation. In Proceedings of 2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 3586-3593). 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA: IEEE COMPUTER SOC.
DOI Scopus10 WoS8 |
| 2010 |
Wang, H., Chin, T. J., & Suter, D. (2010). Visual localization and segmentation based on foreground/background modeling. In Proceedings of 2010 IEEE International Conference on Acoustics, speech and signal processing (pp. 1-4). USA: IEEE.
DOI |
| 2010 |
Chin, T., Yu, J., & Suter, D. (2010). Accelerated hypothesis generation for multi-structure robust fitting. In Proceedings of ECCV 2010 Vol. 6315 (pp. 533-546). Germany: Springer-Verlag Berlin.
DOI Scopus19 WoS15 |
| 2010 |
Zaidi, N., Squire, D., & Suter, D. (2010). A gradient-based metric learning algorithm for k-NN classifiers. In 23rd Australasian Joint Conference on Artificial Intelligence, AI 2010 Vol. 6464 LNAI (pp. 194-203). Netherlands: Springer Verlag.
DOI Scopus2 WoS2 |
| 2010 |
Wong, H., Chin, T. J., Yu, J., & Suter, D. (2010). Efficient multi-structure robust fitting with incremental top-k lists comparison. In Proceedings of The 10th Asian conference on computer vision (ACCV 2010) Vol. 6495 LNCS (pp. 1-12). www: Springer.
DOI Scopus7 WoS1 |
| 2010 |
Hoseinnezhad, R., Vo, B., Suter, D., & Vo, B. (2010). Multi-object filtering from image sequence without detection. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 1154-1157). Dallas, TX: IEEE.
DOI Scopus24 WoS17 |
| 2009 |
Chin, T. J., Wang, H., & Suter, D. (2009). Robust Fitting of Multiple Structures: The Statistical Learning Approach. In Proceedings of The Twelfth IEEE International Conference on Computer Vision (pp. 413-420). USA: IEEE.
DOI Scopus67 WoS41 |
| 2009 |
Chin, T., & Suter, D. (2009). Keypoint induced distance profiles for visual recognition. In Proceedings of the 2009 Conference on Computer Vision & Recognition Vol. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 1239-1246). USA: IEEE.
DOI Scopus1 |
| 2009 |
Vo, B. N., Vo, B. T., Suter, D., & Pham, N. (2009). Bayesian multi-object estimation from image observations. In Proceedings of the 12th International Conference on Information Fusion (pp. 890-891). USA: IEEE.
Scopus14 WoS8 |
| 2009 |
Chin, T. J., Wang, H., & Suter, D. (2009). The ordered residual kernel for robust motion subspace clustering. In Proceedings of NIPS 2009 (pp. 333-342). online: NIPS.
Scopus22 |
| 2009 |
Hoseinnezhad, R., Vo, B., & Suter, D. (2009). Fast single-view people tracking. In Proceedings of COGIS'09 (pp. 1-6). CDROM: SEE. |
| 2009 |
Hoseinnezhad, R., Vo, B., & Suter, D. (2009). Fast segmentation of multiple motions. In Proceedings of COGIS'09 (pp. 1-6). CDROM: SEE. |
| 2008 |
Lim, E., & Suter, D. (2008). Multi-scale conditional random fields for over-segmented irregular 3D point clouds classification. In Computer Vision and Pattern Recognition Workshops (CVPRW) 2008 (pp. 7 pages). Online: IEEE.
DOI Scopus17 WoS2 |
| 2008 |
Zhou, H., & Suter, D. (2008). Improved building detection by gaussian processes classification via feature space rescale and spectral kernel selection.. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2008 (pp. 1-6). Online: IEEE.
DOI Scopus3 |
| 2008 |
Zhou, H., Wang, L., & Suter, D. (2008). Human motion recognition using gaussian processes classification. In The 19th International Conference on Pattern Recognition (ICPR) 2008 (pp. 1-4). Online: IEEE.
Scopus5 |
| 2008 |
Zhou, H., & Suter, D. (2008). Improving gaussian processes classification by spectral data reorganizing. In The 19th International Conference on Pattern Recognition (ICPR) 2008 (pp. 1-4). Online: IEEE.
