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Paper Citation Record · LEDGER

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.18851.

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

pith.paper-citation-record.v1
2501.18851 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:19:18.217283Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

56 of 56 outbound references displayed

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  • verified fuzzy46
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcf596e7-eee8-4dcf-b4b9-21a291fb29d2 · outbound

This paper cites Neurocomputing 493, 626–646 (2022).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Neurocomputing 493, 626–646 (2022)

Reference 1

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Observation 76eb76b2-0e67-495c-9199-f68da49d6315 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 2

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Source-reported events for the cited work

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Observation db60c79b-9466-4853-a84c-948aa4bd01e9 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 3

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Observation 2faa28b0-475f-4323-a571-f0c01fbe9b21 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 96bf86d0-0a53-4a11-bfab-b9f5c74fb634 · outbound

This paper cites In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 2b188582-fc26-4b14-9a3b-4c3adad30d9e · outbound

This paper cites In: European Conference on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: European Conference on Computer Vision, pp

Reference 6

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Observation 07884825-61f5-4272-9bc3-b0f62df6f0f4 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 7

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Source-reported events for the cited work

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Observation 9156ac84-79dc-4918-af50-c85f11e033c2 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: European Conference on Computer Vision, pp

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78b00939-9b49-4ca1-855b-13ae86012007 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 633c77d3-857b-444b-be0d-1ae1a2ff1c5b · outbound

This paper cites Displays 70, 102080 (2021) 21.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Displays 70, 102080 (2021) 21

Reference 10

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Observation 61358f79-dcec-44b8-9995-69530c9774f6 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 11

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Observation ee956f32-c1c3-48dc-bdb6-4dcdff34c950 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 12

Resolution
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Observation 59fbd46c-65a8-4509-9d13-de003f4f347b · outbound

This paper cites In: International Conference on Image and Graphics, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: International Conference on Image and Graphics, pp

Reference 13

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Observation c818dd64-aea7-4cf3-a5b2-9a5d66c3c844 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dc8ffbae-ba61-4037-b06f-abe180ce1772 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 15

Resolution
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Source-reported events for the cited work

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Observation 14fe8293-242b-4bd2-9c95-79f3aa686750 · outbound

This paper cites In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp

Reference 16

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Source-reported events for the cited work

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Observation ca9b60ea-a3f8-49a0-a520-09103169f3e9 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence 40(4), 834–848 (2017).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks IEEE transactions on pattern analysis and machine intelligence 40(4), 834–848 (2017)

Reference 17

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Observation 7f5ef267-338c-4d56-9e2d-7800aa5316f9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 18

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Observation 64d795f3-56e3-4dca-bf55-77ec3fc5cc03 · outbound

This paper cites CVPR (2018).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks CVPR (2018)

Reference 19

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Observation f345e6ed-fd40-4815-92f4-f7200ca9890b · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 20

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Observation 25e53731-4408-49c8-a382-ae5bf6fbbd7a · outbound

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Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Unresolved cited work

Reference 21

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Observation 0b9d7520-c4c8-4344-83d2-b86e8725b5b9 · outbound

This paper cites Image and Vision Computing 105, 22 104042 (2021).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Image and Vision Computing 105, 22 104042 (2021)

Reference 22

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Observation 15dd2f25-1a69-405f-929d-05ea7993dccd · outbound

This paper cites Neurocomputing 462, 568–580 (2021).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Neurocomputing 462, 568–580 (2021)

Reference 23

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Observation 20cc6f8a-c81f-4f2f-aa22-d44197183641 · outbound

This paper cites In: Asian Confer- ence on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Asian Confer- ence on Computer Vision, pp

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 892e83cf-0d96-4529-8a22-6ef8c7b895ae · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 25

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Observation 5f8ebc55-c178-48d9-bb6c-d1ca852b0798 · outbound

This paper cites In: Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceed- ings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 26

Resolution
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Observation dda6c1b0-e77a-4273-a3c1-1acad1267793 · outbound

