b'Deyu Meng'

research

∙ 09/04/2023

Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration

Existing Video Restoration (VR) methods always necessitate the individua...

0 Yuanshuo Cheng, et al. ∙

research

∙ 09/04/2023

CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification

One-class classification (OCC), i.e., identifying whether an example bel...

0 Zilong Zhang, et al. ∙

research

∙ 08/14/2023

CBA: Improving Online Continual Learning via Continual Bias Adaptor

Online continual learning (CL) aims to learn new knowledge and consolida...

0 Quanziang Wang, et al. ∙

research

∙ 06/30/2023

Hashing-Based Distributed Clustering for Massive High-Dimensional Data

Clustering analysis is of substantial significance for data mining. The ...

0 Yifeng Xiao, et al. ∙

research

∙ 06/16/2023

A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition

Conversational emotion recognition (CER) is an important research topic ...

0 Yuntao Shou, et al. ∙

research

∙ 05/18/2023

Unsupervised Pansharpening via Low-rank Diffusion Model

Pansharpening is a process of merging a highresolution panchromatic (PAN...

0 Xiangyu Rui, et al. ∙

research

∙ 05/13/2023

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

Meta learning recently has been heavily researched and helped advance th...

0 Jun Shu, et al. ∙

research

∙ 05/12/2023

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening

Pan-sharpening aims to generate a high-resolution multispectral (HRMS) i...

0 Gang Yang, et al. ∙

research

∙ 05/12/2023

T-former: An Efficient Transformer for Image Inpainting

Benefiting from powerful convolutional neural networks (CNNs), learning-...

0 Ye Deng, et al. ∙

research

∙ 04/04/2023

Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection

State-of-the-art 3D object detectors are usually trained on large-scale ...

0 Chuandong Liu, et al. ∙

research

∙ 03/29/2023

Random Weights Networks Work as Loss Prior Constraint for Image Restoration

In this paper, orthogonal to the existing data and model studies, we ins...

3 Man Zhou, et al. ∙

research

∙ 03/27/2023

Regularize implicit neural representation by itself

This paper proposes a regularizer called Implicit Neural Representation ...

0 Zhemin Li, et al. ∙

research

∙ 03/13/2023

DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Multi-modality image fusion aims to combine different modalities to prod...

0 Zixiang Zhao, et al. ∙

research

∙ 02/28/2023

Interactive Segmentation as Gaussian Process Classification

Click-based interactive segmentation (IS) aims to extract the target obj...

0 Minghao Zhou, et al. ∙

research

∙ 02/04/2023

Guaranteed Tensor Recovery Fused Low-rankness and Smoothness

The tensor data recovery task has thus attracted much research attention...

0 Hailin Wang, et al. ∙

research

∙ 01/18/2023

Improve Noise Tolerance of Robust Loss via Noise-Awareness

Robust loss minimization is an important strategy for handling robust le...

0 Kehui Ding, et al. ∙

research

∙ 01/15/2023

Deep Diversity-Enhanced Feature Representation of Hyperspectral Images

In this paper, we study the problem of embedding the high-dimensional sp...

0 Jinhui Hou, et al. ∙

research

∙ 01/01/2023

NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants

Deploying reliable deep learning techniques in interdisciplinary applica...

0 Chenyu Xue, et al. ∙

research

∙ 12/27/2022

S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning

Seismic data often undergoes severe noise due to environmental factors, ...

0 Zitai Xu, et al. ∙

research

∙ 12/26/2022

Orientation-Shared Convolution Representation for CT Metal Artifact Learning

During X-ray computed tomography (CT) scanning, metallic implants carryi...

0 Hong Wang, et al. ∙

research

∙ 12/01/2022

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery

Since higher-order tensors are naturally suitable for representing multi...

0 Yisi Luo, et al. ∙

research

∙ 11/03/2022

Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation

Mining structural priors in data is a widely recognized technique for hy...

0 Jiangjun Peng, et al. ∙

research

∙ 10/11/2022

Deep Fourier Up-Sampling

Existing convolutional neural networks widely adopt spatial down-/up-sam...

11 Man Zhou, et al. ∙

research

∙ 09/30/2022

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

Channel state information (CSI) plays a critical role in achieving the p...

