De-yu Meng
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Engineering Computer Science
De-yu Meng's Degrees
- PhD Electrical Engineering Stanford University
- Masters Electrical Engineering Stanford University
- Bachelors Electrical Engineering Tsinghua University
Why Is De-yu Meng Influential?
(Suggest an Edit or Addition)De-yu Meng's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (2016) (4804)
- Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision (2016) (545)
- Infrared Patch-Image Model for Small Target Detection in a Single Image (2013) (475)
- Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (2019) (463)
- Co-Saliency Detection via a Self-Paced Multiple-Instance Learning Framework (2017) (441)
- Progressive Image Deraining Networks: A Better and Simpler Baseline (2019) (411)
- Self-Paced Curriculum Learning (2015) (402)
- Self-Paced Learning with Diversity (2014) (310)
- DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation (2017) (306)
- Convolutional Sparse Coding for Image Super-Resolution (2015) (302)
- Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising (2014) (274)
- Easy Samples First: Self-paced Reranking for Zero-Example Multimedia Search (2014) (272)
- A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding (2013) (271)
- Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition (2017) (227)
- Semi-Supervised Transfer Learning for Image Rain Removal (2018) (213)
- Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017) (212)
- Robust Principal Component Analysis with Complex Noise (2014) (206)
- Hyperspectral Image Classification With Markov Random Fields and a Convolutional Neural Network (2017) (203)
- Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization (2016) (194)
- Robust Matrix Factorization with Unknown Noise (2013) (193)
- Variational Denoising Network: Toward Blind Noise Modeling and Removal (2019) (178)
- Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery (2018) (173)
- A Model-Driven Deep Neural Network for Single Image Rain Removal (2020) (153)
- Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation (2017) (148)
- Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net (2019) (142)
- Improve robustness of sparse PCA by L1-norm maximization (2012) (136)
- Robust Online Matrix Factorization for Dynamic Background Subtraction (2017) (135)
- Total Variation Regularized Tensor RPCA for Background Subtraction From Compressive Measurements (2015) (134)
- Active Self-Paced Learning for Cost-Effective and Progressive Face Identification (2017) (131)
- Few-Example Object Detection with Model Communication (2019) (130)
- Self-Paced Learning for Matrix Factorization (2015) (129)
- Video Rain Streak Removal by Multiscale Convolutional Sparse Coding (2018) (129)
- Hyperspectral Image Classification With Convolutional Neural Network and Active Learning (2020) (124)
- Denoising Hyperspectral Image With Non-i.i.d. Noise Structure (2017) (121)
- Infrared small-dim target detection based on Markov random field guided noise modeling (2018) (120)
- Leveraging Prior-Knowledge for Weakly Supervised Object Detection Under a Collaborative Self-Paced Curriculum Learning Framework (2018) (118)
- Event Oriented Dictionary Learning for Complex Event Detection (2015) (115)
- A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection (2015) (114)
- Deterministic and probabilistic wind power forecasting using a variational Bayesian-based adaptive robust multi-kernel regression model (2017) (107)
- Should We Encode Rain Streaks in Video as Deterministic or Stochastic? (2017) (104)
- Self-Paced Co-training (2017) (103)
- A Kernel Classification Framework for Metric Learning (2013) (99)
- Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (2020) (92)
- Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond (2021) (90)
- $L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method (2015) (89)
- Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing (2019) (87)
- Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification (2017) (86)
- Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning (2016) (78)
- Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions (2016) (76)
