Latest News
ERC Starting Grant awarded
Awarded an ERC Starting Grant for the project 'Volute — Visual Omniversal Learning from Universal Teachers'. The grant is worth up to €1.5 million over five years and addresses the shortage of labelled training data for large computer vision models.
Paper accepted at Medical Image Analysis
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Method for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos
Six papers accepted at CVPR'26
Papers accepted: VGGT-Omega, Particulate, Scene-Centric Unsupervised Video Panoptic Segmentation, LagerNVS, LitePT, and SceneScribe-1M
Two papers accepted at ICLR'26
Papers accepted: What Happens Next? and S3OD
Research Interests
My research focuses on computer vision and machine learning, with particular emphasis on unsupervised learning, 3D reconstruction, and visual understanding. I am part of the Visual Geometry Group (VGG) at the University of Oxford.
Primary Areas
- Computer Vision
- Machine Learning
- Artificial Intelligence