SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer | Paper Citation Record

Observation ebc8c32c-c30c-4850-adc2-48ec6921aacb · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer 3d semantic parsing of large-scale indoor spaces

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.182592Z

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Observation 5754c291-7c3a-418c-b5bd-81fa1f456452 · outbound

This paper cites Semantickitti: A dataset for semantic scene understanding of lidar sequences.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Semantickitti: A dataset for semantic scene understanding of lidar sequences

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.138864Z

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Observation 0916ed4f-8ccd-4f4a-a69a-696974d71b50 · outbound

This paper cites The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer The lov ´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.114801Z

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Observation 9b6047df-b8f3-45a2-909a-684889845c16 · outbound

This paper cites nuscenes: A multi- modal dataset for autonomous driving.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer nuscenes: A multi- modal dataset for autonomous driving

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.093042Z

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Observation 333daa3a-9db7-4bc0-b6ec-7a5e5ca41e6c · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Multi-view 3d object detection network for autonomous driv- ing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.064069Z

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Observation e3c97b1d-354d-4935-8923-df7958434e78 · outbound

This paper cites Mobile-former: Bridging mobilenet and transformer.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Mobile-former: Bridging mobilenet and transformer

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:41.018991Z

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Observation 4f4dd876-66b2-461b-acb8-dd149127e9de · outbound

This paper cites V oxelnext: Fully sparse voxelnet for 3d object detection and tracking.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer V oxelnext: Fully sparse voxelnet for 3d object detection and tracking

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.881126Z

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Observation 3bdbf254-a98e-40be-a689-e14690678491 · outbound

This paper cites 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer 2-s3net: Attentive feature fusion with adaptive feature selection for sparse semantic segmentation network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.782283Z

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Observation 03cb0b27-57c8-4c36-9898-5e03e5b9279d · outbound

This paper cites 4d spatio-temporal convnets: Minkowski convolutional neural networks.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer 4d spatio-temporal convnets: Minkowski convolutional neural networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:35.516615Z

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Observation 73313cda-adbb-40f2-8064-617fc0c7bc84 · outbound

This paper cites Pointcept: A codebase for point cloud perception research.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointcept: A codebase for point cloud perception research

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.745016Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daf6abae-a30a-443e-b0ec-47082f8fd0b3 · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.717929Z

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Observation 89bb9a01-45d8-44b4-9d09-31c05e036830 · outbound

This paper cites Vision Transformers Need Registers.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Vision Transformers Need Registers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:35.537696Z

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Observation ffcf564e-c854-49a8-90ee-9be57e793e6c · outbound

This paper cites Em- bracing single stride 3d object detector with sparse trans- former.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Em- bracing single stride 3d object detector with sparse trans- former

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.695362Z

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Observation c214f45d-618e-4fdd-8e92-ca51c7dd8bea · outbound

This paper cites Efficient graph-based image segmentation.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Efficient graph-based image segmentation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.674064Z

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Observation d0c723b0-d400-4812-aba7-18b736144a1c · outbound

This paper cites Agent Attention: On the Integration of Softmax and Linear Attention.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Agent Attention: On the Integration of Softmax and Linear Attention

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:35.558242Z

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Observation bcc91051-417f-4076-9293-8dfe911867fe · outbound

This paper cites A survey on vision transformer.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer A survey on vision transformer

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.524528Z

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Observation ca474e66-8412-4ca4-9d1f-b9a411f6dd03 · outbound

This paper cites Mapdistill: Boosting efficient camera-based hd map construction via camera-lidar fusion model distillation.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Mapdistill: Boosting efficient camera-based hd map construction via camera-lidar fusion model distillation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.486585Z

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Observation 812c8c26-ec63-47b3-a2e1-487b4f62e3ae · outbound

This paper cites ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T14:53:37.408749Z

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Observation ce6d129b-78d9-4330-b58a-4f4c944538a8 · outbound

This paper cites Vision transformer with super token sampling.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Vision transformer with super token sampling

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.456243Z

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Observation fbfb5c18-cc43-4cf5-8997-0578de24ae1f · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:35.586968Z

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Observation f3171ee3-1fcc-42c1-8f75-4d2fc603a0fd · outbound

This paper cites Perceiver: General perception with iterative attention.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Perceiver: General perception with iterative attention

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.423977Z

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Observation 4ee5ee19-deec-435b-8839-21bb90349064 · outbound

This paper cites Pointgroup: Dual-set point group- ing for 3d instance segmentation.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointgroup: Dual-set point group- ing for 3d instance segmentation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.397777Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a5e8ae4-3027-40e1-8062-515a0c7f28f5 · outbound

This paper cites Transformers in vision: A survey.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Transformers in vision: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.232291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b7ab77f-5129-48b0-9d60-904404ea0856 · outbound

This paper cites Stratified trans- former for 3d point cloud segmentation.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Stratified trans- former for 3d point cloud segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:40.015288Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 92e7a3b7-e215-457b-8c0a-edbd7b215fa4 · outbound

This paper cites Spherical transformer for lidar-based 3d recognition.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Spherical transformer for lidar-based 3d recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.996625Z

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Observation 1daaa595-4a64-4ed7-bb42-323e499f81ca · outbound

This paper cites Pointpillars: Fast encoders for object detection from point clouds.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointpillars: Fast encoders for object detection from point clouds

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:35.989184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9f83792-065e-4db2-8f80-c8d20d2f084b · outbound

This paper cites Set transformer: A frame- work for attention-based permutation-invariant neural net- works.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Set transformer: A frame- work for attention-based permutation-invariant neural net- works

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.961791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 08113e38-14c8-42c7-90e2-f94a4bc04303 · outbound

This paper cites Vehicle Detection from 3D Lidar Using Fully Convolutional Network.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Vehicle Detection from 3D Lidar Using Fully Convolutional Network

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.001949Z

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Unavailable: canonical work link unavailable.

Observation 5cc9c972-6718-47e9-b2e0-cafb95459f6b · outbound

This paper cites E-mlp: Effortless online hd map construction with linear priors.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer E-mlp: Effortless online hd map construction with linear priors

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.938931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 224c9cab-57be-4caa-b6ce-ce741d8d2781 · outbound

This paper cites Meta architecture for point cloud analysis.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Meta architecture for point cloud analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.920519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77c90574-4246-45bd-adeb-6b88e0abfd2a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Swin transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.903244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e9e06b6-b4a6-4616-81fc-63fd592ea265 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Swin transformer v2: Scaling up capacity and resolution

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.884166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e809885e-8805-4f24-bd81-055cbfe46256 · outbound

This paper cites Uedg: uncertainty-edge dual guided camou- flage object detection.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Uedg: uncertainty-edge dual guided camou- flage object detection

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.855899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0feb94d5-f5b6-4085-8440-8ab1a5846553 · outbound

This paper cites Dual- stream network for visual recognition.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Dual- stream network for visual recognition

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.745374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4966d4a-5fe6-4c8e-a197-96b32c9ad3ff · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer V oxnet: A 3d convo- lutional neural network for real-time object recognition

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.723718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc5c8c6e-7343-4535-a43c-74bf49a235b4 · outbound

This paper cites Mix3d: Out-of-context data augmenta- tion for 3d scenes.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Mix3d: Out-of-context data augmenta- tion for 3d scenes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.702678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 68750aa9-8d4c-4a7c-83ba-9cd0143680fd · outbound

This paper cites Fast point transformer.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Fast point transformer

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.681237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f44c808e-aaa4-40e1-b3b8-1a86401f8179 · outbound

This paper cites Self-positioning point-based transformer for point cloud understanding.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Self-positioning point-based transformer for point cloud understanding

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.659875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a6a50fc-4cfb-4b32-bc6b-ad6063d83578 · outbound

This paper cites How Do Vision Transformers Work?.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer How Do Vision Transformers Work?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.321211Z

Source-reported events for the cited work

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Observation 714efc3c-1674-41b6-af67-06cfbf434771 · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.457777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6afd995-7ada-47b9-8b61-b6eae6238990 · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.465214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6279dfc0-7eac-4886-b417-97f3600bdc9b · outbound

This paper cites Point- next: Revisiting pointnet++ with improved training and scal- ing strategies.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Point- next: Revisiting pointnet++ with improved training and scal- ing strategies

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.531011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 21ece717-f9ae-4786-bd01-719f09e97c19 · outbound

This paper cites Language- grounded indoor 3d semantic segmentation in the wild.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Language- grounded indoor 3d semantic segmentation in the wild

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.444161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 32590934-f4fd-4ef4-a23e-6c33d09f7389 · outbound

This paper cites Mask3d: Mask trans- former for 3d semantic instance segmentation.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Mask3d: Mask trans- former for 3d semantic instance segmentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.419364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5434eea-93ce-4247-a3da-f99223f8f452 · outbound

This paper cites Semantic scene comple- tion from a single depth image.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Semantic scene comple- tion from a single depth image

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.392347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b666216-a00e-468b-ac85-7aec4124409d · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Dropout: a simple way to prevent neural networks from overfitting