This paper cites Advances in Neural Information Processing Systems 33, 4835–4845 (2020).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Advances in Neural Information Processing Systems 33, 4835–4845 (2020)

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 33d95018-647f-4ab5-a16f-ce203868b108 · outbound

This paper cites Global-Local Propagation Network for RGB-D Semantic Segmentation.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Global-Local Propagation Network for RGB-D Semantic Segmentation

Reference 28

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Observation f88f4cd5-c076-4aca-9774-f3da786fa371 · outbound

This paper cites In: Proceed- ings of the European Conference on Computer Vision (ECCV), pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceed- ings of the European Conference on Computer Vision (ECCV), pp

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8e9cd522-1b4f-443d-934a-7739f5c31ec8 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: European Conference on Computer Vision, pp

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 20af9cf5-83b9-45cc-8689-0d1012b7e5a7 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 31

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 75307e52-37a1-4cb9-a747-a83b8bf10cae · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9fae59ad-35a2-4164-8f1c-438c93d55355 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5c6b0987-0a36-431e-b22a-0d3ba79b8a23 · outbound

This paper cites CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T22:19:18.124005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:19:18.124005Z digest=sha256:ae1295f086fe21f2e3fbde48fac8104f68f9d2deb19c4eb61721fe61c5eb031b

Observation 50a38ecf-8a62-44a8-91fe-9e74f4c4754c · outbound

This paper cites Pattern Recognition129, 108708 (2022).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Pattern Recognition129, 108708 (2022)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.534386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.128445Z digest=sha256:632da5bc75a9e3a2c86169c82128330eae7f63ce29e90774ad9bd65d2236c728

Observation 177f50ad-ad3d-482b-ae8e-900737209113 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.523786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.132683Z digest=sha256:1db62bcfb3f14a04655adede9abba6710670954d6da8ed15240d4835cfe7738c

Observation 242bc2f1-56a7-4161-a699-c0e205b91832 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.512467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.137197Z digest=sha256:c863dda7046f6e1759ba17a51fa901534b6e134dd5b4e879615e918774af3d46

Observation 63cbeef3-2ea9-4ae3-ae24-684c6d610e95 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.500633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.141427Z digest=sha256:6f83fa9c0b3f3d222c08ace35e5b3814d80fe0ad8ca84b32cf59e012db34963f

Observation 0afa69bf-ca7f-4e67-9135-5789f992874a · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.489316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.145874Z digest=sha256:8e8e2736609b2d2dc85649439ebc4e52c11e5e2f60b069c8d6a3916e475955cb

Observation aa2012f4-0272-42c5-a5d5-4f13da67c73f · outbound

This paper cites In: 2019 International Conference on 3D Vision (3DV), pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: 2019 International Conference on 3D Vision (3DV), pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.478243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.150005Z digest=sha256:b01cc2cce6081d647879d8f201ab7830024b4c598f03eb0b03e0167750d5ed82

Observation 111c329a-1627-4965-a989-e71a2d0123f5 · outbound

This paper cites Advances in Neural Information Processing Systems 31 (2018).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Advances in Neural Information Processing Systems 31 (2018)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.467404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.154350Z digest=sha256:63eda47ff4cb6e6229ea9ce0cc7501061663da1fb964ed2e9dc3212d055a79fc

Observation 9bfc166f-358c-4986-b81e-b23353cc007b · outbound

This paper cites Advances in Neural Information Processing Systems 31 (2018).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Advances in Neural Information Processing Systems 31 (2018)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.456929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.158468Z digest=sha256:6ae8717a11296d15c8dec039ed4e9d368068ce7ed2be7042b1cdf81d9a2ffbd3

Observation 31ac7d1f-94ca-45de-99a9-0a6b12e6d0f8 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.446418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.162601Z digest=sha256:1cb4d4c711c3a9cf204aec8a567a3a0ddbd17d8b7e67e1438bf1251a4f054f39

Observation f61a1a51-8411-4463-b554-cb598e436608 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T22:19:18.166647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:19:18.166647Z digest=sha256:bc87145203086d9b410153f318f66aacb9089a900e6e29d36e443796c294ad70

