Constantin Pape
8 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (17) π Conference Pioneer
π
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Research topics
Computer Vision
(5)
Deep Learning
(5)
Analysis
(4)
Healthcare & Medicine
(3)
Machine Learning
(3)
Clinical
(3)
Models
(3)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Processing
(2)
Architectures
(1)
Domain-Specific
(1)
Learning Types Β· Machine Learning
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
instance segmentation
(4)
vision foundation model
(2)
segment anything model
(2)
self-supervised learning
(1)
weakly supervised learning
(1)
batch normalization
(1)
hierarchical clustering
(1)
agglomerative clustering
(1)
biomedical imaging
(1)
cell segmentation
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
positive-unlabeled learning
(1)
signed graph
(1)
feature normalization
(1)
pixel embedding
(1)
digital pathology
(1)
microscopy image
(1)
biomedical image segmentation
(1)
transfer performance
(1)
Papers
Revisiting foundation models for cell instance segmentation
MIDL 2026
Parameter Efficient Fine-Tuning of Segment Anything Model for Biomedical Imaging
MIDL 2025
Segment Anything for Histopathology
MIDL 2025
Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
ICCV 2025
GASP, a Generalized Framework for Agglomerative Clustering of Signed Graphs and Its Application to Instance Segmentation
CVPR 2022
Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings
CVPR 2022
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed
ECCV 2020
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning
ECCV 2018