3 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
Handling Image and Label Resolution Mismatch in Remote Sensing
Scott Workman, Armin Hadzic, M. Usman Rafique
Though semantic segmentation has been heavily explored in vision literature, unique challenges remain in the remote sensing domain. One such challenge is how to handle resolution m…
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation
Haolin Yuan, Armin Hadzic, William Paul +5
Skin lesions can be an early indicator of a wide range of infectious and other diseases. The use of deep learning (DL) models to diagnose skin lesions has great potential in assist…
Towards Indirect Top-Down Road Transport Emissions Estimation
Ryan Mukherjee, Derek Rollend, Gordon Christie +4
Road transportation is one of the largest sectors of greenhouse gas (GHG) emissions affecting climate change. Tackling climate change as a global community will require new capabil…
RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery
Armin Hadzic, Hunter Blanton, Weilian Song +3
Roadway free-flow speed captures the typical vehicle speed in low traffic conditions. Modeling free-flow speed is an important problem in transportation engineering with applicatio…
Estimating Displaced Populations from Overhead
Armin Hadzic, Gordon Christie, Jeffrey Freeman +5
We introduce a deep learning approach to perform fine-grained population estimation for displacement camps using high-resolution overhead imagery. We train and evaluate our approac…
FARSA: Fully Automated Roadway Safety Assessment
Weilian Song, Scott Workman, Armin Hadzic +5
This paper addresses the task of road safety assessment. An emerging approach for conducting such assessments in the United States is through the US Road Assessment Program (usRAP)…