Bihan Wen

Orcid: 0000-0002-6874-6453

According to our database1, Bihan Wen authored at least 130 papers between 2014 and 2024.

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Bibliography

2024
Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Salient Object Detection Toward Single-Pixel Imaging.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Efficient Image Classification via Structured Low-Rank Matrix Factorization Regression.
IEEE Trans. Inf. Forensics Secur., 2024

Detection of Adversarial Attacks via Disentangling Natural Images and Perturbations.
IEEE Trans. Inf. Forensics Secur., 2024

Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation.
CoRR, 2024

2023
Efficient and Effective Nonconvex Low-Rank Subspace Clustering via SVT-Free Operators.
IEEE Trans. Circuits Syst. Video Technol., December, 2023

Low-Rankness Guided Group Sparse Representation for Image Restoration.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Two-Way Generation of High-Resolution EO and SAR Images via Dual Distortion-Adaptive GANs.
Remote. Sens., April, 2023

Reconciliation of statistical and spatial sparsity for robust visual classification.
Neurocomputing, April, 2023

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].
IEEE Signal Process. Mag., March, 2023

DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Learning to Solve Multiple-TSP With Time Window and Rejections via Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst., January, 2023

Purifying Low-Light Images via Near-Infrared Enlightened Image.
IEEE Trans. Multim., 2023

Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling on-the-Fly for Moving Object Detection.
IEEE Trans. Multim., 2023

Graph Neural Networks With Triple Attention for Few-Shot Learning.
IEEE Trans. Multim., 2023

Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition.
IEEE Trans. Inf. Forensics Secur., 2023

Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling.
IEEE Signal Process. Mag., 2023

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].
IEEE Signal Process. Mag., 2023

SinSR: Diffusion-Based Image Super-Resolution in a Single Step.
CoRR, 2023

Frequency Convergence of Complexon Shift Operators (Extended Version).
CoRR, 2023

Beyond Learned Metadata-based Raw Image Reconstruction.
CoRR, 2023

ShadowFormer: Global Context Helps Image Shadow Removal.
CoRR, 2023

Provenance of Training without Training Data: Towards Privacy-Preserving DNN Model Ownership Verification.
Proceedings of the ACM Web Conference 2023, 2023

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No Matter Small or Big Lip Motion: DeepFake Detection with Regularized Feature Learning on Semantic Information.
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

Removing Image Artifacts From Scratched Lens Protectors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhancing Low-Light Images Using Infrared Encoded Images.
Proceedings of the IEEE International Conference on Image Processing, 2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Frequency Guidance Matters in Few-Shot Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised Deep Digital Staining for Microscopic Cell Images via Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Benchmarking White Blood Cell Classification under Domain Shift.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Adversarially Robust Continual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Denoising Diffusion Models for Plug-and-Play Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Raw Image Reconstruction with Learned Compact Metadata.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

sRGB Real Noise Synthesizing with Neighboring Correlation-Aware Noise Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Deep-learning-based X-ray CT Slice Analysis for Layout Verification in Printed Circuit Boards.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

ShadowFormer: Global Context Helps Shadow Removal.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Hybrid Structural Sparsification Error Model for Image Restoration.
IEEE Trans. Neural Networks Learn. Syst., 2022

Variational Disentanglement for Domain Generalization.
Trans. Mach. Learn. Res., 2022

FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2022

Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration.
IEEE Trans. Image Process., 2022

A Unified Framework for Bidirectional Prototype Learning From Contaminated Faces Across Heterogeneous Domains.
IEEE Trans. Inf. Forensics Secur., 2022

Make Web3.0 Connected.
IEEE Trans. Dependable Secur. Comput., 2022

Nonconvex Structural Sparsity Residual Constraint for Image Restoration.
IEEE Trans. Cybern., 2022

Site Selection via Learning Graph Convolutional Neural Networks: A Case Study of Singapore.
Remote. Sens., 2022

Targeted Universal Adversarial Examples for Remote Sensing.
Remote. Sens., 2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.
CoRR, 2022

ABCDE: An Agent-Based Cognitive Development Environment.
CoRR, 2022

Enhancing Low-Light Images in Real World via Cross-Image Disentanglement.
CoRR, 2022

RE2L: A Real-World Dataset for Outdoor Low-Light Image Enhancement.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Attentive Graph Neural Networks for Few-Shot Learning.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2022

Feature Augmentation Learning for Few-Shot Palmprint Image Recognition With Unconstrained Acquisition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Parameter-Free Style Projection for Arbitrary Image Style Transfer.
Proceedings of the IEEE International Conference on Acoustics, 2022

DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors.
Proceedings of the Computer Vision - ECCV 2022, 2022