- A theoretical understanding of self-paced learning (2017) (76)
- Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine (2009) (75)
- NTIRE 2019 Challenge on Real Image Denoising: Methods and Results (2019) (75)
- What Objective Does Self-paced Learning Indeed Optimize? (2015) (75)
- Fast and Accurate Content-based Semantic Search in 100M Internet Videos (2015) (74)
- Low-Rank Matrix Factorization under General Mixture Noise Distributions (2015) (72)
- A Cyclic Weighted Median Method for L1 Low-Rank Matrix Factorization with Missing Entries (2013) (72)
- Self-Paced Boost Learning for Classification (2016) (63)
- Bridging the Ultimate Semantic Gap: A Semantic Search Engine for Internet Videos (2015) (61)
- A Novel Approach to Large-Scale Dynamically Weighted Directed Network Representation (2021) (60)
- Deep self-paced learning for person re-identification (2017) (59)
- MHF-Net: An Interpretable Deep Network for Multispectral and Hyperspectral Image Fusion (2020) (59)
- Small Sample Learning in Big Data Era (2018) (58)
- Learning to Detect Concepts from Webly-Labeled Video Data (2016) (56)
- Compressive Sensing of Hyperspectral Images via Joint Tensor Tucker Decomposition and Weighted Total Variation Regularization (2017) (55)
- InfAR dataset: Infrared action recognition at different times (2016) (53)
- Discriminative Feature Learning With Foreground Attention for Person Re-Identification (2018) (51)
- FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test (2014) (51)
- EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network (2021) (49)
- Survey on rain removal from videos or a single image (2019) (48)
- A Novel Sparsity Measure for Tensor Recovery (2015) (47)
- Enhanced 3DTV Regularization and Its Applications on HSI Denoising and Compressed Sensing (2020) (47)
- TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network (2020) (45)
- Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising (2021) (44)
- Single Image Deraining Using Bilateral Recurrent Network (2020) (43)
- Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation (2020) (43)
- SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos (2017) (40)
- The Solution Path Algorithm for Identity-Aware Multi-object Tracking (2016) (40)
- EPSANet: An Efficient Pyramid Split Attention Block on Convolutional Neural Network (2021) (39)
- Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism (2017) (39)
- Spatial and Temporal Image Fusion via Regularized Spatial Unmixing (2015) (38)
- Decomposition-Based Evolutionary Multiobjective Optimization to Self-Paced Learning (2019) (37)
- Detail-Preserving and Content-Aware Variational Multi-View Stereo Reconstruction (2015) (36)
- Few-shot Object Detection (2017) (36)
- Sparse recovery: from vectors to tensors (2018) (35)
- A Dual-Network Progressive Approach to Weakly Supervised Object Detection (2017) (35)
- Robust registration of partially overlapping point sets via genetic algorithm with growth operator (2014) (34)
- A Generalized Model for Robust Tensor Factorization With Noise Modeling by Mixture of Gaussians (2018) (33)
- Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution (2020) (32)
- Informedia@TrecVID 2014: MED and MER (2014) (32)
- LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation (2020) (31)
- Scaled Simplex Representation for Subspace Clustering (2018) (30)
- From Rain Generation to Rain Removal (2020) (29)
- Self-paced Multi-view Co-training (2020) (29)
- Distance Metric Learning via Iterated Support Vector Machines (2017) (29)
- Robust Tensor Factorization with Unknown Noise (2016) (28)
- Multi-Objective Self-Paced Learning (2016) (28)
- Weakly Supervised Lesion Detection From Fundus Images (2019) (26)
- Semi-Supervised Video Deraining with Dynamical Rain Generator (2021) (25)
- Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization (2017) (24)
- An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial–Temporal Total Variation Regularization (2019) (24)
- Iterative quality enhancement via residual-artifact learning networks for low-dose CT (2018) (24)
- Complex Event Detection via Event Oriented Dictionary Learning (2015) (23)
