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Professor David Suter

Professor of Computer Science

Contact Information Telephone: +61 8 6304 6591, Email: d.suter@ecu.edu.au, Campus: Joondalup, Room: JO18.417
Staff Member Details
Telephone: +61 8 6304 6591
Email: d.suter@ecu.edu.au
Campus: Joondalup  
Room: JO18.417  

 

David Suter is a Professor of Computer Science in the School of Science (Computing and Security).  He leads a team carrying out leading research in computer vision and big-data analysis. His special expertise includes robust statistical fitting, computational geometry and machine learning.

Background

  • (Research) Professor of Computer Science, Edith Cowan University, Jan 2018-
  • (Adjunct) Professor of Computer Science, The University of Adelaide, Dec 2017-
  • Professor of Computer Science, The University of Adelaide, 2008-2017
  • Professor of Electrical and Computer Systems Engineering, Monash University, 2006-2008
  • Associate Professor of Electrical and Computer Systems Engineering, Monash University, 2002-2006
  • Senior Lecturer (Electrical and Computer Systems Engineering), Monash University, 1992-2002
  • Lecturer (Computer Science and Computer Engineering), La Trobe University, 1988-1992

Awards and Recognition

National and International Research Positions

  • Member Australian Research Council College of Experts (2008-2011)
  • Editorial Board of “International Journal of Computer Vision” (2004-2013) (currently on the Honorary Editorial Board)
  • Editorial Board “Pattern Recognition” (Aug 2017 – present)
  • Editorial Board of “IPSJ Transactions on Computer Vision and Applications” (2008- 2013)
  • Editorial Board of “Journal of Mathematical Imaging and Vision” (2007-2010)
  • Editorial Board of “Machine Vision and Applications” (2006- 2008)

Research Areas and Interests

  • Computer Vision (Robot Vision)
  • Image Processing
  • Pattern Recognition
  • Big-Data Analysis
  • Robust Statistics
  • Computational Geometry

Qualifications

  • Doctor of Philosophy, La Trobe University, 1991.

Research

Recent Research Grants

  • Processing textual input at a system-wide level to elicit insights into individual user characteristics,  CingleVue Pty Ltd,  Scholarships to Support Industry Engagement PhD Project,  2019 - 2024,  $64,740.
  • Developing a novel deep learning architecture for automatic cardiac arrhythmia detection and classification,  Department of Jobs, Tourism, Science and Innovation,  WA Science Industry PhD Fellowship Program,  2019 - 2021,  $30,000.
  • ECU-Institute Technico Lisboa Collaboration in Artificial Intelligence,  Edith Cowan University,  ECU Collaboration Enhancement Scheme - 2018 Round 1,  2018 - 2019,  $7,672.

Recent Publications (within the last five years)

