Geometry

A Novel Sliced Fused Gromov-Wasserstein Distance AAAI 2026 Curve Skeletonization in Continuous domain for Meshes and Point Clouds WACV 2026 End-to-End Deep Learning for Predicting Metric Space-Valued Outputs JMLR 2026 Global Focal and Radial Distortion Averaging from Radial Fundamental Matrices for Robust Self-Calibration WACV 2026 Global Fréchet Manifold Learning for Random Objects, With Application to Low-Dimensional Wasserstein Representations of Distributional Data JMLR 2026 Homaloidal parametrization for detecting critical two-view configurations CVPR 2026 Learning Hierarchical Hyperbolic Mixture Model for Part-aware 3D Generation CVPR 2026 Learning Lineage-guided Geodesics with Finsler Geometry UAI 2026 Online Subspace Learning on Flag Manifolds for System Identification L4DC 2026 Optimal Reconstruction from Linear Queries COLT 2026 Parallelised Differentiable Straightest Geodesics for 3D Meshes CVPR 2026 Reconstructing Riemannian Metrics From Random Geometric Graphs COLT 2026 ReManNet: A Riemannian Manifold Network for Monocular 3D Lane Detection CVPR 2026 Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations AAAI 2026 The Geometry of Efficient Nonconvex Sampling COLT 2026 TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology AAAI 2026 Visual Diffusion Models are Geometric Solvers CVPR 2026 Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 A Flag Decomposition for Hierarchical Datasets CVPR 2025 Algorithms for ridge estimation with convergence guarantees JMLR 2025 Approximating Metric Magnitude of Point Sets AAAI 2025 Camera Resection from Known Line Pencils and a Radially Distorted Scanline CVPR 2025 Can Transformers Do Enumerative Geometry? ICLR 2025 Consistent Normal Orientation for 3D Point Clouds via Least Squares on Delaunay Graph CVPR 2025