DOI Scopus2 |
| 2008 |
Shaji, A., Chandran, S., & Suter, D. (2008). Manifold optimisation for motion factorisation. In Proceedings of the19th International Conference on Pattern Recognition (ICPR 2008) (pp. 3555-3558). Tampa, USA: IEEE.
DOI Scopus5 |
| 2008 |
Zaidi, N., & Suter, D. (2008). Confidence rated boosting algorithm for generic object detection. In The 19th International Conference on Pattern Recognition (ICPR) 2008 (pp. 1-4). Online: IEEE.
DOI Scopus3 |
| 2008 |
Zaidi, N., & Suter, D. (2008). Object detection using a cascade of classifiers. In Digital Image Computing: Techniques and Applications (DICTA) 2008 Proceedings (pp. 600-605). Online: IEEE.
DOI |
| 2008 |
Effendi, S., Jarvis, R., & Suter, D. (2008). Fast stereo with background removal using phase correlation. In Image and Vision Computing New Zealand 2008 (pp. 1-6). Online: IEEE.
DOI |
| 2008 |
Lim, E., Suter, D., & Kocbek, S. (2008). Unsupervised plane data clustering based on modified Dirichlet Process Mixture Model method. In Proceedings of the 8th IASTED International Conference on Visualization, Imaging, and Image Processing, VIIP 2008 (pp. 148-155). |
| 2008 |
Effendi, S., Jarvis, R., & Suter, D. (2008). Robot manipulation grasping of recognized objects for assistive technology support using stereo vision. In Proceedings of the 2008 Australasian Conference on Robotics and Automation, ACRA 2008.
Scopus7 |
| 2007 |
Cheong, J., Faggian, N., Langs, G., Suter, D., & Cicuttini, F. (2007). A comparision of Model-based methods for knee cartilage segmentation. In VISAPP 2007 - 2nd International Conference on Computer Vision Theory and Applications, Proceedings Vol. IFP (pp. 290-295).
Scopus1 |
| 2007 |
Chin, T. J., Wang, L., Schindler, K., & Suter, D. (2007). Extrapolating learned manifolds for human activity recognition. In Proceedings of the 14th IEEE International Conference on Image Processing, 2007, San Antonio, Texas, USA. Vol. 1 (pp. 381-384). Online: IEEE.
DOI Scopus14 WoS6 |
| 2007 |
Wang, L., & Suter, D. (2007). Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model.. In IEEE Computer Vision and Pattern Recognition (CVPR) 2007 Proceedings (pp. 1-8). Online: IEEE.
DOI Scopus154 |
| 2007 |
Cheong, J., Faggian, N., Suter, D., & Cicuttini, F. (2007). Automatic segmentation of human tibial cartilage. In The Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications SPPRA 2007 Proceedings (pp. 368-373). Calgary, Canada: ACTA Press.
Scopus2 |
| 2007 |
Zhou, H., & Suter, D. (2007). Fast sparse gaussian processes learning for man-made structure classification. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2007 Online Learning for Classification Workshop (pp. 1-6). Online: IEEE.
DOI Scopus1 |
| 2007 |
Zhou, H., & Suter, D. (2007). Man-made structure segmentation using gaussian procesess and wavelet features.. In IEEE International Conference on Image Processing (ICIP) 2007 Proceedings Vol. 4 (pp. IV-349-IV-352). Online: IEEE.
DOI |
| 2007 |
Shaji, A., Siddiquie, B., Chandran, S., & Suter, D. (2007). Human pose extraction from monocular videos using constrained non-rigid factorization. In British Machine Vision Conference 2007 Proceedings (pp. 10 pages). Online: British Machine Vision Association.
DOI Scopus1 |
| 2007 |
Lim, E., & Suter, D. (2007). Conditional random field for 3D point clouds with adaptive data reduction.. In 2007 International Conference on Cyberworlds Proceedings (pp. 404-408). Online: IEEE.
DOI Scopus25 WoS2 |
| 2007 |
Zhou, H., & Suter, D. (2007). Man-made structure segmentation using Gaussian processes and wavelet features. In 2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 (pp. 2045-2048). San Antonio, TX: IEEE. |
| 2007 |
Wang, L., Li, Y., Wang, C., & Zhang, H. (2007). Face recognition using gaborface-based 2DPCA and (2D)(2)PCA classification with ensemble and multichannel model. In 2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN SECURITY AND DEFENSE APPLICATIONS (pp. 1-+). Honolulu, HI: IEEE.
