activity
20232026
most citedCross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps

7 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Deep learning enables urban change profiling through alignment of historical maps

Sidi Wu, Yizi Chen, Maurizio Gribaudi +4

Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving identity of cities. Howev…

cs.CV2025

Order Matters: 3D Shape Generation from Sequential VR Sketches

Yizi Chen, Sidi Wu, Tianyi Xiao +2

VR sketching lets users explore and iterate on ideas directly in 3D, offering a faster and more intuitive alternative to conventional CAD tools. However, existing sketch-to-shape m…

cs.CV2025★ 1 cited

Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers

Claudio Affolter, Sidi Wu, Yizi Chen +1

Traditional map-making relies heavily on Geographic Information Systems (GIS), requiring domain expertise and being time-consuming, especially for repetitive tasks. Recent advances…

cs.CV2024

An Efficient System for Automatic Map Storytelling -- A Case Study on Historical Maps

Ziyi Liu, Claudio Affolter, Sidi Wu +2

Historical maps provide valuable information and knowledge about the past. However, as they often feature non-standard projections, hand-drawn styles, and artistic elements, it is…

cs.AI2024

A roadmap for generative mapping: unlocking the power of generative AI for map-making

Sidi Wu, Katharina Henggeler, Yizi Chen +1

Maps are broadly relevant across various fields, serving as valuable tools for presenting spatial phenomena and communicating spatial knowledge. However, map-making is still largel…

cs.CV2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

Sidi Wu, Yizi Chen, Samuel Mermet +4

Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains. However, this assumption does no…

cs.CV2023★ 7 cited

Cross-attention Spatio-temporal Context Transformer for Semantic Segmentation of Historical Maps

Sidi Wu, Yizi Chen, Konrad Schindler +1

Historical maps provide useful spatio-temporal information on the Earth's surface before modern earth observation techniques came into being. To extract information from maps, neur…