← Authors

Weisheng Dong

27 papers · 2015–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (57) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (22) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (137) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (27)

Conferences

CVPR (8) AAAI (5) ICCV (5) ECCV (3) IJCAI (3) NIPS (2) MICCAI (1)

Top co-authors

GUANGMING Shi (22) Xin Li (15) Jinjian Wu (10) Fangfang Wu (9) Mingtao Feng (6) Leida Li (6) Tao Huang (5) Yaonan Wang (5) Zhou Yang (4) Zijie Wu (4)

Keywords

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

Papers

High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation MICCAI 2025
Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization AAAI 2025
Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring AAAI 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
Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025
Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection 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
External Knowledge Enhanced 3D Scene Generation from Sketch ECCV 2024
Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring CVPR 2023
Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention ICCV 2023
Vector Quantization With Self-Attention for Quality-Independent Representation Learning CVPR 2023
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition ECCV 2022
Learning Degradation Uncertainty for Unsupervised Real-world Image Super-resolution IJCAI 2022
Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 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 NIPS 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 NIPS 2016
Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015
Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding ICCV 2015