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Paper Citation Record · LEDGER

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

As of 12 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2412.10308.

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

pith.paper-citation-record.v1
2412.10308 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:10:37.797645Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

60 of 60 outbound references displayed

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  • verified fuzzy48
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a9b3f1b-b990-42c4-94a4-880890fdc6fc · outbound

This paper cites Building rome in a day.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Building rome in a day

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ab5cc444-c53b-40c8-a195-1d23f6dca333 · outbound

This paper cites Buffer: Balancing accuracy, efficiency, and gen- eralizability in point cloud registration.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Buffer: Balancing accuracy, efficiency, and gen- eralizability in point cloud registration

Reference 2

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e599f174-1bd8-4991-a206-53093dbd2461 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Method for registration of 3-d shapes

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c22856dc-cc23-4c30-a8e8-103abe10434f · outbound

This paper cites A light touch approach to teaching transformers multi-view geometry.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes A light touch approach to teaching transformers multi-view geometry

Reference 4

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Source-reported events for the cited work

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Observation f19c68eb-802a-4de7-a334-b992647c8c31 · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Gi- ancarlo Baldan, and Oscar Beijbom

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a16e491b-9afc-4fc0-851e-0786e7495322 · outbound

This paper cites Global visual localization in lidar-maps through shared 2d-3d embedding space.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Global visual localization in lidar-maps through shared 2d-3d embedding space

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8fb7f9d9-3c7b-4dd9-b394-b07290b688f5 · outbound

This paper cites Pimae: Point cloud and image interactive masked autoencoders for 3d object detection.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Pimae: Point cloud and image interactive masked autoencoders for 3d object detection

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e144a3fa-39f9-4c6a-9d47-e92acd48018d · outbound

This paper cites Object modeling by regis- tration of multiple range images.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Object modeling by regis- tration of multiple range images

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation aa1fadbc-fc67-4a00-8510-b7a14c41468f · outbound

This paper cites Superpoint: Self-supervised interest point detec- tion and description.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Superpoint: Self-supervised interest point detec- tion and description

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 40a6c37a-b582-4407-9983-aacaf28ee269 · outbound

This paper cites Carla: An open urban driv- ing simulator.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Carla: An open urban driv- ing simulator

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 610aeccc-457c-4da7-a05e-f85bc2bbc77d · outbound

This paper cites D2-net: A trainable cnn for joint detection and description of local features.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes D2-net: A trainable cnn for joint detection and description of local features

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fa6d3c25-0319-4c2f-8398-a7c3c12e3994 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d94b7c60-092a-4525-9f36-1b287146e8d3 · outbound

This paper cites Fischler and Robert C.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Fischler and Robert C

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a4a9e478-9798-48b1-a35c-dbe9ab7425c9 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:39.141695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 00dd7522-0bfb-4785-a91f-b1b0ea3c197e · outbound

This paper cites Deep residual learning for image recognition.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Deep residual learning for image recognition

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 50083af4-54ad-4500-98b2-82da64cc41c6 · outbound

This paper cites Anpr product functions and problem troubleshooting.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Anpr product functions and problem troubleshooting

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dfe508ae-a1ec-4961-b9d0-db65b24b32a9 · outbound

This paper cites Predator: Registration of 3d point clouds with low overlap.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Predator: Registration of 3d point clouds with low overlap

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 98db9451-145e-49a7-9ff2-d79c2e7e03db · outbound

This paper cites Reconstructing the world in six days.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Reconstructing the world in six days

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 11e035ff-faad-4c2d-81a8-933d0f6ed246 · outbound

This paper cites Intrinsic and extrinsic calibration of roadside lidar and camera.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Intrinsic and extrinsic calibration of roadside lidar and camera

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e6330801-34f6-4867-ad5e-cc6dcb126603 · outbound

This paper cites CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.481860Z digest=sha256:d2a77bd8c4bf21326f0d44152ff403001ab533a79a3e4d2a50a08bf23bbdccdb

Observation 6c470ae1-e454-4aca-a74b-80aa8db2ef9c · outbound

This paper cites Ep2p-loc: End-to-end 3d point to 2d pixel localization for large-scale visual localization.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Ep2p-loc: End-to-end 3d point to 2d pixel localization for large-scale visual localization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.996386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b382b690-cc79-4798-887a-00df467226ba · outbound

