Work

3D Visual Question Answering via 2D-Enhanced Multi-Modal Fusion Framework

Year: 2025

Type: conference-paper

Source: International Conference on Computer Supported Cooperative Work in Design (CSCWD)

DOI: 10.1109/cscwd64889.2025.11033521

Authors: Sihan Guo, Xian-Ling Mao, Heyan Huang

Institution: Beijing Institute of Technology

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Award: G4879761439

OpenAlex ID: W4411551423

FWCI:

Cites: 10

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Related to: 10