Bio

I am a third-year PhD student at The University of York, supervised by Dr William Smith. My research focuses on neural-based vision and language priors in inverse rendering and scene representation learning. I'm particularly interested in neural fields, generative models, 3D computer vision, differentiable rendering, geometric deep learning and multi-modal models. I hold an MEng in Electronic Engineering from The University of York, for which I was awarded the IET Prize for outstanding performance and the Malden Owen Award for the best graduating student on an MEng programme.

News

September 2022
Our paper 'Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior' has been accepted to NeurIPS 2022!!
August 2022
I will be joining Dr Stephan Liwicki's research group at Toshiba, Cambridge, over the summer to work on SLAM applications of implicit neural representations.

Publications

The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility
ECCV 2024
RENI++: A Rotation-Equivariant, Scale-Invariant, Natural Illumination Prior
arXiv 2023
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior
NeurIPS 2022
Development of a Modular Bio-Inspired Autonomous Underwater Vehicle for Close Subsea Asset Inspection
MDPI Applied Sciences
Wael Gorma, Mark A Post, James White, James Gardner, Yang Luo, Jongrae Kim, Paul D Mitchell, Nils Morozs, Marvin Wright, Qing Xiao

Education

  • PhD in Computer Vision and Machine Learning, 2025

    University of York

  • MEng Electronic Engineering, 2021

    University of York