This paper cites Kingma and Jimmy Lei Ba.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Kingma and Jimmy Lei Ba

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.963175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dcfd228a-7a7c-4d08-87c6-3adda14b9983 · outbound

This paper cites General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes General, Single-shot, Target-less, and Automatic LiDAR-Camera Extrinsic Calibration Toolbox

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07303f92-cf16-4ac4-bb83-ec936ff99925 · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Epnp: An accurate o(n) solution to the pnp problem

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.939571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.517392Z digest=sha256:aba8b72acc199acfb2e298a326d0a7d63e3e30f0bd33073c85ab8bc0def15791

Observation b7a3d694-4191-4383-8b80-bd50a60ea256 · outbound

This paper cites DeepI2P: Image-to-Point Cloud Registration via Deep Classification.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes DeepI2P: Image-to-Point Cloud Registration via Deep Classification

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.916659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 69138c1f-cfb4-43c0-9c7b-246ca44f89c8 · outbound

This paper cites Vxp: V oxel-cross-pixel large-scale image- lidar place recognition.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Vxp: V oxel-cross-pixel large-scale image- lidar place recognition

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d9ed45f3-05b4-4bf5-8b9c-1eb6d2f3a80c · outbound

This paper cites Lightglue: Local feature matching at light speed.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Lightglue: Local feature matching at light speed

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.537550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 63a22e22-ec8a-4ebc-a637-6eae85f8f60e · outbound

This paper cites Extend your own correspondences: Unsupervised distant point cloud registration by progressive distance extension.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Extend your own correspondences: Unsupervised distant point cloud registration by progressive distance extension

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.857355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.543837Z digest=sha256:d2ce87ab87e315562dfad79c78cab6dc11e57cb189e71687d83a1b0feec2b541

Observation 8d639eae-c146-4efb-b32e-e0afaa605b64 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Distinctive image features from scale- invariant keypoints

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.835005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 41fdb002-68f3-443f-a515-03381622e42b · outbound

This paper cites DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:10:37.994646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f4753f1a-96dc-4b87-834e-ae66dd66531c · outbound

This paper cites Orb-slam: A versatile and accurate monocular slam system.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Orb-slam: A versatile and accurate monocular slam system

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.806456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.565241Z digest=sha256:1143949745a0a7621beedb791d0bdbdc7a1055350e0cab16d830d02ecf5200f0

Observation f6c768ff-fbe7-4ede-920a-7faaf1193cca · outbound

This paper cites A Survey of Structure from Motion.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes A Survey of Structure from Motion

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.571432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.571432Z digest=sha256:7759abbaf24afb1ef19ef07a0faa1c34a14985f3ecfebbb69d40d3b8ea6c2850

Observation 8c169d00-0d71-49ae-9af7-fde2aea35638 · outbound

This paper cites Lcd: Learned cross-domain descriptors for 2d-3d matching.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Lcd: Learned cross-domain descriptors for 2d-3d matching

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.769076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.578532Z digest=sha256:bfd793680910be789a7ee76d42ee15e35cc9dfb5fe37a350d5f8daf8038f732e

Observation 7aeffc22-eab2-4cb6-8fee-89b75f94cac5 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.745459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.588850Z digest=sha256:b9b7c18ab208ad6cde19b36d3cbcdd5b7b2030021b1196025032315cc82d582f

Observation 437c1e45-1e6c-4ec5-83c9-0b2755224308 · outbound

This paper cites Geotrans- former: Fast and robust point cloud registration with geo- metric transformer.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Geotrans- former: Fast and robust point cloud registration with geo- metric transformer

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.722293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.594994Z digest=sha256:bba02c5d08f454afb6cfded6b5acba5a6941f8d06def5a4ae95bb2cf6d3e75f0

Observation ac535cd6-027a-4853-a477-2e91625e942a · outbound

This paper cites Real-time dy- namic object detection for autonomous driving using prior 3d-maps.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Real-time dy- namic object detection for autonomous driving using prior 3d-maps

