Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks | Paper Citation Record

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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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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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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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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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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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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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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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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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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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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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

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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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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

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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

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

Reference 21

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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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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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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

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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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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

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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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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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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

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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

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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

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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

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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

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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

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

Reference 35

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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

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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

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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

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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

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

Reference 40

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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

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

Reference 42

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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

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

Reference 44

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

Reference 45

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

Reference 46

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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

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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

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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

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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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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Reference resolution

Outbound references

Pith citing papers