GUANGMING Shi

Scaling Dense Event-Stream Pretraining from Visual Foundation Models 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 Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025 PatternCIR Benchmark and TisCIR: Advancing Zero-Shot Composed Image Retrieval in Remote Sensing IJCAI 2025 Triad: Empowering LMM-based Anomaly Detection with Expert-guided Region-of-Interest Tokenizer and Manufacturing Process ICCV 2025 BVT-IMA: Binary Vision Transformer with Information-Modified Attention AAAI 2024 E-Motion: Future Motion Simulation via Event Sequence Diffusion NeurIPS 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events AAAI 2024 Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens CVPR 2024 Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining MICCAI 2024 Gradient Corner Pooling for Keypoint-Based Object Detection AAAI 2023 Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers AAAI 2023 Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention ICCV 2023 Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging CVPR 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 EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation CVPR 2021 PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network AAAI 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 Co-Representation Network for Generalized Zero-Shot Learning ICML 2019 Learning Parametric Sparse Models for Image Super-Resolution NeurIPS 2016 High-Speed Hyperspectral Video Acquisition With a Dual-Camera Architecture CVPR 2015 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