Steffen Wolf

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All published works

Action	Title	Year	Authors
+ PDF Chat	Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images	2023	Steffen Wolf Manan Lalit Katie McDole Jan Funke
+	Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images	2023	Steffen Wolf Manan Lalit Henry Westmacott Katie McDole Jan Funke
+ PDF Chat	GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation	2022	Alberto Bailoni Constantin Pape Nathan Hutsch Steffen Wolf Thorsten Beier Anna Kreshuk Fred A. Hamprecht
+	Predicting resolved galaxy properties from photometric images using convolutional neural networks	2021	Tobias Buck Steffen Wolf
+ PDF Chat	Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks	2021	Alberto Bailoni Constantin Pape Steffen Wolf Anna Kreshuk Fred A. Hamprecht
+ PDF Chat	The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning	2020	Steffen Wolf Alberto Bailoni Constantin Pape Nasim Rahaman Anna Kreshuk Ullrich Köthe Fred A. Hamprecht
+	Instance Separation Emerges from Inpainting	2020	Steffen Wolf Fred A. Hamprecht Jan Funke
+ PDF Chat	The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation	2020	Steffen Wolf Yuyan Li Constantin Pape Alberto Bailoni Anna Kreshuk Fred A. Hamprecht
+	Learning the Arrow of Time	2019	Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio
+	A Generalized Framework for Agglomerative Clustering of Signed Graphs applied to Instance Segmentation.	2019	Alberto Bailoni Constantin Pape Steffen Wolf Thorsten Beier Anna Kreshuk Fred A. Hamprecht
+	Learning the Arrow of Time	2019	Nasim Rahaman Steffen Wolf Anirudh Goyal Roman Remme Yoshua Bengio
+	LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos	2018	Elke Kirschbaum Manuel Haußmann Steffen Wolf Hannah Sonntag Justus Schneider Shehabeldin Elzoheiry Oliver Kann Daniel Durstewitz Fred A. Hamprecht
+ PDF Chat	Learned Watershed: End-to-End Learning of Seeded Segmentation	2017	Steffen Wolf Lukas Schott Ullrich Köthe Fred A. Hamprecht
+	Learned Watershed: End-to-End Learning of Seeded Segmentation	2017	Steffen Wolf Lukas Schott Ullrich Köthe Fred A. Hamprecht
+	Tracking Objects with Higher Order Interactions using Delayed Column Generation	2015	Shaofei Wang Steffen Wolf Charless C. Fowlkes Julian Yarkony
+	Tracking Objects with Higher Order Interactions using Delayed Column Generation	2015	Shaofei Wang Steffen Wolf Charless C. Fowlkes Julian Yarkony

