activity
20242026
collaborators

8 papers

cs.CV2026

LAMES: A Large-Scale and Artisanal Mining Environmental Segmentation Dataset

Matthias Kahl, Zhaiyu Chen, Sudipan Saha +3

Mining operations are of utmost importance to the economy of some nations. However, such operations result in land-use change, very high energy consumption, and negative impacts on…

cs.CV2026

Unified Primitive Proxies for Structured Shape Completion

Zhaiyu Chen, Yuqing Wang, Xiao Xiang Zhu

Structured shape completion recovers missing geometry as primitives rather than as unstructured points, which enables primitive-based surface reconstruction. Instead of following t…

cs.CV2026

Reconstructing Building Height from Spaceborne TomoSAR Point Clouds Using a Dual-Topology Network

Zhaiyu Chen, Yuanyuan Wang, Yilei Shi +1

Reliable building height estimation is essential for various urban applications. Spaceborne SAR tomography (TomoSAR) provides weather-independent, side-looking observations that ca…

cs.CV2025

Learning Generalizable Shape Completion with SIM(3) Equivariance

Yuqing Wang, Zhaiyu Chen, Xiao Xiang Zhu

3D shape completion methods typically assume scans are pre-aligned to a canonical frame. This leaks pose and scale cues that networks may exploit to memorize absolute positions rat…

cs.CV2025

TUM2TWIN: Introducing the Large-Scale Multimodal Urban Digital Twin Benchmark Dataset

Olaf Wysocki, Benedikt Schwab, Manoj Kumar Biswanath +31

Urban Digital Twins (UDTs) have become essential for managing cities and integrating complex, heterogeneous data from diverse sources. Creating UDTs involves challenges at multiple…

cs.CV2025

Parametric Point Cloud Completion for Polygonal Surface Reconstruction

Zhaiyu Chen, Yuqing Wang, Liangliang Nan +1

Existing polygonal surface reconstruction methods heavily depend on input completeness and struggle with incomplete point clouds. We argue that while current point cloud completion…