Email: sim DOT mcjones AT gmail
Welcome to my academic webpage - you can find the following sections below.
[2014/05/23] - Overdue update to the "About Me" section of the website
[2014/06/06] - Video spotlight available for Unsupervised Spectral Dual Clustering
[2014/04/17] - Camera ready editions of CVPR papers available below.
[2014/03/11] - The code for my CVPR papers is now linked and updated below. Usage instructions included with both.
[2014/03/08] - My 2 submitted papers have been accepted to CVPR 2014 - 1 oral and
1 poster. See you in Columbus!
[2014/03/07] - Academic webpage created.
I am currently an R&D Engineer at Oxehealth in Oxford. Prior to that, I was an algorithm developer at Hawk-Eye Innovations, working primarily on visual tracking for tennis and other sports.
From 2010 to 2014, I was a PhD student at The University of Sheffield (2010-2014), studying Human Action Analysis in the Department of Electronic
and Electrical Engineering under the supervision of Dr.
Ling Shao. The title of my thesis was Unsupervised
and Semi-supervised Methods for Human Action Analysis. During my
undergraduate years (2004-2008) I studied Artificial
Intelligence and Software Engineering at The University of
Edinburgh, and did my undergraduate dissertation under the supervision of Dr. Hiroshi Shimodaira.
In between my studies I have worked at Data Connection (now known as Metaswitch
Networks) and Barclays Capital (now known as Barclays
Investment Bank) during which time I've developed a strong interest in many programming languages, including C/C++, Java, C#, Python, Perl and MATLAB.
Outside of work, I enjoy various hobbies, including learning Chinese,
various personal programming projects (currently investigating self-learning robotics using deep learning and reinforcement learning),
running and cooking.
During the course of my Ph.D., I have been primarily interested in
learning from unlabeled data, and how such techniques can be applied in
the context of human action analysis. This has prompted me to explore
topics such as information retrieval,
video segmentation, clustering
and manifold learning, all
of which are presented in my final thesis.
More generally, I am also interested in more general machine learning
topics, such as deep learning, and am strongly interested in Artificial
General Intelligence (AGI), as exemplified in the OpenCog
Simon Jones and Ling Shao,
"Unsupervised Spectral Dual Assignment Clustering of Human Actions in
Context," Accepted for presentation at
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus,
[Oral Presentation - Acceptance Rate: 5.75%]
Simon Jones and Ling Shao, "A
Multigraph Representation for Improved Unsupervised/Semi-supervised Learning
of Human Actions," Accepted for
presentation at IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Columbus, USA, 2014
[Multigraph code (Works on Linux only!)]
Simon Jones and Ling Shao, "Linear
Regression Motion Analysis for Unsupervised Temporal Segmentation of Human
Actions," Accepted for presentation
at IEEE Winter Conference on Applications of Computer Vision (WACV),
Steamboat Springs, USA, 2014
Jun Tang, Ling Shao and Simon Jones,
Pattern Matching Based on Line Graph Spectral Context and Descriptor
Embedding," Accepted for
presentation at IEEE Winter Conference on Applications of Computer Vision
(WACV), Steamboat Springs, USA, 2014
Simon Jones, Ling Shao and Kairan
Learning for Human Action Retrieval Using Query Pool Selection," Neurocomputing, Vol. 124, pp89--96,
Ling Shao and Simon Jones, "Efficient
Search and Localisation of Human Actions in Video Databases,"
Transactions on Systems and Circuits for Video Technology
(TCSVT), vol. 24, no. 3, pp. 504-512, Mar. 2014
Simon Jones and Ling Shao, "Rapid
Localisation and Retrieval of Human Actions with Relevance Feedback,''
International Conference on Computer
Analysis of Images and Patterns (CAIP), York, UK, 2013
Simon Jones and Ling Shao, "Content-based
Retrieval of Human Actions from Realistic Video Databases," Information
Sciences, Vol. 236, pp56--65, 2012.
Simon Jones and Ling Shao, "Action
Retrieval with Relevance Feedback on YouTube Videos," Proceedings
of International Conference on Internet Multimedia Computing and Service
(ICIMCS), Chengdu, China, 2011.
Simon Jones, Ling Shao, Jianguo
Zhang, and Yan Liu, "Relevance
Feedback for Real-world Human Action Retrieval," Pattern
Recognition Letters, Vol. 33, Issue 4, pp446-452, 2011.