- Learning to Purify Noisy Labels via Meta Soft Label Corrector (2020) (22)
- A new quality assessment criterion for nonlinear dimensionality reduction (2011) (22)
- Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing (2021) (21)
- Nonlinear Dimensionality Reduction of Data Lying on the Multicluster Manifold (2008) (21)
- Unsupervised Video Adaptation for Parsing Human Motion (2014) (20)
- Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field (2019) (20)
- Learning Adaptive Loss for Robust Learning with Noisy Labels (2020) (19)
- On Convergence Property of Implicit Self-paced Objective (2017) (19)
- Momentum Batch Normalization for Deep Learning with Small Batch Size (2020) (19)
- Meta Transition Adaptation for Robust Deep Learning with Noisy Labels (2020) (19)
- Improving geodesic distance estimation based on locally linear assumption (2008) (18)
- PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities (2018) (18)
- Robust subspace clustering via penalized mixture of Gaussians (2018) (18)
- Enhancing performance of the backpropagation algorithm via sparse response regularization (2015) (17)
- Spectral-Fidelity Convolutional Neural Networks for Hyperspectral Pansharpening (2020) (17)
- SPLBoost: An Improved Robust Boosting Algorithm Based on Self-Paced Learning (2017) (17)
- A kernel-based sparsity preserving method for semi-supervised classification (2014) (16)
- Single image rain streaks removal: a review and an exploration (2020) (16)
- Tensor RPCA by Bayesian CP Factorization with Complex Noise (2017) (16)
- Interactive Surveillance Event Detection through Mid-level Discriminative Representation (2014) (16)
- Towards Efficient Learning of Optimal Spatial Bag-of-Words Representations (2014) (16)
- Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing (2020) (16)
- Online Rain/Snow Removal From Surveillance Videos (2021) (15)
- Structural Residual Learning for Single Image Rain Removal (2020) (15)
- Robust low-rank tensor factorization by cyclic weighted median (2015) (15)
- Robust Low-Tubal-Rank Tensor Recovery From Binary Measurements (2021) (15)
- TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation (2020) (14)
- Instance Annotation via Optimal BoW for Weakly Supervised Object Localization (2017) (13)
- Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise (2020) (13)
- Two-Stream Contextualized CNN for Fine-Grained Image Classification (2016) (13)
- A co-training approach to the classification of local climate zones with multi-source data (2017) (13)
- Infrared Small-Dim Target Detection with Transformer under Complex Backgrounds (2021) (13)
- Target attack on biomedical image segmentation model based on multi-scale gradients (2021) (12)
- On the Optimal Solution of Weighted Nuclear Norm Minimization (2014) (12)
- Why curriculum learning & self-paced learning work in big/noisy data: A theoretical perspective (2015) (12)
- Transitive Distance Clustering with K-Means Duality (2014) (12)
- Semi-supervised learned sinogram restoration network for low-dose CT image reconstruction (2020) (11)
- Rectifying Supporting Regions With Mixed and Active Supervision for Rib Fracture Recognition (2020) (11)
- Remote Sensing Image Denoising via Low-Rank Tensor Approximation and Robust Noise Modeling (2020) (11)
- Pairwise learning for medical image segmentation (2020) (11)
- Hyperspectral Image Restoration under Complex Multi-Band Noises (2018) (11)
- Robust sparse principal component analysis (2014) (11)
- Incremental Alignment Manifold Learning (2011) (11)
- Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery (2017) (10)
- Robust Semi-Supervised Classification for Noisy Labels Based on Self-Paced Learning (2016) (10)
- A dynamic CNN pruning method based on matrix similarity (2020) (10)
- Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing (2018) (10)
- Some New Trends of Deep Learning Research (2019) (10)
- Leveraging Multi-modal Prior Knowledge for Large-scale Concept Learning in Noisy Web Data (2017) (10)
- A novel learning-based frame pooling method for event detection (2016) (10)
- A block coordinate descent approach for sparse principal component analysis (2015) (9)
