Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Residual Reconstruction for Block-Based Compressed Sensing of Video
Compressive imaging for video representation and coding
Image processing on compressed data for large video databases
Random Filters for Compressive Sampling and Reconstruction
Geometry constrained sparse coding for single image super-resolution
Nonlocally Centralized Sparse Representation for Image Restoration
Single-pixel imaging via compressive sampling
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Multi-Task Compressive Sensing
imaging via compressive sampling .
CS168: The Modern Algorithmic Toolbox Lecture #17: Compressive Sensing
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.
Model-Based Compressive Sensing
Kronecker Compressive Sensing
Sparse Reconstruction by Separable Approximation
Deep recurrent resnet for video super-resolution
alternating direction algorithms for 1 - problems in compressive sensing .
compressive sensing [ lecture notes ] .
Video Superresolution via Motion Compensation and Deep Residual Learning
Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Multi-Agent Inverse Reinforcement Learning
Greed is good: algorithmic results for sparse approximation
Breaking the Vehicular Wireless Communications Barriers: Vertical Handover Techniques for Heterogeneous Networks
A Hybrid Wired/Wireless Networking Infrastructure for Greenhouse Management
Distractor Efficiency in an Item Pool for a Statistics Classroom Exam: Assessing Its Relation With Item Cognitive Level Classified According to Bloom’s Taxonomy