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Dr Ronald Clark
Computer Vision | Machine Learning


About me

Dr Ronald Clark is an Associate Professor in the Department of Computer Science at the University of Oxford where he leads the Perceptual Intelligence and Extended Reality Lab (PIXL). Before this he held an Imperial College Research Fellowship. Prior to that he was a postdoctoral research fellow at the Dyson Robotics Lab.

Research interests

Ronald's research interests lie at the intersection of 3D computer vision and computer graphics. Specifically, his research is focussed on building the necessary algorithmic frameworks to capture faithful 3D representations of the world in realtime. The core aspects include:

  • Better 3D representations (eg. generative models and neural fields)
  • Embedding physics knowledge in the learning process (eg. multi-view geometry, light transport, raycasting)
  • Better optimization techniques for learning and fitting models in realtime
Ronald's research has received various forms of recognition including a CVPR Best Paper Honourable Mention Award.


Ronald has applied his work in a number of application domains - from home robots, to mobile apps. Below are some examples of the capabilities that his research has enabled.

Realtime SLAM
Scene Understanding
Motion Capture


  • Jan 2022 Associate Editor for IROS'22
  • Oct 2021 Co-organizing the 1st Challenge on Large Scale Point-cloud Analysis for Urban Scene Understanding at ICCV'21
  • Jun 2021 Area Chair for BMVC’21
  • Nov 2020 Organizing a tutorial on 3D reconstruction and segmentation at 3DV’2020
  • Oct 2020 Invited talk at MILA/REAL Robot Learning Seminar series
  • Jul 2019 Invited Talk at the BMVA technical meeting on Geometry and Deep Learning.
  • Mar 2019 Our 2nd Workshop on Deep Learning for Visual SLAM will be held at ICCV’19!
  • Dec 2018 Co-organizing the CVPR’19 Workshop on Deep Learning for Visual Semantic Navigation

Awards and Fellowships

  • CVPR Best Paper Honourable Mention Award (2018)
  • Imperial College Research Fellowship (2019)
  • Outstanding Reviewer Award (CVPR'20, CVPR'21, ACCV'20)

Select Talks