MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity | Paper Citation Record

Observation 963bfe10-af75-406f-ab32-36ce1a4a3b2a · outbound

This paper cites European Conference on Computer Vision, 748–761 (2010).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity European Conference on Computer Vision, 748–761 (2010)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:31.331679Z

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Observation 0aee1713-a0e0-4c89-bc34-c9c2ac97bb49 · outbound

This paper cites 2019 16th International Conference on Ubiquitous Robots (UR), 189–193 (2019).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2019 16th International Conference on Ubiquitous Robots (UR), 189–193 (2019)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:31.098878Z

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Observation d8d69ca8-c20d-4d85-8f17-d9b5f4761fe3 · outbound

This paper cites VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity VPAIR -- Aerial Visual Place Recognition and Localization in Large-scale Outdoor Environments

Reference 3

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This paper cites 2024 IEEE Radar Conference (RadarConf24), 1–6 (2024).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2024 IEEE Radar Conference (RadarConf24), 1–6 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:30.806769Z

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Observation 9dc6de8c-d56b-4bb2-b1b8-f6cf59323058 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17595–17605 (2024).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 17595–17605 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:30.561552Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bc664d4-d542-4091-b469-b4cf72716629 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 4470–4479 (2018).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE conference on computer vision and pattern recognition, 4470–4479 (2018)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:30.281464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 10e4d6ad-b97e-4a5d-bfeb-0c754c662876 · outbound

This paper cites Journal of Field Robotics 36(2), 355–369 (2019).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Journal of Field Robotics 36(2), 355–369 (2019)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:30.062133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c3a71b03-2b2b-41f2-ae2c-2a518eecbb0f · outbound

This paper cites Journal of Marine Science and Engineering 11(11), 2198 (2023).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Journal of Marine Science and Engineering 11(11), 2198 (2023)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.874011Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af22348c-e05a-45c8-935a-162fb20e04f6 · outbound

This paper cites Pro- ceedings of the IEEE/CVF winter conference on applications of computer vision, 22 1790–1799 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Pro- ceedings of the IEEE/CVF winter conference on applications of computer vision, 22 1790–1799 (2021)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.705517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e236c0e-c6cc-4db6-9ce2-975112996ff4 · outbound

This paper cites Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation

Reference 10

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Observation fe5ae5b9-9102-4d47-a3f9-6bab0a907039 · outbound

This paper cites 2021 IEEE/RSJ international conference on intelligent robots and systems (IROS), 4467–4473 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2021 IEEE/RSJ international conference on intelligent robots and systems (IROS), 4467–4473 (2021)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.581478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 071b4449-0671-4c53-9e2a-adece978c358 · outbound

This paper cites Remote Sensing 17(6) (2025).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Remote Sensing 17(6) (2025)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.374688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b0c7b7e-851d-4d89-9fd7-4c7b9085b375 · outbound

This paper cites IEEE Robotics and Automation Letters 7(2), 1079–1086 (2022) https://doi.org/10.1109/lra.2021.3136863.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Robotics and Automation Letters 7(2), 1079–1086 (2022) https://doi.org/10.1109/lra.2021.3136863

Reference 13

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Source-reported events for the cited work

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Observation 5678bbc0-2a15-485d-a2b3-decb86c10291 · outbound

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

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.212676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42f41f44-44eb-4c4d-8648-d83cd40b36a2 · outbound

This paper cites In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:29.013957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c7819983-be73-4c41-be9f-c4aa9bb14d66 · outbound

This paper cites MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:23.704813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d5c9beb0-80d9-49e6-b7d3-7409e76cd73f · outbound

This paper cites Neural Computing and Applications 35(22), 16487–16508 (2023).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Neural Computing and Applications 35(22), 16487–16508 (2023)

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:28.818050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0aef0a0d-1663-42bb-8cde-c633d800d2e1 · outbound

This paper cites IEEE access11, 128421–128428 (2023).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE access11, 128421–128428 (2023)

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:28.652031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation df4803e1-c2ee-4820-97f1-90b8039254c1 · outbound

This paper cites IEEE Access 9, 19516–19547 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Access 9, 19516–19547 (2021)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:28.484180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 779f1ed9-1f00-4cd6-ae41-00f3f16edb24 · outbound

This paper cites Journal Computer Vision and Image Understanding (CVIU) 72(2), 173–196 (2008) 23.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Journal Computer Vision and Image Understanding (CVIU) 72(2), 173–196 (2008) 23

