Alberto Bailoni

According to our database, Alberto Bailoni authored at least 10 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Deep Learning for Graph-Based Image Instance Segmentation.

Alberto Bailoni

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

2020

DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging.

Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

DISCo for the CIA: Deep learning, Instance Segmentation, and Correlations for Calcium Imaging Analysis.

Elke Kirschbaum, Alberto Bailoni, Fred A. Hamprecht

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

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