A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning | Paper Citation Record

Observation 3f5bd9aa-b328-4f1f-bfc6-b0da24fa04e0 · outbound

This paper cites Learning representations and generative models for 3D point clouds.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Learning representations and generative models for 3D point clouds

Reference 1

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 2

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Observation df75aede-e94b-4968-9bc4-ebb73c22ad3e · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning BEiT: BERT Pre-Training of Image Transformers

Reference 3

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This paper cites Czar- necki.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Czar- necki

Reference 4

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Observation db9ace68-d583-4f5e-8032-0e59b7bba87c · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 5

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Observation 5fda480a-6cd1-4099-b689-1f67c7b6660e · outbound

This paper cites Unsupervised Learning of Visual Features by Contrasting Cluster Assignments.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Reference 6

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Observation 6187b939-0b56-4a84-866b-72ec6b1e2212 · outbound

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

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning ShapeNet: An Information-Rich 3D Model Repository

Reference 7

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This paper cites Crossvit: Cross-attention multi-scale vision transformer for image classification.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 347–356, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Crossvit: Cross-attention multi-scale vision transformer for image classification.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 347–356, 2021

Reference 8

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Observation 7c4e7ac8-27ce-46f8-9197-955c99f48c0b · outbound

This paper cites A Simple Framework for Contrastive Learning of Visual Representations.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning A Simple Framework for Contrastive Learning of Visual Representations

Reference 9

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Observation 3479c1d9-c3f0-4ace-8fe4-02ee3c4bd886 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Exploring simple siamese rep- resentation learning

Reference 10

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 11

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Observation 7f0840ef-5b00-447b-9223-70f43eebe4c3 · outbound

This paper cites Shape self- correction for unsupervised point cloud understanding.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 8362–8371, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Shape self- correction for unsupervised point cloud understanding.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 8362–8371, 2021

Reference 12

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Observation 9214b796-e2c9-4b1a-a821-10794d78ee09 · outbound

This paper cites PatchFormer: An Efficient Point Transformer with Patch Attention.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning PatchFormer: An Efficient Point Transformer with Patch Attention

Reference 13

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Observation abb3f524-dfc1-4ec1-b602-dca540d58e7f · outbound

This paper cites CycleGAN, a Master of Steganography.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning CycleGAN, a Master of Steganography

Reference 14

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Observation f940bff9-71a6-46b5-aa71-e8c249fa6e2c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation 635aae4f-25ba-4b38-bdf5-083c3da4c36f · outbound

This paper cites Self-contrastive learning with hard negative sampling for self-supervised point cloud learning.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Self-contrastive learning with hard negative sampling for self-supervised point cloud learning

Reference 16

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Observation 36db69c3-bc43-47f8-8cd9-e0aeb7ff3326 · outbound

This paper cites Self-contrastive learning with hard negative sampling for self-supervised point cloud learning.Proceedings of the 29th ACM Inter- national Conference on Multimedia, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Self-contrastive learning with hard negative sampling for self-supervised point cloud learning.Proceedings of the 29th ACM Inter- national Conference on Multimedia, 2021

Reference 17

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 18

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 19

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 20

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Observation 81ea41bc-5cf7-45a1-955c-61dbf31f6cc6 · outbound

This paper cites Support vec- tor machines: Theory and applications.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Support vec- tor machines: Theory and applications

Reference 21

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This paper cites Object classification from a single example utilizing class relevance metrics.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Object classification from a single example utilizing class relevance metrics

Reference 22

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Observation 1d99a1d3-35dc-463d-8a53-261415be02d2 · outbound

This paper cites Mul- tiresolution tree networks for 3D point cloud processing.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Mul- tiresolution tree networks for 3D point cloud processing

Reference 23

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Observation f7e3f7ed-2356-40e5-9273-6fe682efb3ae · outbound

This paper cites Pct: Point cloud transformer.Comput.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Pct: Point cloud transformer.Comput

Reference 24

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 25

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Observation 2008b769-9b11-424d-925f-766b84508d53 · outbound

This paper cites Unsupervised multi-task feature learning on point clouds.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unsupervised multi-task feature learning on point clouds

Reference 26

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This paper cites Girshick.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Girshick

Reference 27

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Observation e59ff7df-ce31-4f8f-8a69-f331b6209a2d · outbound

This paper cites Girshick.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Girshick

