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

7 papers

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.CL2025

MME-Industry: A Cross-Industry Multimodal Evaluation Benchmark

Dongyi Yi, Guibo Zhu, Chenglin Ding +3

With the rapid advancement of Multimodal Large Language Models (MLLMs), numerous evaluation benchmarks have emerged. However, comprehensive assessments of their performance across…

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.CL2023★ 1 cited

ChineseWebText: Large-scale High-quality Chinese Web Text Extracted with Effective Evaluation Model

Jianghao Chen, Pu Jian, Tengxiao Xi +7

During the development of large language models (LLMs), the scale and quality of the pre-training data play a crucial role in shaping LLMs' capabilities. To accelerate the research…

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…

cs.CR2023

FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection

Chensen Huang, Guibo Zhu, Guojing Ge +2

Binary code similarity detection (BCSD) has various applications, including but not limited to vulnerability detection, plagiarism detection, and malware detection. Previous resear…