Interpolated Convolutional Networks for 3D Point Cloud Understanding | Paper Citation Record

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This paper cites 3d semantic parsing of large-scale indoor spaces.

Interpolated Convolutional Networks for 3D Point Cloud Understanding 3d semantic parsing of large-scale indoor spaces

Reference 1

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Observation 79323366-395b-42dd-ab68-c7ac35b3d295 · outbound

This paper cites Point Convolutional Neural Networks by Extension Operators.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Point Convolutional Neural Networks by Extension Operators

Reference 2

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This paper cites 3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding 3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural Networks

Reference 3

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This paper cites Generative and Discriminative Voxel Modeling with Convolutional Neural Networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Reference 4

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This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Interpolated Convolutional Networks for 3D Point Cloud Understanding ShapeNet: An Information-Rich 3D Model Repository

Reference 5

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This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 6

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Observation 518d5c7d-816b-449d-a310-e753cf54719d · outbound

This paper cites Multi-view 3d object detection network for autonomous driving.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Multi-view 3d object detection network for autonomous driving

Reference 7

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Observation 3506412b-e1ac-4cee-bced-b908f287b2a0 · outbound

This paper cites 3dcapsule: Extending the capsule architecture to classify 3d point clouds.

Interpolated Convolutional Networks for 3D Point Cloud Understanding 3dcapsule: Extending the capsule architecture to classify 3d point clouds

Reference 8

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Observation 0191ebf4-b669-418d-84eb-ae1cadab3e3d · outbound

This paper cites Deformable convolutional networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Deformable convolutional networks

Reference 9

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Observation a578bfeb-7b1e-44c4-8c19-017249641a9b · outbound

This paper cites 3d semantic segmentation with submanifold sparse convolutional networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding 3d semantic segmentation with submanifold sparse convolutional networks

Reference 10

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Observation f93e7db6-54e8-47d2-8329-d9d6440561cb · outbound

This paper cites Point- wise convolutional neural networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Point- wise convolutional neural networks

Reference 11

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Observation ed5d593b-9829-417b-b5d0-2bc98d9e8202 · outbound

This paper cites Re- current slice networks for 3d segmentation of point clouds.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Re- current slice networks for 3d segmentation of point clouds

Reference 12

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Observation e36cedce-0a47-4d04-8728-d771877e57b8 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 13

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Observation 10e40acb-7a24-40f8-8e82-0485d022b2c7 · outbound

This paper cites PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

Interpolated Convolutional Networks for 3D Point Cloud Understanding PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation

Reference 14

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Observation ff36fa49-34d0-4459-b2d5-f94488ba2db0 · outbound

This paper cites Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints

Reference 15

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Observation e14ee660-a9a5-4b66-bcf8-9f482a7716b1 · outbound

This paper cites Escape from cells: Deep kd-networks for the recognition of 3d point cloud mod- els.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Escape from cells: Deep kd-networks for the recognition of 3d point cloud mod- els

Reference 16

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Observation 94269038-6fca-402c-9acb-0322e2d3fef4 · outbound

This paper cites Imagenet classiﬁcation with deep convolutional neural net- works.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Imagenet classiﬁcation with deep convolutional neural net- works

Reference 17

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Observation 1fca169e-712a-4129-a81a-fd4a8f467ba9 · outbound

This paper cites Large-scale point cloud semantic segmentation with superpoint graphs.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Large-scale point cloud semantic segmentation with superpoint graphs

Reference 18

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Observation 102a9f33-f93b-46ae-93bf-6d65e9089ab5 · outbound

This paper cites So-net: Self- organizing network for point cloud analysis.

Interpolated Convolutional Networks for 3D Point Cloud Understanding So-net: Self- organizing network for point cloud analysis

Reference 19

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Observation 15ca365d-cb21-417b-9942-fa528c93f7a1 · outbound

This paper cites Pointcnn: Convolution on x-transformed points.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Pointcnn: Convolution on x-transformed points

Reference 20

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Observation c2bf4f72-bb99-4a03-a446-59c045b219b8 · outbound

This paper cites Fpnn: Field probing neural networks for 3d data.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Fpnn: Field probing neural networks for 3d data

Reference 21

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Observation bd65ae52-7619-47ee-82d4-a6279849a21e · outbound

This paper cites Gated Graph Sequence Neural Networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Gated Graph Sequence Neural Networks

Reference 22

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Observation 3c1a5312-d078-4c4f-be1e-2bc57f91be96 · outbound

This paper cites Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Reference 23

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Observation d3a95fa2-93c2-4fbf-a382-b6abc304a814 · outbound

This paper cites V oxnet: A 3d con- volutional neural network for real-time object recognition.

Interpolated Convolutional Networks for 3D Point Cloud Understanding V oxnet: A 3d con- volutional neural network for real-time object recognition

Reference 24

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Observation 75c9bb51-312c-4e48-a6b7-e81ff70c8d93 · outbound

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

Interpolated Convolutional Networks for 3D Point Cloud Understanding Pointnet: Deep learning on point sets for 3d classiﬁcation and segmentation

Reference 25

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Observation 8dd95d07-d615-4d34-8b49-35986566ca3e · outbound

This paper cites V olumetric and multi-view cnns for object classiﬁcation on 3d data.

Interpolated Convolutional Networks for 3D Point Cloud Understanding V olumetric and multi-view cnns for object classiﬁcation on 3d data

Reference 26

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Observation d3feb976-b827-4002-a20b-a037dbff094d · outbound

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

Interpolated Convolutional Networks for 3D Point Cloud Understanding Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.760229Z

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Observation 0f7ed3c7-951f-4c8b-9254-1cffd3aed5cb · outbound

This paper cites 3d graph neural networks for rgbd semantic seg- mentation.

