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Clarissa Read

2 accepted papers

2024

Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images

ICLR 2024poster

Current state-of-the-art methods for object detection rely on annotated bounding boxes of large data sets for training. However, obtaining such annotations is expensive and can require up to hundreds of hours of manual labor. This poses a challenge, especially since such annotations can only be prov…

Cited by 1SourcePDFScholar
2022

Clean Implicit 3D Structure From Noisy 2D STEM Images

CVPR 2022poster

Scanning Transmission Electron Microscopes (STEMs) acquire 2D images of a 3D sample on the scale of individual cell components. Unfortunately, these 2D images can be too noisy to be fused into a useful 3D structure and facilitating good denoisers is challenging due to the lack of clean-noisy pairs.…

Cited by 10PDFcodeScholar