3 papers
cs.CV2025
JVLGS: Joint Vision-Language Gas Leak Segmentation
Xinlong Zhao, Qixiang Pang, Shan Du
Gas leaks pose severe risks to human health and industrial safety. However, accurate and timely monitoring of gas leaks remains a major challenge. Existing vision-based methods usi…
cs.CV2022
Real-World Image Super Resolution via Unsupervised Bi-directional Cycle Domain Transfer Learning based Generative Adversarial Network
Xiang Wang, Yimin Yang, Zhichang Guo +4
Deep Convolutional Neural Networks (DCNNs) have exhibited impressive performance on image super-resolution tasks. However, these deep learning-based super-resolution methods perfor…
cs.CV2022
Semantic Encoder Guided Generative Adversarial Face Ultra-Resolution Network
Xiang Wang, Yimin Yang, Qixiang Pang +3
Face super-resolution is a domain-specific image super-resolution, which aims to generate High-Resolution (HR) face images from their Low-Resolution (LR) counterparts. In this pape…