
A Deep Variational Bayesian Framework for Blind Image Deblurring
Blind image deblurring is an important yet very challenging problem in l...
read it

EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network
Recently, it has been demonstrated that the performance of a deep convol...
read it

SemiSupervised Video Deraining with Dynamic Rain Generator
While deep learning (DL)based video deraining methods have achieved sig...
read it

Stein variational gradient descent on infinitedimensional space and applications to statistical inverse problems
For solving Bayesian inverse problems governed by largescale forward pr...
read it

Investigating BiLevel Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
BiLevel Optimization (BLO) is originated from the area of economic game...
read it

Unsupervised Learning of Local Discriminative Representation for Medical Images
Local discriminative representation is needed in many medical image anal...
read it

SelectProtoNet: Learning to Select for FewShot Disease Subtype Prediction
Current machine learning has made great progress on computer vision and ...
read it

Variational Image Restoration Network
Deep neural networks (DNNs) have achieved significant success in image r...
read it

From Rain Removal to Rain Generation
Single image deraining is an important yet challenging issue due to the ...
read it

Meta Feature Modulator for Longtailed Recognition
Deep neural networks often degrade significantly when training data suff...
read it

Learning to Purify Noisy Labels via Meta Soft Label Corrector
Recent deep neural networks (DNNs) can easily overfit to biased training...
read it

MetaLRScheduleNet: Learned LR Schedules that Scale and Generalize
The learning rate (LR) is one of the most important hyperparameters in ...
read it

Dual Adversarial Network: Toward Realworld Noise Removal and Noise Generation
Realworld image noise removal is a longstanding yet very challenging t...
read it

CrossAttention in Coupled Unmixing Nets for Unsupervised Hyperspectral SuperResolution
The recent advancement of deep learning techniques has made great progre...
read it

Meta Transition Adaptation for Robust Deep Learning with Noisy Labels
To discover intrinsic interclass transition probabilities underlying da...
read it

Structural Residual Learning for Single Image Rain Removal
To alleviate the adverse effect of rain streaks in image processing task...
read it

A Modeldriven Deep Neural Network for Single Image Rain Removal
Deep learning (DL) methods have achieved stateoftheart performance in...
read it

Ball kmeans
This paper presents a novel accelerated exact kmeans algorithm called t...
read it

LTNet: Label Transfer by Learning Reversible Voxelwise Correspondence for Oneshot Medical Image Segmentation
We introduce a oneshot segmentation method to alleviate the burden of m...
read it

Learning Adaptive Loss for Robust Learning with Noisy Labels
Robust loss minimization is an important strategy for handling robust le...
read it

A Survey on Rain Removal from Video and Single Image
Rain streaks might severely degenerate the performance of video/image pr...
read it

Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding
Video rain/snow removal from surveillance videos is an important task in...
read it

Variational Denoising Network: Toward Blind Noise Modeling and Removal
Blind image denoising is an important yet very challenging problem in co...
read it

Variational Bayes' method for functions with applications to some inverse problems
Bayesian approach as a useful tool for quantifying uncertainties has bee...
read it

Push the Student to Learn Right: Progressive Gradient Correcting by Metalearner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
read it

Tug the Student to Learn Right: Progressive Gradient Correcting by Metalearner on Corrupted Labels
While deep networks have strong fitting capability to complex input patt...
read it

Progressive Image Deraining Networks: A Better and Simpler Baseline
Along with the deraining performance improvement of deep networks, their...
read it

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
Hyperspectral imaging can help better understand the characteristics of ...
read it

Model Inconsistent but Correlated Noise: Multiview Subspace Learning with Regularized Mixture of Gaussians
Multiview subspace learning (MSL) aims to find a lowdimensional subspa...
read it

Enhanced 3DTV Regularization and Its Applications on Hyperspectral Image Denoising and Compressed Sensing
The 3D total variation (3DTV) is a powerful regularization term, which ...
read it

Discovering Influential Factors in Variational Autoencoder
In the field of machine learning, it is still a critical issue to identi...
read it

Small Sample Learning in Big Data Era
As a promising area in artificial intelligence, a new learning paradigm,...
read it

Unsupervised/Semisupervised Deep Learning for Lowdose CT Enhancement
Recently, deep learning(DL) methods have been proposed for the lowdose ...
read it

Semisupervised CNN for Single Image Rain Removal
Single image rain removal is a typical inverse problem in computer visio...
read it

Simplex Representation for Subspace Clustering
Spectral clustering based methods have achieved leading performance on s...
read it

Discriminative Feature Learning with Foreground Attention for Person ReIdentification
The performance of person reidentification (ReID) seriously depends on...
read it

Understanding SelfPaced Learning under Concave Conjugacy Theory
By simulating the easytohard learning manners of humans/animals, the l...
read it

PMGANs: Discriminative Representation Learning for Action Recognition Using Partialmodalities
Data of different modalities generally convey complimentary but heteroge...
read it

DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
In realworld crowd counting applications, the crowd densities vary grea...
read it

Deep SelfPaced Learning for Person ReIdentification
Person reidentification (ReID) usually suffers from noisy samples with...
read it

Hyperspectral Image Restoration via Total Variation Regularized Lowrank Tensor Decomposition
Hyperspectral images (HSIs) are often corrupted by a mixture of several ...
read it

Fewshot Object Detection
In this paper, we study object detection using a large pool of unlabeled...
read it

SPLBoost: An Improved Robust Boosting Algorithm Based on Selfpaced Learning
It is known that Boosting can be interpreted as a gradient descent techn...
read it

Robust Online Matrix Factorization for Dynamic Background Subtraction
We propose an effective online background subtraction method, which can ...
read it

A General Model for Robust Tensor Factorization with Unknown Noise
Because of the limitations of matrix factorization, such as losing spati...
read it

On Convergence Property of Implicit Selfpaced Objective
Selfpaced learning (SPL) is a new methodology that simulates the learni...
read it

Bridging Saliency Detection to Weakly Supervised Object Detection Based on Selfpaced Curriculum Learning
Weaklysupervised object detection (WOD) is a challenging problems in co...
read it

Denoising Hyperspectral Image with Noni.i.d. Noise Structure
Hyperspectral image (HSI) denoising has been attracting much research at...
read it

Active SelfPaced Learning for CostEffective and Progressive Face Identification
This paper aims to develop a novel costeffective framework for face ide...
read it

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Discriminative model learning for image denoising has been recently attr...
read it