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Jinqiao Wang

7 papers hereh-index 5405 citations13 works total

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

author position
  • middle author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CL2
  • cs.CR1
same name
  • Jinqiao Wang — 29 papers, h 43
  • Jinqiao Wang — 22 papers, h 9
  • Jinqiao Wang — 17 papers, h 5
  • Jinqiao Wang — 16 papers, h 3
  • Jinqiao Wang — 7 papers, h 4
  • Jinqiao Wang — 4 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
20232025
most citedAnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

10 citations · 11 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2025

A Benchmark for Crime Surveillance Video Analysis with Large Models

Haoran Chen, Dong Yi, Moyan Cao +3

Anomaly analysis in surveillance videos is a crucial topic in computer vision. In recent years, multimodal large language models (MLLMs) have outperformed task-specific models in v…

cs.CV2024

Auto DragGAN: Editing the Generative Image Manifold in an Autoregressive Manner

Pengxiang Cai, Zhiwei Liu, Guibo Zhu +2

Pixel-level fine-grained image editing remains an open challenge. Previous works fail to achieve an ideal trade-off between control granularity and inference speed. They either fai…

cs.CV2024

BFRFormer: Transformer-based generator for Real-World Blind Face Restoration

Guojing Ge, Qi Song, Guibo Zhu +5

Blind face restoration is a challenging task due to the unknown and complex degradation. Although face prior-based methods and reference-based methods have recently demonstrated hi…

cs.CV2023★ 10 cited

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Zhaopeng Gu, Bingke Zhu, Guibo Zhu +3

Large Vision-Language Models (LVLMs) such as MiniGPT-4 and LLaVA have demonstrated the capability of understanding images and achieved remarkable performance in various visual task…

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