◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Quan Deng

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedEnhanced Multimodal RAG-LLM for Accurate Visual Question Answering

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning

Fei Yu, Quan Deng, Shengeng Tang +2

Understanding 3D scenes in open-world settings poses fundamental challenges for vision and robotics, particularly due to the limitations of closed-vocabulary supervision and static…

cs.CV2025

Towards Comprehensive Interactive Change Understanding in Remote Sensing: A Large-scale Dataset and Dual-granularity Enhanced VLM

Junxiao Xue, Quan Deng, Xuecheng Wu +7

Remote sensing change understanding (RSCU) is essential for analyzing remote sensing images and understanding how human activities affect the environment. However, existing dataset…

eess.SP2025

Scene Understanding Enabled Semantic Communication with Open Channel Coding

Zhe Xiang, Fei Yu, Quan Deng +2

As communication systems transition from symbol transmission to conveying meaningful information, sixth-generation (6G) networks emphasize semantic communication. This approach pri…

cs.CV2024★ 2 cited

Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering

Junxiao Xue, Quan Deng, Fei Yu +3

Multimodal large language models (MLLMs), such as GPT-4o, Gemini, LLaVA, and Flamingo, have made significant progress in integrating visual and textual modalities, excelling in tas…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.