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researcher

Yingying Zhu

4 papers hereh-index 8324 citations15 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.AI1
same name
  • Yingying Zhu — 12 papers, h 33
  • Yingying Zhu — 7 papers, h 1
  • Yingying Zhu — 4 papers
  • Yingying Zhu — 4 papers, h 2
  • Yingying Zhu — 3 papers, h 1
  • Yingying Zhu — 2 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

activity
20232026
most citedEnhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CV2026

TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with <1 GB VRAM

Hengyi Xie, Chenfei Yao, Xianjin Wu +4

Vision-language-action (VLA) models commonly adopt an LLM-centric V→L→A pathway, where visual observations are projected into the representation space of a large language…

cs.CV2025

Generative Compositor for Few-Shot Visual Information Extraction

Zhibo Yang, Wei Hua, Sibo Song +4

Visual Information Extraction (VIE), aiming at extracting structured information from visually rich document images, plays a pivotal role in document processing. Considering variou…

cs.AI2024

Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning

Linger Deng, Linghao Zhu, Yuliang Liu +6

Large Multimodal Models (LMMs) face limitations in geometric reasoning due to insufficient Chain of Thought (CoT) image-text training data. While existing approaches leverage templ…

cs.CV2023★ 1 cited

Enhancing Scene Text Detectors with Realistic Text Image Synthesis Using Diffusion Models

Ling Fu, Zijie Wu, Yingying Zhu +2

Scene text detection techniques have garnered significant attention due to their wide-ranging applications. However, existing methods have a high demand for training data, and obta…

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