Learning an interpretable end-to-end network for real-time acoustic beamforming

Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework

Bootstrap Segmentation Foundation Model under Distribution Shift via Object-Centric Learning

InPer: Whole-Process Domain Generalization via Causal Intervention and Perturbation

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement

Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification

AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification

InstantSplat: Unbounded Sparse-view Pose-free Gaussian Splatting in 40 Seconds

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration

Learning to sound imaging by a model-based interpretable network

Adaptive sparse estimation of nonlinear chirp signals using Laplace priors

Leveraging Foreground Collaboration and Augmentation for Industrial Anomaly Detection

High-Resolution Wideband DOA Estimation Based on Multi-Frequency Cyclic Rank-Minimization

Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection

DATASET DISTILLATION WITH CHANNEL EFFICIENT PROCESS

IMPLICIT FOREGROUND-GUIDED NETWORK FOR ANOMALY DETECTION AND LOCALIZATION

Cross-Modality Interaction Network for Pan-Sharpening

Graph-Based Dependency-Aware Non-Intrusive Load Monitoring

Infrared and Visible Image Fusion via Test-Time Training

AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection

DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening

High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection

Boosting Generalization Performance in Person Re-identification

A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification

Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization

Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced

AIVR-Net: Attribute-Based Invariant Visual Representation Learning for Vehicle Re-Identification

Source-Free Cross-Domain Fault Diagnosis of Rotating Machinery Using the Siamese Framework

Adaptive nonlinear group delay mode estimation

Domain-irrelevant Feature Learning for Generalizable Pan-sharpening

Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening

Distributed representation learning with skip-gram model for trained random forests

Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning

SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection

Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior

Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming

Exploring personalization via federated representation Learning on non-IID data

MASNet: A Robust Deep Marine Animal Segmentation Network

Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection

Unsupervised Anomaly Segmentation for?Brain Lesions Using Dual Semantic-Manifold Reconstruction

A Hybrid Framework Based on?Classifier Calibration for?Imbalanced Aerial Scene Recognition

Enhanced features in image manipulation detection

Self-Supervised Video-Based Action Recognition With Disturbances

Unpaired Speckle Extraction for SAR Despeckling

Interclass Similarity Transfer for Imbalanced Aerial Scene Classification

Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification

Adaptive Ship Detection From Optical to SAR Images

A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition

Hint-Dynamic Knowledge Distillation

Learning a Simple Low-light Image Enhancer from Paired Low-light Instances

Towards Better Generalization Using Synthetic Data: A Domain Adaptation Framework for T2 Mapping via Multiple Overlapping-Echo Acquisition

Welcome from the ASID'2023 Hosts

Topology Design for Robust IoT Data Gathering via Bayesian Networks

EFFECTIVE HRRP DATA AUGMENTATION BY CONTRASTIVE ADVERSARIAL TRAINING

HINT-DYNAMIC KNOWLEDGE DISTILLATION

Sparse optimization for nonlinear group delay mode estimation

Distributed Representation Learning for Trained Forests by Skip-Gram Model

Uncertainty Inspired Underwater Image Enhancement

Unsupervised Underwater Image Restoration: From a Homology Perspective

Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection

A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans

A Closer Look at Personalization in Federated Image Classification

AFSC: Adaptive Fourier Space Compression for Anomaly Detection

Dual Domain Multi-Task Model for Vehicle Re-Identification

Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification

Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis

Learning Rate Dropout

High-resolution source localization exploiting the sparsity of the beamforming map

Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement

Domain generalization on medical imaging classification using episodic training with task augmentation

Few-shot medical image segmentation using a global correlation network with discriminative embedding

Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis

ADAPTIVE VARIATIONAL NONLINEAR CHIRP MODE DECOMPOSITION

UNSUPERVISED AND UNTRAINED UNDERWATER IMAGE RESTORATION BASED ON PHYSICAL IMAGE FORMATION MODEL

A TWO-STAGE CONTRASTIVE LEARNING FRAMEWORK FOR IMBALANCED AERIAL SCENE RECOGNITION

A ROBUST OBJECT SEGMENTATION NETWORK FOR UNDERWATER SCENES

UNDERWATER IMAGE ENHANCEMENT VIA LEARNING WATER TYPE DESENSITIZED REPRESENTATIONS

Two-Level Consistency Metric for Infrared and Visible Image Fusion

Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior

A SELF-SUPERVISED METHOD FOR INFRARED AND VISIBLE IMAGE FUSION

A SIMPLE SIAMESE FRAMEWORK FOR VIBRATION SIGNAL REPRESENTATIONS

Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance

Uncertainty Inspired Underwater Image Enhancement

Knowledge Condensation Distillation

Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding

Enhanced Deep Blind Hyperspectral Image Fusion

Hard class rectification for domain adaptation

Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening

Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images

TRAR: Routing the Attention Spans in Transformer for Visual Question Answering

Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection

I(3)Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors

Noise2Grad: Extract Image Noise to Denoise

CONSISTENT POSTERIOR DISTRIBUTIONS UNDER VESSEL-MIXING: A REGULARIZATION FOR CROSS-DOMAIN RETINAL ARTERY/VEIN CLASSIFICATION

Recognition-Aware HRRP Generation With Generative Adversarial Network

Successive Graph Convolutional Network for Image De-raining

One-Shot HRRP Generation for Radar Target Recognition

A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal

A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension

Deep Multiscale Feedback Network for Hyperspectral Image Fusion

Generator Versus Segmentor: Pseudo-healthy Synthesis

Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction

Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation

Rain Streak Removal via Dual Graph Convolutional Network

K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering

An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection

Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification

Multiple-source domain adaptation with generative adversarial nets

Lightweight Pyramid Networks for Image Deraining

A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI

Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning

Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches

Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data

Underwater image enhancement using an edge-preserving filtering Retinex algorithm

HRRP Target Recognition With Deep Transfer Learning

A < sup > 2 </sup > Net: Adjacent Aggregation Networks for Image Raindrop Removal

Crowd Density Estimation Using Fusion of Multi-Layer Features

A dual-domain deep lattice network for rapid MRI reconstruction

Underwater image enhancement using an edge-preserving filtering Retinex algorithm (vol 17, pg 541, 2020)

Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network

Harmonizing transferability and discriminability for adapting object detectors

Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation

A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction

A divide-and-conquer approach to compressed sensing MRI

Region-of-interest undersampled MRI reconstruction: A deep convolutional neural network approach

A study of perceptual quality assessment for stereoscopic image retargeting

Divide-and-conquer framework for image restoration and enhancement

Compressed Sensing MRI with Joint Image-Level and Patch-Level Priors

A variational pan-sharpening with local gradient constraints

Progressive feature alignment for unsupervised domain adaptation

Look more than once: An accurate detector for text of arbitrary shapes

Two-stream Multi-focus Image Fusion Based on the Latent Decision Map

Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit

Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering

MRI reconstruction with an edge-preserving filtering prior

Fast quantitative susceptibility reconstruction via total field inversion with improved weighted L0 norm approximation

Camera Identification Based on Domain Knowledge-Driven Deep-Task Learning

Subspace-based non-blind deconvolution

Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network

Multi-task neural networks with spatial activation for retinal vessel segmentation and artery/vein classification

A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication

T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection

Pay attention to deep feature fusion in crowd density estimation

G-HAPNet: A Novel Structure for Single Image Super-Resolution

Single-shot T-2 mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network

Residual-guide network for single image deraining

Man-Made Object Recognition from Underwater Optical Images Using Deep Learning and Transfer Learning

A Deeply-Recursive Convolutional Network for Crowd Counting

Bindctnet: A Simple Binary Dct Network for Image Classification

Camera model identification with residual neural network

Compressed sensing MRI using total variation regularization with K-space decomposition

SEMANTIC EDGE DETECTION BASED ON DEEP METRIC LEARNING

TWO-STEP APPROACH FOR SINGLE UNDERWATER IMAGE ENHANCEMENT

Prominent edge detection with deep metric expression and multi-scale features

High efficient reconstruction of single-shot magnetic resonance T2 mapping through overlapping echo detachment and DenseNet

