no code implementations • 20 Jan 2022 • Daniela Mihai, Jonathon Hare
Physical sketches are created by learning programs to control a drawing robot.
no code implementations • NeurIPS Workshop SVRHM 2021 • Daniela Mihai, Jonathon Hare
We present an investigation into how representational losses can affect the drawings produced by artificial agents playing a communication game.
1 code implementation • NeurIPS 2021 • Daniela Mihai, Jonathon Hare
Evidence that visual communication preceded written language and provided a basis for it goes back to prehistory, in forms such as cave and rock paintings depicting traces of our distant ancestors.
1 code implementation • 30 Mar 2021 • Daniela Mihai, Jonathon Hare
We present a bottom-up differentiable relaxation of the process of drawing points, lines and curves into a pixel raster.
no code implementations • 25 Jan 2021 • Daniela Mihai, Jonathon Hare
The majority of work has focused on using fixed, pretrained image feature extraction networks which potentially bias the information the agents learn to communicate.
no code implementations • NeurIPS Workshop SVRHM 2020 • Ethan Harris, Daniela Mihai, Jonathon Hare
Primate visual systems are well known to exhibit varying degrees of bottlenecks in the early visual pathway.
1 code implementation • 6 Oct 2020 • Ethan Harris, Daniela Mihai, Jonathon Hare
The colour tuning data can further be used to form a rich understanding of how colour is encoded by a network.
no code implementations • 13 Nov 2019 • Daniela Mihai, Jonathon Hare
There has been an increasing interest in the area of emergent communication between agents which learn to play referential signalling games with realistic images.
1 code implementation • 14 Oct 2019 • Ethan Harris, Daniela Mihai, Jonathon Hare
Colour vision has long fascinated scientists, who have sought to understand both the physiology of the mechanics of colour vision and the psychophysics of colour perception.