Magnus Heitzler

20 papers Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
A novel framework for road vectorization and classification from historical maps based on deep learning and symbol painting.
Comput. Environ. Urban Syst.
Chenjing Jiao, Magnus Heitzler, Lorenz Hurni
2024 J jnl
Probabilistic road classification in historical maps using synthetic data and deep learning.
CoRR
Dominik J. Mühlematter, Sebastian Schweizer, Chenjing Jiao, Xue Xia, Magnus Heitzler, Lorenz Hurni
2024 J jnl
Scale- and Resolution-Adapted Shaded Relief Generation Using U-Net.
ISPRS Int. J. Geo Inf.
Marianna Farmakis-Serebryakova, Magnus Heitzler, Lorenz Hurni
2024 J jnl
Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation.
Int. J. Appl. Earth Obs. Geoinformation
Xue Xia, Tao Zhang, Magnus Heitzler, Lorenz Hurni
2022 J jnl
A fast and effective deep learning approach for road extraction from historical maps by automatically generating training data with symbol reconstruction.
Int. J. Appl. Earth Obs. Geoinformation
Chenjing Jiao, Magnus Heitzler, Lorenz Hurni
2022 J jnl
Inferring Implicit 3D Representations from Human Figures on Pictorial Maps.
CoRR
Raimund Schnürer, A. Cengiz Öztireli, Magnus Heitzler, René Sieber, Lorenz Hurni
2022 J jnl
Terrain Segmentation Using a U-Net for Improved Relief Shading.
ISPRS Int. J. Geo Inf.
Marianna Farmakis-Serebryakova, Magnus Heitzler, Lorenz Hurni
2022 — conf
Unsupervised historical map registration by a deformation neural network.
GeoAI@SIGSPATIAL
Sidi Wu, Raimund Schnürer, Magnus Heitzler, Lorenz Hurni
2021 J jnl
A survey of road feature extraction methods from raster maps.
Trans. GIS
Chenjing Jiao, Magnus Heitzler, Lorenz Hurni
2021 J jnl
Cartographic Relief Shading with Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Bernhard Jenny, Magnus Heitzler, Dilpreet Singh, Marianna Farmakis-Serebryakova, Jeffery Chieh Liu, Lorenz Hurni
2020 J jnl
Cartographic Relief Shading with Neural Networks.
CoRR
Bernhard Jenny, Magnus Heitzler, Dilpreet Singh, Marianna Farmakis-Serebryakova, Jeffery Chieh Liu, Lorenz Hurni
2020 J jnl
Cartographic reconstruction of building footprints from historical maps: A study on the Swiss Siegfried map.
Trans. GIS
Magnus Heitzler, Lorenz Hurni
2020 J jnl
The State of the Art in Map-Like Visualization.
Comput. Graph. Forum
Marius Hogräfer, Magnus Heitzler, Hans-Jörg Schulz
2019 J jnl
The Light Source Metaphor Revisited - Bringing an Old Concept for Teaching Map Projections to the Modern Web.
ISPRS Int. J. Geo Inf.
Magnus Heitzler, Hans-Rudolf Bär, Roland Schenkel, Lorenz Hurni
2018 J jnl
An interactive tool for teaching map projections.
PeerJ Prepr.
Magnus Heitzler, Hans-Rudolf Bär, Roland Schenkel, Lorenz Hurni
2018 J jnl
Stress tests for a road network using fragility functions and functional capacity loss functions.
Reliab. Eng. Syst. Saf.
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
2017 J jnl
A Simulation and Visualization Environment for Spatiotemporal Disaster Risk Assessments of Network Infrastructures.
Cartogr. Int. J. Geogr. Inf. Geovisualization
Magnus Heitzler, Juan Carlos Lam, Jürgen Hackl, Bryan T. Adey, Lorenz Hurni
2017 J jnl
A systematic view on data descriptors for the visual analysis of tabular data.
Inf. Vis.
Hans-Jörg Schulz, Thomas Nocke, Magnus Heitzler, Heidrun Schumann
2017 — —
Visualization Methods for Simulation-based Natural Disaster Risk Assessments of Road Networks.
Magnus Heitzler
2013 J jnl
A Design Space of Visualization Tasks.
IEEE Trans. Vis. Comput. Graph.
Hans-Jörg Schulz, Thomas Nocke, Magnus Heitzler, Heidrun Schumann