| Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets. | 0 | 0.34 | 2022 |
| DeepCurrents: Learning Implicit Representations of Shapes with Boundaries | 0 | 0.34 | 2022 |
| Co-Optimization of Design and Fabrication Plans for Carpentry | 0 | 0.34 | 2022 |
| Volumetric Parameterization of the Placenta to a Flattened Template | 0 | 0.34 | 2022 |
| $k$-Variance: A Clustered Notion of Variance. | 0 | 0.34 | 2022 |
| Sum-of-squares geometry processing | 0 | 0.34 | 2021 |
| Large-Scale Wasserstein Gradient Flows. | 0 | 0.34 | 2021 |
| Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization | 0 | 0.34 | 2021 |
| Incorporating Unlabeled Data into Distributionally Robust Learning. | 0 | 0.34 | 2021 |
| Polygonal Building Extraction by Frame Field Learning | 1 | 0.36 | 2021 |
| Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark. | 0 | 0.34 | 2021 |
| Outlier-Robust Optimal Transport | 0 | 0.34 | 2021 |
| Pareto gamuts: exploring optimal designs across varying contexts | 0 | 0.34 | 2021 |
| Improving approximate optimal transport distances using quantization. | 0 | 0.34 | 2021 |
| DETR3D - 3D Object Detection from Multi-view Images via 3D-to-2D Queries. | 0 | 0.34 | 2021 |
| Object DGCNN: 3D Object Detection using Dynamic Graphs. | 0 | 0.34 | 2021 |
| Fast quasi-harmonic weights for geometric data interpolation | 0 | 0.34 | 2021 |
| Learning Manifold Patch-Based Representations of Man-Made Shapes | 0 | 0.34 | 2021 |
| HodgeNet: learning spectral geometry on triangle meshes | 1 | 0.34 | 2021 |
| Interactive all-hex meshing via cuboid decomposition | 0 | 0.34 | 2021 |
| Model Fusion with Kullback--Leibler Divergence | 0 | 0.34 | 2020 |
| Continuous Regularized Wasserstein Barycenters | 0 | 0.34 | 2020 |
| Octahedral Frames for Feature-Aligned Cross Fields | 0 | 0.34 | 2020 |
| Algebraic Representations for Volumetric Frame Fields | 0 | 0.34 | 2020 |
| Medial Axis Isoperimetric Profiles | 0 | 0.34 | 2020 |
| Geometry Of Graph Partitions Via Optimal Transport | 0 | 0.34 | 2020 |
| Hexahedral Mesh Repair via Sum-of-Squares Relaxation. | 0 | 0.34 | 2020 |
| Deep Sketch-Based Modeling of Man-Made Shapes. | 0 | 0.34 | 2019 |
| Optimal transport-based polar interpolation of directional fields | 0 | 0.34 | 2019 |
| Alleviating Label Switching with Optimal Transport | 0 | 0.34 | 2019 |
| Vectorization of Line Drawings via PolyVector Fields. | 5 | 0.40 | 2019 |
| Total Variation Isoperimetric Profiles | 0 | 0.34 | 2019 |
| Deep Closest Point: Learning Representations For Point Cloud Registration | 15 | 0.56 | 2019 |
| PRNet: Self-Supervised Learning for Partial-to-Partial Registration | 1 | 0.35 | 2019 |
| Placental Flattening via Volumetric Parameterization. | 0 | 0.34 | 2019 |
| Deep Parametric Shape Predictions Using Distance Fields | 4 | 0.39 | 2019 |
| Hierarchical Optimal Transport for Document Representation. | 0 | 0.34 | 2019 |
| Learning Embeddings into Entropic Wasserstein Spaces. | 0 | 0.34 | 2019 |
| Steklov Spectral Geometry for Extrinsic Shape Analysis. | 0 | 0.34 | 2019 |
| Audio Transport: A Generalized Portamento via Optimal Transport. | 0 | 0.34 | 2019 |
| Kernel Functional Maps. | 2 | 0.36 | 2018 |
| Optimal Transport on Discrete Domains. | 4 | 0.41 | 2018 |
| Singularity Constrained Octahedral Fields for Hexahedral Meshing | 4 | 0.38 | 2018 |
| Dynamic Graph CNN for Learning on Point Clouds. | 232 | 5.26 | 2018 |
| Functional Maps on Product Manifolds. | 0 | 0.34 | 2018 |
| Interactive Curve Constrained Functional Maps. | 1 | 0.35 | 2018 |
| Functional Maps Representation on Product Manifolds. | 2 | 0.37 | 2018 |
| Wasserstein Coresets for Lipschitz Costs. | 0 | 0.34 | 2018 |
| Quadratically Regularized Optimal Transport on Graphs | 1 | 0.35 | 2018 |
| Gerrymandering And Compactness: Implementation Flexibility And Abuse | 1 | 0.36 | 2018 |