WoS7 |
| 2006 |
Yamamoto, K., Yendo, T., Fujii, T., Tanimoto, M., & Suter, D. (2006). Color correction for multi-camera system by using correspondences. In ACM SIGGRAPH 2006 Research Posters, SIGGRAPH 2006.
DOI Scopus4 |
| 2006 |
Gobara, M., & Suter, D. (2006). Feature detection with an improved anisotropic filter.. In 7th Asian Conference on Computer Vision 2006 Lecture Notes in Computer Science vol 3852 Vol. 3852 LNCS (pp. 643-652). Berlin: Springer.
DOI Scopus2 WoS1 |
| 2006 |
Wang, L., & Suter, D. (2006). Informative shape representations for human action recognition. In Proceedings 18th International Conference on Pattern Recognition 2006, volume 2 Vol. 2 (pp. 1266-1269). Online: IEEE.
DOI Scopus46 WoS13 |
| 2006 |
Tangkuampien, T., & Suter, D. (2006). Human motion de-noising via greedy kernel principal component analysis filtering. In Proceedings 18th International Conference on Pattern Recognition 2006, volume 3, Vol. 3 (pp. 457-460). Online: IEEE.
DOI Scopus17 WoS6 |
| 2006 |
Tangkuampien, T., & Suter, D. (2006). 3D object pose inference via kernel principal component analysis with image euclidian distance (IMED).. In British Machine Vision Conference BMVC2006 Proceedings (pp. 10 pages). Online: British Machine Vision Association.
Scopus4 |
| 2006 |
Tangkuampien, T., & Suter, D. (2006). Real-time human pose inference using kernel principal component pre-image approximations. In British Machine Vision Conference BMVC2006 (pp. 10 pages). Online: The British Machine Vision Association.
Scopus11 |
| 2006 |
Wang, H., & Suter, D. (2006). A novel robust statistical method for background initialization and visual surveillance. In LECTURE NOTES IN COMPUTER SCIENCE, 7th Asian Conference on Computer Vision (ACCV) 2006, Vol. 3851 Vol. 3851 LNCS (pp. 328-337). Berlin: Springer.
DOI Scopus34 WoS26 |
| 2006 |
Wang, H., & Suter, D. (2006). Background Subtraction Based on a Robust Consensus Method. In 18th International Conference on Pattern Recognition (ICPR), 2006, Volume 1 Vol. 1 (pp. 223-226). Online: IEEE.
DOI Scopus53 WoS31 |
| 2006 |
Wang, H., & Suter, D. (2006). Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues. In 18th International Conference on Pattern Recognition (ICPR), 2006 Vol. 4 (pp. 892-895). Online: IEEE.
DOI Scopus25 WoS9 |
| 2006 |
Zhou, H., & Suter, D. (2006). A compact architecture for wireless video surveillance over cdma network. In International Conference on Advanced Video and Signal-based Surveillance, 2006 Proceedings (pp. 102-106). Online: IEEE.
DOI Scopus3 |
| 2006 |
Wang, L., & Suter, D. (2006). Analyzing human movements from silhouettes using manifold learning. In Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (AVSS'06) (pp. 1-6). Online: IEEE.
DOI Scopus22 |
| 2006 |
Hoseinnezhad, R., Bab-Hadiashar, A., & Suter, D. (2006). Finite sample bias of robust scale estimators in computer vision problems.. In International Symposium on Visual Computing 2006 Lecture Notes in Computer Science vol 4291 Vol. 4291 LNCS - I (pp. 445-454). Berlin: Springer Verlag.
DOI Scopus9 WoS8 |
| 2006 |
Chin, T., Schindler, K., & Suter, D. (2006). Incremental Kernel SVD for Face Recognition with Image Sets. In Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition, 2006, Southampton, U.K. Vol. 2006 (pp. 461-466). Online: IEEE.
DOI Scopus45 WoS23 |
| 2006 |
Chin, T. J., & Suter, D. (2006). Incremental Kernel PCA for Efficient Non-linear Feature Extraction. In Proceedings of the 17th British Machine Vision Conference, 2006, Edinburgh, U.K. (pp. 939-948). Online: The british Machine Vision Association.