Common Coauthors

Coauthor	Papers Together
Fred A. Hamprecht	9
Anna Kreshuk	5
Alberto Bailoni	5
Constantin Pape	5
Ullrich Köthe	3
Jan Funke	3
Nasim Rahaman	3
Roman Remme	2
Yoshua Bengio	2
Lukas Schott	2
Katie McDole	2
Shaofei Wang	2
Julian Yarkony	2
Charless C. Fowlkes	2
Thorsten Beier	2
Manan Lalit	2
Anirudh Goyal	2
Henry Westmacott	1
Yuyan Li	1
Manuel Haußmann	1
Tobias Buck	1
Hannah Sonntag	1
Daniel Durstewitz	1
Nathan Hutsch	1
Oliver Kann	1
Justus Schneider	1
Shehabeldin Elzoheiry	1
Elke Kirschbaum	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Efficient Decomposition of Image and Mesh Graphs by Lifted Multicuts	2015	Margret Keuper Evgeny Levinkov Nicolas Bonneel Guillaume Lavoué Thomas Brox Bjoern Andres	5
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	5
+ PDF Chat	Deep Watershed Transform for Instance Segmentation	2017	Min Bai Raquel Urtasun	5
+ PDF Chat	Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images	2013	Juan Nunez-Iglesias Ryan Kennedy Toufiq Parag Jianbo Shi Dmitri B. Chklovskii	5
+	RhoanaNet Pipeline: Dense Automatic Neural Annotation	2016	Seymour Knowles-Barley Verena Kaynig Thouis R. Jones A. Wilson Joshua Morgan Lee Dongil Daniel R. Berger Narayanan Kasthuri Jeff W. Lichtman Hanspeter Pfister	5
+	Maximin affinity learning of image segmentation	2009	Kevin L. Briggman Winfried Denk Sebastian Seung Moritz Helmstaedter Srinivas C. Turaga	4
+ PDF Chat	Holistically-Nested Edge Detection	2015	Saining Xie Zhuowen Tu	4
+	Pushing the Boundaries of Boundary Detection using Deep Learning	2015	Iasonas Kokkinos	4
+	Maximin affinity learning of image segmentation	2009	Srinivas C. Turaga Kevin L. Briggman Moritz Helmstaedter Winfried Denk H. Sebastian Seung	4
+ PDF Chat	Affinity Derivation and Graph Merge for Instance Segmentation	2018	Yiding Liu Siyu Yang Bin Li Wengang Zhou Jizheng Xu Houqiang Li Yan Lu	4
+ PDF Chat	Recurrent Pixel Embedding for Instance Grouping	2018	Shu Kong Charless C. Fowlkes	4
+	A Multi-Pass Approach to Large-Scale Connectomics	2016	Yaron Meirovitch Alexander Matveev Hayk Saribekyan David Budden David Rolnick Gergely Ódor Seymour Knowles-Barley Thouis R. Jones Hanspeter Pfister Jeff W. Lichtman	4
+ PDF Chat	The Mutex Watershed and its Objective: Efficient, Parameter-Free Graph Partitioning	2020	Steffen Wolf Alberto Bailoni Constantin Pape Nasim Rahaman Anna Kreshuk Ullrich Köthe Fred A. Hamprecht	4
+ PDF Chat	Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction	2018	Jan Funke Fabian Tschopp William Grisaitis Arlo Sheridan Chandan Singh Stephan Saalfeld Srinivas C. Turaga	4
+ PDF Chat	SSAP: Single-Shot Instance Segmentation With Affinity Pyramid	2019	Naiyu Gao Yanhu Shan Yupei Wang Xin Zhao Yinan Yu Ming Yang Kaiqi Huang	3
+	Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph	2015	Aleksandar Zlateski H. Sebastian Seung	3
+	Superhuman Accuracy on the SNEMI3D Connectomics Challenge	2017	Kisuk Lee Jonathan Zung Peter H. Li Viren Jain H. Sebastian Seung	3
+	Semantic Instance Segmentation via Deep Metric Learning	2017	Alireza Fathi Zbigniew Wojna Vivek Rathod Peng Wang Hyun Oh Song Sergio Guadarrama Kevin Murphy	3
+ PDF Chat	InstanceCut: From Edges to Instances with MultiCut	2017	Alexander Kirillov Evgeny Levinkov Bjoern Andres Bogdan Savchynskyy Carsten Rother	3
+ PDF Chat	FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics	2021	Tran Minh Quan David G. C. Hildebrand Won-Ki Jeong	3
+	Next Generation Multicuts for Semi-Planar Graphs	2015	Julian Yarkony	2
+ PDF Chat	Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth	2019	Davy Neven Bert De Brabandere Marc Proesmans Luc Van Gool	2
+ PDF Chat	Instance-Aware Semantic Segmentation via Multi-task Network Cascades	2016	Jifeng Dai Kaiming He Jian Sun	2
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+ PDF Chat	Large-scale automatic reconstruction of neuronal processes from electron microscopy images	2015	Verena Kaynig Amelio Vázquez-Reina Seymour Knowles-Barley Mike Roberts Thouis R. Jones Narayanan Kasthuri Eric L. Miller Jeff W. Lichtman Hanspeter Pfister	2
+ PDF Chat	AdaptIS: Adaptive Instance Selection Network	2019	Konstantin Sofiiuk Olga Barinova Anton Konushin	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Flood-Filling Networks	2016	Michał Januszewski Jeremy Maitin-Shepard Peter H. Li Jörgen Kornfeld Winfried Denk Viren Jain	2
+ PDF Chat	Cell Detection with Star-Convex Polygons	2018	Uwe Schmidt Martin Weigert Coleman Broaddus Gene Myers	2
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+ PDF Chat	SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation	2016	Ting Liu Miaomiao Zhang Mehran Javanmardi Nisha Ramesh Tolga Taşdizen	2
+	Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration.	2017	Toufiq Parag Fabian Tschopp William Grisaitis Srinivas C. Turaga Xuewen Zhang Brian Matejek Lee Kamentsky Jeff W. Lichtman Hanspeter Pfister	2
+	Semantic Instance Segmentation with a Discriminative Loss Function	2017	Bert De Brabandere Davy Neven Luc Van Gool	2
+ PDF Chat	Combinatorial Persistency Criteria for Multicut and Max-Cut	2019	Jan-Hendrik Lange Bjoern Andres Paul Swoboda	2
+ PDF Chat	The Cityscapes Dataset for Semantic Urban Scene Understanding	2016	Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele	2
+	Multi-Scale Context Aggregation by Dilated Convolutions	2015	Fisher Yu Vladlen Koltun	1
+ PDF Chat	Reversible Recursive Instance-Level Object Segmentation	2016	Xiaodan Liang Yunchao Wei Xiaohui Shen Zequn Jie Jiashi Feng Liang Lin Shuicheng Yan	1
+	The Variational Formulation of the Fokker--Planck Equation	1998	Richard W. Jordan David Kinderlehrer Félix Otto	1
+	Image Segmentation Using Hierarchical Merge Tree	2016	Ting Liu Mojtaba Seyedhosseini Tolga Taşdizen	1
+ PDF Chat	On constrained spectral clustering and its applications	2012	Xiang Wang Buyue Qian Ian Davidson	1
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+ PDF Chat	Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences	1999	Gavin E. Crooks	1
+	Appendices: Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+ PDF Chat	High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis	2017	Chao Yang Xin Lu Zhe Lin Eli Shechtman Oliver Wang Hao Li	1
+	Learning visual groups from co-occurrences in space and time	2015	Phillip Isola Daniel Zoran Dilip Krishnan Edward H. Adelson	1
+ PDF Chat	On the Equivalence Between Hierarchical Segmentations and Ultrametric Watersheds	2011	Laurent Najman	1
+	A structured matrix factorization framework for large scale calcium imaging data analysis	2014	Eftychios A. Pnevmatikakis Yuanjun Gao Daniel Soudry David Pfau Clay Lacefield Kira E. Poskanzer Randy M. Bruno Rafael Yuste Liam Paninski	1
+	MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking	2015	Laura Leal-Taixé Anton Milan Ian Reid Stefan Roth Konrad Schindler	1