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researcher

Jun Xiao

8 papers hereh-index 4127 citations11 works total

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

author position
  • middle author6
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.GR2
same name
  • Jun Xiao — 36 papers, h 21
  • Jun Xiao — 28 papers, h 7
  • Jun Xiao — 18 papers, h 34
  • Jun Xiao — 15 papers, h 1
  • Jun Xiao — 14 papers, h 6
  • Jun Xiao — 11 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedHulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025★ 1 cited

Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding

Songtao Jiang, Yuan Wang, Sibo Song +22

Real-world clinical decision-making requires integrating heterogeneous data, including medical text, 2D images, 3D volumes, and videos, while existing AI systems fail to unify all…

cs.CV2025★ 1 cited

DentVLM: A Multimodal Vision-Language Model for Comprehensive Dental Diagnosis and Enhanced Clinical Practice

Zijie Meng, Jin Hao, Xiwei Dai +20

Diagnosing and managing oral diseases necessitate advanced visual interpretation across diverse imaging modalities and integrated information synthesis. While current AI models exc…

cs.GR2025

Is-NeRF: In-scattering Neural Radiance Field for Blurred Images

Nan Luo, Chenglin Ye, Jiaxu Li +5

Neural Radiance Fields (NeRF) has gained significant attention for its prominent implicit 3D representation and realistic novel view synthesis capabilities. Available works unexcep…

cs.CV2025

VGR: Visual Grounded Reasoning

Jiacong Wang, Zijian Kang, Haochen Wang +8

In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which inherently suffers from language bias…

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