37 citations · 90 across the 19 of their papers we have counts for
7 papers · 1 filter
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
Joshua Mitton, Chaitanya Kaul, Roderick Murray-Smith
We develop a rotation equivariant model for generating 3D hand meshes from 2D RGB images. This guarantees that as the input image of a hand is rotated the generated mesh undergoes…
CpT: Convolutional Point Transformer for 3D Point Cloud Processing
Chaitanya Kaul, Joshua Mitton, Hang Dai +1
We present CpT: Convolutional point Transformer - a novel deep learning architecture for dealing with the unstructured nature of 3D point cloud data. CpT is an improvement over exi…
Subgraph Permutation Equivariant Networks
Joshua Mitton, Roderick Murray-Smith
In this work we develop a new method, named Sub-graph Permutation Equivariant Networks (SPEN), which provides a framework for building graph neural networks that operate on sub-gra…
Rotation Equivariant Deforestation Segmentation and Driver Classification
Joshua Mitton, Roderick Murray-Smith
Deforestation has become a significant contributing factor to climate change and, due to this, both classifying the drivers and predicting segmentation maps of deforestation has at…
Adversarial learning of cancer tissue representations
Adalberto Claudio Quiros, Nicolas Coudray, Anna Yeaton +4
Deep learning based analysis of histopathology images shows promise in advancing the understanding of tumor progression, tumor micro-environment, and their underpinning biological…
Survey: Leakage and Privacy at Inference Time
Marija Jegorova, Chaitanya Kaul, Charlie Mayor +4
Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance as commercial and government applications of ML can draw on multiple sources…
A Graph VAE and Graph Transformer Approach to Generating Molecular Graphs
Joshua Mitton, Hans M. Senn, Klaas Wynne +1
We propose a combination of a variational autoencoder and a transformer based model which fully utilises graph convolutional and graph pooling layers to operate directly on graphs.…