167 citations · 553 across the 10 of their papers we have counts for
11 papers
Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretabil…
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Chong Mou, Youmin Xu, Jiechong Song +3
Video steganography is the art of unobtrusively concealing secret data in a cover video and then recovering the secret data through a decoding protocol at the receiver end. Althoug…
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Chong Mou, Jian Zhang
Compressive learning (CL) is an emerging framework that integrates signal acquisition via compressed sensing (CS) and machine learning for inference tasks directly on a small numbe…
Content-aware Scalable Deep Compressed Sensing
Bin Chen, Jian Zhang
To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling ra…
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong +2
Hyperspectral imaging is an essential imaging modality for a wide range of applications, especially in remote sensing, agriculture, and medicine. Inspired by existing hyperspectral…
Memory-Augmented Deep Unfolding Network for Compressive Sensing
Jiechong Song, Bin Chen, Jian Zhang
Mapping a truncated optimization method into a deep neural network, deep unfolding network (DUN) has attracted growing attention in compressive sensing (CS) due to its good interpr…
Dynamic Attentive Graph Learning for Image Restoration
Chong Mou, Jian Zhang, Zhuoyuan Wu
Non-local self-similarity in natural images has been verified to be an effective prior for image restoration. However, most existing deep non-local methods assign a fixed number of…
COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing
Di You, Jian Zhang, Jingfen Xie +2
Recent deep network-based compressive sensing (CS) methods have achieved great success. However, most of them regard different sampling matrices as different independent tasks and…
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing
Di You, Jingfen Xie, Jian Zhang
While deep neural networks have achieved impressive success in image compressive sensing (CS), most of them lack flexibility when dealing with multi-ratio tasks and multi-scene ima…
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing
Jian Zhang, Bernard Ghanem
With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categori…
Globally Variance-Constrained Sparse Representation and Its Application in Image Set Coding
Xiang Zhang, Jiarui Sun, Siwei Ma +4
Sparse representation leads to an efficient way to approximately recover a signal by the linear composition of a few bases from a learnt dictionary, based on which various successf…