64 citations · 107 across the 35 of their papers we have counts for
8 papers · 1 filter
When Bio-Inspired Computing meets Deep Learning: Low-Latency, Accurate, & Energy-Efficient Spiking Neural Networks from Artificial Neural Networks
Gourav Datta, Zeyu Liu, James Diffenderfer +2
Bio-inspired Spiking Neural Networks (SNN) are now demonstrating comparable accuracy to intricate convolutional neural networks (CNN), all while delivering remarkable energy and la…
Spiking Neural Networks with Dynamic Time Steps for Vision Transformers
Gourav Datta, Zeyu Liu, Anni Li +1
Spiking Neural Networks (SNNs) have emerged as a popular spatio-temporal computing paradigm for complex vision tasks. Recently proposed SNN training algorithms have significantly r…
FixPix: Fixing Bad Pixels using Deep Learning
Sreetama Sarkar, Xinan Ye, Gourav Datta +1
Efficient and effective on-line detection and correction of bad-pixels can improve yield and increase the expected lifetime of image sensors. This paper presents a comprehensive De…
Let's Roll: Synthetic Dataset Analysis for Pedestrian Detection Across Different Shutter Types
Yue Hu, Gourav Datta, Kira Beerel +1
Computer vision (CV) pipelines are typically evaluated on datasets processed by image signal processing (ISP) pipelines even though, for resource-constrained applications, an impor…
FireFly A Synthetic Dataset for Ember Detection in Wildfire
Yue Hu, Xinan Ye, Yifei Liu +7
This paper presents "FireFly", a synthetic dataset for ember detection created using Unreal Engine 4 (UE4), designed to overcome the current lack of ember-specific training resourc…
Technology-Circuit-Algorithm Tri-Design for Processing-in-Pixel-in-Memory (P2M)
Md Abdullah-Al Kaiser, Gourav Datta, Sreetama Sarkar +6
The massive amounts of data generated by camera sensors motivate data processing inside pixel arrays, i.e., at the extreme-edge. Several critical developments have fueled recent in…