activity
20152024
most citedDetecting Vanishing Points using Global Image Context in a Non-Manhattan World

23 citations · 63 across the 13 of their papers we have counts for

collaborators

20 papers

cs.CV2024

Mixed-View Panorama Synthesis using Geospatially Guided Diffusion

Zhexiao Xiong, Xin Xing, Scott Workman +2

We introduce the task of mixed-view panorama synthesis, where the goal is to synthesize a novel panorama given a small set of input panoramas and a satellite image of the area. Thi…

cs.CV2024

Probabilistic Image-Driven Traffic Modeling via Remote Sensing

Scott Workman, Armin Hadzic

This work addresses the task of modeling spatiotemporal traffic patterns directly from overhead imagery, which we refer to as image-driven traffic modeling. We extend this line of…

cs.CV2022

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…

cs.CV2022★ 1 cited

Revisiting Near/Remote Sensing with Geospatial Attention

Scott Workman, M. Usman Rafique, Hunter Blanton +1

This work addresses the task of overhead image segmentation when auxiliary ground-level images are available. Recent work has shown that performing joint inference over these two m…

cs.CV2021

Augmenting Depth Estimation with Geospatial Context

Scott Workman, Hunter Blanton

Modern cameras are equipped with a wide array of sensors that enable recording the geospatial context of an image. Taking advantage of this, we explore depth estimation under the a…

cs.CV2021★ 16 cited

Content-Aware Detection of Temporal Metadata Manipulation

Rafael Padilha, Tawfiq Salem, Scott Workman +3

Most pictures shared online are accompanied by temporal metadata (i.e., the day and time they were taken), which makes it possible to associate an image content with real-world eve…