most citedVision Transformers and YoloV5 based Driver Drowsiness Detection Framework

19 citations · 36 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2023

3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments

Ghanta Sai Krishna, Kundrapu Supriya, Sabur Baidya

The existence of variable factors within the environment can cause a decline in camera localization accuracy, as it violates the fundamental assumption of a static environment in S…

cs.CR2023

Adversarial Security and Differential Privacy in mmWave Beam Prediction in 6G networks

Ghanta Sai Krishna, Kundrapu Supriya, Sanskar Singh +1

In the forthcoming era of 6G, the mmWave communication is envisioned to be used in dense user scenarios with high bandwidth requirements, that necessitate efficient and accurate be…

cs.CV2023

A Novel end-to-end Framework for Occluded Pixel Reconstruction with Spatio-temporal Features for Improved Person Re-identification

Prathistith Raj Medi, Ghanta Sai Krishna, Praneeth Nemani +2

Person re-identification is vital for monitoring and tracking crowd movement to enhance public security. However, re-identification in the presence of occlusion substantially reduc…

cs.CV20238 cited

LesionAid: Vision Transformers-based Skin Lesion Generation and Classification

Ghanta Sai Krishna, Kundrapu Supriya, Mallikharjuna Rao K +1

Skin cancer is one of the most prevalent forms of human cancer. It is recognized mainly visually, beginning with clinical screening and continuing with the dermoscopic examination,…

cs.CV202219 cited

Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework

Ghanta Sai Krishna, Kundrapu Supriya, Jai Vardhan +1

Human drivers have distinct driving techniques, knowledge, and sentiments due to unique driving traits. Driver drowsiness has been a serious issue endangering road safety; therefor…

cs.CV20228 cited

Video Vision Transformers for Violence Detection

Sanskar Singh, Shivaibhav Dewangan, Ghanta Sai Krishna +3

Law enforcement and city safety are significantly impacted by detecting violent incidents in surveillance systems. Although modern (smart) cameras are widely available and affordab…