{"total":31,"rows":[{"id":"2110.09766","title":"Memory-Augmented Deep Unfolding Network for Compressive Sensing","created":"2021-10-19","cited_by_count":38,"area":null},{"id":"2112.06238","title":"HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging","created":"2021-12-12","cited_by_count":26,"area":null},{"id":"2505.06683","title":"UnfoldIR: Rethinking Deep Unfolding Network in Illumination Degradation Image Restoration","created":"2025-05-10","cited_by_count":22,"area":null},{"id":"2209.01578","title":"Spatial-Temporal Transformer for Video Snapshot Compressive Imaging","created":"2022-09-04","cited_by_count":21,"area":null},{"id":"2305.10006","title":"EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging","created":"2023-05-17","cited_by_count":18,"area":null},{"id":"2306.16060","title":"Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing","created":"2023-06-28","cited_by_count":15,"area":null},{"id":"2304.13986","title":"Optimization-Inspired Cross-Attention Transformer for Compressive Sensing","created":"2023-04-27","cited_by_count":12,"area":null},{"id":"2111.13923","title":"Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution","created":"2021-11-27","cited_by_count":10,"area":null},{"id":"2309.00066","title":"SoDaCam: Software-defined Cameras via Single-Photon Imaging","created":"2023-08-31","cited_by_count":10,"area":null},{"id":"2207.11972","title":"TransCL: Transformer Makes Strong and Flexible Compressive Learning","created":"2022-07-25","cited_by_count":8,"area":null},{"id":"2404.05274","title":"Deep Optics for Video Snapshot Compressive Imaging","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2307.08950","title":"Deep Physics-Guided Unrolling Generalization for Compressed Sensing","created":"2023-07-18","cited_by_count":7,"area":null},{"id":"2303.09773","title":"Progressive Content-aware Coded Hyperspectral Compressive Imaging","created":"2023-03-17","cited_by_count":6,"area":null},{"id":"2201.06931","title":"Deep Equilibrium Models for Video Snapshot Compressive Imaging","created":"2022-01-18","cited_by_count":5,"area":null},{"id":"2204.11189","title":"PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI","created":"2022-04-24","cited_by_count":5,"area":null},{"id":"2207.13560","title":"D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing","created":"2022-07-27","cited_by_count":4,"area":null},{"id":"2407.11946","title":"Hierarchical Separable Video Transformer for Snapshot Compressive Imaging","created":"2024-07-16","cited_by_count":4,"area":null},{"id":"2201.05810","title":"Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing","created":"2022-01-15","cited_by_count":3,"area":null},{"id":"2306.11316","title":"Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging","created":"2023-06-20","cited_by_count":2,"area":null},{"id":"2401.04903","title":"SnapCap: Efficient Snapshot Compressive Video Captioning","created":"2024-01-10","cited_by_count":2,"area":null},{"id":"2203.00387","title":"Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing","created":"2022-03-01","cited_by_count":1,"area":null},{"id":"2406.03694","title":"Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms","created":"2024-06-06","cited_by_count":1,"area":null},{"id":"2408.07530","title":"Towards Real-time Video Compressive Sensing on Mobile Devices","created":"2024-08-14","cited_by_count":1,"area":null},{"id":"2202.07437","title":"Mathematical Cookbook for Snapshot Compressive Imaging","created":"2022-02-09","cited_by_count":0,"area":null},{"id":"2304.07473","title":"Hierarchical Interactive Reconstruction Network For Video Compressive Sensing","created":"2023-04-15","cited_by_count":0,"area":null},{"id":"2307.07291","title":"Sampling-Priors-Augmented Deep Unfolding Network for Robust Video Compressive Sensing","created":"2023-07-14","cited_by_count":0,"area":null},{"id":"2412.18417","title":"Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging","created":"2024-12-24","cited_by_count":0,"area":null},{"id":"2501.15122","title":"Vision without Images: End-to-End Computer Vision from Single Compressive Measurements","created":"2025-01-25","cited_by_count":0,"area":null},{"id":"2502.19683","title":"Dual-branch Graph Feature Learning for NLOS Imaging","created":"2025-02-27","cited_by_count":0,"area":null},{"id":"2509.08228","title":"Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing","created":"2025-09-10","cited_by_count":0,"area":null},{"id":"2603.07489","title":"RobustSCI: Beyond Reconstruction to Restoration for Snapshot Compressive Imaging under Real-World Degradations","created":"2026-03-08","cited_by_count":0,"area":null}],"next_cursor":null}