Scopus12 |
| 2006 |
Chin, T., & Suter, D. (2006). Improving the Speed of Kernel PCA on Large Scale Datasets. In Proceedings of the IEEE International Conference on Advanced Video and Signal based Surveillance, 2006, Sydney, NSW, Australia. (pp. 1-6). Online: IEEE.
DOI Scopus5 |
| 2006 |
Wang, H., Suter, D., & Schindler, K. (2006). Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking. In ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings (Lecture Notes in Computer Science vol 3953) Vol. 3953 LNCS (pp. 606-618). Berlin: Springer.
DOI Scopus29 WoS13 |
| 2006 |
Chin, T. J., & Suter, D. (2006). A new distance criterion for face recognition using image sets. In P. J. Narayanan, S. K. Nayar, & H. Y. Shum (Eds.), Computer Vision - ACCV 2006: 7th Asian Conference on Computer Vision Vol. 3851 LNCS (pp. 549-558). Berlin: Springer-Verlag.
DOI Scopus4 WoS2 |
| 2005 |
Cheong, J., Suter, D., & Cicuttini, F. (2005). Development of semi-automatic segmentation methods for measuring tibial cartilage volume.. In Proceedings Digital Image Computing: Techniques and Applications, Cairns, Australia 2005 (pp. 45-52). Online: IEEE.
Scopus6 |
| 2005 |
Chin, T., U, J., Schindler, K., & Suter, D. (2005). Face Recognition from Video by Matching Image Sets. In Proceedings of Digital Image Computing: Techniques and Applications, 2005, Cairns, Queensland, Australia. Vol. 2005 (pp. 1-7). Online: IEEE.
DOI Scopus8 |
| 2005 |
Schindler, K., & Suter, D. (2005). Two-view multibody structure-and-motion with outliers. In Proceedings IEEE Conference in Computer Vision and Pattern Recognition, CVPR2005 Vol. II (pp. 676-683). Online: IEEE.
DOI Scopus10 WoS3 |
| 2005 |
Cheong, J., Suter, D., & Cicuttini, F. (2005). A semi-automatic system for measuring tibial cartilage volume. In IEEE Tencon 2005 Proceedings Vol. 2007 (pp. 6 pages). Online: IEEE.
DOI Scopus3 |
| 2005 |
Wang, H., & Suter, D. (2005). Background Initialization with A New Robust Statistical Approach. In IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS) 2005 Vol. 2005 (pp. 153-159). Online: IEEE.
DOI Scopus5 |
| 2005 |
Wang, H., & Suter, D. (2005). Tracking and segmenting people with occlusions by a sample consensus based method. In IEEE International Conference on Image Processing (ICIP), Genova, Italy 2005 Vol. 2 (pp. 410-413). Online: IEEE.
DOI Scopus8 WoS1 |
| 2005 |
Wang, H., & Suter, D. (2005). A re-evaluation of mixture-of-Gaussian background modeling. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Pennsylvania, USA, 2005 Vol. II (pp. 1017-1020). Online: IEEE.
DOI Scopus48 WoS12 |
| 2004 |
Wang, H., & Suter, D. (2004). Robust Fitting by Adaptive-Scale Residual Consensus. In LECTURE NOTES IN COMPUTER SCIENCE, European Conference on Computer Vision (ECCV) 2004 (LNCS vol 3023) Vol. 3023 (pp. 107-118). Berlin: Springer.
DOI Scopus13 WoS3 |
| 2004 |
Chen, P., & Suter, D. (2004). Shift-invariant wavelet denoising using interscale dependency. In Proceedings International Conference on Image Processing (ICIP) 2004 Volume 2 Vol. 5 (pp. 1005-1008). Online: IEEE.
Scopus5 WoS2 |
| 2004 |
Georgescu, B., Comaniciu, D., Han, T., & Zhou, X. (2004). Multi-model component-based tracking using robust information fusion. In D. Comaniciu, K. Kanatani, R. Mester, & D. Suter (Eds.), STATISTICAL METHODS IN VIDEO PROCESSING Vol. 3247 (pp. 61-70). Prague, CZECH REPUBLIC: SPRINGER-VERLAG BERLIN.
WoS3 |
| 2004 |
Georgescu, B., Comaniciu, D., Han, T., & Zhou, X. (2004). Multi-model component-based tracking using robust information fusion. In D. Comaniciu, K. Kanatani, R. Mester, & D. Suter (Eds.), STATISTICAL METHODS IN VIDEO PROCESSING Vol. 3247 (pp. 61-70). Prague, CZECH REPUBLIC: SPRINGER-VERLAG BERLIN.
