Search Results for author: Fangfang Zhou

Found 6 papers, 3 papers with code

High Dynamic Range Imaging with Context-aware Transformer

no code implementations10 Apr 2023 Fangfang Zhou, Dan Zhang, Zhenming Fu

In each Dual Transformer (DT), the global features are extracted by the window-based Transformer, while the local details are extracted using the channel attention mechanism with deformable CNNs.

Deblurring Vocal Bursts Intensity Prediction

Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer

no code implementations4 Apr 2023 Dan Zhang, Fangfang Zhou

In this paper, we propose a novel Denoise Transformer for real-world image denoising, which is mainly constructed with Context-aware Denoise Transformer (CADT) units and Secondary Noise Extractor (SNE) block.

Image Denoising SSIM

MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network

2 code implementations4 Apr 2023 Dan Zhang, Fangfang Zhou, Yuwen Jiang, Zhengming Fu

Our MM-BSN can be used to address the problem of large-noise denoising, which cannot be efficiently handled by other BSN methods.

Image Denoising

ASTF: Visual Abstractions of Time-Varying Patterns in Radio Signals

1 code implementation30 Sep 2022 Ying Zhao, Luhao Ge, Huixuan Xie, Genghuai Bai, Zhao Zhang, Qiang Wei, Yun Lin, Yuchao Liu, Fangfang Zhou

A time-frequency diagram is a commonly used visualization for observing the time-frequency distribution of radio signals and analyzing their time-varying patterns of communication states in radio monitoring and management.

Management Segmentation

Reverse-engineering Bar Charts Using Neural Networks

1 code implementation5 Sep 2020 Fangfang Zhou, Yong Zhao, Wenjiang Chen, Yijing Tan, Yaqi Xu, Yi Chen, Chao Liu, Ying Zhao

Reverse-engineering bar charts extracts textual and numeric information from the visual representations of bar charts to support application scenarios that require the underlying information.

Decoder object-detection +1

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