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Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 20× · AI/ML
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Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble

Summary

Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble is a scholarly article[1].

Key Facts

  • Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble'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). Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble. Retrieved May 24, 2026, from https://4ort.xyz/entity/hi-lassie-high-fidelity-articulated-shape-and-skeleton-discovery-from-sparse-image-ensemble
MLA “Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hi-lassie-high-fidelity-articulated-shape-and-skeleton-discovery-from-sparse-image-ensemble.
BibTeX @misc{4ortxyz_hi-lassie-high-fidelity-articulated-shape-and-skeleton-discovery-from-sparse-image-ensemble_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble}}, year = {2026}, url = {https://4ort.xyz/entity/hi-lassie-high-fidelity-articulated-shape-and-skeleton-discovery-from-sparse-image-ensemble}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble — https://4ort.xyz/entity/hi-lassie-high-fidelity-articulated-shape-and-skeleton-discovery-from-sparse-image-ensemble (retrieved 2026-05-24)

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