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.688615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.601987Z digest=sha256:82e231bb174c6c6eef77b3a9e6ffe7d3569cacf321d3db537e564825ccd369f4

Observation c3a61e29-2b9a-41ba-8c41-188d7d7d2744 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Corri2p: Deep image-to-point cloud registration via dense correspondence

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.668086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.610163Z digest=sha256:a5660c905c43bd732afba3e14525956e260a9c6b5cc1525a3831cf4d60c78051

Observation 673385d8-9f6d-4c05-92a5-d51806756827 · outbound

This paper cites R2D2: repeatable and re- liable detector and descriptor.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes R2D2: repeatable and re- liable detector and descriptor

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.637222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.617298Z digest=sha256:ed1a67f6f19b41d16ffc70dcd5040da074010ffe8ccc02c29273491934f85f3c

Observation 97998989-6207-4be2-ab3a-8a0335a31f2e · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Orb: An efficient alternative to sift or surf

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.627426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.627426Z digest=sha256:dffd0a91e9ea7c4ea37510cae2cb44e3f2230f1c3e55e2eaec8a65aa3d237a21

Observation 3bb32c8c-45ce-4729-b243-7e27df469a56 · outbound

This paper cites Efficient variants of the icp algorithm.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Efficient variants of the icp algorithm

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.594197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.634101Z digest=sha256:1f1180851f32ed801ddc807bfb7606719a07557e3737cdd65ac3ed73f15321ea

Observation 19993399-746f-4cdf-9b33-53d5f163ec5e · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes SuperGlue: Learning feature matching with graph neural networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.566329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.639687Z digest=sha256:99ba7dcf716f82d62ef72de4d11333fb54b81409cdf411d2534d3b8f711f48ca

Observation 6d781485-1d9e-4dde-a45f-f7116bd6fd8b · outbound

This paper cites Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Rendering-Enhanced Automatic Image-to-Point Cloud Registration for Roadside Scenes

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:10:37.936621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.652082Z digest=sha256:5a07db086c8b444f5037fcbf07441b641c0d8f5afc016acbb7b5c77bbb9b004f

Observation 8dc103ea-fdca-410a-8589-0777e28046f2 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Loftr: Detector-free local feature matching with transformers

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.660393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.660393Z digest=sha256:a6958e68908d9bdb8c007164d940a523566956a5ac6b9dc2a6d5e98ebac1c31e

Observation 11519d99-f400-4ff4-9d79-7ceda6355358 · outbound

This paper cites Neumap: Neural coordinate map- ping by auto-transdecoder for camera localization.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Neumap: Neural coordinate map- ping by auto-transdecoder for camera localization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.521034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.666924Z digest=sha256:a831c884d543f56e49e86f37e60a320632530ef4dbabeda305a8d1cae2e27159

Observation 48c4c17f-9b24-4674-a5ef-0ab3b6554e20 · outbound

This paper cites Toward planet-wide traffic camera cali- bration.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Toward planet-wide traffic camera cali- bration

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.676354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.676354Z digest=sha256:4d6f5213311f8bc785ef9be9c3735f07d3c7544d7a44a181c214708517bb1418

Observation d6c39e56-e00f-4ee0-8fe9-de5c043491ee · outbound

This paper cites FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T16:10:37.686252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:10:37.686252Z digest=sha256:5fd66d3aec3f6cf5ef12eb10ce3c6b4194b45f1e1448f0c6837dc4ead59f3e11

Observation f0097d3b-6f7a-4674-9e09-77ec560ac59b · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Dust3r: Geometric 3d vi- sion made easy

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.473334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.693937Z digest=sha256:bd6984dc9edcf411fa50552bfd3903f37e7289f1b1f87ee16f40e1371627d9b5

Observation ca3b569d-dd04-4e18-8a21-912d46a7e022 · outbound

This paper cites Efficient loftr: Semi-dense local feature matching with sparse-like speed.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Efficient loftr: Semi-dense local feature matching with sparse-like speed

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.446947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.700626Z digest=sha256:f1b72b7a976714df1faa9db667d2219ebb3aeb53f80715cfc028c33c9f90ae91