Reference 28

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Observation 60f7d9db-26d0-4229-9aa6-6443acaba558 · outbound

This paper cites Spatio-temporal self-supervised representation learning for 3d point clouds.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 6515–6525, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Spatio-temporal self-supervised representation learning for 3d point clouds.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 6515–6525, 2021

Reference 29

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This paper cites Pyramid point cloud transformer for large-scale place recog- nition.2021 IEEE/CVF International Conference on Com- puter Vision (ICCV), pages 6078–6087, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Pyramid point cloud transformer for large-scale place recog- nition.2021 IEEE/CVF International Conference on Com- puter Vision (ICCV), pages 6078–6087, 2021

Reference 30

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 31

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This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 32

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This paper cites A style-based generator architecture for generative adversarial networks.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning A style-based generator architecture for generative adversarial networks

Reference 33

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This paper cites Stratified trans- former for 3d point cloud segmentation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8490–8499, 2022.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Stratified trans- former for 3d point cloud segmentation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 8490–8499, 2022

Reference 34

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This paper cites Strati- fied transformer for 3d point cloud segmentation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), pages 8490–8499, 2022.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Strati- fied transformer for 3d point cloud segmentation.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), pages 8490–8499, 2022

Reference 35

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This paper cites Li, Matthias M ¨uller, Ali K.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Li, Matthias M ¨uller, Ali K

Reference 36

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This paper cites Chen, and Gim Hee Lee.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Chen, and Gim Hee Lee

Reference 37

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Observation 8df99767-d2c3-49be-bdc0-c19e62a1aa47 · outbound

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

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Pointcnn: Convolution on x-transformed points

Reference 38

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Observation e0d0fc97-eb8c-499b-8303-96e44c161f18 · outbound

This paper cites Masked discrimi- nation for self-supervised learning on point clouds.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Masked discrimi- nation for self-supervised learning on point clouds

Reference 39

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Observation 70f368a0-afb0-4b56-9079-464a4c90fe7c · outbound

This paper cites Relation-shape convolutional neural network for point cloud analysis.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Relation-shape convolutional neural network for point cloud analysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:19.221983Z

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Observation 8640987a-6ac3-4cab-994f-e6f3b5986542 · outbound

This paper cites 3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning 3DGTN: 3D Dual-Attention GLocal Transformer Network for Point Cloud Classification and Segmentation

Reference 41

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This paper cites 3d object detection with pointformer.2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 7459–7468, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning 3d object detection with pointformer.2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 7459–7468, 2021

Reference 42

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 43

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 44

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Observation 12a412a4-3c73-410f-bbce-3174b8384dba · outbound

This paper cites Qi, Hao Su, Kaichun Mo, and Leonidas J.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Qi, Hao Su, Kaichun Mo, and Leonidas J

Reference 45

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

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:18.455381Z

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Observation b502c9a3-e96b-4375-9c06-1a64601feab4 · outbound

This paper cites Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Reference 47

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Observation 5c904be8-6582-4d3b-bb90-26b1b6d89b1a · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 48

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Observation 7fa8c2e7-fee1-4dd1-8e19-0d2851ed4681 · outbound

This paper cites BYOL works even without batch statistics.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning BYOL works even without batch statistics

Reference 49

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Observation 7b7286a4-97f8-462e-a4d3-e446a0b87e9a · outbound

This paper cites Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning

Reference 50

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Observation d15e1729-b9c0-4198-bcbb-098831ae1d8e · outbound

This paper cites Self-Supervised Deep Learning on Point Clouds by Reconstructing Space.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:11.825636Z

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Observation aa7d26a3-ca20-4c92-8ec3-6c6b5ce73e23 · outbound

This paper cites Self-supervised deep learning on point clouds by reconstructing space.Advances in Neural Information Processing Systems, 32:12962–12972,.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Self-supervised deep learning on point clouds by reconstructing space.Advances in Neural Information Processing Systems, 32:12962–12972,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:18.228302Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b33f72f0-605c-4c5f-bfbf-6a3b659731e2 · outbound

This paper cites Self-supervised few-shot learning on point clouds.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Self-supervised few-shot learning on point clouds

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:18.044102Z

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Observation 18f773e4-bf98-494f-ad7c-b7766f149ce4 · outbound

This paper cites Con- trastive multiview coding.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Con- trastive multiview coding

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.120698Z

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Observation 78e71e0a-82aa-4b65-8a93-ae1f0204f11f · outbound

