1 citations · 2 across the 5 of their papers we have counts for
5 papers
Fulcrum: Optimizing Concurrent DNN Training and Inferencing on Edge Accelerators
Prashanthi S. K., Saisamarth Taluri, Pranav Gupta +6
The proliferation of GPU accelerated edge devices like Nvidia Jetsons and the rise in privacy concerns are placing an emphasis on concurrent DNN training and inferencing on edge de…
Pagoda: An Energy and Time Roofline Study for DNN Workloads on Edge Accelerators
Prashanthi S. K., Kunal Kumar Sahoo, Amartya Ranjan Saikia +4
Edge accelerators such as Nvidia Jetsons are becoming an integral part of the computing continuum, and are often used for DNN inferencing and training. Nvidia Jetson edge devices h…
VARS: Vision-based Assessment of Risk in Security Systems
Pranav Gupta, Pratham Gohil, Sridhar S
The accurate prediction of danger levels in video content is critical for enhancing safety and security systems, particularly in environments where quick and reliable assessments a…
ViDAS: Vision-based Danger Assessment and Scoring
Pranav Gupta, Advith Krishnan, Naman Nanda +4
We present a novel dataset aimed at advancing danger analysis and assessment by addressing the challenge of quantifying danger in video content and identifying how human-like a Lar…
ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning
Pranav Gupta, Raunak Sharma, Rashmi Kumari +5
Environment Sound Classification has been a well-studied research problem in the field of signal processing and up till now more focus has been laid on fully supervised approaches.…