- Local Patch Network With Global Attention for Infrared Small Target Detection (2021) (9)
- Uncertainty Guided Multi-Scale Attention Network for Raindrop Removal From a Single Image (2021) (9)
- A Novel Group-Sparsity-Optimization-Based Feature Selection Model for Complex Interaction Recognition (2014) (9)
- Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism (2020) (8)
- RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining (2021) (8)
- Variational Bayes' method for functions with applications to some inverse problems (2019) (8)
- Semi-Active Convolutional Neural Networks for Hyperspectral Image Classification (2022) (8)
- Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (2021) (8)
- Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise (2021) (8)
- Effective Snapshot Compressive-spectral Imaging via Deep Denoising and Total Variation Priors (2021) (8)
- Learning dictionary from signals under global sparsity constraint (2013) (8)
- Multi-view stereo via depth map fusion: A coordinate decent optimization method (2016) (8)
- Semi-supervised learning through adaptive Laplacian graph trimming (2017) (8)
- Passage method for nonlinear dimensionality reduction of data on multi-cluster manifolds (2013) (7)
- Understanding Self-Paced Learning under Concave Conjugacy Theory (2018) (7)
- Meta Feature Modulator for Long-tailed Recognition (2020) (7)
- Selective generative adversarial network for raindrop removal from a single image (2020) (7)
- A New Approach for Classification: Visual Simulation Point of View (2005) (7)
- Infrared and Visible Cross-Modal Image Retrieval Through Shared Features (2021) (7)
- A New Dataset and Evaluation for Infrared Action Recognition (2015) (7)
- Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network (2019) (7)
- Full-Spectrum-Knowledge-Aware Tensor Model for Energy-Resolved CT Iterative Reconstruction (2020) (7)
- Infrared Action Detection in the Dark via Cross-Stream Attention Mechanism (2021) (7)
- Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement (2018) (7)
- Supplementary Materials : Self-Paced Learning with Diversity (2014) (6)
- Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference (2021) (6)
- Variational Image Restoration Network (2020) (6)
- Stein variational gradient descent on infinite-dimensional space and applications to statistical inverse problems (2021) (6)
- Discovering influential factors in variational autoencoders (2020) (6)
- Video Rain/Snow Removal by Transformed Online Multiscale Convolutional Sparse Coding (2019) (6)
- Meta self-paced learning (2020) (6)
- Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices (2022) (6)
- Detecting Intrinsic Loops Underlying Data Manifold (2013) (6)
- A General Model for Robust Tensor Factorization with Unknown Noise (2017) (6)
- Fast and Accurate Content-based Semantic Search in 100 M Internet Videos (2015) (6)
- Meta-LR-Schedule-Net: Learned LR Schedules that Scale and Generalize (2020) (6)
- Learning an Explicit Hyperparameter Prediction Policy Conditioned on Tasks (2021) (5)
- A Multiobjective Approach Based on Gaussian Mixture Clustering for Sparse Reconstruction (2019) (5)
- Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning (2016) (5)
- Robust CSI Estimation Under Complex Communication Environment (2019) (5)
- Semi-supervised CNN for Single Image Rain Removal (2018) (5)
- From Rain Removal to Rain Generation (2020) (5)
- Context-Based Multiscale Unified Network for Missing Data Reconstruction in Remote Sensing Images (2020) (5)
- Color and direction-invariant nonlocal self-similarity prior and its application to color image denoising (2020) (5)
- A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements (2015) (5)
- CMU-informedia @ TRECViD 2014 semantic indexing (2014) (5)
- A recursive divide-and-conquer approach for sparse principal component analysis (2012) (4)
- Two-Stream Graph Convolutional Network for Intra-Oral Scanner Image Segmentation (2021) (4)
- CPCT-LRTDTV: cerebral perfusion CT image restoration via a low rank tensor decomposition with total variation regularization (2018) (4)
- Plenty is Plague: Fine-Grained Learning for Visual Question Answering (2019) (4)
