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HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 19× · AI/ML
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HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion

Summary

HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion is a scholarly article[1].

Key Facts

  • HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/hypliloc-towards-effective-lidar-pose-regression-with-hyperbolic-fusion
MLA “HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hypliloc-towards-effective-lidar-pose-regression-with-hyperbolic-fusion.
BibTeX @misc{4ortxyz_hypliloc-towards-effective-lidar-pose-regression-with-hyperbolic-fusion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion}}, year = {2026}, url = {https://4ort.xyz/entity/hypliloc-towards-effective-lidar-pose-regression-with-hyperbolic-fusion}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion — https://4ort.xyz/entity/hypliloc-towards-effective-lidar-pose-regression-with-hyperbolic-fusion (retrieved 2026-05-24)

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