1 citations · 1 across the 7 of their papers we have counts for
7 papers
SHARP: Spectrum-aware Highly-dynamic Adaptation for Resolution Promotion in Remote Sensing Synthesis
Bingxuan Zhao, Qing Zhou, Chuang Yang +2
Text-to-image synthesis for remote sensing (RS) lacks an accessible, high-performance generative foundation, as directly training diffusion models at large, high resolutions is com…
Text-Pass Filter: An Efficient Scene Text Detector
Chuang Yang, Haozhao Ma, Xu Han +2
To pursue an efficient text assembling process, existing methods detect texts via the shrink-mask expansion strategy. However, the shrinking operation loses the visual features of…
MMO-IG: Multi-Class and Multi-Scale Object Image Generation for Remote Sensing
Chuang Yang, Bingxuan Zhao, Qing Zhou +1
The rapid advancement of deep generative models (DGMs) has significantly advanced research in computer vision, providing a cost-effective alternative to acquiring vast quantities o…
Real-Time Text Detection with Similar Mask in Traffic, Industrial, and Natural Scenes
Xu Han, Junyu Gao, Chuang Yang +2
Texts on the intelligent transportation scene include mass information. Fully harnessing this information is one of the critical drivers for advancing intelligent transportation. U…
Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection
Xu Han, Junyu Gao, Chuang Yang +2
Due to the diversity of scene text in aspects such as font, color, shape, and size, accurately and efficiently detecting text is still a formidable challenge. Among the various det…
Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera
Xu Han, Junyu Gao, Chuang Yang +2
The irregular contour representation is one of the tough challenges in scene text detection. Although segmentation-based methods have achieved significant progress with the help of…
Traffic Sign Interpretation in Real Road Scene
Chuang Yang, Kai Zhuang, Mulin Chen +7
Most existing traffic sign-related works are dedicated to detecting and recognizing part of traffic signs individually, which fails to analyze the global semantic logic among signs…