4 papers · 1 filter
ibUMAP: Coherent and Scalable Field Evaluation for UMAP Optimization
Bin Chen, Yumeng Xue, Patrick Paetzold +2
UMAP achieves scalable layout optimization through stochastic negative sampling. However, this stochasticity can lead to unstable embeddings across reruns and downstream reuse, as…
SNAP-tFDP: Massively Scalable Graph Layouts via Sparse Negative Sampling
Xin Chen, Shuowei Hou, Yifan Wang +5
Force-Directed Placement (FDP) is a widely used approach for network visualization, yet scaling it to massive graphs while preserving clear community structures remains a major com…
Structuring Line Ensembles with Path-Integrated Fidelity and Structural Inconsistency Fields
Yumeng Xue, Patrick Paetzold, Bin Chen +3
When visualizing large-scale line ensembles, trajectory continuity and visual scalability are inherently antagonistic. Trajectory-centric renderings preserve path information but r…
GLidE-SLAM: GL-Accelerated Indirect-Direct Embedded SLAM
Carlos A. Pinheiro de Sousa, Heiko Hamann, Oliver Deussen
With the growing demand for robotics, autonomous drones, and wearable extended reality systems, the deployment of Visual SLAM on embedded devices remains challenging. Tracking must…