activity
20172020
most citedGenerating Diverse and Meaningful Captions

16 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Language-Driven Region Pointer Advancement for Controllable Image Captioning

Annika Lindh, Robert J. Ross, John D. Kelleher

Controllable Image Captioning is a recent sub-field in the multi-modal task of Image Captioning wherein constraints are placed on which regions in an image should be described in t…

cs.CV201816 cited

Generating Diverse and Meaningful Captions

Annika Lindh, Robert J. Ross, Abhijit Mahalunkar +2

Image Captioning is a task that requires models to acquire a multi-modal understanding of the world and to express this understanding in natural language text. While the state-of-t…

cs.CL2018

Exploring the Use of Attention within an Neural Machine Translation Decoder States to Translate Idioms

Giancarlo D. Salton, Robert J. Ross, John D. Kelleher

Idioms pose problems to almost all Machine Translation systems. This type of language is very frequent in day-to-day language use and cannot be simply ignored. The recent interest…

cs.CV2018

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…

cs.CV20171 cited

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…