151 citations · 561 across the 38 of their papers we have counts for
5 papers · 1 filter
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
Jameson Merkow, Robert Lufkin, Kim Nguyen +3
We describe a system to automatically filter clinically significant findings from computerized tomography (CT) head scans, operating at performance levels exceeding that of practic…
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
Sébastien Ehrhardt, Aron Monszpart, Andrea Vedaldi +1
While the basic laws of Newtonian mechanics are well understood, explaining a physical scenario still requires manually modeling the problem with suitable equations and associated…
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, Andrea Vedaldi
One of the key challenges of visual perception is to extract abstract models of 3D objects and object categories from visual measurements, which are affected by complex nuisance fa…
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
There is a growing interest in learning data representations that work well for many different types of problems and data. In this paper, we look in particular at the task of learn…
Learning A Physical Long-term Predictor
Sebastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1
Evolution has resulted in highly developed abilities in many natural intelligences to quickly and accurately predict mechanical phenomena. Humans have successfully developed laws o…