Observation dddfbf49-3e90-42ff-a37e-db061cbf1889 · outbound

This paper cites Vision GNN: An Image is Worth Graph of Nodes.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Vision GNN: An Image is Worth Graph of Nodes

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T22:19:18.171751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:19:18.171751Z digest=sha256:8737fc986eca044a8cd572062d969c41e3205a622ee71750d80bd89fb081660a

Observation f561f71a-dc8d-4eae-9a31-ee0d3a2c2081 · outbound

This paper cites In: Proceedings of the ACM Web Conference 2022, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the ACM Web Conference 2022, pp

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.435775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.177157Z digest=sha256:1de60e93b13f4f4fa8647f94a3f7257b3f6d7e2eda70615e64594cda118d9611

Observation 6aa9af23-34dd-4349-b013-7d4344aebc97 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.425128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.181417Z digest=sha256:15424a797c54ff4cfd793b5d4fd2b2b3ccf6f4fbbfc9f2b01cbf6cd0087a575f

Observation 7b96c5cc-bcc5-428d-b541-a0da3fb972b2 · outbound

This paper cites In: IEEE International Conference on Image Processing, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: IEEE International Conference on Image Processing, pp

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.413208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.185510Z digest=sha256:4fdb1654b4238ee01b2ff8b2a5f1f4c2744e78b410b6ac4c9ac711a95c75acb8

Observation 32e25b09-0365-4bbc-acee-934c0a5bcf68 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: European Conference on Computer Vision, pp

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.401572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.189618Z digest=sha256:4118c8d1aa4571ada82218568c1b0dc47684d9bcaf517faf59dadec2347cf645

Observation b2e2c750-c764-4f1c-8020-0e42b8d89edb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.389552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.193387Z digest=sha256:ce2edba5693a808757893d2c07ccd322aa7a89af9f64009af11e7cb0a620f6d6

Observation 5eb32d81-f6ac-47dc-8867-0e5d6c5f9aef · outbound

This paper cites Pattern Recognition 124, 108468 (2022).

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks Pattern Recognition 124, 108468 (2022)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.377543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.197300Z digest=sha256:eff09e18ff9996c9253d993429c44ead7e9100ff7719a0f6aff2d5b59fe8fe90

Observation 44647db4-f0f2-4e16-a67b-e39daf1b2975 · outbound

This paper cites In: European Conference on Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: European Conference on Computer Vision, pp

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.365335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.201173Z digest=sha256:aee9bb760f9f1dc1968441d465c6a58dda7823b5652c172b6cbc803b82ba361f

Observation 52ef494a-c028-4296-ac7e-85546e6ee7c1 · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.353753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.205181Z digest=sha256:12c2890ed7917425355897709180ea40a8467d35396ed5c6292ac7d105b2fb96

Observation 0e73cd73-eb1b-418b-af9b-aafe9b34405e · outbound

This paper cites In: Consumer Depth Cameras for Computer Vision, pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Consumer Depth Cameras for Computer Vision, pp

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.341877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.209095Z digest=sha256:a3af5dfbe4aa1c05710e5a50a5ba43d73fd266de54787593954f4b1ca85e997a

Observation ff7b1edf-9edf-4b24-91ff-daa658f4953f · outbound

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

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: Proceedings of the IEEE International Conference on Computer Vision, pp

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.329986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.212747Z digest=sha256:6b7c6e17abff666b099d8e67f93a8d8021a72335c03b433d444789b790267d0f

Observation 99489387-cfc6-430b-926a-626754e8274d · outbound

This paper cites In: 2021 IEEE Interna- tional Conference on Robotics and Automation (ICRA), pp.

Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks In: 2021 IEEE Interna- tional Conference on Robotics and Automation (ICRA), pp

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T22:19:18.318502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-09T22:19:18.217283Z digest=sha256:1778196e413a8eba91ce8f735d6235e5a0b3e54e7dccebae5a5ae42d2500dbd6

Pith citing papers

No inbound Pith citation observations are available.