Weisheng Dong
27 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (10)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(7)
🤝
Dynamic Duo
(22)
🔬
Deep Specialist
(11)
🧬
Topic Evolution
📈
Trend Setter
⚡
Prolific Year
(9)
🗃️
Keyword Collector
(137)
🔥
Unstoppable
(6)
💎
Century Club
(27)
Conferences
CVPR (8)
AAAI (5)
ICCV (5)
ECCV (3)
IJCAI (3)
NIPS (2)
MICCAI (1)
Top co-authors
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