Search Results for author: Daniela Mihai

Found 9 papers, 4 papers with code

Physically Embodied Deep Image Optimisation

no code implementations20 Jan 2022 Daniela Mihai, Jonathon Hare

Physical sketches are created by learning programs to control a drawing robot.

Shared Visual Representations of Drawing for Communication: How do different biases affect human interpretability and intent?

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.

Learning to Draw: Emergent Communication through Sketching

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.


Differentiable Drawing and Sketching

1 code implementation30 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.

Drawing Pictures

The emergence of visual semantics through communication games

no code implementations25 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.

Anatomically Constrained ResNets Exhibit Opponent Receptive Fields; So What?

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.

How Convolutional Neural Network Architecture Biases Learned Opponency and Colour Tuning

1 code implementation6 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.

Avoiding hashing and encouraging visual semantics in referential emergent language games

no code implementations13 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.

Spatial and Colour Opponency in Anatomically Constrained Deep Networks

1 code implementation14 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.

Cannot find the paper you are looking for? You can Submit a new open access paper.