ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes-Reference-Cited by-同舟云学术

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ScanEnts3D: Exploiting Phrase-to-3D-Object Correspondences for Improved Visio-Linguistic Models in 3D Scenes

Published:2024-01-03 Issue: Volume: Page:
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Abdelreheem Ahmed¹,Olszewski Kyle²,Lee Hsin-Ying²,Wonka Peter¹,Achlioptas Panos²

Affiliation:

1. King Abdullah University of Science and Technology (KAUST)

2. Snap Inc.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484480.pdf?arnumber=10484480

Reference76 articles.

1. Zero-Shot 3D Shape Correspondence

2. SATR: Zero-Shot Semantic Segmentation of 3D Shapes

3. 3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language

4. Learning to generate and differentiate 3D objects using geometry & language;Achlioptas,2021

5. ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual Attribute-Spatial Relation Alignment for 3D Visual Grounding;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

2. Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans;2024 International Conference on 3D Vision (3DV);2024-03-18

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