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Paper Citation Record · LEDGER

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching

As of 10 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2506.22784.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.22784 v2

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:04:17.069068Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

69 of 69 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6844d0e4-937d-44e1-8aab-6b43d9a661ee · outbound

This paper cites TiCoSS: Tightening the coupling between semantic segmentation and stereo matching within a joint learning framework,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching TiCoSS: Tightening the coupling between semantic segmentation and stereo matching within a joint learning framework,

Reference 1

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Observation a4fc571e-69a9-4343-91f4-b837f9b6846c · outbound

This paper cites Lce-calib: automatic LiDAR-frame/event camera extrinsic calibration with a globally optimal solution,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Lce-calib: automatic LiDAR-frame/event camera extrinsic calibration with a globally optimal solution,

Reference 2

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

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Observation 2a46a85b-02e4-424b-8792-7a811da4ef03 · outbound

This paper cites Real-time metric-semantic mapping for autonomous navigation in outdoor environments,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Real-time metric-semantic mapping for autonomous navigation in outdoor environments,

Reference 3

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

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Observation 1cace468-35db-4139-bbb7-9d3b4e0cac60 · outbound

This paper cites Edge-assisted multi-robot visual-inertial slam with efficient communication,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Edge-assisted multi-robot visual-inertial slam with efficient communication,

Reference 4

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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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Observation c1413444-0f28-4fff-aba5-be7df2ad978b · outbound

This paper cites Dsqnet: A deformable model-based supervised learning algorithm for grasping unknown occluded objects,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Dsqnet: A deformable model-based supervised learning algorithm for grasping unknown occluded objects,

Reference 5

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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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Observation 6cb70876-5ab3-484e-813a-4ae3f9dc95bd · outbound

This paper cites Superglue: Learning feature matching with graph neural networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Superglue: Learning feature matching with graph neural networks,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e65e6da-7e78-4ae5-9418-70012deaa42d · outbound

This paper cites Loftr: Detector- free local feature matching with transformers,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Loftr: Detector- free local feature matching with transformers,

Reference 7

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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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Observation d925812a-18f6-4a5a-a3e9-3684db1ef7ec · outbound

This paper cites R2d2: Reliable and repeatable detector and descriptor,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching R2d2: Reliable and repeatable detector and descriptor,

Reference 8

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raw_fallback, observed 2026-08-06T22:04:24.224472Z

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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Observation fec5f23c-31a1-490c-bd42-373f1ec5ca4e · outbound

This paper cites D3feat: Joint learning of dense detection and description of 3d local features,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching D3feat: Joint learning of dense detection and description of 3d local features,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:12.241594Z digest=sha256:c51ab8b3d5f74100c334c67b36b5097319a8f92e4d49fa55116efb73079c9aa3

Observation bdc14a79-d031-4b43-a4d0-f2bc53a58bd8 · outbound

This paper cites Usip: Unsupervised stable interest point detection from 3d point clouds,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Usip: Unsupervised stable interest point detection from 3d point clouds,

Reference 10

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raw_fallback, observed 2026-08-06T22:04:24.058502Z

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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Observation 3fff822c-12e4-49bb-a227-01ec28ab8bf1 · outbound

This paper cites P2-net: Joint description and detection of local features for pixel and point matching,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching P2-net: Joint description and detection of local features for pixel and point matching,

Reference 11

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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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Observation 173499dc-803c-4425-8e64-446f67847df0 · outbound

This paper cites CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching CRLF: Automatic Calibration and Refinement based on Line Feature for LiDAR and Camera in Road Scenes

Reference 12

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verified exact
local_arxiv, observed 2026-08-06T22:04:17.892723Z

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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Observation 6332f613-0464-43bb-9b1b-377ef5afaed1 · outbound

This paper cites Online, target-free LiDAR-camera extrinsic calibration via cross-modal mask matching,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Online, target-free LiDAR-camera extrinsic calibration via cross-modal mask matching,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:12.605467Z digest=sha256:4c211e75c9cc47a69e36ebddb98f44dd5db32a63eb4aa01ca7819fd219a8f82b

Observation 088d95f6-0116-4cfa-bdfd-732210ae80b1 · outbound

This paper cites Ep n p: An accurate o (n) solution to the p n p problem,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Ep n p: An accurate o (n) solution to the p n p problem,

Reference 14

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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.

source=pdf_text observed=2026-08-06T22:04:12.656750Z digest=sha256:f706d3b4fe7e89257d48d24acb4c14e52b3ed1fcf8ee5b25e4156a46a9caf1db

Observation cb3883c9-19fe-4709-8144-2d7bcd8324cf · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:12.721193Z digest=sha256:050f6e4bb673123a12134f40e9df0344c42b952914e047ce198a2a8a5f023e0f

Observation 0af99571-99c4-48ef-ba1b-88d628effb0a · outbound

This paper cites MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 16

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Unavailable: canonical work link unavailable.

