Sidi Wu

Orcid: 0000-0003-1669-6690

Affiliations:
  • ETH Zurich, Switzerland


According to our database1, Sidi Wu authored at least 13 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HolmeSketcher: Generative 3D Sketch Mapping for Spatial Reconstruction in Crime Scene Investigation.
CoRR, April, 2026

Deep learning enables urban change profiling through alignment of historical maps.
CoRR, February, 2026

2025
Order Matters: 3D Shape Generation from Sequential VR Sketches.
CoRR, December, 2025

Leveraging Temporal Gaze Patterns for Intelligent Segmentation in Mobile Eye-Tracking.
Proc. ACM Comput. Graph. Interact. Tech., June, 2025

Deep learning for geographical feature extraction and alignment from heterogeneous (historical) maps.
PhD thesis, 2025

Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers.
Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models.
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Human-Centered Geospatial Computing, 2025

An Efficient System for Automatic Map Storytelling: A Case Study on Historical Maps.
Proceedings of the 28th AGILE Conference on Geographic Information Science, 2025

2024
Dataset for the paper: "StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation", CVPR 2024.
Dataset, June, 2024

A roadmap for generative mapping: unlocking the power of generative AI for map-making.
CoRR, 2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

2022
Unsupervised historical map registration by a deformation neural network.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022


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