Adjusting Dynamics of Hopfield Neural Network via Time-variant Stimulus

no code implementations • 15 Jan 2024 • Xuenan Peng, Chengqing Li, Yicheng Zeng, Chun-Lai Li

When combined with one SVS, four WMSs can lead to the formation of an eight-scroll or four-scroll attractor, while the integration of four WMSs and multiple SVSs can induce grid-multi-scroll attractors.

Recovering Sign Bits of DCT Coefficients in Digital Images as an Optimization Problem

1 code implementation • 2 Nov 2022 • Ruiyuan Lin, Sheng Liu, Jun Jiang, Shujun Li, Chengqing Li, C. -C. Jay Kuo

Recovering unknown, missing, damaged, distorted, or lost information in DCT coefficients is a common task in multiple applications of digital image processing, including image compression, selective image encryption, and image communication.

Image Compression SSIM

Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation

1 code implementation • 18 Jul 2022 • Hegui Zhu, Zhan Gao, Jiayi Wang, Yange Zhou, Chengqing Li

The comprehensive experiments on three fine-grained benchmark datasets for two few-shot tasks verify that FicNet has excellent performance compared to the state-of-the-art methods.

Classification Fine-Grained Image Classification

Multi-Channel Deep Networks for Block-Based Image Compressive Sensing

1 code implementation • 28 Aug 2019 • Siwang Zhou, Yan He, Yonghe Liu, Chengqing Li, Jianming Zhang

Specifically, with our multichannel structure, the image blocks with a variety of sampling rates can be reconstructed in a single model.

Blocking Compressive Sensing +2

Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography

1 code implementation • 6 Nov 2017 • Chengqing Li, Dongdong Lin, Jinhu Lü, Feng Hao

Using this as a typical counterexample, we summarize security defects in the design of the Ye-Huang algorithm.

Cryptography and Security 94A60