Observation 0e0b6300-da47-4089-9089-d7b3f4afc56e · outbound

This paper cites Soe-net: A self-attention and orientation encoding network for point cloud based place recognition.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Soe-net: A self-attention and orientation encoding network for point cloud based place recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.410418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.709262Z digest=sha256:3ba59b6054258bd223f7fba8b55f81d95f7efcc84ed8c8d1a9f2f93808e8e97e

Observation 691b2189-b5a4-4275-a687-bc95cf73b1f3 · outbound

This paper cites Casspr: Cross attention single scan place recognition.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Casspr: Cross attention single scan place recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.384268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.717043Z digest=sha256:794e70fbb423c1921e8922a03089e4a1c54f110c7fb0f1119b2181d9674f3214

Observation 5a93a6fb-8a3c-4665-b535-cac9e6c44800 · outbound

This paper cites A lightweight and detector-free 3d single object 10 tracker on point clouds.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes A lightweight and detector-free 3d single object 10 tracker on point clouds

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.360610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.727308Z digest=sha256:b5ac1f376e7b4ebed10970cde99ed1883bb4389a907a00ed90e13734cfd59e3b

Observation 79fb9dad-16e4-420b-87c6-d21373ed702b · outbound

This paper cites 3dtnet: Learning local features us- ing 2d and 3d cues.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes 3dtnet: Learning local features us- ing 2d and 3d cues

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.317040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.738099Z digest=sha256:313a78fef682eb98d855c0bd131ef871d3d59a41d1f1959844a46ecadba0efbc

Observation 974b1ae9-ea96-4002-a692-53b508094032 · outbound

This paper cites Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Quantity-Aware Coarse-to-Fine Correspondence for Image-to-Point Cloud Registration

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-11T16:10:37.864941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.745795Z digest=sha256:bb4ac4750bbf884c15a8ffc5451a10ed3956d282926bae486d5bacd5cc32d266

Observation 21a82ebe-e276-4634-9bd7-5e59c7ff9c91 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.292319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.752618Z digest=sha256:87d70290334721b222684c029916671562bb21efab4a9d510d82b1bb23a57229

Observation 79d4450d-34a0-471d-970a-014d69434ce1 · outbound

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

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Pixel-level extrinsic self calibration of high resolution lidar and camera in targetless environments

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.253616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.759600Z digest=sha256:d2f3c0a50459b90152484f97a668fc9a3f8181cf96e01d952eb9e612f85dc191

Observation 89654d0d-a40a-463e-a254-375e6149fa25 · outbound

This paper cites 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes 3dmatch: Learning local geometric descriptors from rgb-d reconstruc- tions

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.219898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.767897Z digest=sha256:15909108fca16078126a242681aacffb799434607ea0f5bc5046644438863ee5

Observation e2e1e62b-438f-476f-9c5a-95ae2544bc8c · outbound

This paper cites Telling left from right: Identifying geometry-aware semantic corre- spondence.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Telling left from right: Identifying geometry-aware semantic corre- spondence

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.193661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.773236Z digest=sha256:2b98e633ab10321cc52529b82e2789102f6e93f28bb3fe73aff847ef17dff625

Observation a400936a-c5f2-40ff-a856-a59fe20caf84 · outbound

This paper cites Point transformer.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes Point transformer

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.161095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.782667Z digest=sha256:b7b7496ce45fc74fbfdfd54f324901064db4c2a089d9e6823a8c3a1b451c5f7b

Observation 28b71832-08de-4303-883b-1875e9de286a · outbound

This paper cites NCL” means using normal contrastive learning, while “ICL.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes NCL” means using normal contrastive learning, while “ICL

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.126220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.789509Z digest=sha256:bf2ea6fb4db23aa69837f454bce99b4ea588a82db363d341f41cdc5e8e924d88

Observation ac7b9433-7c68-49eb-a79c-ada1f4d38691 · outbound

This paper cites # intersections.

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes # intersections

Reference 960

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:10:38.092063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T16:10:37.797645Z digest=sha256:51aea0299daa13c8c772d3d8a02e8f5e6c5bae183b713c7073d386ac27d7c9e0

Pith citing papers

No inbound Pith citation observations are available.