geodesic distance

AGENet: Adaptive Edge-aware Geodesic Distance Learning for Few-Shot Medical Image Segmentation WACV 2026 Beyond Endpoints: Path-Centric Reasoning for Vectorized Off-Road Network Extraction CVPR 2026 DecoVLN: Decoupling Observation, Reasoning, and Correction for Vision-and-Language Navigation CVPR 2026 Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation CVPR 2026 Intraoperative 2D/3D Registration via Spherical Similarity Learning and Differentiable Levenberg-Marquardt Optimization WACV 2026 De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs ICML 2025 GeoMM: On Geodesic Perspective for Multi-modal Learning CVPR 2025 NETracer: A Topology-Aware Iterative Tracing Approach for Tubular Structure Extraction ICCV 2025 Probability Density Geodesics in Image Diffusion Latent Space CVPR 2025 Quadratic Gaussian Splatting: High Quality Surface Reconstruction with Second-order Geometric Primitives ICCV 2025 Registration beyond Points: General Affine Subspace Alignment via Geodesic Distance on Grassmann Manifold ICCV 2025 Riemannian-Geometric Fingerprints of Generative Models ICCV 2025 Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding ACL 2024 Finsler-Laplace-Beltrami Operators with Application to Shape Analysis CVPR 2024 Label Propagation for Zero-shot Classification with Vision-Language Models CVPR 2024 SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes ECCV 2024 Wormhole Loss for Partial Shape Matching NeurIPS 2024 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023 DCPB: Deformable Convolution Based on the Poincare Ball for Top-view Fisheye Cameras ICCV 2023 Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance NeurIPS 2023 G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory ICCV 2023 Learning Affinity with Hyperbolic Representation for Spatial Propagation ICML 2023 NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries NeurIPS 2023 Geodesic Self-Attention for 3D Point Clouds NeurIPS 2022 Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth JMLR 2022