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Yohanes Yudhi Adikusuma

2 accepted papers

2026

LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence

AAAI 2026technical

Computing geodesic distances on 3D surfaces is fundamental to many tasks in 3D vision and geometry processing, with deep connections to tasks such as shape correspondence. Recent learning-based methods achieve strong performance but rely on large 3D backbones, leading to high memory usage and latenc

Cited by 0SourcePDFScholar
2023

NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries

NeurIPS 2023poster

Geodesics play a critical role in many geometry processing applications. Traditional algorithms for computing geodesics on 3D mesh models are often inefficient and slow, which make them impractical for scenarios requiring extensive querying of arbitrary point-to-point geodesics. Recently, deep impli…