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Xinyu Huang

4 papers hereh-index 7669 citations8 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.CV3
  • cs.DB1
same name
  • Xinyu Huang — 21 papers, h 9
  • Xinyu Huang — 13 papers, h 8
  • Xinyu Huang — 10 papers, h 9
  • Xinyu Huang — 10 papers, h 7
  • Xinyu Huang — 10 papers, h 15
  • Xinyu Huang — 6 papers, h 14

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 citedRecognize Anything: A Strong Image Tagging Model

21 citations · 37 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 3 cited

Open-Set Image Tagging with Multi-Grained Text Supervision

Xinyu Huang, Yi-Jie Huang, Youcai Zhang +6

In this paper, we introduce the Recognize Anything Plus Model (RAM++), an open-set image tagging model effectively leveraging multi-grained text supervision. Previous approaches (e…

cs.CV2023★ 21 cited

Recognize Anything: A Strong Image Tagging Model

Youcai Zhang, Xinyu Huang, Jinyu Ma +9

We present the Recognize Anything Model (RAM): a strong foundation model for image tagging. RAM makes a substantial step for large models in computer vision, demonstrating the zero…

cs.DB2023★ 2 cited

Modern Data Pricing Models: Taxonomy and Comprehensive Survey

Xiaoye Miao, Huanhuan Peng, Xinyu Huang +3

Data play an increasingly important role in smart data analytics, which facilitate many data-driven applications. The goal of various data markets aims to alleviate the issue of is…

cs.CV2023★ 11 cited

Tag2Text: Guiding Vision-Language Model via Image Tagging

Xinyu Huang, Youcai Zhang, Jinyu Ma +6

This paper presents Tag2Text, a vision language pre-training (VLP) framework, which introduces image tagging into vision-language models to guide the learning of visual-linguistic…

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