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Dr Ronald Clark
Research Fellow


I currently hold an Imperial College Research Fellowship and serve as the principal investigator for my project on Machine Learning for Light Field Capture and Rendering. Prior to this I was a postdoctoral research fellow at the Dyson Robotics Lab. I did my PhD at the University of Oxford where I held an EPSRC scholarship. I got my MSc in Electrical Engineering from the University of the Witwatersrand in South Africa.


Our world is inherently 3D, yet most of computer vision has (and is still) focussed on simple 2D tasks. I believe that any intelligent system that can robustly understand, interact and analyse the real world, will need to build and maintain native 3D representations that change and update over time. My research is currently focussed on building the necessary algorithmic frameworks to enable computers to understand geometry, light and motion. To achieve this, I am interested in three main aspects:

  • generative models for learning compact and interpretable representations
  • informative priors (physical, geometric, learned) for reliable inference
  • optimization techniques for inference and adaptation


My research has been applied in a number of application domains - from home robots, to mobile apps. Below are some examples of the capabilities that my reserach has enabled.

Realtime SLAM
Scene Understanding
Motion Analysis


  • 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)

Recent Talks