Magnus Heitzler

According to our database, Magnus Heitzler authored at least 18 papers between 2013 and 2024.

Collaborative distances:

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

2024

A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting.

Chenjing Jiao, Magnus Heitzler, Lorenz Hurni

Comput. Environ. Urban Syst., 2024

Probabilistic road classification in historical maps using synthetic data and deep learning.

Dominik J. Mühlematter, Sebastian Schweizer, Chenjing Jiao, Xue Xia, Magnus Heitzler, Lorenz Hurni

CoRR, 2024

Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation.

Xue Xia, Tao Zhang, Magnus Heitzler, Lorenz Hurni

Int. J. Appl. Earth Obs. Geoinformation, 2024

2022

Terrain Segmentation Using a U-Net for Improved Relief Shading.

Marianna Farmakis-Serebryakova, Magnus Heitzler, Lorenz Hurni

ISPRS Int. J. Geo Inf., 2022

Inferring Implicit 3D Representations from Human Figures on Pictorial Maps.

Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber, Lorenz Hurni

CoRR, 2022

A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction.

Chenjing Jiao, Magnus Heitzler, Lorenz Hurni

Int. J. Appl. Earth Obs. Geoinformation, 2022

Unsupervised historical map registration by a deformation neural network.

Sidi Wu, Raimund Schnürer, Magnus Heitzler, Lorenz Hurni

Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022

2021

Cartographic Relief Shading with Neural Networks.

Bernhard Jenny, Magnus Heitzler, Dilpreet Singh, Marianna Farmakis-Serebryakova, Jeffery Chieh Liu, Lorenz Hurni

IEEE Trans. Vis. Comput. Graph., 2021

A survey of road feature extraction methods from raster maps.

Chenjing Jiao, Magnus Heitzler, Lorenz Hurni

Trans. GIS, 2021

2020

Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map.

Magnus Heitzler, Lorenz Hurni

Trans. GIS, 2020

The State of the Art in Map-Like Visualization.

Marius Hogräfer, Magnus Heitzler, Hans-Jörg Schulz

Comput. Graph. Forum, 2020

2019

The Light Source Metaphor Revisited - Bringing an Old Concept for Teaching Map Projections to the Modern Web.

Magnus Heitzler, Hans-Rudolf Bär, Roland Schenkel, Lorenz Hurni

ISPRS Int. J. Geo Inf., 2019

2018

Stress tests for a road network using fragility functions and functional capacity loss functions.

Juan Carlos Lam, Bryan T. Adey, Magnus Heitzler, Jürgen Hackl, Pierre Gehl, H. R. Noel van Erp, Dina D'Ayala, Pieter H. A. J. M. van Gelder, Lorenz Hurni

Reliab. Eng. Syst. Saf., 2018

An interactive tool for teaching map projections.

Magnus Heitzler, Hans-Rudolf Bär, Roland Schenkel, Lorenz Hurni

PeerJ Prepr., 2018

2017

Visualization Methods for Simulation-based Natural Disaster Risk Assessments of Road Networks.

Magnus Heitzler

PhD thesis, 2017

A systematic view on data descriptors for the visual analysis of tabular data.

Hans-Jörg Schulz, Thomas Nocke, Magnus Heitzler, Heidrun Schumann

Inf. Vis., 2017

A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures.

Magnus Heitzler, Juan Carlos Lam, Jürgen Hackl, Bryan T. Adey, Lorenz Hurni

Cartogr. Int. J. Geogr. Inf. Geovisualization, 2017

2013

A Design Space of Visualization Tasks.

Hans-Jörg Schulz, Thomas Nocke, Magnus Heitzler, Heidrun Schumann

IEEE Trans. Vis. Comput. Graph., 2013