Journal Articles

  • Xiao, G., Wang, H., Yan, Y., Suter, D., (2019), Superpixel-Guided Two-View Deterministic Geometric Model Fitting. International Journal of Computer Vision, 127(4), 323–339, Kluwer, DOI: 10.1007/s11263-018-1100-8.
  • Wang, H., Xiao, G., Yan, Y., Suter, D., (2019), Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(3), 697-711, IEEE, DOI: 10.1109/TPAMI.2018.2803173.
  • Purkait, P., Chin, T., Sadri, A., Suter, D., (2017), Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(9), 1697-1711, DOI: 10.1109/TPAMI.2016.2614980.
  • Chin, T., Purkait, P., Eriksson, A., Suter, D., (2017), Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(4), 758-772, DOI: 10.1109/TPAMI.2016.2631531.
  • Lai , T., Wang, H., Yan, Y., Xiao, G., Suter, D., (2017), Efficient guided hypothesis generation for multi-structure epipolar geometry estimation. Computer Vision and Image Understanding, 154(Jan), 152-165, DOI: 10.1016/j.cviu.2016.10.003.
  • Tennakoon, R., Bab-Hadiashar, A., Cao, Z., Hoseinnezhad, R., Suter, D., (2016), Robust Model Fitting Using Higher Than Minimal Subset Sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(2), 350-362, DOI: 10.1109/TPAMI.2015.2448103.
  • Bustos, P., Chin, T., Eriksson, A., Li, H., Suter, D., (2016), Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11), 2227-2240, DOI: 10.1109/TPAMI.2016.2517636.
  • Xiao, G., Wang, H., Lai, T., Suter, D., (2016), Hypergraph modelling for geometric model fitting. Pattern Recognition, 60(2016), 748-760, DOI: 10.1016/j.patcog.2016.06.026.
  • Pham, TT., Chin, T., Yu, J., Suter, D., (2014), The random cluster model for robust geometric fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1658-1671, DOI: 10.1109/TPAMI.2013.2296310.
  • Tran, Q., Chin, T., Chojnacki, W., Suter, D., (2014), Sampling minimal subsets with large spans for robust estimation. International Journal of Computer Vision, 106(1), 93-112, DOI: 10.1007/s11263-013-0643-y.
  • Yan, Y., Wang, H., Suter, D., (2014), Multi-subregion based correlation filter bank for robust face recognition. Pattern Recognition, 47(11), 3487-3501, DOI: 10.1016/j.patcog.2014.05.004.
  • Pham, TT., Chin, T., Schindler, K., Suter, D., (2014), Interacting geometric priors for robust multimodel fitting. IEEE Transactions on Image Processing, 23(10), 4601-4610, DOI: 10.1109/TIP.2014.2346025.
  • Yu, J., Eriksson, A., Chin, T., Suter, D., (2014), An adversarial optimization approach to efficient outlier removal. Journal of Mathematical Imaging and Vision, 48(3), 451-466, DOI: 10.1007/s10851-013-0418-7.
  • Zaragoza, J., Chin, T., Tran, Q., Brown, MS., Suter, D., (2014), As-projective-as-possible image stitching with moving DLT. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(7), 1285-1298, DOI: 10.1109/TPAMI.2013.247.

Conference Publications

  • Cai, Z., Chin, T., Le, H., Suter, D., (2018), Deterministic Consensus Maximization with Biconvex Programming. Proceedings European Conference on Computer Vision, 11216(08/09/2018-14/09/2018), 699-714, Cham, Switzerland, Springer, DOI: 10.1007/978-3-030-01258-8_42.
  • Zhang, Q., Chin, T., Suter, D., (2017), Quasiconvex Plane Sweep for Triangulation with Outliers. Proceedings of the IEEE International Conference on Computer Vision, 920-928, IEEE, DOI: 10.1109/ICCV.2017.105.
  • Le, H., Chin, T., Suter, D., (2016), Conformal Surface Alignment with Optimal Mobius Search., 2507-2516, DOI: 10.1109/CVPR.2016.275.
  • Xiao, G., Wang, H., Yan, Y., Suter, D., (2016), Superpixel-based two-view deterministic fitting for multiple-structure data., 517-533, DOI: 10.1007/978-3-319-46466-4_31.
  • Wang, H., Xiao, G., Yan, Y., Suter, D., (2015), Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting., 2902-2910, DOI: 10.1109/ICCV.2015.332.
  • Hadian-Jazi, M., Bab-Hadiashar, A., Hoseinnezhad, R., Suter, D., (2015), Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines., 163-168, DOI: 10.1109/IPTA.2015.7367119.
  • Lin, G., Shen, C., Shi, Q., Van Den Hengel, A., Suter, D., (2014), Fast Supervised Hashing with Decision Trees for High-Dimensional Data., 1971-1978, DOI: 10.1109/CVPR.2014.253.
  • Chin, T., Parra Bustos, A., Brown, M., Suter, D., (2014), Fast rotation search for real-time interactive point cloud registration., 55-62, DOI: 10.1145/2556700.2556712.
  • Bustos, A., Chin, T., Suter, D., (2014), Fast rotation search with stereographic projections for 3D registration., 3930-3937, DOI: 10.1109/CVPR.2014.502.
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