Weakly-supervised man-made object recognition in underwater optimal image through deep domain adaptation

Breast cancer histopathological image classification via deep active learning and confidence boosting

Menet: A metric expression network for salient object segmentation

A segmentation-aware deep fusion network for compressed sensing MRI

Label-efficient Breast Cancer Histopathological Image Classification

Age estimation from MR images via 3D convolutional neural network and densely connect

A deep ensemble network for compressed sensing MRI

Compressed sensing MRI using a recursive dilated network

PanNet: A Deep Network Architecture for Pan-Sharpening

Vehicle Type Recognition in Surveillance Images From Labeled Web-Nature Data Using Deep Transfer Learning

Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images

Single-Shot T-2 Mapping Through OverLapping-Echo Detachment (OLED) Planar Imaging

Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning

Clearing the skies: A deep network architecture for single-image rain removal

Speech enhancement based on nonparametric factor analysis

Image enhancement using divide-and-conquer strategy

Multiple-Instance feature extraction at the bag and instance levels using the maximum trace-difference criterion

A Simple Convolutional Transfer Neural Networks in Vision Tasks

Removing rain from single images via a deep detail network

A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation

Rapid reconstruction of quantitative susceptibility mapping via improved 0norm approximation

A fusion-based enhancing method for weakly illuminated images

Non-blind deconvolution with 1-norm of high-frequency fidelity

Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle

A fusion-based method for single backlit image enhancement

A novel framework method for non-blind deconvolution using subspace images priors

Saliency Detection With Spaces of Background-Based Distribution

Pan-sharpening with a hyper-laplacian penalty

Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model

Pan-sharpening with structural consistency and l(1/2) gradient prior

A weighted variational model for simultaneous reflectance and illumination estimation

A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation

Patch-based nonlocal dynamic MRI reconstruction with low-rank prior

Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT

Fast magnetic susceptibility reconstruction using L0 norm of gradient

A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means

Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy

Single image rain and snow removal via guided L0 smoothing filter

A harmonic means pooling strategy for structural similarity index measurement in image quality assessment

Single-trial ERPs denoising via collaborative filtering on ERPs images

Robust mixed noise removal with non-parametric Bayesian sparse outlier model

A fusion-based enhancing approach for single sandstorm image

Multiple-instance discriminant analysis

A NOVEL RETINEX BASED APPROACH FOR IMAGE ENHANCEMENT WITH ILLUMINATION ADJUSTMENT

Single-trial event-related potentials denoising based on collaborative filtering in transform domain

Single-trial event-related potentials classification via a discriminative dictionary learning scheme

Single-image-based rain and snow removal using multi-guided filter

A variational framework for single low light image enhancement using bright channel prior

Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning

Compressed sensing MRI with Bayesian dictionary learning

Moving vehicle detection of airborne video on SURF

A novel retinex algorithm based on alternating direction optimization

Image Sparse Representation Based on a Nonparametric Bayesian Model

Single image De-haze based on a new dark channel estimation method

A Modified Haze Removal Algorithm Using Dark Channel Prior

Bayesian Robust Principal Component Analysis

MRI Denoising Based on a Non-Parametric Bayesian Image Sparse Representation Method

A novel detail-preserving algorithm for removing salt-and-pepper noise

A halo-free and hue preserving algorithm for color image enhancement

An image retrieval algorithm based on biomimetic imaginal thinking

Color image enhancement with a human visual system based adaptive filter

A robust blind watermarking algorithm based on non-subsampled contourlet transform and human visual system

Image denoising based on adaptive over-complete sparse representation

Contourlet based MR image reconstruction via reweighted L1-minimization

A new method for multi-frame super-resolution reconstruction

A novel dictionary design algorithm for sparse representations

Novel bio-inspired algorithm for color image enhancement

SAR image despeckling using nonsubsampled Contourlet transform

Multi-modal medical image fusion based on wavelet transform

An image inpainting technique based on nonparametric kernel estimation

Approach to 2.5-D crosswell seismic transmission tomography

Digital watermarking based on non-sampled contourlet transform

Sub-pixel edge detection based on wavelet transform

Sub-pixel roof edge detection based on wavelet transform