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Paper Citation Record · LEDGER

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning

As of 15 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2412.16229.

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

pith.paper-citation-record.v1
2412.16229 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:22:24.151610Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:36:20.129404Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact16
  • verified fuzzy20
  • unresolved27
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bbb287de-970f-440f-ade9-72c0c30f07a2 · outbound

This paper cites Vision-Centric BEV Perception: A Survey.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Vision-Centric BEV Perception: A Survey

Reference 1

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Observation 7573eca8-495d-4adb-9cd3-bf858cff17e7 · outbound

This paper cites Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Reference 2

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Observation e7672975-7931-4254-8836-7e44883e5118 · outbound

This paper cites One Thousand and One Hours: Self-driving Motion Prediction Dataset.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning One Thousand and One Hours: Self-driving Motion Prediction Dataset

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 572b0c4d-05d9-456a-a13d-66dfd67d1db8 · outbound

This paper cites Cities 96, 102481 (2020) https://doi.org/10.1016/j.cities.2019.102481.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Cities 96, 102481 (2020) https://doi.org/10.1016/j.cities.2019.102481

Reference 4

Resolution
metadata mismatch
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Source-reported events for the cited work

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Observation c14005f1-c6fa-48af-8951-43ea57b3f881 · outbound

This paper cites Orthographic Feature Transform for Monocular 3D Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Orthographic Feature Transform for Monocular 3D Object Detection

Reference 5

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Source-reported events for the cited work

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Observation 03b83a36-5f7a-43e3-88ed-a0221c047ec6 · outbound

This paper cites In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, Xiamen, China, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, Xiamen, China, pp

Reference 6

Resolution
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Observation 82320384-f48e-4d2e-82ae-4db2f724e44f · outbound

This paper cites IEEE Trans.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Trans

Reference 7

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Observation c2456685-e4ab-4e3c-81ee-12316492e6d3 · outbound

This paper cites In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), Yogyakarta, Indonesia, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE 5th International Conference on Wireless and Telematics (ICWT), Yogyakarta, Indonesia, pp

Reference 8

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Source-reported events for the cited work

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Observation d9f44f3e-e46b-4d81-a630-86b295104e82 · outbound

This paper cites International Journal of Scientific & Engineering Research 3(5), 4 (2012).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning International Journal of Scientific & Engineering Research 3(5), 4 (2012)

Reference 9

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Observation f4c065df-4d6b-4feb-a9cc-709989b4b210 · outbound

This paper cites Sensors 12(4), 4431–4446 (2012) https://doi.org/10.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Sensors 12(4), 4431–4446 (2012) https://doi.org/10

Reference 10

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Observation a69cf182-7b42-4b43-b793-a2b1309b7ea6 · outbound

This paper cites In: Proceedings of the International Conference Actual Issues of Mechanical Engineering 2017 (AIME 2017), Tomsk, Russia (2017).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the International Conference Actual Issues of Mechanical Engineering 2017 (AIME 2017), Tomsk, Russia (2017)

Reference 11

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Observation 0b1962e9-6bf5-4bf0-aa63-54b971ad61ad · outbound

This paper cites Cross-View Image Synthesis using Conditional GANs.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Cross-View Image Synthesis using Conditional GANs

Reference 12

Resolution
verified exact
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Source-reported events for the cited work

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Observation ee006bb7-dfbb-4072-96cb-43390b91f37b · outbound

This paper cites MonoLayout: Amodal scene layout from a single image.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning MonoLayout: Amodal scene layout from a single image

Reference 13

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Source-reported events for the cited work

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Observation 5d8a9779-b1c6-44d5-b99f-aa1545113809 · outbound

This paper cites Proceedings of the IEEE 111(3), 257–276 (2023).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Proceedings of the IEEE 111(3), 257–276 (2023)

Reference 14

Resolution
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Source-reported events for the cited work

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Observation d625451a-ff38-476b-a668-4add028b96c8 · outbound

This paper cites International journal of computer vision 128, 261–318 (2020).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning International journal of computer vision 128, 261–318 (2020)

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 3af45e27-cff8-4503-b880-84fc4ecad317 · outbound

This paper cites IEEE access 7, 128837–128868 (2019).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE access 7, 128837–128868 (2019)

Reference 16

Resolution
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Observation 57652066-e2d5-4b2d-9645-f8b3c3bf4ae2 · outbound

This paper cites In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), vol

Reference 17

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Source-reported events for the cited work