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Observation d4520e23-6d5f-4090-ab67-43fbdf5685f6 · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching nuscenes: A multimodal dataset for autonomous driving,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation d0bb00f2-f854-4225-b778-3c53c993be5c · outbound

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

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 18

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Observation 78346c38-f9e9-48c7-b989-d8a8f00fd54e · outbound

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

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Pointnet++: Deep hierarchical feature learning on point sets in a metric space,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ed43380-64cd-48c2-9f99-518c01b5330e · outbound

This paper cites Deepi2p: Image-to-point cloud registration via deep classification,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Deepi2p: Image-to-point cloud registration via deep classification,

Reference 20

Resolution
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raw_fallback, observed 2026-08-06T22:04:23.595206Z

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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Observation 7ed9061e-80d0-4ee3-bbee-7002ac424177 · outbound

This paper cites Deep residual learning for image recognition,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Deep residual learning for image recognition,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e2c2a77e-e1d4-401f-b1df-71933fc8c938 · outbound

This paper cites Differen- tiable registration of images and lidar point clouds with voxelpoint-to- pixel matching,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Differen- tiable registration of images and lidar point clouds with voxelpoint-to- pixel matching,

Reference 22

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

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Observation f2e368a1-1f24-493e-816e-603d25cf4153 · outbound

This paper cites Image-to-point registration via cross- modality correspondence retrieval,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Image-to-point registration via cross- modality correspondence retrieval,

Reference 23

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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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Observation f52ca82a-ce1c-4165-8838-3ac3637bbeb8 · outbound

This paper cites From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 9bc41b08-7eae-402e-9d06-73d2b6ec10ec · outbound

This paper cites Are we ready for autonomous driving? the KITTI vision benchmark suite,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Are we ready for autonomous driving? the KITTI vision benchmark suite,

Reference 25

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raw_fallback, observed 2026-08-06T22:04:23.117750Z

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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Observation 8f558582-b0e2-479b-b953-ae894031f30d · outbound

This paper cites Method for registration of 3-d shapes,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Method for registration of 3-d shapes,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ca5b1cd-4189-4bf5-a17a-9d9dd842b4d2 · outbound

This paper cites Least-squares fitting of two 3-d point sets,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Least-squares fitting of two 3-d point sets,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:13.760857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 750d3651-1018-4973-afd4-7ac0b2a1e89b · outbound

This paper cites Fully convolutional geometric fea- tures,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Fully convolutional geometric fea- tures,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T22:04:22.909274Z

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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Observation 0036905f-a885-4540-b8e9-462ac98447a3 · outbound

This paper cites 3d semantic segmen- tation with submanifold sparse convolutional networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching 3d semantic segmen- tation with submanifold sparse convolutional networks,

Reference 29

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raw_fallback, observed 2026-08-06T22:04:22.777135Z

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.

source=pdf_text observed=2026-08-06T22:04:14.044719Z digest=sha256:591c8951f06089208fcda2758115bc37fd2e4c248c968f9e892e5e69f96901ee

Observation f3d97903-83fa-4047-bae3-b99f94f4591d · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Kpconv: Flexible and deformable convolution for point clouds,

Reference 30

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no resolver link, observed 2026-08-06T22:04:14.149758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:14.149758Z digest=sha256:914b8764db915a468f69cfb06e4242ee729845dbbaf9b8b4ef67d269ff4a2fe4

Observation a0a2940f-674d-43f0-a7e7-4244ac26d10e · outbound

This paper cites Preda- tor: Registration of 3d point clouds with low overlap,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Preda- tor: Registration of 3d point clouds with low overlap,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:22.618567Z

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.

source=pdf_text observed=2026-08-06T22:04:14.241689Z digest=sha256:7a141be5f79412ce1f3d40bd7aa45ac081173012b2694a18dee891baa5ba08fa

