Ruiqin Xiong

Publication

• Spk2SRImgNet: Super-Resolve Dynamic Scene from Spike Stream via Motion Aligned Collaborative Filtering
• Progressive Content-aware Coded Hyperspectral Compressive Imaging
• Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion
• Joint Demosaicing and Denoising for Spike Camera
• Learning to Super-Resolve Dynamic Scenes for Neuromorphic Spike Camera
• Physics-Inspired Compressive Sensing: Beyond Deep Unrolling
• HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging
• Super Resolve Dynamic Scene from Continuous Spike Streams
• CAS: Correlation Adaptive Sparse Modeling for Image Denoising
• Spk2ImgNet:Learning to Reconstruct Dynamic Scene from Continuous Spike Stream
• Low-Rank-Based Nonlocal Adaptive Loop Filter for High-Efficiency Video Compression
• Power Distortion Optimization for Uncoded Linear Transformed Transmission of Images and Videos
• Video Compressive Sensing Reconstruction Via Reweighted Residual Sparsity
• CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking
• Image Denoising via Bandwise Adaptive Modeling and Regularization Exploiting Nonlocal Similarity
• Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples
• Image Restoration Using Joint Statistical Modeling in a Space-Transform Domain
• Improved Total Variation based Image Compressive Sensing Recovery by Nonlocal Regularization
• Compressed Sensing Recovery via Collaborative Sparsity
• Exploiting Image Local and Nonlocal Consistency for Mixed Gaussian-Impulse Noise Removal
• Image Compressive Sensing Recovery via Collaborative Sparsity
• Image Primitive Coding and Visual Quality Assessment
• Image Super-Resolution via Dual-Dictionary Learning and Sparse Representation
• High-Quality Image Restoration from Partial Random Samples in Spatial Domain
• Interpolation-Dependent Image Downsampling