Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Learning an Optimizer for Image Deconvolution
A Machine Learning Approach for Non-blind Image Deconvolution
Learning a Deep Convolutional Network for Image Super-Resolution
FPGA implementation of the Lucy-Richardson algorithm for fast space-variant image deconvolution
development of blind image deconvolution and its applications .
Learning Deconvolution Network for Semantic Segmentation
Understanding and evaluating blind deconvolution algorithms
A Concatenated Residual Convolutional Network for Image Deblurring
blind image deconvolution : an algorithmic approach to practical image restoration 1 .
End-to-End Learning for Image Burst Deblurring
Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution
Learning a Deep Convolutional Network for Light-Field Image Super-Resolution
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks
On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Deep Convolutional Neural Network for Inverse Problems in Imaging
Learning iterative image reconstruction
Dilated Deep Residual Network for Image Denoising
Deep Residual Convolutional Network for Natural Image Denoising and Brightness Enhancement
Natural Image Denoising with Convolutional Networks
Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
The Critical Success Factors in Customer Relationship Management (CRM) (ERP) Implementation
BioSentVec: creating sentence embeddings for biomedical texts
Risk-sharing Contracts with Asymmetric Information
Towards a Logical Analysis of Misleading and Trust Erosion
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification