64 citations · 99 across the 3 of their papers we have counts for
9 papers
Motif Mining: Finding and Summarizing Remixed Image Content
William Theisen, Daniel Gonzalez Cedre, Zachariah Carmichael +3
On the internet, images are no longer static; they have become dynamic content. Thanks to the availability of smartphones with cameras and easy-to-use editing software, images can…
Adaptive Autonomy in Human-on-the-Loop Vision-Based Robotics Systems
Sophia Abraham, Zachariah Carmichael, Sreya Banerjee +5
Computer vision approaches are widely used by autonomous robotic systems to sense the world around them and to guide their decision making as they perform diverse tasks such as col…
SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread
Nicholas Soures, David Chambers, Zachariah Carmichael +5
The SARS-CoV-2 infectious outbreak has rapidly spread across the globe and precipitated varying policies to effectuate physical distancing to ameliorate its impact. In this study,…
Cheetah: Mixed Low-Precision Hardware & Software Co-Design Framework for DNNs on the Edge
Hamed F. Langroudi, Zachariah Carmichael, David Pastuch +1
Low-precision DNNs have been extensively explored in order to reduce the size of DNN models for edge devices. Recently, the posit numerical format has shown promise for DNN data re…
Deep Learning Training on the Edge with Low-Precision Posits
Hamed F. Langroudi, Zachariah Carmichael, Dhireesha Kudithipudi
Recently, the posit numerical format has shown promise for DNN data representation and compute with ultra-low precision ([5..8]-bit). However, majority of studies focus only on DNN…
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting
Zachariah Carmichael, Humza Syed, Dhireesha Kudithipudi
Echo state networks are computationally lightweight reservoir models inspired by the random projections observed in cortical circuitry. As interest in reservoir computing has grown…