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

S. Wolf, A. Bailoni, C. Pape, N. Rahaman, A. Kreshuk, U. Köthe, and F. Hamprecht. CoRR, (2019)

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Steffen Wolf

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Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images.S. Wolf, M. Lalit, H. Westmacott, K. McDole, and J. Funke. CoRR, (2023)Instance Separation Emerges from Inpainting.S. Wolf, F. Hamprecht, and J. Funke. CoRR, (2020)Estimation of Protein-Ligand Unbinding Kinetics Using Non-Equilibrium Targeted Molecular Dynamics Simulations.S. Wolf, M. Amaral, M. Lowinski, F. Vallée, D. Musil, J. Güldenhaupt, M. Dreyer, J. Bomke, M. Frech, J. Schlitter and 1 other author(s). J. Chem. Inf. Model., 59 (12): 5135-5147 (2019)ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP.P. Kohl, N. Freyer, Y. Krämer, H. Werth, S. Wolf, B. Kraft, M. Meinecke, and A. Zündorf. DeLTA, volume 1875 of Communications in Computer and Information Science, page 235-253. Springer, (2023)GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation.A. Bailoni, C. Pape, N. Hütsch, S. Wolf, T. Beier, A. Kreshuk, and F. Hamprecht. CVPR, page 11635-11645. IEEE, (2022)The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation.S. Wolf, Y. Li, C. Pape, A. Bailoni, A. Kreshuk, and F. Hamprecht. ECCV (6), volume 12351 of Lecture Notes in Computer Science, page 208-224. Springer, (2020)The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.S. Wolf, A. Bailoni, C. Pape, N. Rahaman, A. Kreshuk, U. Köthe, and F. Hamprecht. CoRR, (2019)LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos.E. Kirschbaum, M. Haußmann, S. Wolf, H. Sonntag, J. Schneider, S. Elzoheiry, O. Kann, D. Durstewitz, and F. Hamprecht. ICLR (Poster), OpenReview.net, (2019)Machine Learning for Instance Segmentation.S. Wolf. University of Heidelberg, Germany, (2020)Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks.A. Bailoni, C. Pape, S. Wolf, A. Kreshuk, and F. Hamprecht. GCPR, volume 12544 of Lecture Notes in Computer Science, page 331-344. Springer, (2020)

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Disambiguation of "Wolf, Steffen"

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

Please choose a person to relate this publication to

Steffen Wolf

Steffen Wolf

Steffen Wolf

Steffen Wolf

Steffen Wolf

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wolf, Steffen"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML The Mutex Watershed and its Objective: Efficient, Parameter-Free Image Partitioning.

Please choose a person to relate this publication to

Steffen Wolf

Steffen Wolf

Steffen Wolf

Steffen Wolf

Steffen Wolf

Other publications of authors with the same name

Disambiguation

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