activity
20162026
most citedAutomatic Detection of Solar Photovoltaic Arrays in High Resolution Aerial Imagery

198 citations · 458 across the 34 of their papers we have counts for

collaborators
Showing 2022Show all

7 papers · 1 filter

cs.CV2022★ 2 cited

Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer

Evelyn A. Stump, Francesco Luzi, Leslie M. Collins +1

Recent object detection models for infrared (IR) imagery are based upon deep neural networks (DNNs) and require large amounts of labeled training imagery. However, publicly availab…

cs.LG2022★ 2 cited

Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling

Gregory P. Spell, Simiao Ren, Leslie M. Collins +1

We propose and show the efficacy of a new method to address generic inverse problems. Inverse modeling is the task whereby one seeks to determine the control parameters of a natura…

cs.CV2022

Transformers For Recognition In Overhead Imagery: A Reality Check

Francesco Luzi, Aneesh Gupta, Leslie Collins +2

There is evidence that transformers offer state-of-the-art recognition performance on tasks involving overhead imagery (e.g., satellite imagery). However, it is difficult to make u…

cs.CV2022

Meta-simulation for the Automated Design of Synthetic Overhead Imagery

Handi Yu, Simiao Ren, Leslie M. Collins +1

The use of synthetic (or simulated) data for training machine learning models has grown rapidly in recent years. Synthetic data can often be generated much faster and more cheaply…

eess.SP2022★ 47 cited

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Simiao Ren, Wei Hu, Kyle Bradbury +4

High quality energy systems information is a crucial input to energy systems research, modeling, and decision-making. Unfortunately, actionable information about energy systems is…

cs.LG2022

Towards Robust Deep Active Learning for Scientific Computing

Simiao Ren, Yang Deng, Willie J. Padilla +1

Deep learning (DL) is revolutionizing the scientific computing community. To reduce the data gap, active learning has been identified as a promising solution for DL in the scientif…

eess.IV2022★ 25 cited

Utilizing geospatial data for assessing energy security: Mapping small solar home systems using unmanned aerial vehicles and deep learning

Simiao Ren, Jordan Malof, T. Robert Fetter +3

Solar home systems (SHS), a cost-effective solution for rural communities far from the grid in developing countries, are small solar panels and associated equipment that provides p…