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09/04/2023
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
Existing Video Restoration (VR) methods always necessitate the individua...
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09/04/2023
CA2: Class-Agnostic Adaptive Feature Adaptation for One-class Classification
One-class classification (OCC), i.e., identifying whether an example bel...
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08/14/2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor
Online continual learning (CL) aims to learn new knowledge and consolida...
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06/30/2023
Hashing-Based Distributed Clustering for Massive High-Dimensional Data
Clustering analysis is of substantial significance for data mining. The ...
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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 ...
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05/18/2023
Unsupervised Pansharpening via Low-rank Diffusion Model
Pansharpening is a process of merging a highresolution panchromatic (PAN...
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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...
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05/12/2023
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening
Pan-sharpening aims to generate a high-resolution multispectral (HRMS) i...
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05/12/2023
T-former: An Efficient Transformer for Image Inpainting
Benefiting from powerful convolutional neural networks (CNNs), learning-...
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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 ...
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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...
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03/27/2023
Regularize implicit neural representation by itself
This paper proposes a regularizer called Implicit Neural Representation ...
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03/13/2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
Multi-modality image fusion aims to combine different modalities to prod...
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02/28/2023
Interactive Segmentation as Gaussian Process Classification
Click-based interactive segmentation (IS) aims to extract the target obj...
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02/04/2023
Guaranteed Tensor Recovery Fused Low-rankness and Smoothness
The tensor data recovery task has thus attracted much research attention...
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01/18/2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness
Robust loss minimization is an important strategy for handling robust le...
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01/15/2023
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
In this paper, we study the problem of embedding the high-dimensional sp...
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01/01/2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm Infants
Deploying reliable deep learning techniques in interdisciplinary applica...
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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, ...
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12/26/2022
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
During X-ray computed tomography (CT) scanning, metallic implants carryi...
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12/01/2022
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery
Since higher-order tensors are naturally suitable for representing multi...
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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...
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10/11/2022
Deep Fourier Up-Sampling
Existing convolutional neural networks widely adopt spatial down-/up-sam...
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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...
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09/21/2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
Although current deep learning-based methods have gained promising perfo...
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07/28/2022
Learning to Adapt Classifier for Imbalanced Semi-supervised Learning
Pseudo-labeling has proven to be a promising semi-supervised learning (S...
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05/16/2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Inspired by the great success of deep neural networks, learning-based me...
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02/16/2022
Diagnosing Batch Normalization in Class Incremental Learning
Extensive researches have applied deep neural networks (DNNs) in class i...
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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...
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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...
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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 ...
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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...
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12/31/2021
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship
Continual learning requires models to learn new tasks while maintaining ...
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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...
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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...
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12/04/2021
Label Hierarchy Transition: Modeling Class Hierarchies to Enhance Deep Classifiers
Hierarchical classification aims to sort the object into a hierarchy of ...
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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 ...
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08/21/2021
Unsupervised Local Discrimination for Medical Images
Contrastive representation learning is an effective unsupervised method ...
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07/30/2021
Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions
It has been shown that equivariant convolution is very helpful for many ...
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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...
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07/06/2021
Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks
Meta learning has attracted much attention recently in machine learning ...
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07/02/2021
Unsupervised Single Image Super-resolution Under Complex Noise
While the researches on single image super-resolution (SISR), especially...
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06/27/2021
Residual Moment Loss for Medical Image Segmentation
Location information is proven to benefit the deep learning models on ca...
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06/05/2021
A Deep Variational Bayesian Framework for Blind Image Deblurring
Blind image deblurring is an important yet very challenging problem in l...
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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...
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03/14/2021
Semi-Supervised Video Deraining with Dynamic Rain Generator
While deep learning (DL)-based video deraining methods have achieved sig...
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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...
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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...
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12/17/2020
Unsupervised Learning of Local Discriminative Representation for Medical Images
Local discriminative representation is needed in many medical image anal...
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09/02/2020