334 citations · 1.3k across the 54 of their papers we have counts for
7 papers · 1 filter
Saliency Weighted Convolutional Features for Instance Search
Eva Mohedano, Kevin McGuinness, Xavier Giro-i-Nieto +1
This work explores attention models to weight the contribution of local convolutional representations for the instance search task. We present a retrieval framework based on bags o…
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting
Mark Marsden, Kevin McGuinness, Suzanne Little +2
In this paper we propose a technique to adapt a convolutional neural network (CNN) based object counter to additional visual domains and object types while still preserving the ori…
SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
Marc Assens, Kevin McGuinness, Xavier Giro-i-Nieto +1
We introduce SaltiNet, a deep neural network for scanpath prediction trained on 360-degree images. The model is based on a temporal-aware novel representation of saliency informati…
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level Classification
Mark Marsden, Kevin McGuinness, Suzanne Little +1
In this paper we propose ResnetCrowd, a deep residual architecture for simultaneous crowd counting, violent behaviour detection and crowd density level classification. To train and…
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
Joseph Antony, Kevin McGuinness, Kieran Moran +1
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, aut…
Fully Convolutional Crowd Counting On Highly Congested Scenes
Mark Marsden, Kevin McGuinness, Suzanne Little +1
In this paper we advance the state-of-the-art for crowd counting in high density scenes by further exploring the idea of a fully convolutional crowd counting model introduced by (Z…
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan, Cristian Canton Ferrer, Kevin McGuinness +4
We introduce SalGAN, a deep convolutional neural network for visual saliency prediction trained with adversarial examples. The first stage of the network consists of a generator mo…