Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training

Research article (Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023) · cited 50× · AI/ML

academia openalex:W4385768219

Press Enter · cited answer in seconds

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training

Summary

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training is a scholarly article^[1].

Key Facts

Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training's instance of is recorded as scholarly article^[2].

⭐ Popularity Graph

0/100 long tail

Quick Facts

Instance of scholarly article

🔗 Connections

Authored by 5

Longtian Qiu, Pheng Ann Heng, Renrui Zhang, Xianzhi Li, Ziyu Guo

← Author of 5

Longtian Qiu, Pheng Ann Heng, Renrui Zhang, Xianzhi Li, Ziyu Guo

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

[2] ↑ Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training — instance of (P31): scholarly article. wikidata.org.

Class ancestry

[1] ↑ Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA

4ort.xyz Knowledge Graph. (2026). Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training

MLA

“Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training.

BibTeX

@misc{4ortxyz_joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training}}, year = {2026}, url = {https://4ort.xyz/entity/joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training}, note = {Accessed: 2026-05-24}}

LLM prompt

According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training — https://4ort.xyz/entity/joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/joint-mae-2d-3d-joint-masked-autoencoders-for-3d-point-cloud-pre-training · Last refreshed: May 24, 2026