Zygmunt Szpak

Research Interests

Artificial Intelligence & Image Processing Computer Vision Pattern Recognition and Data Mining

Mr Zygmunt Szpak

Office of Engineering and Information Technology

College of Engineering and Information Technology

I'm a computer scientist and senior research associate in the School of Computer Science at the University of Adelaide, South Australia. I work in the Australian Institute for Machine Learning on numerous industry-inspired computer vision and machine learning problems.

When I am not engaged in a concrete industry project, my primary research endeavours are devoted to problems in projective parameter estimation, in the context of multiple-view geometry. The statistical estimation problems that I am interested in fall under the banner of non-linear errors-in-variables models.

You can find out more about my research themes here: https://zygmuntszpak.github.io/

Date Position Institution name
2013 - ongoing Senior Research Associate The University of Adelaide

Language Competency
Afrikaans Can speak
English Can read, write, speak and peer review
German Can read, write, speak and peer review
Polish Can read and speak

Date Institution name Country Title
The University of Adelaide Australia PhD Computer Science
The University of KwaZulu-Natal South Africa MSc Computer Science (Cum Laude)
The University of KwaZulu-Natal South Africa Bachelor of Science Honours Computer Science (Summa Cum Laude)

Year Citation
2023 Cebulla, A., Szpak, Z., & Knight, G. (2023). Preparing to work with artificial intelligence: assessing WHS when using AI in the workplace. International Journal of Workplace Health Management, 16(4), 294-312.
DOI Scopus29 WoS12
2022 Cebulla, A., Szpak, Z., Howell, C., Knight, G., & Hussain, S. (2022). Applying ethics to AI in the workplace: the design of a scorecard for Australian workplace health and safety.. AI Soc, 38(2), 919-935.
DOI Scopus41 WoS24 Europe PMC5
2021 Kuang, B., Pena, G., Szpak, Z., Edwards, S., Battersby, R., Cowled, P., . . . Fitridge, R. (2021). Assessment of a smartphone-based application for diabetic foot ulcer measurement.. Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society, 29(3), 6 pages.
DOI Scopus23 WoS20 Europe PMC16
2020 Pena, G., Kuang, B., Szpak, Z., Cowled, P., Dawson, J., & Fitridge, R. (2020). Evaluation of a Novel Three-Dimensional Wound Measurement Device for Assessment of Diabetic Foot Ulcers. ADVANCES IN WOUND CARE, 9(11), 9 pages.
DOI Scopus20 WoS18 Europe PMC14
2020 Chojnacki, W., Szpak, Z. L., & Wadenbäck, M. (2020). The equivalence of two definitions of compatible homography matrices. Pattern Recognition Letters, 135, 38-43.
DOI Scopus3 WoS2
2019 Chojnacki, W., & Szpak, Z. L. (2019). Determining ellipses from low-resolution images with a comprehensive image formation model. Journal of the Optical Society of America A, 36(2), 212-233.
DOI Scopus2 WoS2
2015 Chojnacki, W., Szpak, Z., Brooks, M., & van Den Hengel, A. (2015). Enforcing consistency constraints in uncalibrated multiple homography estimation using latent variables. Machine Vision and Applications, 26(2-3), 401-422.
DOI Scopus5 WoS4
2015 Szpak, Z., Chojnacki, W., & van den Hengel, A. (2015). Guaranteed ellipse fitting with a confidence region and an uncertainty measure for centre, axes, and orientation. Journal of Mathematical Imaging and Vision, 52(2), 173-199.
DOI Scopus43 WoS40
2014 Szpak, Z., Chojnacki, W., Eriksson, A., & van den Hengel, A. (2014). Sampson distance based joint estimation of multiple homographies with uncalibrated cameras. Computer Vision and Image Understanding, 125, 200-213.
DOI Scopus21 WoS17
2011 Szpak, Z., & Tapamo, J. (2011). Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set. Expert Systems with Applications, 38(6), 6669-6680.
DOI Scopus86 WoS73
2008 Szpak, Z. L., & Tapamo, J. -R. (2008). Automatic and interactive retinal vessel segmentation.. South Afr. Comput. J., 40, 23-30.

Year Citation
2023 Cebulla, A., & Szpak, Z. (2023). Workplace Relations with AI in Mind: What Is Likely to Change?. In Future of Work and Technology Global Trends Challenges and Policies with an Australian Perspective (pp. 151-172). Chapman and Hall/CRC.
DOI Scopus1

Year Citation
2019 Chojnacki, W., & Szpak, Z. L. (2019). Full explicit consistency constraints in uncalibrated multiple homography estimation. In Proceedings of the 14th Asian Conference on Computer Vision (ACCV 2018), as published in Lecture Notes in Computer Science Vol. 11361 (pp. 659-675). Cham, Switzerland: Springer.
DOI Scopus1
2015 Szpak, Z., Chojnacki, W., & Van Den Hengel, A. (2015). Robust multiple homography estimation: an ill-solved problem. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 2132-2141). Boston, MA: IEEE.
DOI Scopus17 WoS14
2015 Faulkner, H., Shehu, E., Szpak, Z., Chojnacki, W., Tapamo, J., Dick, A., & Van Den Hengel, A. (2015). A study of the region covariance descriptor: impact of feature selection and image transformations. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). Adelaide, SA.: IEEE.
DOI Scopus6
2014 Ponte, G., Szpak, Z., Woolley, J., & Searson, D. (2014). Using specialised cyclist detection software to count cyclists and determine cyclist travel speed from video. In Proceedings of the 2014 Australasian Road Safety Research, Policing & Education Conference (pp. 1-13). Melbourne, Vic: ACRS.
2012 Szpak, Z., Chojnacki, W., & Van Den Hengel, A. (2012). A comparison of ellipse fitting methods and implications for multiple-view geometry estimation. In Proceedings of Digital Image Computing Techniques and Applications, DICTA 2012 (pp. 1-8). USA: IEEE.
DOI Scopus12
2012 Szpak, Z., Chojnacki, W., & Van Den Hengel, A. (2012). Guaranteed ellipse fitting with the Sampson distance. In Proceedings of the12th European Conference on Computer Vision, ECCV 2012 Vol. 7576 LNCS (pp. 87-100). Germany: Springer-Verlag.
DOI Scopus44 WoS34
2010 Chojnacki, W., Szpak, Z., Brooks, M., & Van Den Hengel, A. (2010). Multiple homography estimation with full consistency constraints. In Proceedings of DICTA 2010 (pp. 480-485). USA: IEEE.
DOI Scopus10
2009 Szpak, Z. L., Tapamo, J. R., & Roy-Aikins, J. (2009). Design and implementation of an interactive interface for power plant simulation. In J. Otamendi, A. Bargiela, J. L. Montes, & L. M. D. Pedrera (Eds.), Proceedings 23rd European Conference on Modelling and Simulation Ecms 2009 (pp. 768-775). Rey Juan Carlos Univ, Madrid, SPAIN: EUROPEAN COUNCIL MODELLING & SIMULATION.

Z. Szpak, W. Chojnacki  “Target Recognition and Measurement at the Limits of Resolution”,   AUD 100k   Defence Science Technology Organisation, 2017

Z. Szpak, W. Chojnacki  “Parameter Estimation at the Limits of Resolution”,   AUD 78k   Defence Science Technology Organisation, 2016

Z. Szpak, J. Mackenzie  “Sharing the knowledge required to successfully utilise object detection software for use in future research opportunities”,   AUD 20k   ECMS Faculty, Adelaide University, 2016

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