4 citations · 5 across the 6 of their papers we have counts for
6 papers
Text-Aided Multi-Modal Panoptic Symbol Spotting for CAD Floor Plan Drawings
Yan Gong, Bohao Li, Bowen Du +1
Computer-Aided Design (CAD) floor plan drawings contain both graphical primitives and textual annotations, which provide complementary geometric and semantic cues for intelligent d…
Text-Enhanced Panoptic Symbol Spotting in CAD Drawings
Xianlin Liu, Yan Gong, Bohao Li +4
With the widespread adoption of Computer-Aided Design(CAD) drawings in engineering, architecture, and industrial design, the ability to accurately interpret and analyze these drawi…
Neural-based Cross-modal Search and Retrieval of Artwork
Yan Gong, Georgina Cosma, Axel Finke
Creating an intelligent search and retrieval system for artwork images, particularly paintings, is crucial for documenting cultural heritage, fostering wider public engagement, and…
Boon: A Neural Search Engine for Cross-Modal Information Retrieval
Yan Gong, Georgina Cosma
Visual-Semantic Embedding (VSE) networks can help search engines better understand the meaning behind visual content and associate it with relevant textual information, leading to…
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-Modal Information Retrieval
Yan Gong, Georgina Cosma, Axel Finke
The relations expressed in user queries are vital for cross-modal information retrieval. Relation-focused cross-modal retrieval aims to retrieve information that corresponds to the…
Multi-modal Fusion Technology based on Vehicle Information: A Survey
Yan Gong, Jianli Lu, Jiayi Wu +1
Multi-modal fusion is a basic task of autonomous driving system perception, which has attracted many scholars' interest in recent years. The current multi-modal fusion methods main…