Oliver Camilleri Computer Vision, Graphics, and Data-Driven Astronomy

Research and Background

I am currently a part-time postgraduate research student at the University of Surrey, UK. After obtaining my MPhys in 2021 with a thesis on applying unsupervised machine learning to the study of galaxy spectra, I joined the Centre for Vision, Speech and Signal Processing (CVSSP). My research now lies at the intersection of computer vision, graphics, and artificial intelligence. Specifically, I am interested in learning algorithms that build decomposable, object-centric representations of 3D environments. In addition, I continue to possess a strong interest in data-driven astronomy and maintain collaborative ties in this field.

Alongside my research, I serve as an associate teaching assistant, leading the online delivery of several postgraduate courses within the Surrey Institute for People-Centred AI (PAI).

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Publications

Emergent Denoising of SDSS Galaxy Spectra Through Unsupervised Deep Learning (Submitted to MNRAS for Review)

Clonoxels: Exploiting Repetitive Structures for Efficient View Synthesis (Short Paper Accepted at CVMP 2025)

ForecasterFlexOBM: A Multi-View Audio-Visual Dataset for Flexible Object-Based Media Production