Observation 180f6d7f-224d-47e0-8ec8-e76585a42a0c · outbound

This paper cites Geometric transformer for fast and robust point cloud registration,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Geometric transformer for fast and robust point cloud registration,

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-06T22:04:22.437919Z

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.

source=pdf_text observed=2026-08-06T22:04:14.305376Z digest=sha256:100b3f548b832a93e3a4e02b419ff53db7ee0a0a2636176af5df6526e5d74138

Observation 24bfb4bc-f960-4fb1-9aab-90ed5ea82943 · outbound

This paper cites Generalized correspondence matching via flexible hi- erarchical refinement and patch descriptor distillation,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Generalized correspondence matching via flexible hi- erarchical refinement and patch descriptor distillation,

Reference 33

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raw_fallback, observed 2026-08-06T22:04:22.249105Z

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.

source=pdf_text observed=2026-08-06T22:04:14.369668Z digest=sha256:5dae83e596cc4c2ac0fb49665df6de8f225308c51b19dd3ca1fe39784d89bda0

Observation 2697d098-7b5d-426b-84ef-974d520f99c9 · outbound

This paper cites E3CM: Epipolar-constrained cascade correspondence matching,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching E3CM: Epipolar-constrained cascade correspondence matching,

Reference 34

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raw_fallback, observed 2026-08-06T22:04:22.071112Z

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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Observation 2f7f2c6b-7caf-48b4-9b57-43a12283ac20 · outbound

This paper cites Dive deeper into rectifying homography for stereo camera online self-calibration,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Dive deeper into rectifying homography for stereo camera online self-calibration,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.925634Z

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.

source=pdf_text observed=2026-08-06T22:04:14.614374Z digest=sha256:3c5bcb2edafc2a93872dc218b55326b9df88058db0ce77ce03b3c01e998585e0

Observation 939f4e8e-de13-4771-9cc8-a9bc948b96a9 · outbound

This paper cites Road surface 3D reconstruction based on dense subpixel disparity map estimation,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Road surface 3D reconstruction based on dense subpixel disparity map estimation,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:14.700024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:14.700024Z digest=sha256:1de1c7890e4c570dfa1c949edcaa4ee458fc40232df36a022b40c250c6a82492

Observation dd4cbc02-53e6-4a41-9bc9-600f97210336 · outbound

This paper cites Distinctive image features from scale-invariant keypoints,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Distinctive image features from scale-invariant keypoints,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:14.804092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:14.804092Z digest=sha256:065e966f26caa23360a42c01349995f8bb75d7bfa18c9e58e6c38e80d5ec160f

Observation 47eba0cb-b9f6-4257-9b49-d986012b6795 · outbound

This paper cites Orb: An efficient alternative to sift or surf,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Orb: An efficient alternative to sift or surf,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:14.904320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:14.904320Z digest=sha256:6c2dd137c520d211a5e60f90f56c5dbdf2450a21b4b2fc67adb4c0ec216bcbfa

Observation 0a407d29-cbfc-4140-a723-38b549fc0b4e · outbound

This paper cites Bundle adjustment—a modern synthesis,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Bundle adjustment—a modern synthesis,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.755100Z

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.

source=pdf_text observed=2026-08-06T22:04:15.024874Z digest=sha256:0acba593482d97be1a3e46e0e21e28cc93e4f66331d483e6b3eae1ecc6e03efc

Observation a8868a42-08f8-415b-8924-167068ff9aea · outbound

This paper cites Automatic registration of airborne LiDAR point cloud data and optical imagery depth map based on line and points features,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Automatic registration of airborne LiDAR point cloud data and optical imagery depth map based on line and points features,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.617944Z

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.

source=pdf_text observed=2026-08-06T22:04:15.129437Z digest=sha256:71106a6e818fcf786b1e7b29426b7ecab6ea9d8c6927065e267505153b61dc1a

Observation 072b0c0b-43d0-4869-b7ce-bb1adc668f3f · outbound

This paper cites Autocalibration of LiDAR and optical cameras via edge alignment,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Autocalibration of LiDAR and optical cameras via edge alignment,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.459859Z

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.

source=pdf_text observed=2026-08-06T22:04:15.242376Z digest=sha256:f63c408fd478ac215e632445b30280fdbc72c27516d44c7ad90e9ec936d0a29a

