12 citations · 18 across the 9 of their papers we have counts for
4 papers · 1 filter
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
Aram Ter-Sarkisov, Eduardo Alonso
In this paper we introduce Local Logo Generative Adversarial Network (LL-GAN) that uses regional features extracted from Faster R-CNN for logo generation. We demonstrate the streng…
Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
Aram Ter-Sarkisov
We introduce a method for transferring style from the logos of heavy metal bands onto corporate logos using a VGG16 network. We establish the contribution of different layers and l…
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
Aram Ter-Sarkisov, Robert Ross, John Kelleher +2
We present an instance segmentation algorithm trained and applied to a CCTV recording of beef cattle during a winter finishing period. A fully convolutional network was transformed…
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis
Aram Ter-Sarkisov, Robert Ross, John Kelleher
This paper introduces a new approach to the long-term tracking of an object in a challenging environment. The object is a cow and the environment is an enclosure in a cowshed. Some…