1 code implementation • 18 Nov 2020 • Pablo Pino, Denis Parra, Pablo Messina, Cecilia Besa, Sergio Uribe
Several deep learning architectures have been proposed over the last years to deal with the problem of generating a written report given an imaging exam as input.
no code implementations • 20 Oct 2020 • Pablo Messina, Pablo Pino, Denis Parra, Alvaro Soto, Cecilia Besa, Sergio Uribe, Marcelo andía, Cristian Tejos, Claudia Prieto, Daniel Capurro
Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods.
1 code implementation • 9 Sep 2020 • Pablo Messina, Manuel Cartagena, Patricio Cerda-Mardini, Felipe del Rio, Denis Parra
Although there are several visually-aware recommendation models in domains like fashion or even movies, the art domain lacks thesame level of research attention, despite the recent growth of the online artwork market.
no code implementations • 25 Jul 2018 • Felipe del Rio, Pablo Messina, Vicente Dominguez, Denis Parra
Our results indicate that models with better performance in the ImageNet challenge do not always imply better transfer learning for recommendation tasks (e. g. NASNet vs. ResNet).
no code implementations • 22 Jun 2017 • Vicente Dominguez, Pablo Messina, Denis Parra, Domingo Mery, Christoph Trattner, Alvaro Soto
Advances in image processing and computer vision in the latest years have brought about the use of visual features in artwork recommendation.
no code implementations • 19 Jun 2017 • Pablo Messina, Vicente Dominguez, Denis Parra, Christoph Trattner, Alvaro Soto
Compared to other areas, artwork recommendation has received little attention, despite the continuous growth of the artwork market.