activity
20192025
most citedDestruction of Image Steganography using Generative Adversarial Networks

14 citations · 18 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2025

InspectVLM: Unified in Theory, Unreliable in Practice

Conor Wallace, Isaac Corley, Jonathan Lwowski

Unified vision-language models (VLMs) promise to streamline computer vision pipelines by reframing multiple visual tasks such as classification, detection, and keypoint localizatio…

cs.CV2025

Aerial Infrared Health Monitoring of Solar Photovoltaic Farms at Scale

Isaac Corley, Conor Wallace, Sourav Agrawal +2

Solar photovoltaic (PV) farms represent a major source of global renewable energy generation, yet their true operational efficiency often remains unknown at scale. In this paper, w…

cs.CV2025

Solar Panel Mapping via Oriented Object Detection

Conor Wallace, Isaac Corley, Jonathan Lwowski

Maintaining the integrity of solar power plants is a vital component in dealing with the current climate crisis. This process begins with analysts creating a detailed map of a plan…

cs.CV2024

Barely-Visible Surface Crack Detection for Wind Turbine Sustainability

Sourav Agrawal, Isaac Corley, Conor Wallace +2

The production of wind energy is a crucial part of sustainable development and reducing the reliance on fossil fuels. Maintaining the integrity of wind turbines to produce this ene…

cs.CV2023

ZRG: A Dataset for Multimodal 3D Residential Rooftop Understanding

Isaac Corley, Jonathan Lwowski, Peyman Najafirad

A crucial part of any home is the roof over our heads to protect us from the elements. In this paper we present the Zeitview Rooftop Geometry (ZRG) dataset for residential rooftop…

cs.MM2019★ 14 cited

Destruction of Image Steganography using Generative Adversarial Networks

Isaac Corley, Jonathan Lwowski, Justin Hoffman

Digital image steganalysis, or the detection of image steganography, has been studied in depth for years and is driven by Advanced Persistent Threat (APT) groups', such as APT37 Re…

cs.LG2019★ 4 cited

DomainGAN: Generating Adversarial Examples to Attack Domain Generation Algorithm Classifiers

Isaac Corley, Jonathan Lwowski, Justin Hoffman

Domain Generation Algorithms (DGAs) are frequently used to generate numerous domains for use by botnets. These domains are often utilized as rendezvous points for servers that malw…