Eric Zimmermann

According to our database, Eric Zimmermann authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

Multi-Focus Probes for Context-Preserving Network Exploration and Interaction in Immersive Analytics.

Eric Zimmermann, Stefan Bruckner

CoRR, July, 2025

PRISM2: Unlocking Multi-Modal General Pathology AI with Clinical Dialogue.

George Shaikovski, Eugene Vorontsov, Adam Casson, Julian Viret, Eric Zimmermann, Neil A. Tenenholtz, Yi Kan Wang, Jan Bernhard, Ran A. Godrich, Juan Retamero, Razik Yousfi, Nicolò Fusi, Thomas J. Fuchs, Kristen Severson, Siqi Liu

CoRR, June, 2025

2024

Virchow2: Scaling Self-Supervised Mixed Magnification Models in Pathology.

Eric Zimmermann, Eugene Vorontsov, Julian Viret, Adam Casson, Michal Zelechowski, George Shaikovski, Neil A. Tenenholtz, James Brian Hall, David S. Klimstra, Razik Yousfi, Thomas J. Fuchs, Nicoló Fusi, Siqi Liu, Kristen Severson

CoRR, 2024

PRISM: A Multi-Modal Generative Foundation Model for Slide-Level Histopathology.

George Shaikovski, Adam Casson, Kristen Severson, Eric Zimmermann, Yi Kan Wang, Jeremy D. Kunz, Juan Retamero, Gerard Oakley, David S. Klimstra, Christopher Kanan, Matthew G. Hanna, Michal Zelechowski, Julian Viret, Neil A. Tenenholtz, James Brian Hall, Nicolò Fusi, Razik Yousfi, Peter Hamilton, William A. Moye, Eugene Vorontsov, Siqi Liu, Thomas J. Fuchs

CoRR, 2024

Adapting Self-Supervised Learning for Computational Pathology.

Eric Zimmermann, Neil A. Tenenholtz, James Brian Hall, George Shaikovski, Michal Zelechowski, Adam Casson, Fausto Milletari, Julian Viret, Eugene Vorontsov, Siqi Liu, Kristen Severson

CoRR, 2024

2023

Point Clouds Between Local and Global Approaches.

Eric Zimmermann

PhD thesis, 2023

Benchmarking a Benchmark: How Reliable is MS-COCO?

Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle

CoRR, 2023

An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance.

Eric Zimmermann, Justin Szeto, Frédéric Ratle

CoRR, 2023

2021

A Large-Scale Evaluation Of Shape-Aware Neighborhood Weights And Neighborhood Sizes.

Martin Skrodzki, Eric Zimmermann

Comput. Aided Des., 2021

2020

Surface Denoising based on Normal Filtering in a Robust Statistics Framework.

Sunil Kumar Yadav, Martin Skrodzki, Eric Zimmermann, Konrad Polthier

CoRR, 2020

Large-Scale Evaluation of Shape-Aware Neighborhood Weights & Neighborhood Sizes.

Martin Skrodzki, Eric Zimmermann

CoRR, 2020

Variational shape approximation of point set surfaces.

Martin Skrodzki, Eric Zimmermann, Konrad Polthier

Comput. Aided Geom. Des., 2020

2018

Constraint-based point set denoising using normal voting tensor and restricted quadratic error metrics.

Sunil Kumar Yadav, Ulrich Reitebuch, Martin Skrodzki, Eric Zimmermann, Konrad Polthier

Comput. Graph., 2018