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08/24/2023
Towards Hierarchical Regional Transformer-based Multiple Instance Learning
The classification of gigapixel histopathology images with deep multiple...
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08/24/2022
Tracking by weakly-supervised learning and graph optimization for whole-embryo C. elegans lineages
Tracking all nuclei of an embryo in noisy and dense fluorescence microsc...
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01/14/2021
How Shift Equivariance Impacts Metric Learning for Instance Segmentation
Metric learning has received conflicting assessments concerning its suit...
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08/24/2020
Probabilistic Deep Learning for Instance Segmentation
Probabilistic convolutional neural networks, which predict distributions...
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02/07/2020
An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images
Segmentation of cell nuclei in microscopy images is a prevalent necessit...
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01/21/2020
PatchPerPix for Instance Segmentation
In this paper we present a novel method for proposal free instance segme...
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12/16/2016
A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching
We study the quadratic assignment problem, in computer vision also known...
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09/07/2015
Convexity Shape Constraints for Image Segmentation
Segmenting an image into multiple components is a central task in comput...
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07/27/2015