RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation

Research article (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021) · cited 13× · AI/ML
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RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D-Tree Representation

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RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D-Tree Representation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation. Retrieved May 24, 2026, from https://4ort.xyz/entity/rpsrnet-end-to-end-trainable-rigid-point-set-registration-network-using-barnes-hut-2-sup-d-sup-tree-representation
MLA “RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rpsrnet-end-to-end-trainable-rigid-point-set-registration-network-using-barnes-hut-2-sup-d-sup-tree-representation.
BibTeX @misc{4ortxyz_rpsrnet-end-to-end-trainable-rigid-point-set-registration-network-using-barnes-hut-2-sup-d-sup-tree-representation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation}}, year = {2026}, url = {https://4ort.xyz/entity/rpsrnet-end-to-end-trainable-rigid-point-set-registration-network-using-barnes-hut-2-sup-d-sup-tree-representation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation — https://4ort.xyz/entity/rpsrnet-end-to-end-trainable-rigid-point-set-registration-network-using-barnes-hut-2-sup-d-sup-tree-representation (retrieved 2026-05-24)

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