0 Zhengyang Hu, et al. ∙

research

∙ 09/21/2022

KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution

Although current deep learning-based methods have gained promising perfo...

0 Jiahong Fu, et al. ∙

research

∙ 07/28/2022

Learning to Adapt Classifier for Imbalanced Semi-supervised Learning

Pseudo-labeling has proven to be a promising semi-supervised learning (S...

0 Renzhen Wang, et al. ∙

research

∙ 05/16/2022

Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction

Inspired by the great success of deep neural networks, learning-based me...

5 Hong Wang, et al. ∙

research

∙ 02/16/2022

Diagnosing Batch Normalization in Class Incremental Learning

Extensive researches have applied deep neural networks (DNNs) in class i...

0 Minghao Zhou, et al. ∙

research

∙ 02/12/2022

Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment

Motivated by their recent advances, deep learning techniques have been w...

0 Xinyi Liu, et al. ∙

research

∙ 02/11/2022

CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning

Modern deep neural networks can easily overfit to biased training data c...

15 Jun Shu, et al. ∙

research

∙ 01/29/2022

Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices

It is known that the decomposition in low-rank and sparse matrices (L+S ...

0 Jiangjun Peng, et al. ∙

research

∙ 01/03/2022

Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations

To quantify uncertainties of the inverse problems governed by partial di...

0 Junxiong Jia, et al. ∙

research

∙ 12/31/2021

Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship

Continual learning requires models to learn new tasks while maintaining ...

0 Quanziang Wang, et al. ∙

research

∙ 12/29/2021

An Efficient and Accurate Rough Set for Feature Selection, Classification and Knowledge Representation

This paper present a strong data mining method based on rough set, which...

0 Shuyin Xia, et al. ∙

research

∙ 12/23/2021

InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images

During the computed tomography (CT) imaging process, metallic implants w...

17 Hong Wang, et al. ∙

research

∙ 12/04/2021

Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers

Hierarchical classification aims to sort the object into a hierarchy of ...

0 Renzhen Wang, et al. ∙

research

∙ 09/29/2021

Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds

The infrared small-dim target detection is one of the key techniques in ...

0 Fangcen Liu, et al. ∙

research

∙ 08/21/2021

Unsupervised Local Discrimination for Medical Images

Contrastive representation learning is an effective unsupervised method ...

0 Huai Chen, et al. ∙

research

∙ 07/30/2021

Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions

It has been shown that equivariant convolution is very helpful for many ...

2 Qi Xie, et al. ∙

research

∙ 07/14/2021

RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining

As a common weather, rain streaks adversely degrade the image quality. H...

2 Hong Wang, et al. ∙

research

∙ 07/06/2021

Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks

Meta learning has attracted much attention recently in machine learning ...

0 Jun Shu, et al. ∙

research

∙ 07/02/2021

Unsupervised Single Image Super-resolution Under Complex Noise

While the researches on single image super-resolution (SISR), especially...

12 Zongsheng Yue, et al. ∙

research

∙ 06/27/2021

Residual Moment Loss for Medical Image Segmentation

Location information is proven to benefit the deep learning models on ca...

0 Quanziang Wang, et al. ∙

research

∙ 06/05/2021

A Deep Variational Bayesian Framework for Blind Image Deblurring

Blind image deblurring is an important yet very challenging problem in l...

0 Hui Wang, et al. ∙

research

∙ 05/30/2021

EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network

Recently, it has been demonstrated that the performance of a deep convol...

0 Hu Zhang, et al. ∙

research

∙ 03/14/2021

Semi-Supervised Video Deraining with Dynamic Rain Generator

While deep learning (DL)-based video deraining methods have achieved sig...

9 Zongsheng Yue, et al. ∙

research

∙ 02/19/2021

Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems

For solving Bayesian inverse problems governed by large-scale forward pr...

0 Junxiong Jia, et al. ∙

research

∙ 01/27/2021

Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond

Bi-Level Optimization (BLO) is originated from the area of economic game...

0 Risheng Liu, et al. ∙

research

∙ 12/17/2020

Unsupervised Learning of Local Discriminative Representation for Medical Images

Local discriminative representation is needed in many medical image anal...

0 Huai Chen, et al. ∙

research

∙ 09/02/2020

Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction

Current machine learning has made great progress on computer vision and ...

9 ZiYi Yang, et al. ∙

Deyu Meng

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