activity
20202024
most citedDeep learning model compression using network sensitivity and gradients

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks

Madhumitha Sakthi, Louis Kerofsky, Varun Ravi Kumar +1

Autonomous driving systems require extensive data collection schemes to cover the diverse scenarios needed for building a robust and safe system. The data volumes are in the order…

cs.CV2023

Automotive RADAR sub-sampling via object detection networks: Leveraging prior signal information

Madhumitha Sakthi, Ahmed Tewfik, Marius Arvinte +1

Automotive radar has increasingly attracted attention due to growing interest in autonomous driving technologies. Acquiring situational awareness using multimodal data collected at…

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…