7 citations · 12 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…