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Geometry

720 directly classified papers

Papers per year

Papers

Efficiently escaping saddle points on manifolds NIPS 2019
Micro-Baseline Structured Light ICCV 2019
Tight Lower Bounds on the VC-dimension of Geometric Set Systems JMLR 2019
Visualizing the PHATE of Neural Networks NIPS 2019
Hyperbolic Heterogeneous Information Network Embedding AAAI 2019
Selecting the independent coordinates of manifolds with large aspect ratios NIPS 2019
Escaping from saddle points on Riemannian manifolds NIPS 2019
An Approach to One-Bit Compressed Sensing Based on Probably Approximately Correct Learning Theory JMLR 2019
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data JMLR 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019
Perturbation Analysis of the 8-Point Algorithm: A Case Study for Wide FoV Cameras CVPR 2019
Linear-Complexity Data-Parallel Earth Mover’s Distance Approximations ICML 2019
Active Manifolds: A non-linear analogue to Active Subspaces ICML 2019
Differentially Private Learning of Geometric Concepts ICML 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019
Voronoi Boundary Classification: A High-Dimensional Geometric Approach via Weighted Monte Carlo Integration ICML 2019
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis JMLR 2019
Combining 3D Morphable Models: A Large Scale Face-And-Head Model CVPR 2019
Radial Distortion Triangulation CVPR 2019
Riemannian adaptive stochastic gradient algorithms on matrix manifolds ICML 2019
Fitting Multiple Heterogeneous Models by Multi-Class Cascaded T-Linkage CVPR 2019
The Value Function Polytope in Reinforcement Learning ICML 2019
An Efficient Solution to the Homography-Based Relative Pose Problem With a Common Reference Direction ICCV 2019
QUARCH: A New Quasi-Affine Reconstruction Stratum From Vague Relative Camera Orientation Knowledge ICCV 2019
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning CORL 2019