WoS3 |
| 2003 |
Wang, H., & Suter, D. (2003). Variable bandwidth QMDPE and its application in robust optic flow estimation. In 9th IEEE International Conference on Computer Vision (ICCV) 2003 Vol. 1 (pp. 178-183). Online: IEEE.
Scopus20 WoS8 |
| 2003 |
Suter, D., Chen, P., & Wang, H. (2003). Extracting motion from images: Robust optic flow and structure from motion. In Proceedings Australia-Japan Advanced Workshop on Computer Vision, Adelaide 2003 (pp. 64-69). Adelaide: CS Press. |
| 2003 |
Wang, H., & Suter, D. (2003). A model-based range image segmentation algorithm using a novel robust estimator. In 3rd International Workshop on Statistical and Computational Theories of Vision - SCTV (in conjunction with ICCV03), Nice, France, Oct. 2003 (pp. 21 pages). Washington: CS Press. |
| 2003 |
Wang, H., & Suter, D. (2003). Color image segmentation using global information and local homogeneity. In International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2003 (pp. 89-98). Sydney: CSIRO Publishing. |
| 2003 |
Wang, H., & Suter, D. (2003). False-peaks-avoiding mean shift method for unsupervised peak-valley sliding image segmentation. In International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2003 (pp. 581-590). Sydney: CSIRO Publishing. |
| 2002 |
Boukir, S., & Suter, D. (2002). Application of rigid motion geometry to film restoration. In R. Kasturi, D. Laurendeau, & C. Suen (Eds.), Proceedings - International Conference on Pattern Recognition Vol. 16 (pp. 360-363). QUEBEC CITY, CANADA: IEEE COMPUTER SOC.
Scopus2 |
| 2002 |
Wang, H., & Suter, D. (2002). LTSD: A Highly Efficient Symmetry-Based Robust Estimator. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 (pp. 332-337).
Scopus4 |
| 2002 |
Wang, H., & Suter, D. (2002). A Novel Robust Method for Large Numbers of Gross Errors. In Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, ICARCV 2002 (pp. 326-331).
Scopus5 |
| 2002 |
David, S., Hamel, T., & Mahony, R. (2002). Visual servo control using homography estimation for the stabilization of an X4-flyer. In Proceedings of the IEEE Conference on Decision and Control Vol. 3 (pp. 2872-2877). LAS VEGAS, NV: IEEE.
Scopus25 WoS12 |
| 2000 |
Tissainayagam, P., & Suter, D. (2000). Visual tracking of multiple objects with automatic motion model switching. In A. Sanfeliu, J. Villanueva, M. Vanrell, R. Alquezar, T. Huang, & J. Serra (Eds.), Proceedings - International Conference on Pattern Recognition Vol. 3 (pp. 1134-1141). BARCELONA, SPAIN: IEEE COMPUTER SOC.
DOI |
| 1998 |
Bab-Hadiashar, A., & Suter, D. (1998). Robust range segmentation. In A. Jain, S. Venkatesh, & B. Lovell (Eds.), FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 (pp. 969-971). BRISBANE, AUSTRALIA: IEEE COMPUTER SOC.
WoS1 |
| 1998 |
Tissainayagam, P., & Suter, D. (1998). Visual tracking and motion determination using the IMM algorithm. In A. K. Jain, S. Venkatesh, & B. C. Lovell (Eds.), FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 (pp. 289-291). BRISBANE, AUSTRALIA: IEEE COMPUTER SOC.
WoS3 |
| 1998 |
Chen, F., & Suter, D. (1998). Image coordinate transformation based on DTV-CURL vector splines. In A. K. Jain, S. Venkatesh, & B. C. Lovell (Eds.), FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 (pp. 518-520). BRISBANE, AUSTRALIA: IEEE COMPUTER SOC.
WoS1 |
| 1998 |
Tissainayagam, P., & Suter, D. (1998). Object Tracking in Image Sequences using Multiple Hypothesis Approach. In Proceedings of the Joint Conference on Information Sciences Vol. 4 (pp. 473-475). |
| 1998 |
Tissainayagam, P., & Suter, D. (1998). Visual Feature Tracking with Automatic Motion Model Switching. In Proceedings of the Joint Conference on Information Sciences Vol. 4 (pp. 322-325).
