28 citations · 45 across the 4 of their papers we have counts for
4 papers
Flow-Based Visual Stream Compression for Event Cameras
Daniel C. Stumpp, Himanshu Akolkar, Alan D. George +1
As the use of neuromorphic, event-based vision sensors expands, the need for compression of their output streams has increased. While their operational principle ensures event stre…
Efficient and Low-Footprint Object Classification using Spatial Contrast
Matthew Belding, Daniel C. Stumpp, Rajkumar Kubendran
Event-based vision sensors traditionally compute temporal contrast that offers potential for low-power and low-latency sensing and computing. In this research, an alternative parad…
hARMS: A Hardware Acceleration Architecture for Real-Time Event-Based Optical Flow
Daniel C. Stumpp, Himanshu Akolkar, Alan D. George +1
Event-based vision sensors produce asynchronous event streams with high temporal resolution based on changes in the visual scene. The properties of these sensors allow for accurate…
Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics
Tae Min Hong, Benjamin Carlson, Brandon Eubanks +4
We present a novel implementation of classification using the machine learning / artificial intelligence method called boosted decision trees (BDT) on field programmable gate array…