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Observation 90cd7fce-9b28-48e3-9ee0-229b2d89b0f2 · outbound

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 18

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Observation a51c571a-a789-476b-a9e8-ff0cfa6b8cab · outbound

This paper cites IEEE Intelligent Systems and their applications 13(4), 18–28 (1998).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Intelligent Systems and their applications 13(4), 18–28 (1998)

Reference 19

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Observation dfb1b164-638d-446a-8c9d-242e30192ab8 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 20

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Observation 7e16a71f-5d41-4113-9258-eb599735f783 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Computer Vision, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 21

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This paper cites In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2017 IEEE Con- ference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, pp

Reference 22

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Observation 8c612751-1c04-4f92-87ac-0b918eca11ac · outbound

This paper cites https://github.com/ultralytics/yolov5 (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://github.com/ultralytics/yolov5 (2021)

Reference 23

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verified fuzzy
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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, pp

Reference 25

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Source-reported events for the cited work

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Observation d5c9c00a-037b-4d2e-a367-6157dfc91b4d · outbound

This paper cites In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Kerkyra, Greece, pp

Reference 26

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Observation 705b8a27-b179-4be5-a202-4036c6f9bd29 · outbound

This paper cites In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), pp

Reference 27

Resolution
verified exact
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Observation 8bf36fca-6a3f-41b9-a356-983774d53c93 · outbound

This paper cites Sensors 10(3), 2027–2044 (2010) https: //doi.org/10.3390/s100302027.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Sensors 10(3), 2027–2044 (2010) https: //doi.org/10.3390/s100302027

Reference 28

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Source-reported events for the cited work

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Observation 1a073e1b-300a-43e3-a847-7bcccb5165e0 · outbound

This paper cites Frana, M.B., Piai, J.C.: A new robust algorithmic for multi-camera calibration with a 1d object under general motions without prior knowledge of any camera intrinsic parameter.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Frana, M.B., Piai, J.C.: A new robust algorithmic for multi-camera calibration with a 1d object under general motions without prior knowledge of any camera intrinsic parameter

Reference 29

Resolution
verified exact
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Source-reported events for the cited work

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Observation 53ef480f-762f-40a4-8609-23b1b139e22c · outbound

This paper cites In: Proceedings 199 IEEE/IEEJ/JSAI International Confer- ence on Intelligent Transportation Systems (Cat.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings 199 IEEE/IEEJ/JSAI International Confer- ence on Intelligent Transportation Systems (Cat

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 9630e9d4-efc8-44ed-b1c3-d1bc521745bc · outbound

This paper cites In: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, pp

Reference 31

Resolution
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Source-reported events for the cited work

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Observation b3b9c9a5-a3d1-47b6-b499-ad3a250e25ae · outbound

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TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 32

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unresolved
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Source-reported events for the cited work

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Observation 983351bf-36ea-41de-b081-1e99238f91e8 · outbound

This paper cites FISHING Net: Future Inference of Semantic Heatmaps In Grids.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning FISHING Net: Future Inference of Semantic Heatmaps In Grids

Reference 33

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Observation a7520979-a2d5-4b21-a423-9cf16d331863 · outbound

This paper cites PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

Reference 34

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local_arxiv, observed 2026-08-11T12:22:24.852697Z

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Observation a11ce965-91a6-4488-9514-37a29d4305e7 · outbound

This paper cites PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Reference 35

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Observation cf9d8d5e-a32f-4251-8a85-fac8c801c7c7 · outbound

This paper cites an unresolved cited work.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-11T12:22:25.825204Z

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Observation 3e54c0d4-d9ad-4dd5-b679-568bdefd9f17 · outbound

This paper cites BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous Driving

Reference 37

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Observation 9d3f79fb-c6ab-40d3-8a5f-9157b58247b6 · outbound

This paper cites an unresolved cited work.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-11T12:22:25.813778Z

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Observation 24dcbf82-0a47-4d66-b975-9e4ccd3e02d6 · outbound

This paper cites IEEE Robot.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning IEEE Robot

Reference 39

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:23.999234Z digest=sha256:8cc62ba85ec0dfd33458e91c1c37c6397d9dd595b96ec6ef0248ebc7a57bd995

Observation 95641b6f-967c-4a8a-be49-30e9cb91efc0 · outbound

This paper cites BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs

Reference 40

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local_arxiv, observed 2026-08-11T12:22:24.737737Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.003303Z digest=sha256:b0083708a405b55e46366ac96577b7c780fb98a8bb0266a9ff7abeed58ba5894

