Weisheng Dong

30 papers · 2015–2026 · 7 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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🗺️ Taxonomy Completionist (63) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🔬 Deep Specialist (12) 🤝 Dynamic Duo (22) 🧬 Topic Evolution 🧭 Keyword Pioneer ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (147)

Venues

CVPR (11) AAAI (5) ICCV (5) ECCV (3) IJCAI (3) NeurIPS (2) MICCAI (1)

Top co-authors

GUANGMING Shi (22) Xin Li (15) Jinjian Wu (11) Fangfang Wu (10) Mingtao Feng (7) Leida Li (6) Yaonan Wang (6) Tao Huang (6) Zijie Wu (5) Zhou Yang (4)

Research topics

Computer Vision (22) Machine Learning (18) Processing (15) Deep Learning (14) Optimization & Theory (12) Artificial Intelligence (8) Learning Types · Deep Learning (7) Application Areas (6) Models (6) Analysis (5) Core AI (5) Core Methods (5) Domain-Specific (5) Learning Types · Machine Learning (5) Architectures (3)

Keywords

sparse coding (3) convolutional neural network (3) gaussian distribution (3) domain adaptation (3) unsupervised learning (3) image super-resolution (3) uncertainty estimation (2) image quality assessment (2) single image super-resolution (2) uncertainty modeling (2) domain generalization (2) image restoration (2) feature fusion (2) motion deblurring (2) representation learning (2) gaussian scale mixtures (2) maximum a posteriori (2) adversarial training (2) diffusion model (2) bayesian inference (1)

Papers

IAFMNet: Information-Aware Feature Modulation for Efficient Super-Resolution CVPR 2026 Learning Hierarchical Hyperbolic Mixture Model for Part-aware 3D Generation CVPR 2026 Rethinking Knowledge Transfer in Image Quality Assessment: A Perceptual Preference Structure Alignment Perspective CVPR 2026 Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring AAAI 2025 Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection CVPR 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025 Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation CVPR 2025 High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation MICCAI 2025 Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025 Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization ICCV 2025 PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing IJCAI 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025 External Knowledge Enhanced 3D Scene Generation from Sketch ECCV 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention ICCV 2023 Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring CVPR 2023 Vector Quantization With Self-Attention for Quality-Independent Representation Learning CVPR 2023 Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 2022 Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition ECCV 2022 Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution ECCV 2022 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NeurIPS 2021 Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment ICCV 2021 Beyond Network Pruning: a Joint Search-and-Training Approach IJCAI 2020 MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment CVPR 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation AAAI 2020 Learning Parametric Sparse Models for Image Super-Resolution NeurIPS 2016 Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding ICCV 2015 Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015