NEWS (12/2017): Our Guest Editorial for IET Image Processing'17 is available now.
NEWS (10/2017): Our paper is accepted by PLOS ONE'17.
NEWS (06/2017): Our paper is accepted by IROS'17.
NEWS (03/2017): Our paper is accepted by Pattern Recognition'17.
NEWS (12/2016): Our team is selected to the finals of MBZIRC challenge. A short demo is here.
NEWS (08/2016): Wenbin has joined Imperial College London as a postdoctoral researcher.
NEWS (08/2016): Our paper is accepted by ACCV'16.
NEWS (07/2016): Our roto paper received great attention in SIGGRAPH'16. And great to see the                               related CODE has been downloaded over 450 times during the conference.
NEWS (07/2016): Our paper is accepted by Neurocomputing'16.
NEWS (06/2016): Our paper is accepted by IEEE Robotics and Automation Letters (RA-L'16).
NEWS (05/2016): Our paper is accepted by IEEE CASE'16.
NEWS (03/2016): Our paper is accepted by SIGGRAPH'16.
NEWS (02/2016): We got two JIFS and two Neurocomputing papers accepted.

Wenbin Li /'wənbɪn.'lɪ/ (李文彬) is currently a Postdoctoral Research Associate working with Stefan Leutenegger and Andrew Davison at Imperial College London. Prior to joining Imperial, Wenbin worked with Gabriel Brostow as a research associate at University College London. He was a PhD candidate of MTRC, University of Bath, supervised by Darren Cosker. He also reveived his MSc degree from Imperial College London and BEng degree from Xidian University, China. His educational background is primarily in joint computer science and mathematics, with a specific formal background in signal processing and massive data analysis.

Capture the Best Shots Possible

Wenbin believes in the power of camera which brings human a rich set of information. Extraction and analysis on such information is the core issue of visual perception. His research interests mainly lie in an end-to-end pipeline for professional capture and mapping including interactive planning, camera localization/control and post-production. Those exiting topics could be broadly relevant to Computer Vision, Graphics, Machine Learning and Human Computer Interaction.

Education and Work Experience

Professional Activities

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