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:28.310500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02b3ac4d-0584-4b47-be7b-5e6f340d6027 · outbound

This paper cites Interna- tional journal of computer vision 60, 91–110 (2004).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Interna- tional journal of computer vision 60, 91–110 (2004)

Reference 21

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Source-reported events for the cited work

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Observation c57508c4-fe89-4b5b-89bc-0a2976e08662 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 5297–5307 (2016).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE conference on computer vision and pattern recognition, 5297–5307 (2016)

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:28.127572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6bf1cc80-b030-4aed-aee5-8e4ed0791a4d · outbound

This paper cites IEEE Transactions on Robotics 28(5), 1188–1197 (2012).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Transactions on Robotics 28(5), 1188–1197 (2012)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:27.927262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 299adad5-1df0-4713-a565-89f96ef11dd7 · outbound

This paper cites City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity City-Scale Visual Place Recognition with Deep Local Features Based on Multi-Scale Ordered VLAD Pooling

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:23.532974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ad5cd423-1368-4a54-a66d-08bc056be1a4 · outbound

This paper cites European Conference on Computer Vision, 196–215 (2022).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity European Conference on Computer Vision, 196–215 (2022)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:27.753311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ffebe51-15e2-4a3a-afee-3c8aeb18bcaa · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 23182–23190 (2023).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 23182–23190 (2023)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:27.574445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3279b877-16c8-4c2f-ba33-2466cbe7b722 · outbound

This paper cites Advances in Neural Information Processing Systems 34, 29009–29020 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Advances in Neural Information Processing Systems 34, 29009–29020 (2021)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:27.327783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26506da9-2d69-4a5e-8196-625b99ad3df1 · outbound

This paper cites Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:19.727206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbc79c4f-deae-44fc-b7bb-4a5918940165 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 652–660 (2017).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE conference on computer vision and pattern recognition, 652–660 (2017)

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:27.085759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5162ea35-04a5-46ea-9fcb-c57221a1e377 · outbound

This paper cites 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), 922–928 (2015).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2015 IEEE/RSJ international conference on intelligent robots and systems (IROS), 922–928 (2015)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:26.853924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a765c5dd-9936-43d7-8feb-b3f57a01fee0 · outbound

This paper cites TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity TransLoc3D : Point Cloud based Large-scale Place Recognition using Adaptive Receptive Fields

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:23.303833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e66f29a-2d85-43ec-8097-f47ff44790e1 · outbound

This paper cites 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2831–2840 (2019) 24.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2831–2840 (2019) 24

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:26.720254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b176d7d-c3d9-4403-9b53-0b80b0249d20 · outbound

This paper cites IEEE Robotics and Automation Letters 8(6), 3414–3421 (2023) https://doi.org/10.1109/LRA.2023.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Robotics and Automation Letters 8(6), 3414–3421 (2023) https://doi.org/10.1109/LRA.2023

Reference 33

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Observation f97bf7a3-1667-4274-9f0a-d82cb1fdde0e · outbound

This paper cites 2024 IEEE International Conference on Robotics and Automation (ICRA), 448–454 (2024) https://doi.org/10.1109/ ICRA57147.2024.10610758.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2024 IEEE International Conference on Robotics and Automation (ICRA), 448–454 (2024) https://doi.org/10.1109/ ICRA57147.2024.10610758

Reference 34

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Observation 42499ea0-eecc-4761-942f-816bc9c97770 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition, 11348–11357 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition, 11348–11357 (2021)

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:26.574345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07e5e4a5-080a-419b-85cd-d5a6f2012759 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 3075–3084 (2019).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 3075–3084 (2019)

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:26.287340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5502254-7ecb-4ee7-b218-e25b9f510bed · outbound

This paper cites 2022 26th international conference on pattern recognition (ICPR), 3699–3705 (2022).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2022 26th international conference on pattern recognition (ICPR), 3699–3705 (2022)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:26.110552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2602978-6a88-4f47-ab41-fab2e971354b · outbound

This paper cites TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:23.048764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67e750d2-ca50-4d39-ae40-d844777564eb · outbound

This paper cites Technologies 13(4), 162 (2025).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Technologies 13(4), 162 (2025)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.987339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ddee4e75-9588-41f1-809e-2efc4a59ebdf · outbound

This paper cites 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020., 886–891 (2020) https://doi.org/10.1109/ICARCV50220.2020.9305429.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020., 886–891 (2020) https://doi.org/10.1109/ICARCV50220.2020.9305429