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.299288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 75840adc-8424-4a81-9778-5556a80b34cf · outbound

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

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Multi-view convolutional neural networks for 3d shape recognition

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.219616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 12b507b6-a6b2-4b75-9cdd-84d54d7865ef · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Scalability in perception for autonomous driving: Waymo open dataset

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:39.128620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation da97ed99-d76c-4945-88d7-898b04db489a · outbound

This paper cites A brief review of nearest neighbor algorithm for learning and classification.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer A brief review of nearest neighbor algorithm for learning and classification

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.977522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 496132e6-1426-4bfa-9070-7bf9f235504f · outbound

This paper cites Attention is all you need.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Attention is all you need

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.614273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b477fa5-d9c1-476e-845c-320aff9d9092 · outbound

This paper cites Dsvt: Dynamic sparse voxel transformer with rotated sets.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Dsvt: Dynamic sparse voxel transformer with rotated sets

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.831501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b710a350-ca24-4521-9fed-b1b09784127e · outbound

This paper cites Octformer: Octree-based transformers for 3d point clouds.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Octformer: Octree-based transformers for 3d point clouds

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.734614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ff918b5-b09c-4811-b0e9-44ee1ea4cbdb · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Linformer: Self-Attention with Linear Complexity

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.827467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d10e7c43-b067-42b9-aff3-5367438adf2d · outbound

This paper cites Detr3d: 3d object detection from multi-view images via 3d-to-2d queries.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Detr3d: 3d object detection from multi-view images via 3d-to-2d queries

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.622954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07a65b1e-02c7-4a9f-ac8c-63d5d8501136 · outbound

This paper cites Point transformer v2: Grouped vector attention and partition-based pooling.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Point transformer v2: Grouped vector attention and partition-based pooling

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.578623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6565cde5-f08e-4629-9258-89ba41530ea7 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Point transformer v3: Simpler faster stronger

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.455470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4f154710-c38b-4b75-9039-6fbd198b5fca · outbound

This paper cites Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointasnl: Robust point clouds processing using nonlocal neural networks with adaptive sampling

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.400911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 278ff71f-b1c6-416a-a130-82f58a84d463 · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer 2dpass: 2d priors assisted semantic segmentation on lidar point clouds

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.369664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7bbc0605-e7fb-47ca-bbf2-1b0cf901de9a · outbound

This paper cites Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:36.875321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a20a92-d282-424e-b02a-8e6eec4956d4 · outbound

This paper cites Center- based 3d object detection and tracking.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Center- based 3d object detection and tracking

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.309981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 25338571-8cc2-49e6-86fe-ee181fe48b5c · outbound

This paper cites Safdnet: A simple and effective net- work for fully sparse 3d object detection.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Safdnet: A simple and effective net- work for fully sparse 3d object detection

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.193156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce820dbd-47aa-462b-8042-47dc4f2e602d · outbound

This paper cites Sparse agent transformer for unified voxel and image feature extraction and fusion.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Sparse agent transformer for unified voxel and image feature extraction and fusion

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.164849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cdd7812-378a-455d-ade6-35c4f0b05071 · outbound

This paper cites P2ftrack: Multi-object tracking with motion prior and feature posterior.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer P2ftrack: Multi-object tracking with motion prior and feature posterior

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.137388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6c65b0ef-3213-4592-9a6e-ef5f5cfa334b · outbound

This paper cites Coddiff: Prior leading diffusion model for camouflage object detection.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Coddiff: Prior leading diffusion model for camouflage object detection

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:38.034604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 336b3d1f-3a55-432c-b602-0ca95d8b928e · outbound

This paper cites Awaretrack: Object awareness for visual tracking via templates interaction.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Awaretrack: Object awareness for visual tracking via templates interaction

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:37.854675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbb868b7-371e-4307-8f85-13b673f65c73 · outbound

This paper cites DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T14:53:37.063471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a20851a-d781-4a2b-a3bf-322fa24ee80c · outbound

This paper cites Pointweb: Enhancing local neighborhood features for point cloud processing.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Pointweb: Enhancing local neighborhood features for point cloud processing

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:37.828395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d74413d-b1e0-4d3d-b19b-b46cc0040533 · outbound

This paper cites Point transformer.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer Point transformer

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:37.805735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f0ac3d8-29d5-48a8-b04e-a322b412a37b · outbound

This paper cites V oxelnet: End-to-end learning for point cloud based 3d object detection.

SP$^2$T: Sparse Proxy Attention for Dual-stream Point Transformer V oxelnet: End-to-end learning for point cloud based 3d object detection

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:53:37.630593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Outbound references

Pith citing papers