About me

I am an Associate Professor in the Department of Computer Science at the University of Oxford. Before this I held an Imperial College Research Fellowship and served as principal investigator for my project on Machine Learning for Light Field Capture and Rendering. Prior to that I was a postdoctoral research fellow at the Dyson Robotics Lab.

Research interests

My research interests lie at the intersection of 3D computer vision and computer graphics. Specifically, my research is focussed on building the necessary algorithmic frameworks to capture faithful 3D representations of the world in realtime. To achieve this, I am interested in three aspects:

• 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

Demos

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 Capture

Updates

• 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