Observation 0eea5f43-c714-46f1-ae57-016618340a96 · outbound

This paper cites LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation

Reference 41

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local_arxiv, observed 2026-08-11T12:22:24.720582Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1c57bbb7-614a-4db0-977c-26921e4aac43 · outbound

This paper cites In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC, Canada, pp

Reference 42

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no resolver link, observed 2026-08-11T12:22:24.014909Z

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source=pdf_text observed=2026-08-11T12:22:24.014909Z digest=sha256:de17bbb7a26a001b6e4192cb8bfb460ffb56427ba209332552d25f0158224371

Observation 45172a12-f53c-4904-b03d-fd4d7a49fc1e · outbound

This paper cites HFT: Lifting Perspective Representations via Hybrid Feature Transformation.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning HFT: Lifting Perspective Representations via Hybrid Feature Transformation

Reference 43

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local_arxiv, observed 2026-08-11T12:22:24.629894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.019786Z digest=sha256:861b517300e849a1d531c3d889ab95b9fa8f143301410db2c1b451f5effb50aa

Observation 31ca8153-8ad8-4272-a18a-53f56c0bbd57 · outbound

This paper cites GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation

Reference 44

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verified exact
local_arxiv, observed 2026-08-11T12:22:24.612097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.024079Z digest=sha256:acb188017d9cf4e886b3edfc2bf1bbf611f9878794597cb9693e57689827927d

Observation 86b13024-1c4b-4eef-a025-ff15efb233d1 · outbound

This paper cites In: ICCV (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: ICCV (2021)

Reference 45

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raw_fallback, observed 2026-08-11T12:22:25.801917Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.029121Z digest=sha256:5a7f9ee1e6eab6e598523fd9c2758ab2bf373a2b949d8dbcde4bb6f1f895278c

Observation 1541e701-471e-49f7-bcfc-18f16de9b4a2 · outbound

This paper cites Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval

Reference 46

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local_arxiv, observed 2026-08-11T12:22:24.588477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.035299Z digest=sha256:ac926852ae8401d78ebe8ce4ff3fcde73b72ee2f009b40e34cbb97487581fad8

Observation e45b32ae-d568-43b0-aea2-7fbc186025a0 · outbound

This paper cites In: Computer Vision ECCV 2014.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Computer Vision ECCV 2014

Reference 47

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Observation 9199afe3-2b1f-4a4b-9874-6c2a957f18fd · outbound

This paper cites https://github.com/nwojke/deepsort.git (2019).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://github.com/nwojke/deepsort.git (2019)

Reference 48

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raw_fallback, observed 2026-08-11T12:22:25.790454Z

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Observation e51039fa-32ce-4513-be4b-154cfe3e1023 · outbound

This paper cites In: 2016 IEEE Int.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2016 IEEE Int

Reference 49

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Observation 326f9f3e-59f8-4f74-9fca-0d2e1515de33 · outbound

This paper cites M3D-RPN: Monocular 3D Region Proposal Network for Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning M3D-RPN: Monocular 3D Region Proposal Network for Object Detection

Reference 50

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local_arxiv, observed 2026-08-11T12:22:24.488947Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 46416138-a581-40e9-b840-c920a4d08cd2 · outbound

This paper cites an unresolved cited work.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Unresolved cited work

Reference 51

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 91322d4d-a2d9-4d32-927f-d3d7ed7ab3cc · outbound

This paper cites ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection

Reference 52

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verified exact
local_arxiv, observed 2026-08-11T12:22:24.464487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 765fa1e3-5f59-44c1-a2fb-f8aa25f6e4a3 · outbound

This paper cites FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Reference 53

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Observation e1871f45-c090-4b70-b42c-df5c82770f28 · outbound

This paper cites PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

Reference 54

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Observation 49364221-b536-4cf1-a1b1-576067241898 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 55

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Observation 23753a2c-360c-435d-91f3-0e6b2c85c709 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Adam: A Method for Stochastic Optimization

Reference 56

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no resolver link, observed 2026-08-11T12:22:24.085667Z

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Observation d63d9d48-55bf-4a6a-9cb7-59d181850427 · outbound

This paper cites In: 2018 IEEE International Conference 26 on Robotics and Automation (ICRA), Brisbane, QLD, pp.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2018 IEEE International Conference 26 on Robotics and Automation (ICRA), Brisbane, QLD, pp

