73 citations · 155 across the 6 of their papers we have counts for
6 papers
Real-time Driver Monitoring Systems on Edge AI Device
Jyothi Hariharan, Rahul Rama Varior, Sunil Karunakaran
As road accident cases are increasing due to the inattention of the driver, automated driver monitoring systems (DMS) have gained an increase in acceptance. In this report, we pres…
Understanding the impact of mistakes on background regions in crowd counting
Davide Modolo, Bing Shuai, Rahul Rama Varior +1
Every crowd counting researcher has likely observed their model output wrong positive predictions on image regions not containing any person. But how often do these mistakes happen…
Multi-Scale Attention Network for Crowd Counting
Rahul Rama Varior, Bing Shuai, Joseph Tighe +1
In crowd counting datasets, people appear at different scales, depending on their distance from the camera. To address this issue, we propose a novel multi-branch scale-aware atten…
A Siamese Long Short-Term Memory Architecture for Human Re-Identification
Rahul Rama Varior, Bing Shuai, Jiwen Lu +2
Matching pedestrians across multiple camera views known as human re-identification (re-identification) is a challenging problem in visual surveillance. In the existing works concen…
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior, Mrinal Haloi, Gang Wang
Matching pedestrians across multiple camera views, known as human re-identification, is a challenging research problem that has numerous applications in visual surveillance. With t…
Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification
Rahul Rama Varior, Gang Wang
This paper addresses the problem of matching pedestrians across multiple camera views, known as person re-identification. Variations in lighting conditions, environment and pose ch…