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Dr Jing Wu

Dr Jing Wu


+44 (0)2920 688810
Room 2.08, Abacws, Senghennydd Road, Cathays, Cardiff, CF24 4AG
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 section. My research interests lie in the area of 3D reconstruction, visual understanding, and visual analytics. I am currently working on semantic segmentation, visual SLAM, and researching into visual analysis tools for explainable machine learning in computer vision.

Before becoming a lecturer, I was a postdoc in the school and worked on two projects: bas-relief generation (RIVIC), and realistic shape from shading (EPSRC). 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. 


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: Postdoctoral 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
  • HEA Fellowship

Committees and reviewing













  • 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)









  • CM1103 Problem Solving with Python
  • CMT107 Visual Computing


  • CM1101 Computational Thinking
  • CM1103 Problem Solving with Python


  • CM1103 Problem Solving with Python
  • CMT202 Distributed and Cloud Computing

Research projects I am working / have worked on:

  • Reflection Aware Visual Simultaneous Localization and Mapping (RA-vSLAM), Main Supervisor, EPSRC DTP. Oct 2020 - Mar 2024
  • Study of style transfer based and 3D assisted caricature generation techniques, PI, Travel fund to visit Nanjing University. June 2020 - June 2022.
  • 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. Research Associate, EPSRC. July 2013 - July 2016.
  • Generating bas-reliefs from face photographs, which developed a framework combining techniques of machine learning, SFS, photometric stereo, and non-photorealistic rendering 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) scientific programme - Vision-based Geometric Modelling. Research Associate. Sep 2009 - June 2013.
  • 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. PhD. Oct 2005 - Sep 2009.


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

  • Visual SLAM
  • Semantic Segmentation
  • Shape from Shading
  • Visual Analytics

For funding opportunities, entry requirements, and online applications, please check:

Computer Science and Informatics - Study - Cardiff University

Past projects