Scopus3 |
| 1997 |
Chen, F., & Suter, D. (1997). Elastic spline models for human cardiac motion estimation. In Proceedings of the IEEE Nonrigid and Articulated Motion Workshop (pp. 120-127). SAN JUAN, PR: I E E E, COMPUTER SOC PRESS.
DOI Scopus7 WoS10 |
| 1997 |
Bab-Hadiashar, A., & Suter, D. (1997). Optical flow calculation using robust statistics. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 988-993). SAN JUAN, PR: I E E E, COMPUTER SOC PRESS.
DOI Scopus12 WoS5 |
| 1997 |
Bab-Hadiashar, A., & Suter, D. (1997). Robust total least squares based optic flow computation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1351 (pp. 566-573).
DOI Scopus4 |
| 1997 |
Chen, F., & Suter, D. (1997). Multiscale image representation and edge detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1352 (pp. 49-56). |
| 1997 |
Bab-Hadiashar, A., & Suter, D. (1997). Robust motion segmentation using rank ordering estimators. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 1352 (pp. 599-606).
Scopus3 |
| 1996 |
Bab-Hadiashar, A., & Suter, D. (1996). Robust optic flow estimation using least median of squares. In P. Delogne (Ed.), IEEE International Conference on Image Processing Vol. 1 (pp. 513-516). LAUSANNE, SWITZERLAND: I E E E.
Scopus9 WoS3 |
| 1996 |
Richardson, P., & Suter, D. (1996). Restoration of historic film for digital compression: a case study. In IEEE International Conference on Image Processing Vol. 2 (pp. 49-52). WASHINGTON, DC: I E E E, COMPUTER SOC PRESS.
Scopus18 |
| 1995 |
Bab-Hadiashar, A., Suter, D., & Jarvis, R. (1995). 2D motion extraction using an image interpolation technique. In A. Tescher (Ed.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2564 (pp. 271-281). SAN DIEGO, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus3 |
| 1995 |
Wu, Y., & Suter, D. (1995). Historical film processing. In A. Tescher (Ed.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2564 (pp. 289-300). SAN DIEGO, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus8 WoS5 |
| 1995 |
Suter, D. (1995). Divergence-free wavelets made easy. In A. Laine, & M. Unser (Eds.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2569 (pp. 102-113). SAN DIEGO, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus2 WoS1 |
| 1994 |
Suter, D. (1994). Motion estimation and vector splines. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 939-942). SEATTLE, WA: I E E E, COMPUTER SOC PRESS.
Scopus77 WoS59 |
| 1993 |
Suter, D. (1993). Mixed finite elements and Whitney forms for visual reconstruction. In B. Vemuri (Ed.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2031 (pp. 51-62). SAN DIEGO, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus2 WoS1 |
| 1993 |
Suter, D. (1993). Multipole methods for visual reconstruction. In B. Vemuri (Ed.), Proceedings of SPIE - The International Society for Optical Engineering Vol. 2031 (pp. 16-26). SAN DIEGO, CA: SPIE - INT SOC OPTICAL ENGINEERING.
DOI Scopus2 |
| 1991 |
Mansor, D., & Suter, D. (1991). Implementation of visual reconstruction networks--Alternatives to resistive networks. In 1991 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 (pp. 1898-1905). SINGAPORE, SINGAPORE: INST ELECTRICAL ENGINEERS. |
| 1991 |
Suter, D. (1991). Generalization of the Harris 'coupled depth-slope' analog visual reconstruction network. In Proceedings. IJCNN-91-Seattle: International Joint Conference on Neural Networks (pp. 729-739).
Scopus1 |
| 1990 |
Suter, D., & Cohen, H. (1990). Incorporating knowledge via regularization theory: Applications in vision and image processing. In C. BARTER, & M. BROOKS (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 406 LNAI (pp. 379-394). ADELAIDE, AUSTRALIA: SPRINGER-VERLAG BERLIN.
DOI |
| 1988 |
Suter, D., & Deng, X. (1988). Neural net simulation on transputers. In Unknown Conference (pp. 694-697).
Scopus2 |
| 1987 |
Suter, D. (1987). NEURAL NET SURFACE INTERPOLATION.. In Unknown Conference (pp. 118-123). |
