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.
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.
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.
Two tree-based methods for the waterfall
Golodetz SM. et al, (2014), Pattern Recognition, 47, 3276 - 3292
Automatic Spine Identification in Abdominal CT Slices using Image Partition Forests
Golodetz S. et al, (2009), 2009 PROCEEDINGS OF 6TH INTERNATIONAL SYMPOSIUM ON IMAGE AND SIGNAL PROCESSING AND ANALYSIS (ISPA 2009), 121 - 126
Region analysis of abdominal CT scans using image partition forests
Golodetz S. et al, (2008), Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology - CSTST '08
Simpler editing of graph-based segmentation hierarchies using zipping algorithms
Golodetz S. et al, (2017), Pattern Recognition, 70, 44 - 59
On-the-Fly Adaptation of Regression Forests for Online Camera Relocalisation
Cavallari T. et al, (2017), 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Straight to Shapes: Real-Time Detection of Encoded Shapes
Jetley S. et al, (2017), 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Struck: Structured Output Tracking with Kernels
Hare S. et al, (2016), IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 2096 - 2109
Staple: Complementary Learners for Real-Time Tracking
Bertinetto L. et al, (2016), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)