8 citations · 23 across the 5 of their papers we have counts for
5 papers
Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting
Usman Sajid, Wenchi Ma, Guanghui Wang
Crowd counting in still images is a challenging problem in practice due to huge crowd-density variations, large perspective changes, severe occlusion, and variable lighting conditi…
Classification of Noncoding RNA Elements Using Deep Convolutional Neural Networks
Brian McClannahan, Krushi Patel, Usman Sajid +2
The paper proposes to employ deep convolutional neural networks (CNNs) to classify noncoding RNA (ncRNA) sequences. To this end, we first propose an efficient approach to convert t…
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images
Usman Sajid, Hasan Sajid, Hongcheng Wang +1
This paper proposes a novel approach for crowd counting in low to high density scenarios in static images. Current approaches cannot handle huge crowd diversity well and thus perfo…
Plug-and-Play Rescaling Based Crowd Counting in Static Images
Usman Sajid, Guanghui Wang
Crowd counting is a challenging problem especially in the presence of huge crowd diversity across images and complex cluttered crowd-like background regions, where most previous ap…
Object Detection with Convolutional Neural Networks
Kaidong Li, Wenchi Ma, Usman Sajid +2
In this chapter, we present a brief overview of the recent development in object detection using convolutional neural networks (CNN). Several classical CNN-based detectors are pres…