Deyu Meng
87 papers · 2013–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Research topics
Machine Learning
(59)
Computer Vision
(45)
Deep Learning
(41)
Processing
(31)
Learning Types Β· Machine Learning
(29)
Core Methods
(26)
Optimization & Theory
(22)
Domain-Specific
(17)
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(15)
Artificial Intelligence
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Analysis
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Mathematics & Optimization
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Models
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Keywords
image restoration
(9)
image denoising
(8)
remote sensing
(8)
semi-supervised learning
(6)
variational inference
(6)
self-paced learning
(5)
non-convex optimization
(5)
hyperspectral image
(5)
object detection
(4)
image segmentation
(4)
low-rank approximation
(4)
matrix factorization
(4)
mixture of gaussian
(4)
convolutional neural network
(4)
implicit neural representation
(3)
generative model
(3)
bayesian framework
(3)
image fusion
(3)
meta learning
(3)
weakly supervised learning
(3)
Papers
DynamicEarth: How Far Are We from Open-Vocabulary Change Detection?
AAAI 2026
SegEarth-R2: Towards Comprehensive Language-guided Segmentation for Remote Sensing Images
CVPR 2026
ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks
CVPR 2026
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
CVPR 2025
A Regularization-Guided Equivariant Approach for Image Restoration
CVPR 2025
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm
IJCAI 2025
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery
AAAI 2025
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
ICCV 2025
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image
ICCV 2025
Improving Memory Efficiency for Training KANs via Meta Learning
ICML 2025
Rotation-Equivariant Self-Supervised Method in Image Denoising
CVPR 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
ICLR 2025
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images
CVPR 2025
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion
ICLR 2025
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation
CVPR 2025
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
CVPR 2025
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding
ECCV 2024
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion
ECCV 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NeurIPS 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
AAAI 2024
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
CVPR 2024
InfMAE: A Foundation Model in The Infrared Modality
ECCV 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction
ICLR 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering?
AAAI 2024
CBA: Improving Online Continual Learning via Continual Bias Adaptor
ICCV 2023
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
ICCV 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan
ICCV 2023
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
CVPR 2023
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
ICLR 2023
Interactive Segmentation As Gaussion Process Classification
CVPR 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks
JMLR 2023
PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening
ICCV 2023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent
NeurIPS 2023
Probability-Based Global Cross-Modal Upsampling for Pansharpening
CVPR 2023
Regularize Implicit Neural Representation by Itself
CVPR 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness
AAAI 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations
JMLR 2023
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
IJCAI 2022
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel
CVPR 2022
Deep Fourier Up-Sampling
NeurIPS 2022
Fast and Provable Nonconvex Tensor RPCA
ICML 2022
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging
CVPR 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
ECCV 2022
SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud
CVPR 2022
Tensor Wheel Decomposition and Its Tensor Completion Application
NeurIPS 2022
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective
AAAI 2021
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors
CVPR 2021
From Rain Generation to Rain Removal
CVPR 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise
CVPR 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
Semi-Supervised Video Deraining With Dynamical Rain Generator
CVPR 2021
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation
CVPR 2021
A Model-Driven Deep Neural Network for Single Image Rain Removal
CVPR 2020
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
ECCV 2020
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
ECCV 2020
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation
CVPR 2020
Momentum Batch Normalization for Deep Learning with Small Batch Size
ECCV 2020
Self-paced Multi-view Co-training
JMLR 2020
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NeurIPS 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
CVPR 2019
Progressive Image Deraining Networks: A Better and Simpler Baseline
CVPR 2019
Semi-Supervised Transfer Learning for Image Rain Removal
CVPR 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal
NeurIPS 2019
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
CVPR 2018
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities
ECCV 2018
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding
CVPR 2018
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation
ICCV 2017
Self-Paced Co-training
ICML 2017
Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
ICCV 2017
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos
CVPR 2017
Tensor RPCA by Bayesian CP Factorization With Complex Noise
ICCV 2017
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning
IJCAI 2016
Learning to Detect Concepts from Webly-Labeled Video Data
IJCAI 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
CVPR 2016
Robust Tensor Factorization With Unknown Noise
CVPR 2016
Self-Paced Boost Learning for Classification
IJCAI 2016
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking
CVPR 2016
A Novel Sparsity Measure for Tensor Recovery
ICCV 2015
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
ICCV 2015
Convolutional Sparse Coding for Image Super-Resolution
ICCV 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions
ICCV 2015
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising
CVPR 2014
Robust Principal Component Analysis with Complex Noise
ICML 2014
Self-Paced Learning with Diversity
NeurIPS 2014
Transitive Distance Clustering with K-Means Duality
CVPR 2014
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding
ICCV 2013
Robust Matrix Factorization with Unknown Noise
ICCV 2013