no code implementations • 26 May 2017 • Y Qian, P Giaccone, M Sasdelli, E Vasquez, B Sengupta
In this paper we detail Cortexica's (https://www. cortexica. com) recommendation framework -- particularly, we describe how a hybrid visual recommender system can be created by combining conditional random fields for segmentation and deep neural networks for object localisation and feature representation.
no code implementations • 18 Mar 2017 • B Sengupta, E Vasquez, Y Qian
Learning an encoding of feature vectors in terms of an over-complete dictionary or a information geometric (Fisher vectors) construct is wide-spread in statistical signal processing and computer vision.
no code implementations • 7 Mar 2017 • B Sengupta, E Vazquez, M Sasdelli, Y Qian, M Peniak, L Netherton, G Delfino
With the advent of specialized hardware such as Graphics Processing Units (GPUs), large scale image localization, classification and retrieval have seen increased prevalence.
no code implementations • 21 Feb 2017 • Y Qian, E Vazquez, B Sengupta
In this paper, we compare distance metrics (and divergences) to rank features generated from a neural network, for content-based image retrieval.