GUANGMING Shi

35 papers · 2015–2025 · 8 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (10)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10) 🤝 Dynamic Duo (22) 🔬 Deep Specialist (14) 🧬 Topic Evolution 📈 Trend Setter 🚀 Conference Pioneer ⚡ Prolific Year (6) 🗃️ Keyword Collector (177) 💎 Century Club (35) 🔥 Unstoppable (7)

Conferences

CVPR (11) AAAI (9) ICCV (5) IJCAI (3) NIPS (3) ECCV (2) ICML (1) MICCAI (1)

Top co-authors

Weisheng Dong (22) Xin Li (15) Jinjian Wu (13) Fangfang Wu (8) Leida Li (7) Tao Huang (5) Xuemei Xie (5) Zhou Yang (4) Zhenxuan Fang (3) Qian Ning (3)

Keywords

convolutional neural network (3) event camera (3) sparse coding (3) unsupervised learning (3) image super-resolution (3) representation learning (3) hyperspectral imaging (3) motion deblurring (3) image restoration (3) domain generalization (2) model compression (2) maximum a posteriori (2) feature fusion (2) zero-shot learning (2) attention mechanism (2) image classification (2) gaussian scale mixtures (2) domain adaptation (2) sparse representation (2) adversarial training (2)

Papers

Parameterized Blur Kernel Prior Learning for Local Motion Deblurring CVPR 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes 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 Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection CVPR 2025 Asymmetric Hierarchical Difference-aware Interaction Network for Event-guided Motion Deblurring AAAI 2025 Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining MICCAI 2024 E-Motion: Future Motion Simulation via Event Sequence Diffusion NIPS 2024 Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens CVPR 2024 Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events AAAI 2024 Inverse Weight-Balancing for Deep Long-Tailed Learning AAAI 2024 BVT-IMA: Binary Vision Transformer with Information-Modified Attention AAAI 2024 Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging CVPR 2023 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 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 Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware Attention ICCV 2023 Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution ECCV 2022 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 Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment ICCV 2021 Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging CVPR 2021 Uncertainty-Driven Loss for Single Image Super-Resolution NIPS 2021 PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network AAAI 2021 EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation CVPR 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 NIPS 2016 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 High-Speed Hyperspectral Video Acquisition With a Dual-Camera Architecture CVPR 2015