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:49:20.766855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97c4f6ae-e08a-4047-8e78-904d1196ad1d · outbound

This paper cites 2021 International Joint Conference on Neural Networks (IJCNN), 1–8 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2021 International Joint Conference on Neural Networks (IJCNN), 1–8 (2021)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.855101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa334635-3a4e-49c9-9488-0cac598d1d5a · outbound

This paper cites IEEE Robotics and Automation Letters 4(2), 1470–1477 (2019).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Robotics and Automation Letters 4(2), 1470–1477 (2019)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.740667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93ae69ae-c635-4ae6-9fab-2b5f0a072c56 · outbound

This paper cites Computing in Civil Engineering 2021, 1–8 (2021) 25.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Computing in Civil Engineering 2021, 1–8 (2021) 25

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.661550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31e69e40-a08b-4a44-a2fc-dcb414cee57f · outbound

This paper cites Advances in neural information processing systems 30 (2017).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Advances in neural information processing systems 30 (2017)

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.525974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 804e63e0-73e0-45a7-8091-611f7988e957 · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition, 244–253 (2018).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Proceedings of the IEEE conference on computer vision and pattern recognition, 244–253 (2018)

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.390091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a73b9816-4e14-4b42-a5f3-a347e3b0e80f · outbound

This paper cites In: Computer Graphics Forum, vol.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity In: Computer Graphics Forum, vol

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.290036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ac658819-fe54-4725-86b6-9223c5229af2 · outbound

This paper cites Spherical Convolutional Neural Network for 3D Point Clouds.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Spherical Convolutional Neural Network for 3D Point Clouds

Reference 47

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:22.815298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff8a34f8-613e-4562-bb28-6e9e5e9bf1b3 · outbound

This paper cites HeLiOS: Heterogeneous LiDAR Place Recognition via Overlap-based Learning and Local Spherical Transformer.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity HeLiOS: Heterogeneous LiDAR Place Recognition via Overlap-based Learning and Local Spherical Transformer

Reference 48

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:49:22.661926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fceeab53-a130-4aae-90f2-62a1892be62e · outbound

This paper cites In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity In: 2020 IEEE International Conference on Robotics and Automation (ICRA), pp

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.156251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9676e32f-240f-4913-b927-9cbea2f35e28 · outbound

This paper cites In: ISARC.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity In: ISARC

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:25.043629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 17a63f4d-d819-48dd-85ed-b6b4df07a436 · outbound

This paper cites The International Journal of Robotics Research 36(1), 3–15 (2017).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity The International Journal of Robotics Research 36(1), 3–15 (2017)

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.920507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 498aef7c-fa3d-4616-afb2-203bcdbffeb3 · outbound

This paper cites IEEE Intelligent Transportation Systems Magazine 12(4), 23–40 (2020) https://doi.org/10.1109/MITS.2020.2990183.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Intelligent Transportation Systems Magazine 12(4), 23–40 (2020) https://doi.org/10.1109/MITS.2020.2990183

Reference 52

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T14:49:22.501382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68a23d71-cd53-4086-8178-ecbb3a39bef9 · outbound

This paper cites The International Journal of Robotics Research 35(9), 1023–1035 (2016).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity The International Journal of Robotics Research 35(9), 1023–1035 (2016)

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.819586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 387723ef-ac4a-47f6-b431-7c6c2d4f6d37 · outbound

This paper cites The international journal of robotics research 32(11), 1231–1237 (2013).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity The international journal of robotics research 32(11), 1231–1237 (2013)

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.634422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e21752f0-77fd-4106-bbb8-95318769db6c · outbound

This paper cites https://arvc.umh.es/db/databases/ 26.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity https://arvc.umh.es/db/databases/ 26

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.429732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18702dde-13ff-4dc0-ac16-4466ae3c3126 · outbound

This paper cites 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2084–2091 (2021).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2084–2091 (2021)

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.300318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 545cc04d-c7bf-4754-816d-10928fbeb17d · outbound

This paper cites Electronics 9(8), 1295 (2020).

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity Electronics 9(8), 1295 (2020)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:24.124746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 42c8e538-8df1-4725-9af8-121183bc8fdb · outbound

This paper cites IEEE Robotics and Automation Letters 5(4), 5534–5541 (2020) 27.

MinkUNeXt-SI: Improving point cloud-based place recognition including spherical coordinates and LiDAR intensity IEEE Robotics and Automation Letters 5(4), 5534–5541 (2020) 27

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:49:23.982272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers