2 citations · 2 across the 2 of their papers we have counts for
3 papers · 1 filter
Pseudo Pixel-level Labeling for Images with Evolving Content
Sara Mousavi, Zhenning Yang, Kelley Cross +2
Annotating images for semantic segmentation requires intense manual labor and is a time-consuming and expensive task especially for domains with a scarcity of experts, such as Fore…
An Analytical Workflow for Clustering Forensic Images
Sara Mousavi, Dylan Lee, Tatianna Griffin +2
Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards cura…
Machine-assisted annotation of forensic imagery
Sara Mousavi, Ramin Nabati, Megan Kleeschulte +1
Image collections, if critical aspects of image content are exposed, can spur research and practical applications in many domains. Supervised machine learning may be the only feasi…