3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Deep learning model compression using network sensitivity and gradients
Madhumitha Sakthi, Niranjan Yadla, Raj Pawate
Deep learning model compression is an improving and important field for the edge deployment of deep learning models. Given the increasing size of the models and their corresponding…
cs.CV2022
End-to-end system for object detection from sub-sampled radar data
Madhumitha Sakthi, Ahmed Tewfik, Marius Arvinte +1
Robust and accurate sensing is of critical importance for advancing autonomous automotive systems. The need to acquire situational awareness in complex urban conditions using senso…
cs.CV2020
Automotive Radar Data Acquisition using Object Detection
Madhumitha Sakthi, Ahmed Tewfik
The growing urban complexity demands an efficient algorithm to acquire and process various sensor information from autonomous vehicles. In this paper, we introduce an algorithm to…