- Iterated Support Vector Machines for Distance Metric Learning (2015) (4)
- Unsupervised Learning of Local Discriminative Representation for Medical Images (2020) (4)
- Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment (2022) (4)
- Dual-Pyramidal Image Inpainting With Dynamic Normalization (2022) (4)
- Semantic Indexing (2014) (4)
- Continuous Multi-Angle Remote Sensing and Its Application in Urban Land Cover Classification (2021) (3)
- CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning (2022) (3)
- Hyperspectral Image Restoration Combining Intrinsic Image Characterization With Robust Noise Modeling (2021) (3)
- KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution (2022) (3)
- IIT-GAT: Instance-level image transformation via unsupervised generative attention networks with disentangled representations (2021) (3)
- Strategies for Searching Video Content with Text Queries or Video Examples (2016) (3)
- Multimedia Event Detection and Recounting (2013) (3)
- Fast Aerial Image Geolocalization Using the Projective-Invariant Contour Feature (2021) (3)
- Multiview stereo and silhouette fusion via minimizing generalized reprojection error (2015) (3)
- MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks (2020) (3)
- Text-to-video: a semantic search engine for internet videos (2016) (3)
- Following the entire solution path of sparse principal component analysis by coordinate-pairwise algorithm (2013) (3)
- Fast Noise Removal in Hyperspectral Images via Representative Coefficient Total Variation (2022) (3)
- Multilinear Multitask Learning by Rank-Product Regularization (2020) (3)
- Evaluation of a Spatial Relationship by the Concept of Intrinsic Spatial Distance (2013) (3)
- A More Efficient Preprocessing Method for Support Vector Classification (2005) (3)
- A Probabilistic Formulation for Meta-Weight-Net (2021) (3)
- Contrast-Medium Anisotropy-Aware Tensor Total Variation Model for Robust Cerebral Perfusion CT Reconstruction With Low-Dose Scans (2020) (3)
- HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging (2022) (3)
- Divide-and-Conquer Method for L1 Norm Matrix Factorization in the Presence of Outliers and Missing Data (2012) (2)
- LRTHR-Net: A Low-Resolution-to-High-Resolution Framework to Iteratively Refine the Segmentation of Thyroid Nodule in Ultrasound Images (2021) (2)
- Semi-supervised noise distribution learning for low-dose CT restoration (2020) (2)
- Contrast-medium anisotropy-aware tensor total variation model for robust cerebral perfusion CT reconstruction with weak radiation: a preliminary study (2019) (2)
- Diagnosing Batch Normalization in Class Incremental Learning (2022) (2)
- [Invited Paper] Strategies for Searching Video Content with Text Queries or Video Examples: Features, Semantic Detectors, Fusion, Efficient Search and Reranking (2016) (2)
- A Tensor-Based Online RPCA Model for Compressive Background Subtraction. (2022) (2)
- A Deep Variational Bayesian Framework for Blind Image Deblurring (2021) (2)
- Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification (2021) (2)
- A Learning-based Frame Pooling Model For Event Detection (2016) (2)
- Estimating geodesic distances on locally linear patches (2007) (2)
- Push the Student to Learn Right: Progressive Gradient Correcting by Meta-learner on Corrupted Labels (2019) (2)
- Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective (2021) (2)
- Density-based region search with arbitrary shape for object localisation (2014) (2)
- Fast and Provable Nonconvex Tensor RPCA (2022) (1)
- Informedia at TRECVID2014: MED and MER, Semantic Indexing, Surveillance Event Detection (2014) (1)
- Fourier Series Expansion Based Filter Parametrization for Equivariant Convolutions (2021) (1)
- Infrared Small Target Detection Using Multi-patch Attention Network (2021) (1)
- Unsupervised Single Image Super-resolution Under Complex Noise (2021) (1)
- Special issue on Chinese Conference on Computer Vision 2015 (2016) (1)
- MEP-Based Channel Estimation under Complex Communication Environment (2020) (1)
- Informedia @ TRECVID 2014 (2014) (1)
- Joint recognition / segmentation with cascaded multi-level feature classification and confidence propagation (2013) (1)
