CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences | Paper Citation Record

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This paper cites Scape: shape completion and animation of people.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Scape: shape completion and animation of people

Reference 1

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Observation f1081720-a3a1-424b-bc10-c772f0c947a2 · outbound

This paper cites Understanding and improving features learned in deep functional maps.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Understanding and improving features learned in deep functional maps

Reference 2

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This paper cites DPFM: Deep Partial Functional Maps.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences DPFM: Deep Partial Functional Maps

Reference 3

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Observation fd19ebb8-fc58-479a-a64b-245bf4143031 · outbound

This paper cites The wave kernel signature: A quantum mechanical approach to shape analysis.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences The wave kernel signature: A quantum mechanical approach to shape analysis

Reference 4

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This paper cites an unresolved cited work.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Unresolved cited work

Reference 5

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Observation 7a66fc56-d4d4-4294-b07b-8d2356c0789b · outbound

This paper cites Faust: Dataset and evaluation for 3d mesh registration.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Faust: Dataset and evaluation for 3d mesh registration

Reference 6

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This paper cites Self-supervised learn- ing for multimodal non-rigid 3d shape matching.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Self-supervised learn- ing for multimodal non-rigid 3d shape matching

Reference 7

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Observation f17fd917-ab93-4672-9d58-6f520f03f3a5 · outbound

This paper cites Unsu- pervised learning of robust spectral shape matching.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Unsu- pervised learning of robust spectral shape matching

Reference 8

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Observation fd1100f5-9660-44af-96da-ab7d1abc5976 · outbound

This paper cites Geometric diffusions as a tool for harmonic anal- ysis and structure definition of data: Diffusion maps.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Geometric diffusions as a tool for harmonic anal- ysis and structure definition of data: Diffusion maps

Reference 9

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Observation 42c26c73-99f0-47bf-9841-b63873ee6de9 · outbound

This paper cites Shrec’16: Partial matching of deformable shapes.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Shrec’16: Partial matching of deformable shapes

Reference 10

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Observation 5e67508e-dfd8-4da0-a81d-57a513127ac6 · outbound

This paper cites Dyke, and Juyong Zhang.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Dyke, and Juyong Zhang

Reference 11

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Observation 968dd594-82f1-4fef-9fb2-392c5888ca4b · outbound

This paper cites Vector Neurons: A General Framework for SO(3)-Equivariant Networks.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Reference 12

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Observation 469b48a2-753e-440b-bee7-03364418e3dc · outbound

This paper cites Deep geometric functional maps: Robust feature learning for shape correspondence.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Deep geometric functional maps: Robust feature learning for shape correspondence

Reference 13

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Observation fe1ded05-30a8-413f-964b-9f25c26b5d55 · outbound

This paper cites Deep geometric functional maps: Robust feature learning for shape correspondence.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Deep geometric functional maps: Robust feature learning for shape correspondence

Reference 14

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This paper cites G-msm: Unsupervised multi-shape match- ing with graph-based affinity priors.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences G-msm: Unsupervised multi-shape match- ing with graph-based affinity priors

Reference 15

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Observation 2ec5b628-4473-4bf2-b444-c45b61fec9dd · outbound

This paper cites Bronstein, Klaus Glashoff, and Alexander M.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Bronstein, Klaus Glashoff, and Alexander M

Reference 16

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Observation f93e5a18-99a2-4cd2-b123-8e20646eb4ef · outbound

This paper cites Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Reference 17

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Observation 3da29d4f-9e17-4e41-8472-e15c1c2c9783 · outbound

This paper cites 3d-coded: 3d cor- respondences by deep deformation.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences 3d-coded: 3d cor- respondences by deep deformation

Reference 18

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Observation 6f61046e-66cc-4910-ac2b-4d1dd6d528e4 · outbound

This paper cites Denoising diffu- sion probabilistic models.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Denoising diffu- sion probabilistic models

Reference 19

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Observation 3e769732-2564-4767-b76b-6a83af910142 · outbound

This paper cites Guibas, and Shi-Min Hu.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Guibas, and Shi-Min Hu

Reference 20

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Observation 5a14e677-bb1f-48ef-bdea-0eaae9461675 · outbound

This paper cites Neural intrinsic embedding for non-rigid point cloud matching.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Neural intrinsic embedding for non-rigid point cloud matching

Reference 21

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Observation 4efeb39e-ea43-4591-bc5c-f2882acd1e0c · outbound

This paper cites Bronstein, Alexander M.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Bronstein, Alexander M

Reference 22

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Observation 4e5eb030-8b85-45f7-b3e6-181251cd215b · outbound

This paper cites Shrec’16: Matching of deformable shapes with topological noise.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Shrec’16: Matching of deformable shapes with topological noise

Reference 23

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Observation 1055653c-81b5-4562-88f0-0eec85002328 · outbound

This paper cites Learning multi-resolution functional maps with spectral attention for robust shape matching.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Learning multi-resolution functional maps with spectral attention for robust shape matching

Reference 24

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This paper cites 4dcomplete: Non-rigid motion esti- mation beyond the observable surface.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences 4dcomplete: Non-rigid motion esti- mation beyond the observable surface

Reference 25

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Observation 8b39f4d5-b5be-4296-b7e9-264b8963750d · outbound

This paper cites Deep functional maps: Structured prediction for dense shape correspondence.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Deep functional maps: Structured prediction for dense shape correspondence

Reference 26

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Observation b2bc063c-b10d-46e2-b27d-d7cdc17c8b7c · outbound

This paper cites Smooth non-rigid shape matching via effective dirichlet energy optimization.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Smooth non-rigid shape matching via effective dirichlet energy optimization

Reference 27

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Observation 03cd3adf-bf6e-4eb2-8cec-0b80f99859fc · outbound