Reference 57

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Observation ea0f9713-55af-4ef1-98b4-2620e987c73d · outbound

This paper cites NeurVPS: Neural Vanishing Point Scanning via Conic Convolution.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

Reference 58

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local_arxiv, observed 2026-08-11T12:22:24.314408Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 52389637-0000-49ec-8429-7e5a31bb5402 · outbound

This paper cites https://www.tfljamcams.net/ (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning https://www.tfljamcams.net/ (2021)

Reference 59

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raw_fallback, observed 2026-08-11T12:22:25.765602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 7f27746c-7b38-4e37-9ba5-56a0fc243b56 · outbound

This paper cites In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV) (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (W ACV) (2021)

Reference 60

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raw_fallback, observed 2026-08-11T12:22:25.751690Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.106273Z digest=sha256:2d3f6d1d1562c9c562a4a3c365c75b0737cb60c7530bc9657942fdf10b9a0a1b

Observation abcbc463-c492-47bc-b3e9-b3d32c13db56 · outbound

This paper cites In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2015)

Reference 61

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raw_fallback, observed 2026-08-11T12:22:25.738922Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ba1337f1-e28d-4704-8c96-5c2e1072f35b · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)

Reference 62

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raw_fallback, observed 2026-08-11T12:22:25.724172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 88a9b6d6-a123-4c3e-a3bf-287414a3b682 · outbound

This paper cites In: IEEE Int.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: IEEE Int

Reference 63

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raw_fallback, observed 2026-08-11T12:22:25.708064Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6e90fb32-40f0-430f-83f1-089a0f1c6508 · outbound

This paper cites In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of IEEE International Conference on Computer Vision (ICCV) (2021)

Reference 64

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raw_fallback, observed 2026-08-11T12:22:25.692889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1c8fc084-36db-4293-bf6c-ffa8d4047667 · outbound

This paper cites In: Proceedings of the Conference on Robot Learning (CoRL) (2021).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Conference on Robot Learning (CoRL) (2021)

Reference 65

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raw_fallback, observed 2026-08-11T12:22:25.679930Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d03ce87e-aa32-4d9e-b099-3fd0fba7afd5 · outbound

This paper cites In: Proceedings of the Conference on Robot Learning (CoRL) (2022).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the Conference on Robot Learning (CoRL) (2022)

Reference 66

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raw_fallback, observed 2026-08-11T12:22:25.663258Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e58dd478-3e13-4a5f-9a08-eeb4be1060d4 · outbound

This paper cites PETR: Position Embedding Transformation for Multi-View 3D Object Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning PETR: Position Embedding Transformation for Multi-View 3D Object Detection

Reference 67

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unresolved
no resolver link, observed 2026-08-11T12:22:24.135329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 384c918a-0070-43c4-9520-03abf2fb0149 · outbound

This paper cites Superconducting dome by tuning through a Van Hove singularity in a two-dimensional metal.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning Superconducting dome by tuning through a Van Hove singularity in a two-dimensional metal

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T12:22:24.283175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 50d7e22f-d6ea-44cf-a8a3-b9a2b0476ef8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020).

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T12:22:25.650023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T12:22:24.143451Z digest=sha256:bd55a1b53939ee097714753c45d18abcad14bf4d1cd4676933fab1b8f016ec91

Observation 0f2dfabf-2a4c-4a8b-bb4f-0011aac8c0da · outbound

This paper cites 3D-LaneNet: End-to-End 3D Multiple Lane Detection.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning 3D-LaneNet: End-to-End 3D Multiple Lane Detection

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T12:22:24.147359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:22:24.147359Z digest=sha256:968ab41f262c92898f9cb21d46885fe9c1c57f9c542124dc6b7e3276bac533bb

Observation 915e47d1-a581-4484-bfd7-17b6e110d51e · outbound

This paper cites In: Lecture Notes in Computer Science.

TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning In: Lecture Notes in Computer Science

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T12:22:24.151610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 25ab440a-0b34-475d-afbd-a4ff53adb175 · inbound

Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking cites this paper.

Transforming CCTV cameras into NO$_2$ sensors at city scale for adaptive policymaking TopView: Vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T23:36:20.340228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-10T23:36:20.129404Z digest=sha256:a3c75d624c3175aeded8e5756eba52a14a872808419d748f53516029dbc3e51e