8 citations · 8 across the 5 of their papers we have counts for
5 papers
FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion
Tao Zhoua, Yunlong Liu, Qinghui Chen +6
Infrared and visible image fusion aims to generate a composite image that retains significant target information and preserves detailed textures, integrating two heterogeneous moda…
Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines
Zekai Zhang, Jinglin Zhang, Qinghui Chen +8
Large-scale Visual-Language Models (LVLMs) have achieved remarkable success in natural visual tasks, yet their application to industrial defect detection remains challenging due to…
Distilled Large Language Model-Driven Dynamic Sparse Expert Activation Mechanism
Qinghui Chen, Zekai Zhang, Zaigui Zhang +5
High inter-class similarity, extreme scale variation, and limited computational budgets hinder reliable visual recognition across diverse real-world data. Existing vision-centric a…
ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning
Kai Zhang, Zekai Zhang, Xihe Sun +6
Automatic vision inspection holds significant importance in industry inspection. While multimodal large language models (MLLMs) exhibit strong language understanding capabilities a…
ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu +4
Adapting the Diffusion Probabilistic Model (DPM) for direct image super-resolution is wasteful, given that a simple Convolutional Neural Network (CNN) can recover the main low-freq…