Constantin Pape

According to our database, Constantin Pape authored at least 28 papers between 2017 and 2026.

Collaborative distances:

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

2026

MedicoSAM: Robust Improvement of SAM for Medical Imaging.

Anwai Archit, Luca Freckmann, Constantin Pape

IEEE Trans. Medical Imaging, May, 2026

Evaluating Vision Foundation Models for Pixel and Object Classification in Microscopy.

Carolin Teuber, Anwai Archit, Tobias Boothe, Peter Ditte, Jochen C. Rink, Constantin Pape

CoRR, March, 2026

Revisiting foundation models for cell instance segmentation.

Anwai Archit, Constantin Pape

CoRR, March, 2026

2025

BioimageAIpub: a toolbox for AI-ready bioimaging data publishing.

Stefan Dvoretskii, Anwai Archit, Constantin Pape, Terrence J. Moore, Marco Nolden

CoRR, December, 2025

Parameter Efficient Fine-Tuning of Segment Anything Model.

Carolin Teuber, Anwai Archit, Constantin Pape

CoRR, February, 2025

Segment Anything for Histopathology.

Titus Griebel, Anwai Archit, Constantin Pape

CoRR, February, 2025

MedicoSAM: Towards foundation models for medical image segmentation.

Anwai Archit, Luca Freckmann, Constantin Pape

CoRR, January, 2025

Tiling Artifacts and Trade-Offs of Feature Normalization in the Segmentation of Large Biological Images.

Elena Buglakova, Anwai Archit, Edoardo D'Imprima, Julia Mahamid, Constantin Pape, Anna Kreshuk

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Probabilistic Domain Adaptation for Biomedical Image Segmentation.

Anwai Archit, Constantin Pape

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

ViM-UNet: Vision Mamba for Biomedical Segmentation.

Anwai Archit, Constantin Pape

CoRR, 2024

2023

Current Progress and Challenges in Large-Scale 3D Mitochondria Instance Segmentation.

Daniel Franco-Barranco, Zudi Lin, Won-Dong Jang, Xueying Wang, Qijia Shen, Wenjie Yin, Yutian Fan, Mingxing Li, Chang Chen, Zhiwei Xiong, Rui Xin, Hao Liu, Huai Chen, Zhili Li, Jie Zhao, Xuejin Chen, Constantin Pape, Ryan Conrad, Luke Nightingale, Joost de Folter, Martin L. Jones, Yanling Liu, Dorsa Ziaei, Stephan Huschauer, Ignacio Arganda-Carreras, Hanspeter Pfister, Donglai Wei

IEEE Trans. Medical Imaging, December, 2023

Reinforcement learning for instance segmentation with high-level priors.

Paul Hilt, Maedeh Zarvandi, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk

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

2022

From Shallow to Deep: Exploiting Feature-Based Classifiers for Domain Adaptation in Semantic Segmentation.

Alex Matskevych, Adrian Wolny, Constantin Pape, Anna Kreshuk

Frontiers Comput. Sci., 2022

Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings.

Adrian Wolny, Qin Yu, Constantin Pape, Anna Kreshuk

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

Scalable Instance Segmentation for Microscopy

Constantin Pape

PhD thesis, 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

Stateless actor-critic for instance segmentation with high-level priors.

Paul Hilt, Edgar Kaziakhmedov, Sourabh Bhide, Maria Leptin, Constantin Pape, Anna Kreshuk

CoRR, 2021

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

2019

Leveraging Domain Knowledge to Improve Microscopy Image Segmentation With Lifted Multicuts.

Constantin Pape, Alex Matskevych, Adrian Wolny, Julian Hennies, Giulia Mizzon, Marion Louveaux, Jacob Musser, Alexis Maizel, Detlev Arendt, Anna Kreshuk

Frontiers Comput. Sci., 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

Leveraging Domain Knowledge to improve EM image segmentation with Lifted Multicuts.

Constantin Pape, Alex Matskevych, Julian Hennies, Anna Kreshuk

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

Synthetic Patches, Real Images: Screening for Centrosome Aberrations in EM Images of Human Cancer Cells.

Artem Lukoyanov, Isabella Haberbosch, Constantin Pape, Alwin Krämer, Yannick Schwab, Anna Kreshuk

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Synaptic Cleft Segmentation in Non-isotropic Volume Electron Microscopy of the Complete Drosophila Brain.

Larissa Heinrich, Jan Funke, Constantin Pape, Juan Nunez-Iglesias, Stephan Saalfeld

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 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

Solving Large Multicut Problems for Connectomics via Domain Decomposition.

Constantin Pape, Thorsten Beier, Peter Li, Viren Jain, Davi D. Bock, Anna Kreshuk

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017