no code implementations • 3 Sep 2022 • Khushal Sethi, Vivek Parmar, Manan Suri
Deep learning research has generated widespread interest leading to emergence of a large variety of technological innovations and applications.
no code implementations • 8 Jun 2022 • Vivek Parmar, Syed Shakib Sarwar, Ziyun Li, Hsien-Hsin S. Lee, Barbara De Salvo, Manan Suri
Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse.
no code implementations • 6 Jul 2020 • Vivek Parmar, Narayani Bhatia, Shubham Negi, Manan Suri
In this paper, we present an analysis on the impact of network parameters for semantic segmentation architectures in context of UAV data processing.
no code implementations • 10 Jun 2020 • Sandeep Kaur Kingra, Vivek Parmar, Shubham Negi, Sufyan Khan, Boris Hudec, Tuo-Hung Hou, Manan Suri
Post weight generation the OxRAM array is carefully programmed to binary weight-states using the proposed weight mapping technique on a custom-built testbench.
no code implementations • 6 Jan 2018 • Vivek Parmar, Manan Suri
To validate the proposed scheme we have simulated two different architectures: (i) Deep Belief Network (DBN) and (ii) Stacked Denoising Autoencoder for classification and reconstruction of hand-written digits from a reduced MNIST dataset of 6000 images.