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Triply Complementary Priors for Image Restoration.
IEEE Trans. Image Process., 2021

Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models.
IEEE Trans. Image Process., 2021

VD-GAN: A Unified Framework for Joint Prototype and Representation Learning From Contaminated Single Sample per Person.
IEEE Trans. Inf. Forensics Secur., 2021

FINO: Flow-based Joint Image and Noise Model.
CoRR, 2021

Adversarial Purification through Representation Disentanglement.
CoRR, 2021

Disentangled Feature Representation for Few-shot Image Classification.
CoRR, 2021

PIP: Physical Interaction Prediction via Mental Imagery with Span Selection.
CoRR, 2021

Reconciliation of Statistical and Spatial Sparsity For Robust Image and Image-Set Classification.
CoRR, 2021

Systematic Analysis and Removal of Circular Artifacts for StyleGAN.
CoRR, 2021

Joint Dimensionality Reduction for Separable Embedding Estimation.
CoRR, 2021

ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Recent Advances in Adversarial Training for Adversarial Robustness.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Disentangling Prototype and Variation for Single Sample Face Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Low-Rank Regularized Joint Sparsity for Image Denoising.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Systematic Analysis of Circular Artifacts for Stylegan.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Labmat: Learned Feature-Domain Block Matching For Image Restoration.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Joint Anomaly Detection and Inpainting for Microscopy Images Via Deep Self-Supervised Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Multi-Scale Feature Guided Low-Light Image Enhancement.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

R3L: Connecting Deep Reinforcement Learning To Recurrent Neural Networks For Image Denoising Via Residual Recovery.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Image Restoration via Simultaneous Nonlocal Self-Similarity Priors.
IEEE Trans. Image Process., 2020

Image Restoration Using Joint Patch-Group-Based Sparse Representation.
IEEE Trans. Image Process., 2020

A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization.
IEEE Trans. Image Process., 2020

From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration.
IEEE Trans. Image Process., 2020

Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration.
IEEE Trans. Image Process., 2020

Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers.
IEEE Trans. Image Process., 2020

Connecting Image Denoising and High-Level Vision Tasks via Deep Learning.
IEEE Trans. Image Process., 2020

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks.
IEEE Signal Process. Mag., 2020

HyperService: Interoperability and Programmability Across Heterogeneous Blockchains.
IACR Cryptol. ePrint Arch., 2020

Feature Distillation With Guided Adversarial Contrastive Learning.
CoRR, 2020

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.
CoRR, 2020

A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems.
CoRR, 2020

Generating Person Images with Appearance-aware Pose Stylizer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Removing Backdoor-Based Watermarks in Neural Networks with Limited Data.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

The Power Of Triply Complementary Priors For Image Compressive Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2020

Opencc - an open Benchmark data set for Corpus Callosum Segmentation and Evaluation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Joint Statistical and Spatial Sparse Representation for Robust Image and Image-Set Classification.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Hybrid Structural Sparse Error Model for Image Deblocking.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising.
IEEE Trans. Image Process., 2019

Segmentation-Aware Image Denoising without Knowing True Segmentation.
CoRR, 2019

A Novel Framework for 3D-2D Vertebra Matching.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

Simultaneous Nonlocal Self-Similarity Prior for Image Denoising.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Comparative Study for the Nuclear Norms Minimization Methods.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Adaptive nonlocal and structured sparse signal modeling and applications
PhD thesis, 2018

The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling.
CoRR, 2018

Non-Local Recurrent Network for Image Restoration.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

When Smart Signal Processing Meets Smart Imaging.
Proceedings of the Smart Multimedia - First International Conference, 2018

Transim: Transfer Image Local Statistics Across EOTFS for HDR Image Applications.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Deepcasd: An End-to-End Approach for Multi-Spectral Image Super-Resolution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Joint Patch-Group Based Sparse Representation for Image Inpainting.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach.
CoRR, 2017

Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising.
Proceedings of the IEEE International Conference on Computer Vision, 2017

When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior.
IEEE Trans. Image Process., 2016

Revisiting copy-move forgery detection by considering realistic image with similar but genuine objects.
CoRR, 2016

Machine Learning Techniques and Applications For Ground-based Image Analysis.
CoRR, 2016

COVERAGE - A novel database for copy-move forgery detection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Learning flipping and rotation invariant sparsifying transforms.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Online Sparsifying Transform Learning - Part I: Algorithms.
IEEE J. Sel. Top. Signal Process., 2015

Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications.
Int. J. Comput. Vis., 2015

FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications.
CoRR, 2015

Video denoising by online 3D sparsifying transform learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Learning overcomplete sparsifying transforms with block cosparsity.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Online sparsifying transform learning for signal processing.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014


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