18 citations · 65 across the 33 of their papers we have counts for
5 papers · 1 filter
SatReg: Regression-based Neural Architecture Search for Lightweight Satellite Image Segmentation
Edward Humes, Tinoosh Mohsenin
As Earth-observation workloads move toward onboard and edge processing, remote-sensing segmentation models must operate under tight latency and energy constraints. We present SatRe…
RAFT -- A Domain Adaptation Framework for RGB & LiDAR Semantic Segmentation
Edward Humes, Xiaomin Lin, Boxun Hu +2
Image segmentation is a powerful computer vision technique for scene understanding. However, real-world deployment is stymied by the need for high-quality, meticulously labeled dat…
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
Hasib-Al Rashid, Argho Sarkar, Aryya Gangopadhyay +2
Traditional machine learning models often require powerful hardware, making them unsuitable for deployment on resource-limited devices. Tiny Machine Learning (tinyML) has emerged a…
Squeezed Edge YOLO: Onboard Object Detection on Edge Devices
Edward Humes, Mozhgan Navardi, Tinoosh Mohsenin
Demand for efficient onboard object detection is increasing due to its key role in autonomous navigation. However, deploying object detection models such as YOLO on resource constr…
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
JT Turner, Adam Page, Tinoosh Mohsenin +1
Ubiquitous bio-sensing for personalized health monitoring is slowly becoming a reality with the increasing availability of small, diverse, robust, high fidelity sensors. This oncom…