Contact information
Websites
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OcuLab - Vision, Cognition, Eye Movements and Augmentation
Research Group
golodetz-CIMI08.pdf
- golodetz-CIMI08.pdf
- PDF document 477.3 KB
golodetz-ISPA09.pdf
- golodetz-ISPA09.pdf
- PDF document 716.8 KB
golodetz-HSI09.pdf
- golodetz-HSI09.pdf
- PDF document 230.0 KB
navmesharticle.pdf
- navmesharticle.pdf
- PDF document 921.0 KB
onionbsparticle.pdf
- onionbsparticle.pdf
- PDF document 614.8 KB
Qualifications and Awards
- 2011 D.Phil. in Computer Science.
- 2009 Best Paper Award in Telemedicine and e-Health Section, HSI 2009.
- 2008 Professor Yasuhiko Dote Award for Best Workshop Paper, CSTST 2008.
- 2006 Hoare Prize for Computer Science.
Stuart Golodetz
MA (Oxon.), DPhil
Postdoctoral Research Associate
- Stipendiary Lecturer in Computer Science (Hertford)
- Research Member (Wolfson)
Research and Development Summary
My current role (which commenced in November 2013) is focused on object detection and tracking as part of Stephen Hicks' smart glasses project, and straddles the divide between research and development. Initial work has focused on the real-time detection of planar objects such as hospital signs using template-matching techniques based on the LINE-2D approach of Hinterstoisser et al.
Biography
Stuart Golodetz obtained his DPhil in Computer Science at the University of Oxford in 2011, working on 3D image segmentation and feature identification. He then spent two interesting years in industry, working for SunGard in the area of credit risk management and for Semmle in the areas of logic programming and software analytics. He is currently working as a Research Associate in the Nuffield Department of Clinical Neurosciences at the University of Oxford. His areas of interest include object detection and tracking, medical image analysis, computer games development and the intricacies of different programming languages, especially C++. He was a session chair for the 6th International Symposium on Image and Signal Processing and Analysis, ISPA 2009. He is a member of the Association of C and C++ Users (ACCU) and has written a variety of articles for their magazines.
Key publications
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Two tree-based methods for the waterfall
Journal article
Golodetz SM. et al, (2014), Pattern Recognition, 47, 3276 - 3292
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Automatic spine identification in abdominal CT slices using image partition forests
Conference paper
Golodetz S. et al, (2009), ISPA 2009 - Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis, 121 - 126
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Region analysis of abdominal CT scans using image partition forests
Conference paper
Golodetz S. et al, (2008), 5th International Conference on Soft Computing as Transdisciplinary Science and Technology, CSTST '08 - Proceedings, 432 - 437
Recent publications
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On-the-fly adaptation of regression forests for online camera relocalisation
Conference paper
Cavallari T. et al, (2017), Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017-January, 218 - 227
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Simpler editing of graph-based segmentation hierarchies using zipping algorithms
Journal article
Golodetz S. et al, (2017), Pattern Recognition, 70, 44 - 59
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Struck: Structured Output Tracking with Kernels.
Journal article
Hare S. et al, (2016), IEEE Trans Pattern Anal Mach Intell, 38, 2096 - 2109
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The Thermal Infrared Visual Object Tracking VOT-TIR2015 Challenge Results
Conference paper
Felsberg M. et al, (2016), Proceedings of the IEEE International Conference on Computer Vision, 2016-February, 639 - 651
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Staple: Complementary learners for real-time tracking
Journal article
Bertinetto L. et al, (2016), Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2016-January, 1401 - 1409