17 citations · 31 across the 7 of their papers we have counts for
8 papers
Leveraging AI to Accelerate Medical Data Cleaning: A Comparative Study of AI-Assisted vs. Traditional Methods
Matthew Purri, Amit Patel, Erik Deurrell
Clinical trial data cleaning represents a critical bottleneck in drug development, with manual review processes struggling to manage exponentially increasing data volumes and compl…
Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping
Jonathan Giezendanner, Rohit Mukherjee, Matthew Purri +4
Mapping floods using satellite data is crucial for managing and mitigating flood risks. Satellite imagery enables rapid and accurate analysis of large areas, providing critical inf…
Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
Peri Akiva, Matthew Purri, Matthew Leotta
Self-supervised learning aims to learn image feature representations without the usage of manually annotated labels. It is often used as a precursor step to obtain useful initial n…
Street to Cloud: Improving Flood Maps With Crowdsourcing and Semantic Segmentation
Veda Sunkara, Matthew Purri, Bertrand Le Saux +1
To address the mounting destruction caused by floods in climate-vulnerable regions, we propose Street to Cloud, a machine learning pipeline for incorporating crowdsourced ground tr…
H2O-Net: Self-Supervised Flood Segmentation via Adversarial Domain Adaptation and Label Refinement
Peri Akiva, Matthew Purri, Kristin Dana +2
Accurate flood detection in near real time via high resolution, high latency satellite imagery is essential to prevent loss of lives by providing quick and actionable information.…
Angular Luminance for Material Segmentation
Jia Xue, Matthew Purri, Kristin Dana
Moving cameras provide multiple intensity measurements per pixel, yet often semantic segmentation, material recognition, and object recognition do not utilize this information. Wit…
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images
Matthew Purri, Kristin Dana
The connection between visual input and tactile sensing is critical for object manipulation tasks such as grasping and pushing. In this work, we introduce the challenging task of e…
Material Segmentation of Multi-View Satellite Imagery
Matthew Purri, Jia Xue, Kristin Dana +5
Material recognition methods use image context and local cues for pixel-wise classification. In many cases only a single image is available to make a material prediction. Image seq…