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Lorenzo Cerrone

2 accepted papers

2022

CellTypeGraph: A New Geometric Computer Vision Benchmark

CVPR 2022poster

Classifying all cells in an organ is a relevant and difficult problem from plant developmental biology. We here abstract the problem into a new benchmark for node classification in a geo-referenced graph. Solving it requires learning the spatial layout of the organ including symmetries. To allow the…

Cited by 1PDFcodeScholar
2019

End-To-End Learned Random Walker for Seeded Image Segmentation

CVPR 2019poster

We present an end-to-end learned algorithm for seeded segmentation. Our method is based on the Random Walker algorithm, where we predict the edge weights of the un- derlying graph using a convolutional neural network. This can be interpreted as learning context-dependent diffusiv- ities for a linear…

Cited by 32PDFcodeScholar