← Authors

Deyu Meng

85 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🏠 Conference Loyalist (32) 🀝 Dynamic Duo (23) πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (25) πŸ”₯ Unstoppable (13) ⚑ Prolific Year (8) πŸ“ˆ Trend Setter ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (314) πŸ’Ž Century Club (84) πŸš€ Conference Pioneer

Conferences

CVPR (32) ICCV (15) ECCV (8) AAAI (7) NIPS (7) IJCAI (5) ICLR (4) ICML (4) JMLR (3)

Top co-authors

Qian Zhao (23) Qi Xie (15) Zongben Xu (13) Xiangyong Cao (12) Lei Zhang (10) Wangmeng Zuo (9) Chenqiang Gao (8) Zongsheng Yue (7) Yao Wang (6) Jun Shu (5)

Keywords

image restoration (9) image denoising (8) remote sensing (6) variational inference (6) self-paced learning (5) semi-supervised learning (5) hyperspectral image (5) convolutional neural network (4) low-rank approximation (4) non-convex optimization (4) matrix factorization (4) mixture of gaussian (4) object detection (3) generative model (3) tensor factorization (3) implicit neural representation (3) noisy label (3) image segmentation (3) image fusion (3) weakly supervised learning (3)

Papers

DynamicEarth: How Far Are We from Open-Vocabulary Change Detection? AAAI 2026
A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025
Improving Memory Efficiency for Training KANs via Meta Learning ICML 2025
Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion ICLR 2025
AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation 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
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image ICCV 2025
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction ICCV 2025
SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images CVPR 2025
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation CVPR 2025
Rotation-Equivariant Self-Supervised Method in Image Denoising CVPR 2025
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method CVPR 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning ICLR 2025
HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models CVPR 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing NIPS 2024
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion ECCV 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024
InfMAE: A Foundation Model in The Infrared Modality ECCV 2024
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer AAAI 2024
Which Is More Effective in Label Noise Cleaning, Correction or Filtering? AAAI 2024
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding ECCV 2024
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion ICCV 2023
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NIPS 2023
Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023
Interactive Segmentation As Gaussion Process Classification CVPR 2023
Probability-Based Global Cross-Modal Upsampling for Pansharpening CVPR 2023
Regularize Implicit Neural Representation by Itself CVPR 2023
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection CVPR 2023
PanFlowNet: A Flow-Based Deep Network for Pan-Sharpening ICCV 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor ICCV 2023
Dual Meta-Learning with Longitudinally Consistent Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan ICCV 2023
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier ICLR 2023
Learning an Explicit Hyper-parameter Prediction Function Conditioned on Tasks JMLR 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023
Tensor Wheel Decomposition and Its Tensor Completion Application NIPS 2022
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction IJCAI 2022
Fast and Provable Nonconvex Tensor RPCA ICML 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution ECCV 2022
Deep Fourier Up-Sampling NIPS 2022
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging CVPR 2022
SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud CVPR 2022
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel CVPR 2022
Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021
Semi-Supervised Video Deraining With Dynamical Rain Generator CVPR 2021
Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors CVPR 2021
TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation CVPR 2021
From Rain Generation to Rain Removal CVPR 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021
A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020
Self-paced Multi-view Co-training JMLR 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
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
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
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting NIPS 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal NIPS 2019
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities ECCV 2018
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding CVPR 2018
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation CVPR 2018
Should We Encode Rain Streaks in Video as Deterministic or Stochastic? ICCV 2017
Self-Paced Co-training ICML 2017
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos CVPR 2017
Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation ICCV 2017
Tensor RPCA by Bayesian CP Factorization With Complex Noise ICCV 2017
Self-Paced Boost Learning for Classification IJCAI 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking CVPR 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
Learning to Detect Concepts from Webly-Labeled Video Data IJCAI 2016
Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-Paced Curriculum Learning IJCAI 2016
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection ICCV 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015
A Novel Sparsity Measure for Tensor Recovery ICCV 2015
Convolutional Sparse Coding for Image Super-Resolution ICCV 2015
Transitive Distance Clustering with K-Means Duality CVPR 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising CVPR 2014
Self-Paced Learning with Diversity NIPS 2014
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding ICCV 2013
Robust Matrix Factorization with Unknown Noise ICCV 2013