activity
20192026
most citedSonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Visible Image Fusion

Guo Yurong, He Yufei, Li Yonghao +3

Controllable infrared-visible image fusion aims to integrate complementary thermal and structural information with flexible region-aware modulation, producing fused images that ada…

cs.CV2025

A Segmentation-driven Editing Method for Bolt Defect Augmentation and Detection

Yangjie Xiao, Ke Zhang, Jiacun Wang +6

Bolt defect detection is critical to ensure the safety of transmission lines. However, the scarcity of defect images and imbalanced data distributions significantly limit detection…

cs.SD2025★ 1 cited

SonicRAG : High Fidelity Sound Effects Synthesis Based on Retrival Augmented Generation

Yu-Ren Guo, Wen-Kai Tai

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing (NLP) and multimodal learning, with successful applications in text generation…

cs.CV2024

Transmission Line Defect Detection Based on UAV Patrol Images and Vision-language Pretraining

Ke Zhang, Zhaoye Zheng, Yurong Guo +3

Unmanned aerial vehicle (UAV) patrol inspection has emerged as a predominant approach in transmission line monitoring owing to its cost-effectiveness. Detecting defects in transmis…

cs.CV2019

Competing Ratio Loss for Discriminative Multi-class Image Classification

Ke Zhang, Yurong Guo, Xinsheng Wang +4

The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. Many image classification studies use dee…

cs.CV2019

Competing Ratio Loss for Discriminative Multi-class Image Classification

Ke Zhang, Xinsheng Wang, Yurong Guo +3

The development of deep convolutional neural network architecture is critical to the improvement of image classification task performance. A lot of studies of image classification…