b'Debin Zhao'

DeepAI AI Chat

Featured Co-authors

Yang Wang
218 publications
Jian Zhang
210 publications
Wangmeng Zuo
140 publications
Wen Gao
83 publications
Xiangyang Ji
72 publications
Mu Li
67 publications
Chen Zhao
61 publications
Xu Liu
61 publications
Jie Ren
57 publications
David Zhang
57 publications
Siwei Ma
51 publications

research

∙ 02/19/2023

Guided Depth Map Super-resolution: A Survey

Guided depth map super-resolution (GDSR), which aims to reconstruct a hi...

0 Zhiwei Zhong, et al. ∙

research

∙ 09/09/2022

A Memory-Related Multi-Task Method Based on Task-Agnostic Exploration

We pose a new question: Can agents learn how to combine actions from pre...

0 Xianqi Zhang, et al. ∙

research

∙ 08/03/2022

Fast Hierarchical Deep Unfolding Network for Image Compressed Sensing

By integrating certain optimization solvers with deep neural network, de...

0 Wenxue Cui, et al. ∙

research

∙ 12/13/2021

Deep Attentional Guided Image Filtering

Guided filter is a fundamental tool in computer vision and computer grap...

0 Zhiwei Zhong, et al. ∙

research

∙ 12/07/2021

Image Compressed Sensing Using Non-local Neural Network

Deep network-based image Compressed Sensing (CS) has attracted much atte...

6 Wenxue Cui, et al. ∙

research

∙ 06/10/2021

Data Clustering-Driven Neural Network for Intra Prediction

As a crucial part of video compression, intra prediction utilizes local ...

0 Hengyu Man, et al. ∙

research

∙ 04/04/2021

High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion

Depth map records distance between the viewpoint and objects in the scen...

0 Zhiwei Zhong, et al. ∙

research

∙ 01/06/2021

Multi-Stage Residual Hiding for Image-into-Audio Steganography

The widespread application of audio communication technologies has speed...

0 Wenxue Cui, et al. ∙

research

∙ 03/10/2019

NormalNet: Learning based Guided Normal Filtering for Mesh Denoising

Mesh denoising is a critical technology in geometry processing, which ai...

0 Wenbo Zhao, et al. ∙

research

∙ 08/17/2018

Convolutional Neural Networks based Intra Prediction for HEVC

Traditional intra prediction methods for HEVC rely on using the nearest ...

0 Wenxue Cui, et al. ∙

research

∙ 06/19/2018

Deep neural network based sparse measurement matrix for image compressed sensing

Gaussian random matrix (GRM) has been widely used to generate linear mea...

0 Wenxue Cui, et al. ∙

research

∙ 04/13/2018

An efficient deep convolutional laplacian pyramid architecture for CS reconstruction at low sampling ratios

The compressed sensing (CS) has been successfully applied to image compr...

0 Wenxue Cui, et al. ∙

research

∙ 03/15/2018

A nonlinear transform based analog video transmission framework

Soft-cast, a cross-layer design for wireless video transmission, is prop...

0 Yongtao Liu, et al. ∙

research

∙ 08/02/2017

An End-to-End Compression Framework Based on Convolutional Neural Networks

Deep learning, e.g., convolutional neural networks (CNNs), has achieved ...

0 Feng Jiang, et al. ∙

research

∙ 07/22/2017

Single Image Super-Resolution with Dilated Convolution based Multi-Scale Information Learning Inception Module

Traditional works have shown that patches in a natural image tend to red...

0 Wuzhen Shi, et al. ∙

research

∙ 07/22/2017

Deep Networks for Compressed Image Sensing

The compressed sensing (CS) theory has been successfully applied to imag...

0 Wuzhen Shi, et al. ∙

research

∙ 03/30/2017

Learning Convolutional Networks for Content-weighted Image Compression

Lossy image compression is generally formulated as a joint rate-distorti...

0 Mu Li, et al. ∙

research

∙ 07/07/2016

Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images

Given the prevalence of JPEG compressed images, optimizing image reconst...

0 Xianming Liu, et al. ∙

research

∙ 05/14/2014

Group-based Sparse Representation for Image Restoration

Traditional patch-based sparse representation modeling of natural images...

0 Jian Zhang, et al. ∙

research

∙ 05/11/2014

Image Restoration Using Joint Statistical Modeling in Space-Transform Domain

This paper presents a novel strategy for high-fidelity image restoration...

0 Jian Zhang, et al. ∙

research

∙ 04/30/2014

Image Compressive Sensing Recovery Using Adaptively Learned Sparsifying Basis via L0 Minimization

From many fewer acquired measurements than suggested by the Nyquist samp...

0 Jian Zhang, et al. ∙

research

∙ 04/29/2014

Structural Group Sparse Representation for Image Compressive Sensing Recovery

Compressive Sensing (CS) theory shows that a signal can be decoded from ...

0 Jian Zhang, et al. ∙

research

∙ 04/29/2014

Spatially Directional Predictive Coding for Block-based Compressive Sensing of Natural Images

A novel coding strategy for block-based compressive sens-ing named spati...

0 Jian Zhang, et al. ∙

research

∙ 12/25/2012

High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization

In this paper, we propose a novel image interpolation algorithm, which i...

0 Xinwei Gao, et al. ∙

research

∙ 08/18/2012

Image Super-Resolution via Dual-Dictionary Learning And Sparse Representation

Learning-based image super-resolution aims to reconstruct high-frequency...

0 Jian Zhang, et al. ∙

research

∙ 08/18/2012

Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization

Recently, total variation (TV) based minimization algorithms have achiev...

0 Jian Zhang, et al. ∙