- A New Approach for Regression: Visual Regression Approach (2005) (1)
- Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction (2020) (1)
- Efficient Pyramidal GAN for Versatile Missing Data Reconstruction in Remote Sensing Images (2022) (1)
- Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion (2022) (1)
- T-former: An Efficient Transformer for Image Inpainting (2022) (1)
- Model Inconsistent but Correlated Noise: Multi-view Subspace Learning with Regularized Mixture of Gaussians (2018) (1)
- A New Pre-processing Method for Regression (2006) (1)
- Simplex Representation for Subspace Clustering (2018) (1)
- The strong convergence of visual classification method and its applications (2013) (1)
- Supplementary Material of ”Dual Adversarial Network: Toward Real Noise Removal and Noise Generation” (2020) (1)
- Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations (2022) (1)
- A new nonlocal low-rank regularization method with applications to magnetic resonance image denoising (2022) (1)
- SUPPLEMENTARY MATERIAL OF “VARIATIONAL BAYES’ METHOD FOR FUNCTIONS WITH APPLICATIONS TO INVERSE PROBLEMS” (2020) (0)
- Dictionary learning under global sparsity constraint (2012) (0)
- CMW-Net: an adaptive robust algorithms for sample selection and label correction (2023) (0)
- “ Self-Paced Learning for Matrix Factorization ” : Supplementary Material (2014) (0)
- Supplementary Material for LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation (2020) (0)
- Supplementary Materials Robust Low-dose CT Sinogram Prepocessing via Exploiting Noise-generating Mechanism (2017) (0)
- Random Weights Networks Work as Loss Prior Constraint for Image Restoration (2023) (0)
- Uncertainty-guided hierarchical frequency domain Transformer for image restoration (2023) (0)
- Stein variational gradient descent with learned direction (2023) (0)
- Robust Multi-view Subspace Learning with Non-identical and Non-independent Distributed Complex Noises (2019) (0)
- A Hyper-weight Network for Hyperspectral Image Denoising (2022) (0)
- Regularize implicit neural representation by itself (2023) (0)
- Infrared Small Target Detection Using Focally Multi-Patch Network (2021) (0)
- The strong convergence of visual classification met hod and its applications in disease diagnosis (2008) (0)
- Preliminary theoretical troubleshooting in Variational Autoencoder (2018) (0)
- Guaranteed Tensor Recovery Fused Low-rankness and Smoothness (2023) (0)
- Robust low-rank tensor factorization by cyclic weighted median (2014) (0)
- Supplementary Material to “ Convolutional Sparse Coding for Image Super-resolution ” (2015) (0)
- Supplementary Material of “Robust Multi-view Subspace Learning with Non-identically and Non-independently Distributed Complex Noises” (2019) (0)
- Robust Online CSI Estimation in a Complex Environment (2022) (0)
- Supplementary Material of “ A Novel Sparsity Measure for Tensor Recovery ” (2015) (0)
- Deep Variational Network Toward Blind Image Restoration (2020) (0)
- S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning (2022) (0)
- Approximation Bound of Mixture Networks in Lomegap Spaces (2006) (0)
- A Novel Tensor RPCA approach for Background Subtraction from Compressive Measurements (2015) (0)
- Noise suppression for cerebral perfusion CT via intrinsic tensor sparsity regularization: Initial study (2016) (0)
- Single image rain streaks removal: a review and an exploration (2020) (0)
- Discovering Influential Factors in Variational Autoencoder (2018) (0)
- A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback (2022) (0)
- Robust sparse principal component analysis (2014) (0)
- Approximation Bound of Mixture Networks in Lpw Spaces (2006) (0)
- Improve Noise Tolerance of Robust Loss via Noise-Awareness (2023) (0)
- Weight Decay With Tailored Adam on Scale-Invariant Weights for Better Generalization. (2022) (0)
- Ministry of Education Key Lab of Intelligent Networks and Network Security , Xi ’ an Jiaotong University (0)
- Photon Counting Computed Tomography Image Restoration via Mixture Gaussian Noise Model: Initial Study (2018) (0)
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