Geometry

Curvature Regularization to Prevent Distortion in Graph Embedding NeurIPS 2020 Discovering Synchronized Subsets of Sequences: A Large Scale Solution CVPR 2020 Disentangling by Subspace Diffusion NeurIPS 2020 DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion EMNLP 2020 Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment CVPR 2020 Efficient Derivative Computation for Cumulative B-Splines on Lie Groups CVPR 2020 Fast Unbalanced Optimal Transport on a Tree NeurIPS 2020 From Nesterov’s Estimate Sequence to Riemannian Acceleration COLT 2020 Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020 Geometric All-way Boolean Tensor Decomposition NeurIPS 2020 Geometry Sharing Network for 3D Point Cloud Classification and Segmentation AAAI 2020 Geomstats: A Python Package for Riemannian Geometry in Machine Learning JMLR 2020 In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks CVPR 2020 Locally-Adaptive Nonparametric Online Learning NeurIPS 2020 Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings CVPR 2020 Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information COLING 2020 Manifold structure in graph embeddings NeurIPS 2020 Matérn Gaussian Processes on Riemannian Manifolds NeurIPS 2020 Mesh-Guided Multi-View Stereo With Pyramid Architecture CVPR 2020 Message Passing Least Squares Framework and its Application to Rotation Synchronization ICML 2020 Minimal Solutions for Relative Pose With a Single Affine Correspondence CVPR 2020 Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length CVPR 2020 Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines CVPR 2020 Minimizing Discrete Total Curvature for Image Processing CVPR 2020 Multiparameter Persistence Image for Topological Machine Learning NeurIPS 2020