Projects per year
Personal profile
Key Research Interests
Pattern recognition and machine learning, colour vision, psychophysics
Academic Background
Michal received his MSc in Telecommunications at the University of Science and Technology (AGH) in Krakow in 2003. That year he joined the School of Computing Sciences (CMP) at the University of East Anglia and began a PhD titled “Wireless capsule endoscopy video analysis”. He has worked as a research assistant on a research project sponsored by Buhler Sortex and later on the EPSRC grant titled “Illuminating Colour Constancy: From Physics to Photography”. In 2014, he became an Independent Research Fellow and in 2016, a Lecturer. Since 2020, he has been an Associate Professor in Computer Science at CMP, UEA.
Michal has been involved in researching areas of colour science, physics based vision, medical imaging and machine learning. He is involved in several ongoing projects, links to which can be found below:
Colour Imaging Pipeline for Orchard Aerial Surveys
JellyMonitor: developing a jellyfish early warning system for coastal power stations
Teaching Interests
I am a module organiser and a lecturer on CMP-6035B/CMP-7026B Computer Vision. In the past, I also taught Architectures and Operating System, Networks and Graphics I modules.
Key Responsibilities
Network
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Digital transition of catch monitoring in European fisheries
Mackiewicz, M. & Gorpincenko, A.
1/01/23 → 31/12/26
Project: Research
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Colour Imaging Pipeline for Orchard Aerial Surveys
Mackiewicz, M. & Zhu, Y.
1/08/20 → 21/05/21
Project: Research
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Colour Imaging Pipeline for Orchard Aerial Surveys
Mackiewicz, M. & Zhu, Y.
1/08/20 → 21/05/21
Project: Research
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Smart Environments Research Facility
Lettice, F., Aung, M. H., Bagnall, T., Buckley, O., Cawley, G., Day, A., De La Iglesia, B., Finlayson, G., Harvey, R., Huber, K., Kulinskaya, E., Laycock, S., Lines, J., Mackiewicz, M., Milner, B., Moulton, V., Parr, G., Ren, E. & Wang, W.
Engineering and Physical Sciences Research Council
10/01/20 → 8/07/22
Project: Research
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Extending Temporal Data Augmentation for Video Action Recognition
Gorpincenko, A. & Mackiewicz, M., 2023, Image and Vision Computing: 37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24–25, 2022, Revised Selected Papers. Springer, p. 104-118 (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Motion stereo at sea: Dense 3D reconstruction from image sequences monitoring conveyor systems on board fishing vessels
Fisher, M., French, G., Gorpincenko, A., Holah, H., Clayton, L., Skirrow, R. & Mackiewicz, M., 7 Feb 2023, In: IET Image Processing. 17, 2, p. 349-361 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Colour augmentation for improved semi-supervised semantic segmentation.
French, G. & Mackiewicz, M., 6 Feb 2022, Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 4). p. 356 - 363 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile6 Downloads (Pure) -
Self-distillation and uncertainty boosting self-supervised monocular depth estimation
Zhou, H., Greenwood, D., Taylor, S. & Mackiewicz, M., Nov 2022, THe 33rd British Machine Vision Conference Proceedings. 14 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Improving automated sonar video analysis to notify about jellyfish blooms
Gorpincenko, A., French, G., Knight, P., Challis, M. & Mackiewicz, M., 15 Feb 2021, In: IEEE Sensors Journal. 21, 4, p. 4981-4988 8 p.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus)