Dr Jing Wu

Dr Jing Wu

Lecturer

School of Computer Science and Informatics

Available for postgraduate supervision

I am a lecturer in the School of Computer Science and Informatics at Cardiff University, and a member of the Visual Computing research group. I received PhD from the University of York, United Kingdom, with thesis on statistical approaches to gender classification in the surface normal domain. I received MSc and BSc in Computer Science from Nanjing University, China.

My research interests lie in the area of 3D visual reconstruction and its application, such as face recognition, bas-relief modelling. I currently have particular interests in image-based high resolution surface reconstruction, 3D face reconstruction and transformation, and visual SLAM, and looking into interdisciplinary applications in engineering and medicine.

More information can be found on my personal webpage.

Education and qualifications

  • 2009: PhD (Computer Science), University of York, York, UK
  • 2005: MSc (Computer Science and Technology), Nanjing University, Nanjing, China
  • 2002: BSc (Computer Science and Technology), Nanjing University, Nanjing, China

Career overview

  • 2016 - present: Lecturer, School of Computer Science and Informatics, Cardiff University
  • 2009 - 2016: Research Associate, School of Computer Science and Informatics, Cardiff University

Honours and awards

  • TAROS Best Paper Award, 2018
  • BMVC Best Security Paper Prize, 2007
  • Overseas Research Students Awards Scheme (ORSAS), UK, 2005 - 2008

Professional memberships

  • Member of ACM

2018

2017

2016

2014

2013

2012

  • Zhang, L., Hancock, E. R. and Wu, J. 2012. Estimating surface characteristics and extracting features from polarisation. Presented at: Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012 Presented at Gimel'farb, G. et al. eds.Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshop, SSPR & SPR 2012, Hiroshima, Japan, November 7-9, 2012, Proceedings.. Lecture Notes in Computer Science Vol. 7626. Springer Berlin Heidelberg: Springer pp. 400-408., (10.1007/978-3-642-34166-3_44)

2011

2010

2009

2008

2007

2006

In the 2018/19 academic year, I am involved in the teaching of the following modules:

  • CM1101 Computational Thinking (shared with Dr Kirill Sidorov)
  • CM1103 Problem Solving with Python (shared with Prof Stuart Allen and Dr Matthew Morgan)

I also supervise undergraduate and MSc projects.

My main research interest is image-based 3D reconstruction. To reconstruct 3D information from 2D is a low-level vision problem, and assists many mid- and high-level vision tasks, such as segmentation, tracking, recognition, etc. and also has applications in computer graphics. I have worked on a number of projects in this regard, including:

  • SFS in facial gender classification, which proposed a shape-from-shading (SFS) based representation that can implicitly encode both the 2D texture and the 3D shape information to improve facial gender classification using either information alone.
  • Generating bas-reliefs from face photographs, which developed a framework combining techniques of machine learning, SFS, photometric stereo, and non-photorealistic rendering etc. to tackle the problem of bas-relief generation from a single input face image. It is part of a RIVIC (The Welsh Research Institute of Visual Computing) scienfic programme - Vision-based Geometric Modelling.
  • Realistic SFS with user interaction, which developed an interactive framework to tackle intrinsic problems of SFS, and combined heuristic search to improve the intuitiveness of user interaction. It is an EPSRC project.

I currently have particular interests in image-based high resolution surface reconstruction, 3D face reconstruction and transformation, and visual SLAM. Following is a list of on-going projects (successful funding applications):

  • Apr 2018 - Mar 2019, Pushing the boundary of vision-based 3D surface imaging, Renishaw and Cardiff University Strategic Fund, Co-Investigator.
  • Apr 2018 - Apr 2020, Learning-based and 3D assisted caricaturization of multi-modal portraits, Travel fund to visit Nanjing University.