1 citations · 1 across the 2 of their papers we have counts for
3 papers
In-Vehicle Object Detection in the Wild for Driverless Vehicles
Ranjith Dinakaran, Li Zhang, Richard Jiang
In-vehicle human object identification plays an important role in vision-based automated vehicle driving systems while objects such as pedestrians and vehicles on roads or streets…
Distant Pedestrian Detection in the Wild using Single Shot Detector with Deep Convolutional Generative Adversarial Networks
Ranjith Dinakaran, Philip Easom, Li Zhang +3
In this work, we examine the feasibility of applying Deep Convolutional Generative Adversarial Networks (DCGANs) with Single Shot Detector (SSD) as data-processing technique to han…
Deep Learning based Pedestrian Detection at Distance in Smart Cities
Ranjith K Dinakaran, Philip Easom, Ahmed Bouridane +4
Generative adversarial networks (GANs) have been promising for many computer vision problems due to their powerful capabilities to enhance the data for training and test. In this p…