Skip to main content
Dr Jing Wu

Dr Jing Wu


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.

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, IEEE, BMVA, EG
  • HEA Fellowship
We are currently unable to retrieve the list of publications. Visit our institutional repository.

In the 2019/20 academic year, I am involved in the teaching of the following modules:

  • CM1101 Computational Thinking
  • CM1103 Problem Solving with Python
  • CM3203 One Semester Individual Project
  • CMT400 Dissertation

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 am working / have worked on a number of projects in this regard, including:

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

*** EPSRC DTP studentship available *** for research in Visual Simultaneous Localization and Mapping (PhD project starts Oct 2020). Project and application details can be found here. Application deadline: 8 May 2020.

I am interested in supervising PhD students in the areas of:

  • Shape from shading
  • Visual SLAM
  • 3D face modelling
  • Interactive visualization

Current supervision

Njuod Alsudays

Research student

Stefano Zappala

Stefano Zappalà

Research student

Asmail Muftah

Research student

Tao Wang

Research student