Bio

I am a final-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 also held a Research Fellowship (2023-2025) in collaboration with Dock10, working on machine learning-based video relighting and greenscreen composition. I am a contributor to Nerfstudio and have served as a reviewer for ICCV, SIGGRAPH Asia, CVPR, and BMVC. 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

December 2025
Our paper 'TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video' has been accepted to NeurIPS 2025!
April 2025
Are you tired of context-switching between coding models in PyTorch and paper writing on Overleaf? Well, I've got the fix for you - NeuraLaTeX! An ML library written in pure LaTeX! Published at SIGBOVIK 2025.
October 2023
Awarded a Research Fellowship at the University of York in collaboration with Dock10 to work on machine learning-based greenscreen composition and video relighting.
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

TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
NeurIPS 2025
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