geodesic distance

Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features WACV 2022 Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning AAAI 2021 Computationally Tractable Riemannian Manifolds for Graph Embeddings AAAI 2021 Deep Virtual Markers for Articulated 3D Shapes ICCV 2021 Geodesic-HOF: 3D Reconstruction Without Cutting Corners AAAI 2021 HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences CVPR 2021 Learning Interaction Kernels for Agent Systems on Riemannian Manifolds ICML 2021 Matrix factorisation and the interpretation of geodesic distance NeurIPS 2021 On the Distribution of Minima in Intrinsic-Metric Rotation Averaging CVPR 2020 Ultrahyperbolic Representation Learning NeurIPS 2020 ArcFace: Additive Angular Margin Loss for Deep Face Recognition CVPR 2019 Fast Computation of Content-Sensitive Superpixels and Supervoxels Using Q-Distances ICCV 2019 GEOBIT: A Geodesic-Based Binary Descriptor Invariant to Non-Rigid Deformations for RGB-D Images ICCV 2019 Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling CVPR 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold IJCAI 2018 Geodesic Distance Descriptors CVPR 2017 Minimax-optimal semi-supervised regression on unknown manifolds AISTATS 2017 Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds CVPR 2016 Kinematic Structure Correspondences via Hypergraph Matching CVPR 2016 Binary Embedding: Fundamental Limits and Fast Algorithm ICML 2015 EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow CVPR 2015 Geodesic Exponential Kernels: When Curvature and Linearity Conflict CVPR 2015 Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision ICCV 2015 Saliency-Aware Geodesic Video Object Segmentation CVPR 2015