Observation 9d45e471-3eed-40d8-b040-2f1c634ba5b0 · outbound

This paper cites Pixel-level extrinsic self calibration of high resolution LiDAR and camera in targetless environments,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Pixel-level extrinsic self calibration of high resolution LiDAR and camera in targetless environments,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.299773Z

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.

source=pdf_text observed=2026-08-06T22:04:15.314159Z digest=sha256:d51a59aebe41d996f0c2329ebe6d42f665089f35a49c5cec94dc9c17f40e660f

Observation 8edd546c-e640-48c5-a4ef-7354a5650f78 · outbound

This paper cites Automatic extrinsic calibration of vision and LiDAR by maximizing mutual information,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Automatic extrinsic calibration of vision and LiDAR by maximizing mutual information,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.160755Z

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.

source=pdf_text observed=2026-08-06T22:04:15.365315Z digest=sha256:8c088b44a8dc8e9d58075737db4906dc4bca080898020604720804952a9c74b1

Observation 6bdc2f02-8441-4ad5-beaf-d8f427a8814b · outbound

This paper cites Robust calibration of vehicle solid-state LiDAR-camera perception system using line-weighted correspondences in natural en- vironments,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Robust calibration of vehicle solid-state LiDAR-camera perception system using line-weighted correspondences in natural en- vironments,

Reference 44

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T22:04:17.603495Z

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.

source=pdf_text observed=2026-08-06T22:04:15.455402Z digest=sha256:31b685398e00f6fab21526cbb557b59c5548d3b5b32f9d31eed88fa56674f2f3

Observation b521cca2-58bb-4cb6-84e2-9513676a8a0a · outbound

This paper cites Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Automatic registration of panoramic image sequence and mobile laser scanning data using semantic features,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:21.007451Z

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.

source=pdf_text observed=2026-08-06T22:04:15.535749Z digest=sha256:bea554980bab52f204da061d740f24b44da6ce0b3f761cb44c79da027da3faf1

Observation f330f98d-b8c9-4760-adfc-f29498e94caa · outbound

This paper cites Automatic registration of point cloud and panoramic images in urban scenes based on pole matching,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Automatic registration of point cloud and panoramic images in urban scenes based on pole matching,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.854041Z

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.

source=pdf_text observed=2026-08-06T22:04:15.627828Z digest=sha256:7fbc4d2e66348374b19f2c78b80a5775602eca55bf0e834b1c3156722e26d0da

Observation 96a9267c-43d6-4edf-bb0f-2d9ce69ee2cb · outbound

This paper cites Auto-calibration method using stop signs for urban au- tonomous driving applications,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Auto-calibration method using stop signs for urban au- tonomous driving applications,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.689836Z

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.

source=pdf_text observed=2026-08-06T22:04:15.714797Z digest=sha256:c8d6b0f51eeafc65b8854d182315e8d5e09495208f19d55f5cbefc3791389317

Observation 836ea4d8-b1f1-439a-bf53-3fc1ed56bf59 · outbound

This paper cites SE-Calib: Semantic edges based LiDAR-camera bore- sight online calibration in urban scenes,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching SE-Calib: Semantic edges based LiDAR-camera bore- sight online calibration in urban scenes,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:15.790699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:15.790699Z digest=sha256:eb8310564163185211fe534996ff52db46fa791e0f35f2b76b97c1177a8807ff

Observation cafa5e20-3848-4a2a-a40c-415683f7698a · outbound

This paper cites Online camera-LiDAR calibration with sensor semantic information,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Online camera-LiDAR calibration with sensor semantic information,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.536547Z

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.

source=pdf_text observed=2026-08-06T22:04:15.869872Z digest=sha256:35b6e0bf15f2de63d6208712580439d04161ed5b7562857c5606df4e15daa72a

Observation 6a8edaeb-d4bd-4e86-8206-4e82fad1e2c4 · outbound

This paper cites General, single-shot, target-less, and automatic LiDAR- camera extrinsic calibration toolbox,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching General, single-shot, target-less, and automatic LiDAR- camera extrinsic calibration toolbox,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.383245Z

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.

source=pdf_text observed=2026-08-06T22:04:15.952334Z digest=sha256:27de65c293e254d60eacbeaa26f6282c383ced5f7553fa7d215dd788d602a960

Observation 8258e2dd-e6d1-4550-80ee-7bc52a45ab14 · outbound

This paper cites Faster Segment Anything: Towards Lightweight SAM for Mobile Applications.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Faster Segment Anything: Towards Lightweight SAM for Mobile Applications

