3 citations · 7 across the 17 of their papers we have counts for
5 papers · 1 filter
Voltage-Controlled Magnetic Tunnel Junction based ADC-less Global Shutter Processing-in-Pixel for Extreme-Edge Intelligence
Md Abdullah-Al Kaiser, Gourav Datta, Jordan Athas +5
The vast amount of data generated by camera sensors has prompted the exploration of energy-efficient processing solutions for deploying computer vision tasks on edge devices. Among…
Energy-Efficient & Real-Time Computer Vision with Intelligent Skipping via Reconfigurable CMOS Image Sensors
Md Abdullah-Al Kaiser, Sreetama Sarkar, Peter A. Beerel +2
Current video-based computer vision (CV) applications typically suffer from high energy consumption due to reading and processing all pixels in a frame, regardless of their signifi…
Retina-Inspired Object Motion Segmentation for Event-Cameras
Victoria Clerico, Shay Snyder, Arya Lohia +4
Event-cameras have emerged as a revolutionary technology with a high temporal resolution that far surpasses standard active pixel cameras. This technology draws biological inspirat…
Hardware-Algorithm Re-engineering of Retinal Circuit for Intelligent Object Motion Segmentation
Jason Sinaga, Victoria Clerico, Md Abdullah-Al Kaiser +5
Recent advances in retinal neuroscience have fueled various hardware and algorithmic efforts to develop retina-inspired solutions for computer vision tasks. In this work, we focus…
Toward High Performance, Programmable Extreme-Edge Intelligence for Neuromorphic Vision Sensors utilizing Magnetic Domain Wall Motion-based MTJ
Md Abdullah-Al Kaiser, Gourav Datta, Peter A. Beerel +1
The desire to empower resource-limited edge devices with computer vision (CV) must overcome the high energy consumption of collecting and processing vast sensory data. To address t…