Weisheng Dong

papers

546

total citations

papers (18)

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization

AAAI 2025

citations

Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation

CVPR 2025

citations

Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention

ICCV 2023

citations

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment

ICCV 2021

citations

Uncertainty-Driven Loss for Single Image Super-Resolution

NEURIPS 2021

citations

Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection

CVPR 2025

citations

Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring

CVPR 2023

citations

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes

CVPR 2025

citations

Partially Matching Submap Helps: Uncetainty Modeling and Propagation for Text to Point Cloud Localization

ICCV 2025

citations

Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring

AAAI 2025

citations

Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution

ECCV 2022

citations

Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition

ECCV 2022

citations

Vector Quantization With Self-Attention for Quality-Independent Representation Learning

CVPR 2023

citations

Weisheng Dong

papers (18)

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

External Knowledge Enhanced 3D Scene Generation from Sketch

Inverse Weight-Balancing for Deep Long-Tailed Learning

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization

Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation

Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment

Uncertainty-Driven Loss for Single Image Super-Resolution

Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection

Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes

Partially Matching Submap Helps: Uncetainty Modeling and Propagation for Text to Point Cloud Localization

Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring

Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution

Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition

Vector Quantization With Self-Attention for Quality-Independent Representation Learning

papers (18)

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

External Knowledge Enhanced 3D Scene Generation from Sketch

Inverse Weight-Balancing for Deep Long-Tailed Learning

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring

Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization

Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation

Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention

Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment

Uncertainty-Driven Loss for Single Image Super-Resolution

Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection

Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring

Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes

Partially Matching Submap Helps: Uncetainty Modeling and Propagation for Text to Point Cloud Localization

Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring

Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution

Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition

Vector Quantization With Self-Attention for Quality-Independent Representation Learning