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Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds

Research article (2023 IEEE Radar Conference (RadarConf23), 2023) · cited 13× · AI/ML
academia openalex:W4381745385
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Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds

Summary

Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds is a scholarly article[1].

Key Facts

  • Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds'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). Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/point-transformer-based-human-activity-recognition-using-high-dimensional-radar-point-clouds
MLA “Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/point-transformer-based-human-activity-recognition-using-high-dimensional-radar-point-clouds.
BibTeX @misc{4ortxyz_point-transformer-based-human-activity-recognition-using-high-dimensional-radar-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds}}, year = {2026}, url = {https://4ort.xyz/entity/point-transformer-based-human-activity-recognition-using-high-dimensional-radar-point-clouds}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Point Transformer-Based Human Activity Recognition Using High-Dimensional Radar Point Clouds — https://4ort.xyz/entity/point-transformer-based-human-activity-recognition-using-high-dimensional-radar-point-clouds (retrieved 2026-05-24)

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