95 citations · 144 across the 12 of their papers we have counts for
12 papers
Deep Unfolding Network for Image Compressed Sensing by Content-adaptive Gradient Updating and Deformation-invariant Non-local Modeling
Wenxue Cui, Xiaopeng Fan, Jian Zhang +1
Inspired by certain optimization solvers, the deep unfolding network (DUN) has attracted much attention in recent years for image compressed sensing (CS). However, there still exis…
The style transformer with common knowledge optimization for image-text retrieval
Wenrui Li, Zhengyu Ma, Jinqiao Shi +1
Image-text retrieval which associates different modalities has drawn broad attention due to its excellent research value and broad real-world application. However, most of the exis…
Event-based Monocular Dense Depth Estimation with Recurrent Transformers
Xu Liu, Jianing Li, Xiaopeng Fan +1
Event cameras, offering high temporal resolutions and high dynamic ranges, have brought a new perspective to address common challenges (e.g., motion blur and low light) in monocula…
Task-Agnostic Learning to Accomplish New Tasks
Xianqi Zhang, Xingtao Wang, Xu Liu +3
Reinforcement Learning (RL) and Imitation Learning (IL) have made great progress in robotic decision-making in recent years. However, these methods show obvious deterioration for n…
Constellation Design for Deep Joint Source-Channel Coding
Mengyang Wang, Jiahui Li, Mengyao Ma +1
Deep learning-based joint source-channel coding (JSCC) has shown excellent performance in image and feature transmission. However, the output values of the JSCC encoder are continu…
Deep Joint Source-Channel Coding for Multi-Task Network
Mengyang Wang, Zhicong Zhang, Jiahui Li +2
Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not…
Tree-Structured Data Clustering-Driven Neural Network for Intra Prediction in Video Coding
Hengyu Man, Xiaopeng Fan, Ruiqin Xiong +1
As a crucial part of video compression, intra prediction utilizes local information of images to eliminate the redundancy in spatial domain. In both the High Efficiency Video Codin…
COLA-Net: Collaborative Attention Network for Image Restoration
Chong Mou, Jian Zhang, Xiaopeng Fan +2
Local and non-local attention-based methods have been well studied in various image restoration tasks while leading to promising performance. However, most of the existing methods…
SNR-adaptive deep joint source-channel coding for wireless image transmission
Mingze Ding, Jiahui Li, Mengyao Ma +1
Considering the problem of joint source-channel coding (JSCC) for multi-user transmission of images over noisy channels, an autoencoder-based novel deep joint source-channel coding…
NormalNet: Learning-based Normal Filtering for Mesh Denoising
Wenbo Zhao, Xianming Liu, Yongsen Zhao +2
Mesh denoising is a critical technology in geometry processing that aims to recover high-fidelity 3D mesh models of objects from their noise-corrupted versions. In this work, we pr…
A nonlinear transform based analog video transmission framework
Yongtao Liu, Xiaopeng Fan, Yang Wang +2
Soft-cast, a cross-layer design for wireless video transmission, is proposed to solve the drawbacks of digital video transmission: threshold transmission framework achieving the sa…
High Quality Image Interpolation via Local Autoregressive and Nonlocal 3-D Sparse Regularization
Xinwei Gao, Jian Zhang, Feng Jiang +3
In this paper, we propose a novel image interpolation algorithm, which is formulated via combining both the local autoregressive (AR) model and the nonlocal adaptive 3-D sparse mod…