12 citations · 12 across the 4 of their papers we have counts for
4 papers
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
Samuel J. Baker, Michael A. Hobley, Isabel Scherl +3
We present EngineBench, the first machine learning (ML) oriented database to use high quality experimental data for the study of turbulent flows inside combustion machinery. Prior…
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting
Michael A. Hobley, Victor A. Prisacariu
Class-agnostic counting methods enumerate objects of an arbitrary class, providing tremendous utility in many fields. Prior works have limited usefulness as they require either a s…
DMS: Differentiable Mean Shift for Dataset Agnostic Task Specific Clustering Using Side Information
Michael A. Hobley, Victor A. Prisacariu
We present a novel approach, in which we learn to cluster data directly from side information, in the form of a small set of pairwise examples. Unlike previous methods, with or wit…
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael Hobley, Victor Prisacariu
Current class-agnostic counting methods can generalise to unseen classes but usually require reference images to define the type of object to be counted, as well as instance annota…