Dong, Weisheng

29 publications

AAAI 2025 Asymmetric Hierarchical Difference-Aware Interaction Network for Event-Guided Motion Deblurring Wen Yang, Jinjian Wu, Leida Li, Weisheng Dong, Guangming Shi

CVPR 2025 Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection Jinghao Bian, Mingtao Feng, Weisheng Dong, Fangfang Wu, Jianqiao Luo, Yaonan Wang, Guangming Shi

CVPR 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes Zhou Yang, Mingtao Feng, Tao Huang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi

CVPR 2025 Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation Qitong Yang, Mingtao Feng, Zijie Wu, Weisheng Dong, Fangfang Wu, Yaonan Wang, Ajmal Mian

CVPR 2025 Parameterized Blur Kernel Prior Learning for Local Motion Deblurring Zhenxuan Fang, Fangfang Wu, Tao Huang, Le Dong, Weisheng Dong, Xin Li, Guangming Shi

ICCV 2025 Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization Mingtao Feng, Longlong Mei, Zijie Wu, Jianqiao Luo, Fenghao Tian, Jie Feng, Weisheng Dong, Yaonan Wang

IJCAI 2025 PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing Zhechun Liang, Tao Huang, Fangfang Wu, Shiwen Xue, Zhenyu Wang, Weisheng Dong, Xin Li, Guangming Shi

AAAI 2025 Semantic Ambiguity Modeling and Propagation for Fine-Grained Visual Cross View Geo-Localization Mingtao Feng, Fenghao Tian, Jianqiao Luo, Zijie Wu, Weisheng Dong, Yaonan Wang, Ajmal Saeed Mian

NeurIPS 2025 Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong

ECCV 2024 External Knowledge Enhanced 3D Scene Generation from Sketch Zijie Wu, Mingtao Feng, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian

AAAI 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning Wenqi Dang, Zhou Yang, Weisheng Dong, Xin Li, Guangming Shi

ICCV 2023 Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi

CVPR 2023 Self-Supervised Non-Uniform Kernel Estimation with Flow-Based Motion Prior for Blind Image Deblurring Zhenxuan Fang, Fangfang Wu, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi

CVPRW 2023 TFRGAN: Leveraging Text Information for Blind Face Restoration with Extreme Degradation Chengxing Xie, Qian Ning, Weisheng Dong, Guangming Shi

CVPR 2023 Vector Quantization with Self-Attention for Quality-Independent Representation Learning Zhou Yang, Weisheng Dong, Xin Li, Mengluan Huang, Yulin Sun, Guangming Shi

IJCAI 2022 Learning Degradation Uncertainty for Unsupervised Real-World Image Super-Resolution Qian Ning, Jingzhu Tang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi

AAAI 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li, Guangming Shi

ECCV 2022 Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi

ECCV 2022 Uncertainty Learning in Kernel Estimation for Multi-Stage Blind Image Super-Resolution Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi

CVPR 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi

NeurIPS 2021 Uncertainty-Driven Loss for Single Image Super-Resolution Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, Guangming Shi

ICCV 2021 Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi

IJCAI 2020 Beyond Network Pruning: A Joint Search-and-Training Approach Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi

AAAI 2020 Spatial-Temporal Gaussian Scale Mixture Modeling for Foreground Estimation Qian Ning, Weisheng Dong, Fangfang Wu, Jinjian Wu, Jie Lin, Guangming Shi

NeurIPS 2016 Learning Parametric Sparse Models for Image Super-Resolution Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Xin Li, Donglai Xu

ICCV 2015 Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie

ICCV 2015 Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising Weisheng Dong, Guangyu Li, Guangming Shi, Xin Li, Yi Ma

ICCV 2011 Centralized Sparse Representation for Image Restoration Weisheng Dong, Lei Zhang, Guangming Shi

CVPR 2011 Sparsity-Based Image Denoising via Dictionary Learning and Structural Clustering Weisheng Dong, Xin Li, Lei Zhang, Guangming Shi