Interpolated Convolutional Networks for 3D Point Cloud Understanding 3d graph neural networks for rgbd semantic seg- mentation

Reference 28

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Observation cb4461bc-1cf9-489d-8634-f813eb613fe5 · outbound

This paper cites Fully-convolutional point networks for large-scale point clouds.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Fully-convolutional point networks for large-scale point clouds

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.738936Z

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Observation 4ce7f744-20f1-4ec9-a4ae-daa8d379ce79 · outbound

This paper cites Octnet: Learning deep 3d representations at high resolutions.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Octnet: Learning deep 3d representations at high resolutions

Reference 30

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Observation 748a5899-36be-4757-83d7-4bc497d0b636 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

Interpolated Convolutional Networks for 3D Point Cloud Understanding U- net: Convolutional networks for biomedical image segmen- tation

Reference 31

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Observation f6385105-311c-4c00-96d8-e70e9b3f1d73 · outbound

This paper cites Towards 3d point cloud based object maps for household environments.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Towards 3d point cloud based object maps for household environments

Reference 32

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Observation 3b5d1527-9352-4e05-8b21-319b61b52770 · outbound

This paper cites The graph neural network model.

Interpolated Convolutional Networks for 3D Point Cloud Understanding The graph neural network model

Reference 33

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Observation 50dac1a0-60f9-4c75-90d2-94fb7c91262e · outbound

This paper cites Min- ing point cloud local structures by kernel correlation and graph pooling.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Min- ing point cloud local structures by kernel correlation and graph pooling

Reference 34

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Observation 9b95b46d-aaeb-489b-8efb-916689cd5b46 · outbound

This paper cites Dynamic edge- conditioned ﬁlters in convolutional neural networks on graphs.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Dynamic edge- conditioned ﬁlters in convolutional neural networks on graphs

Reference 35

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Observation 2a38d536-f7e3-4a7c-ad4a-e0cac99477e5 · outbound

This paper cites Splatnet: Sparse lattice networks for point cloud processing.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Splatnet: Sparse lattice networks for point cloud processing

Reference 36

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Observation 7bc2491b-2965-417e-bef9-3036074b9dd7 · outbound

This paper cites Multi-view convolutional neural networks for 3d shape recognition.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Multi-view convolutional neural networks for 3d shape recognition

Reference 37

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Observation acb7d655-8510-4ccf-8eb5-ac4c370aa9cd · outbound

This paper cites Going deeper with convolutions.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Going deeper with convolutions

Reference 38

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Observation c94f3928-df82-4ba4-9cb4-36e710229a7a · outbound

This paper cites Tangent convolutions for dense prediction in 3d.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Tangent convolutions for dense prediction in 3d

Reference 39

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Observation d182cfe3-459b-4601-9e12-4a034ceebaac · outbound

This paper cites Dominant set clustering and pooling for multi-view 3d object recogni- tion.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Dominant set clustering and pooling for multi-view 3d object recogni- tion

Reference 40

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Observation 70b8cc64-38ff-41d9-b7e0-9eb586874772 · outbound

This paper cites Local spec- tral graph convolution for point set feature learning.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Local spec- tral graph convolution for point set feature learning

Reference 41

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Observation 66147807-26cb-4f38-aee4-6ef61d0efa0d · outbound

This paper cites V oting for voting in online point cloud object detection.

Interpolated Convolutional Networks for 3D Point Cloud Understanding V oting for voting in online point cloud object detection

Reference 42

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Observation b70624ee-d6bb-4a84-994a-75a74e60d4b7 · outbound

This paper cites Deep parametric continu- ous convolutional neural networks.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Deep parametric continu- ous convolutional neural networks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.578543Z

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Observation cb085604-5b40-4bdf-925d-159d7614372a · outbound

This paper cites Sgpn: Similarity group proposal network for 3d point cloud instance segmentation.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Sgpn: Similarity group proposal network for 3d point cloud instance segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.564666Z

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Observation 2afadddc-26fa-49aa-904b-f93e65ead55f · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Dynamic Graph CNN for Learning on Point Clouds

Reference 45

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Observation fc664ae0-3131-4edd-b582-acf7abc6f15c · outbound

This paper cites PointConv: Deep Convolutional Networks on 3D Point Clouds.

Interpolated Convolutional Networks for 3D Point Cloud Understanding PointConv: Deep Convolutional Networks on 3D Point Clouds

Reference 46

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Observation 2e24f331-f1f7-406d-9ba6-d61b662300f0 · outbound

This paper cites At- tentional shapecontextnet for point cloud recognition.

Interpolated Convolutional Networks for 3D Point Cloud Understanding At- tentional shapecontextnet for point cloud recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.552070Z

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Observation 871111a8-457c-4edb-92b0-9d9b0fb0c9cb · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 48

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Observation 56417736-b1ab-4595-a6c7-496300aae0f2 · outbound

This paper cites Spidercnn: Deep learning on point sets with parameterized convolutional ﬁlters.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Spidercnn: Deep learning on point sets with parameterized convolutional ﬁlters

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.539358Z

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Observation 37ec13e0-2454-446f-adb5-4f11785e5ecf · outbound

This paper cites A scalable active framework for re- gion annotation in 3d shape collections.

Interpolated Convolutional Networks for 3D Point Cloud Understanding A scalable active framework for re- gion annotation in 3d shape collections

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.527338Z

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Observation f1b77105-850c-4168-b0ad-85e0464c4cb0 · outbound

This paper cites Sync- speccnn: Synchronized spectral cnn for 3d shape segmenta- tion.

Interpolated Convolutional Networks for 3D Point Cloud Understanding Sync- speccnn: Synchronized spectral cnn for 3d shape segmenta- tion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:46:05.516175Z

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