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:16.018764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:16.018764Z digest=sha256:6a0b0ad47f25232d96050b32fe9c9977190e525e6bfbcf1ba6fcebcf6bf7cc2f

Observation 2c8ca8e0-e320-4a07-84ae-58d362805179 · outbound

This paper cites 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.245196Z

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.

source=pdf_text observed=2026-08-06T22:04:16.130442Z digest=sha256:b1da958176332372366a05852bb59088ee23b9e435001593cfd0775931a742a1

Observation 2a4d2a49-c715-45d0-8535-ce65dfdf1b77 · outbound

This paper cites Intrinsic shape signatures: A shape descriptor for 3d object recognition,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Intrinsic shape signatures: A shape descriptor for 3d object recognition,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.129182Z

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.

source=pdf_text observed=2026-08-06T22:04:16.183093Z digest=sha256:e064aa362517d21acd49aa88899d249a21fd042ccdbd76e6db5ed91bfe2495db

Observation d999c3db-5cf9-4b52-9c4f-81d86d2fcc26 · outbound

This paper cites Corri2p: Deep image-to-point cloud registration via dense correspondence,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Corri2p: Deep image-to-point cloud registration via dense correspondence,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:20.016878Z

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.

source=pdf_text observed=2026-08-06T22:04:16.234610Z digest=sha256:8025c220b77c16df8296f0dd29c442522667957a99a4cd9a360e7df821350310

Observation bcb74091-4b50-4a6a-9d7c-1806325f0a67 · outbound

This paper cites DCPI-Depth: Explicitly infusing dense correspondence prior to unsupervised monocular depth estimation,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching DCPI-Depth: Explicitly infusing dense correspondence prior to unsupervised monocular depth estimation,

Reference 55

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T22:04:17.331738Z

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.

source=pdf_text observed=2026-08-06T22:04:16.297298Z digest=sha256:97a7ab1765d5f3218a5ac0b08c70a7839daafdabc0f44023fd45bdb89a4af234

Observation 4439b457-6320-4a9f-a490-e6fb5a302681 · outbound

This paper cites ViPOcc: Leveraging visual priors from vision foundation models for single-view 3D occupancy prediction,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching ViPOcc: Leveraging visual priors from vision foundation models for single-view 3D occupancy prediction,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:19.852777Z

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.

source=pdf_text observed=2026-08-06T22:04:16.363592Z digest=sha256:2aea061bcf5e7d696bb83b69954ddd3a5f5eec79ab077d59102e68a1b6abaa54

Observation 994016b0-9696-4645-aec8-1fb736645a8b · outbound

This paper cites SCIPaD: Incorporating spatial clues into unsupervised pose-depth joint learning,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching SCIPaD: Incorporating spatial clues into unsupervised pose-depth joint learning,

Reference 57

Resolution
malformed identifier
no resolver link, observed 2026-08-06T22:04:16.422024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:16.422024Z digest=sha256:fc0925dc9ef85af7942be3ad99fcfd93cdf61610cc156b4219e506f8af977dce

Observation 5591ff76-c3c5-49ac-8fb6-c585336f12b0 · outbound

This paper cites Neighbourhood consensus networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Neighbourhood consensus networks,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:19.731710Z

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.

source=pdf_text observed=2026-08-06T22:04:16.490905Z digest=sha256:de4d549feb633487636086eac201a709f422268ae8eea38116d1304d6995e2a6

Observation 50fc68fa-d73c-4916-b312-be2cc2b458ce · outbound

This paper cites Cofinet: Reliable coarse- to-fine correspondences for robust pointcloud registration,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Cofinet: Reliable coarse- to-fine correspondences for robust pointcloud registration,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:19.464134Z

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.

source=pdf_text observed=2026-08-06T22:04:16.534414Z digest=sha256:b5e04e363311682e7fe414255ba9051cda781d8c6b89bb69e22e4b728df754b2

Observation 3b885362-5d3f-4e18-90ef-09668a9aabd5 · outbound

This paper cites Geotransformer: Fast and robust point cloud registration with geometric transformer,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Geotransformer: Fast and robust point cloud registration with geometric transformer,

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:16.594649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:16.594649Z digest=sha256:98c59f0eb7ca6116e93da902b92eddb179ff6966f05573336c3c6ec6178cb483

