8 citations · 27 across the 10 of their papers we have counts for
5 papers · 1 filter
Stereo Frustums: A Siamese Pipeline for 3D Object Detection
Xi Mo, Usman Sajid, Guanghui Wang
The paper proposes a light-weighted stereo frustums matching module for 3D objection detection. The proposed framework takes advantage of a high-performance 2D detector and a point…
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…