4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Efficient AI Model Deployment Using Quantization Analysis Tool
Dwith Chenna, Kanishka Macherla
As deep learning models are increasingly deployed on resource constrained devices, the demand for efficient model optimization techniques continues to grow. Effective deployment of…
eess.IV2024
Segment anything model (SAM) for brain extraction in fMRI studies
Dwith Chenna, Suyash Bhogawar
Brain extraction and removal of skull artifacts from magnetic resonance images (MRI) is an important preprocessing step in neuroimaging analysis. There are many tools developed to…
cs.CV2023★ 4 cited
Evolution of Convolutional Neural Network (CNN): Compute vs Memory bandwidth for Edge AI
Dwith Chenna
Convolutional Neural Networks (CNNs) have greatly influenced the field of Embedded Vision and Edge Artificial Intelligence (AI), enabling powerful machine learning capabilities on…