This paper cites Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:17.878586Z

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Observation a42d61f9-572d-42c4-a557-569ef3a22c86 · outbound

This paper cites Attention Is All You Need.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Attention Is All You Need

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.277245Z

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Observation 3b67dc66-3ec9-411f-87c9-ce6c632dc4ea · outbound

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A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:17.761214Z

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Observation 75ba325e-dea8-4a3a-a31e-1d1a9f2b1ef2 · outbound

This paper cites Sarma, Michael M.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Sarma, Michael M

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:17.572872Z

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Observation acea711d-641a-4736-ba28-ca66657dd1fa · outbound

This paper cites Learning generalizable part-based feature representation for 3d point clouds.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Learning generalizable part-based feature representation for 3d point clouds

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:17.404432Z

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Observation ccf94e65-1762-4d89-a2ad-0b30b37d9e9d · outbound

This paper cites Attention-based point cloud edge sampling.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Attention-based point cloud edge sampling

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:17.246398Z

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Observation d599f2d5-6d49-496e-ac07-949dd91939e4 · outbound

This paper cites Learning a probabilistic latent space of ob- ject shapes via 3D generative-adversarial modeling.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Learning a probabilistic latent space of ob- ject shapes via 3D generative-adversarial modeling

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:17.061836Z

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Observation a7d014cf-2a44-42fb-b064-5712e30eebb4 · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning 3d shapenets: A deep representation for volumetric shapes

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:16.756097Z

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Observation 34e00a33-e092-47ca-99ca-55699dd1af5e · outbound

This paper cites Yu, and Dahua Lin.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Yu, and Dahua Lin

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:16.508475Z

Source-reported events for the cited work

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Observation 04a6fd8d-66ad-43f0-aea2-7fe6976462d8 · outbound

This paper cites PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:12.956126Z

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Observation 5f12be5d-8150-456d-9ad6-c969623181a7 · outbound

This paper cites Simmim: a simple framework for masked image modeling.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9643–9653, 2022.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Simmim: a simple framework for masked image modeling.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 9643–9653, 2022

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:16.247387Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4bc7a853-3e72-4889-a2c5-5554277920c5 · outbound

This paper cites Fold- ingnet: Point cloud auto-encoder via deep grid deformation.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Fold- ingnet: Point cloud auto-encoder via deep grid deformation

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.950862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cbc0c3d-fd9d-4417-ba8d-01e7caf77b3e · outbound

This paper cites Yi, Vladimir G.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Yi, Vladimir G

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.680032Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e17bd89-b841-4fbd-8e86-a40cd5130a76 · outbound

This paper cites Pointr: Diverse point cloud comple- tion with geometry-aware transformers.2021 IEEE/CVF In- ternational Conference on Computer Vision (ICCV), pages 12478–12487, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Pointr: Diverse point cloud comple- tion with geometry-aware transformers.2021 IEEE/CVF In- ternational Conference on Computer Vision (ICCV), pages 12478–12487, 2021

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.441845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f82674b3-4484-4023-bc45-501e977656f3 · outbound

This paper cites Point-bert: Pre-training 3d point cloud transformers with masked point modeling.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 19291–19300, 2021.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Point-bert: Pre-training 3d point cloud transformers with masked point modeling.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 19291–19300, 2021

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.366121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aca85fe8-a1b2-448c-aae1-409fdbeb38ab · outbound

This paper cites Unsupervised feature learning for point cloud understanding by contrasting and clustering using graph convolutional neural networks.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unsupervised feature learning for point cloud understanding by contrasting and clustering using graph convolutional neural networks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:15.207667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6eaf8c6f-f863-483b-8400-d2c116757cf7 · outbound

This paper cites Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.630306Z

Source-reported events for the cited work

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Observation e27b9a77-4e79-48e2-bd2f-1a1936a009dd · outbound

This paper cites Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:13.702596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ffad7ed-a086-4c34-8215-6a796a6de1b6 · outbound

This paper cites an unresolved cited work.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:22:15.062433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation faec1f90-5b44-49e3-98d0-ad6ae00920ee · outbound

This paper cites 3D point capsule networks.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning 3D point capsule networks

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:22:14.925544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac68df70-f72f-404b-a333-5d0154c2eeef · outbound

This paper cites SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer.

A Cross Branch Fusion-Based Contrastive Learning Framework for Point Cloud Self-supervised Learning SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:22:14.193788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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