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Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks


Sep 10, 2020
Alberto Bailoni, Constantin Pape, Steffen Wolf, Anna Kreshuk, Fred A. Hamprecht

* Presented at GCPR 2020 

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Instance Separation Emerges from Inpainting


Feb 28, 2020
Steffen Wolf, Fred A. Hamprecht, Jan Funke


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The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation


Dec 29, 2019
Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht


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Learning the Arrow of Time


Jul 02, 2019
Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio

* A shorter version of this work was presented at the Theoretical Phyiscs for Deep Learning Workshop, ICML 2019 

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A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation


Jun 27, 2019
Alberto Bailoni, Constantin Pape, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht

* 19 pages, 8 figures, 6 tables 

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The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning


Apr 25, 2019
Steffen Wolf, Alberto Bailoni, Constantin Pape, Nasim Rahaman, Anna Kreshuk, Ullrich Köthe, Fred A. Hamprecht


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Learned Watershed: End-to-End Learning of Seeded Segmentation


Sep 04, 2017
Steffen Wolf, Lukas Schott, Ullrich Köthe, Fred Hamprecht

* The first two authors contributed equally 

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Tracking Objects with Higher Order Interactions using Delayed Column Generation


Aug 09, 2016
Shaofei Wang, Steffen Wolf, Charless Fowlkes, Julian Yarkony


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