Steffen Wolf

According to our database, Steffen Wolf authored at least 18 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images.

Steffen Wolf, Manan Lalit, Henry Westmacott, Katie McDole, Jan Funke

CoRR, 2023

Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images.

Steffen Wolf, Manan Lalit, Katie McDole, Jan Funke

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.

Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

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

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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Machine Learning for Instance Segmentation.

Steffen Wolf

PhD thesis, 2020

Instance Separation Emerges from Inpainting.

Steffen Wolf, Fred A. Hamprecht, Jan Funke

CoRR, 2020

Learning the Arrow of Time for Problems in Reinforcement Learning.

Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio

Proceedings of the 8th International Conference on Learning Representations, 2020

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

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

Proceedings of the Computer Vision - ECCV 2020, 2020

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

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

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

Inpainting Networks Learn to Separate Cells in Microscopy Images.

Steffen Wolf, Fred A. Hamprecht, Jan Funke

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning the Arrow of Time.

Nasim Rahaman, Steffen Wolf, Anirudh Goyal, Roman Remme, Yoshua Bengio

CoRR, 2019

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

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

CoRR, 2019

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

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

CoRR, 2019

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos.

Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

The Mutex Watershed: Efficient, Parameter-Free Image Partitioning.

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

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

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

Steffen Wolf, Lukas Schott, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets.

Carsten Haubold, Janez Ales, Steffen Wolf, Fred A. Hamprecht

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Proof-reading guidance in cell tracking by sampling from tracking-by-assignment models.

Martin Schiegg, Ben Heuer, Carsten Haubold, Steffen Wolf, Ullrich Köthe, Fred A. Hamprecht

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015