Observation fe31cb23-a18c-411b-8723-21ac45b21d1a · outbound

This paper cites CalibRCNN: Calibrating camera and lidar by recur- rent convolutional neural network and geometric constraints,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching CalibRCNN: Calibrating camera and lidar by recur- rent convolutional neural network and geometric constraints,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:19.278987Z

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.

source=pdf_text observed=2026-08-06T22:04:16.641065Z digest=sha256:faf4e1df67052bc387dfc3d16cfcbe3b1dc8a04f8d608d0bd6c459601d9a40b7

Observation 751c6a3d-60cb-4710-b96a-729abfc7e7be · outbound

This paper cites CalibDNN: multimodal sensor calibration for perception using deep neural networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching CalibDNN: multimodal sensor calibration for perception using deep neural networks,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:19.111555Z

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.

source=pdf_text observed=2026-08-06T22:04:16.691199Z digest=sha256:98f816a7e5afbe6821f238b5201ed379714a44795c913a0551d20b02631caa9c

Observation fb4a1bb7-4ea9-4706-9192-a3a98b296990 · outbound

This paper cites RegNet: Multimodal sensor registration using deep neural networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching RegNet: Multimodal sensor registration using deep neural networks,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:18.933054Z

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.

source=pdf_text observed=2026-08-06T22:04:16.736539Z digest=sha256:9180e616622b20da58d9170e9e21e04ba9aa4fd9eddb02bad5b5084f36ad0b23

Observation c532b19b-b377-4aad-b76f-807021ae1591 · outbound

This paper cites From chaos to calibration: A geometric mutual infor- mation approach to target-free camera LiDAR extrinsic calibration,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching From chaos to calibration: A geometric mutual infor- mation approach to target-free camera LiDAR extrinsic calibration,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:18.771988Z

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.

source=pdf_text observed=2026-08-06T22:04:16.805320Z digest=sha256:a542a2a00a6f1986c650c84fd8e88572d136c60ac4b153ac8f3359bcc01cf834

Observation 79e65054-96ef-498b-b38a-b357b3fd72b3 · outbound

This paper cites LCCNet: LiDAR and camera self-calibration using cost volume network,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching LCCNet: LiDAR and camera self-calibration using cost volume network,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:18.554070Z

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.

source=pdf_text observed=2026-08-06T22:04:16.867082Z digest=sha256:2db39e92ab70e9380a38738961b32fea3f9b86e1ba91627f703cd2854ede32a4

Observation 6e5a9b51-bc15-4441-b163-eff1106a9b9d · outbound

This paper cites RGGNet: Tolerance aware LiDAR-camera online calibration with geometric deep learning and generative model,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching RGGNet: Tolerance aware LiDAR-camera online calibration with geometric deep learning and generative model,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:18.399441Z

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.

source=pdf_text observed=2026-08-06T22:04:16.907959Z digest=sha256:0a26f921460e499809a6294eb7ad14f54844f026585b6a7a7632a33a22d1b661

Observation c5dc9d44-f512-4068-81ee-caf815205015 · outbound

This paper cites CalibNet: Geometrically supervised extrinsic calibration using 3D spatial transformer networks,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching CalibNet: Geometrically supervised extrinsic calibration using 3D spatial transformer networks,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:04:18.154330Z

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.

source=pdf_text observed=2026-08-06T22:04:16.974047Z digest=sha256:cca1e01468179698a10bb6ea634daecb2f54848bee166a12bd5b2a0609b2bf91

Observation f25e1723-8509-4416-a12b-02404baf4f3f · outbound

This paper cites Megadepth: Learning single-view depth predic- tion from internet photos,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Megadepth: Learning single-view depth predic- tion from internet photos,

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:17.029214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:17.029214Z digest=sha256:e56671e43959d04512bbb187262a2cd117a708eba2398cdd7ecea1fd9fb9865c

Observation 179927a6-4606-40e2-b813-3d8057e0fda4 · outbound

This paper cites Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,.

Single-Frame Point-Pixel Registration via Supervised Cross-Modal Feature Matching Kitti-360: A novel dataset and bench- marks for urban scene understanding in 2d and 3d,

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T22:04:17.069068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:04:17.069068Z digest=sha256:e774963175d8a1bc94f347ecc920f5491dd2312a74fa1a68c5183249ff9708ff

Pith citing papers

No inbound Pith citation observations are available.