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Fan Wang

4 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.GR1
ORCID 0009-0009-9261-896X
same name
  • Fan Wang — 21 papers, h 19
  • Fan Wang — 18 papers, h 10
  • Fan Wang — 16 papers
  • Fan Wang — 11 papers, h 18
  • Fan Wang — 10 papers, h 5
  • Fan Wang — 9 papers

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

most citedText Data-Centric Image Captioning with Interactive Prompts

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2025

The 1st Solution for CARE Liver Task Challenge 2025: Contrast-Aware Semi-Supervised Segmentation with Domain Generalization and Test-Time Adaptation

Jincan Lou, Jingkun Chen, Haoquan Li +5

Accurate liver segmentation from contrast-enhanced MRI is essential for diagnosis, treatment planning, and disease monitoring. However, it remains challenging due to limited annota…

cs.GR2025

MoDA: Multi-modal Diffusion Architecture for Talking Head Generation

Xinyang Li, Gen Li, Zhihui Lin +6

Talking head generation with arbitrary identities and speech audio remains a crucial problem in the realm of the virtual metaverse. Recently, diffusion models have become a popular…

cs.CV2024★ 1 cited

Text Data-Centric Image Captioning with Interactive Prompts

Yiyu Wang, Hao Luo, Jungang Xu +2

Supervised image captioning approaches have made great progress, but it is challenging to collect high-quality human-annotated image-text data. Recently, large-scale vision and lan…

cs.CV2024

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer

Yabing Wang, Fan Wang, Jianfeng Dong +1

Cross-lingual cross-modal retrieval has garnered increasing attention recently, which aims to achieve the alignment between vision and target language (V-T) without using any annot…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.