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Deyu Meng

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

Achievements

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+16 more ↓ 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9)
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)

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