This paper cites Correspondence learning via linearly- invariant embedding.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Correspondence learning via linearly- invariant embedding

Reference 28

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This paper cites Shrec 2019: Matching humans with dif- ferent connectivity.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Shrec 2019: Matching humans with dif- ferent connectivity

Reference 29

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This paper cites Functional maps: a flexible representation of maps between shapes.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Functional maps: a flexible representation of maps between shapes

Reference 30

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Observation 48a8e4ac-0a46-4f9d-b1c9-f9c40dcd3736 · outbound

This paper cites Point cloud-based automatic assessment of 3d computer animation course- works.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Point cloud-based automatic assessment of 3d computer animation course- works

Reference 31

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This paper cites Pytorch: An imperative style, high-performance deep learning library.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Pytorch: An imperative style, high-performance deep learning library

Reference 32

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Observation a254bcc4-62d6-42ee-b92f-4821a9fa0ee1 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 33

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This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 34

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Observation eb54e7c5-b6a2-448b-92c9-93ba6886eea3 · outbound

This paper cites Continuous and orientation-preserving correspon- dences via functional maps.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Continuous and orientation-preserving correspon- dences via functional maps

Reference 35

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This paper cites Hierarchical shape segmentation and registra- tion via topological features of laplace-beltrami eigenfunc- tions.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Hierarchical shape segmentation and registra- tion via topological features of laplace-beltrami eigenfunc- tions

Reference 36

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Observation b909399d-0b2e-4699-9da2-4f3603d69eee · outbound

This paper cites Laplace-beltrami spectra as ’shape-dna’ of surfaces and solids.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Laplace-beltrami spectra as ’shape-dna’ of surfaces and solids

Reference 37

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Observation cd855079-069c-4130-b9e5-be7b75825cb4 · outbound

This paper cites Partial functional corre- spondence.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Partial functional corre- spondence

Reference 38

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This paper cites Rustamov.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Rustamov

Reference 39

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This paper cites Recent advances in shape correspon- dence.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Recent advances in shape correspon- dence

Reference 40

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This paper cites Shot: Unique signatures of histograms for surface and tex- ture description.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Shot: Unique signatures of histograms for surface and tex- ture description

Reference 41

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Observation bbc6a3b2-fbee-467d-9c9a-d2a2fe2daa81 · outbound

This paper cites Global matching of point clouds for scan registration and loop detection.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Global matching of point clouds for scan registration and loop detection

Reference 42

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This paper cites Weakly supervised deep functional maps for shape matching.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Weakly supervised deep functional maps for shape matching

Reference 43

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This paper cites A Laplacian for Non- manifold Triangle Meshes.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences A Laplacian for Non- manifold Triangle Meshes

Reference 44

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This paper cites Diffusionnet: Discretization agnostic learning on surfaces.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Diffusionnet: Discretization agnostic learning on surfaces

Reference 45

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Observation 9dd27d96-56bb-4600-8eb4-278f6ced42ed · outbound

This paper cites Score-based generative modeling through stochastic differential equa- tions.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Score-based generative modeling through stochastic differential equa- tions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:42:37.851875Z

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This paper cites A brief introduction to statistical shape analysis.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences A brief introduction to statistical shape analysis

Reference 47

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Observation 8411764c-bbee-470a-8ab0-ead690443b6b · outbound

This paper cites A concise and provably informative multi-scale signature based on heat diffusion.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences A concise and provably informative multi-scale signature based on heat diffusion

Reference 48

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This paper cites Multidimensional scaling: I.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Multidimensional scaling: I

Reference 49

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Observation e9106068-ac29-446c-93c0-a6b0bc5bb738 · outbound

This paper cites Learning from synthetic humans.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Learning from synthetic humans

Reference 50

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Observation 168c09a8-b1f1-4d68-bf30-650e9232f257 · outbound

This paper cites Attention is all you need.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Attention is all you need

Reference 51

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This paper cites an unresolved cited work.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:42:37.782757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39ccd680-0114-44f1-96e2-9dd856ff5a81 · outbound

This paper cites Sarma, Michael M.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Sarma, Michael M

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:42:37.770764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7d42918-dbd1-42e9-8466-5705898600d3 · outbound

This paper cites Geodesicembedding (ge): A high-dimensional embedding approach for fast geodesic distance queries.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Geodesicembedding (ge): A high-dimensional embedding approach for fast geodesic distance queries

Reference 54

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T20:42:37.757960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8af490e6-912e-4458-af3f-a7b6dad05c3d · outbound

This paper cites This property leads to its widespread application in compu- tational geometry and computer graphics, especially when dealing with curved surfaces or manifolds.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences This property leads to its widespread application in compu- tational geometry and computer graphics, especially when dealing with curved surfaces or manifolds

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:42:37.745346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff28bf10-b2df-4ea6-a7b5-14b47471018c · outbound

This paper cites The embed- ding extractor is based on the ASAP DiffusionNet with the default configuration published in [2] and the cross atten- tion block is based on the implementation in [3].

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences The embed- ding extractor is based on the ASAP DiffusionNet with the default configuration published in [2] and the cross atten- tion block is based on the implementation in [3]

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:42:37.725175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6acc060a-8b0c-434b-ac6e-626b89f68f68 · outbound

This paper cites frequency-aligned.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences frequency-aligned

Reference 57

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T20:42:37.707666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 950dab57-2550-4acc-b0b7-071d9f9d3caf · outbound

This paper cites an unresolved cited work.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:42:37.586663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a062be0b-a56b-4d18-abf7-82909e021717 · outbound

This paper cites See figure captions for explanation.

CoE: Deep Coupled Embedding for Non-Rigid Point Cloud Correspondences See figure captions for explanation

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:42:37.573853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers