image reconstruction

Computational Imaging for VLBI Image Reconstruction CVPR 2016 Deep ADMM-Net for Compressive Sensing MRI NeurIPS 2016 DeepStereo: Learning to Predict New Views From the World's Imagery CVPR 2016 Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras CVPR 2016 Domain Separation Networks NeurIPS 2016 Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity CVPR 2016 Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints CVPR 2016 Heterogeneous Light Fields CVPR 2016 Inverting Visual Representations With Convolutional Networks CVPR 2016 Learning Sensor Multiplexing Design through Back-propagation NeurIPS 2016 Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network CVPR 2016 ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements CVPR 2016 Sensitivity of Quantitative RT-MRI Metrics of Vocal Tract Dynamics to Image Reconstruction Settings Interspeech 2016 Solving Small-Piece Jigsaw Puzzles by Growing Consensus CVPR 2016 State-of-the-Art MRI Protocol for Comprehensive Assessment of Vocal Tract Structure and Function Interspeech 2016 Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff CVPR 2016 Beyond Principal Components: Deep Boltzmann Machines for Face Modeling CVPR 2015 Convolutional Sparse Coding for Image Super-Resolution ICCV 2015 Example-Based Modeling of Facial Texture From Deficient Data ICCV 2015 Fast and Flexible Convolutional Sparse Coding CVPR 2015 FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared CVPR 2015 Handling Motion Blur in Multi-Frame Super-Resolution CVPR 2015 Recovering Inner Slices of Translucent Objects by Multi-Frequency Illumination CVPR 2015 Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015 Rolling Shutter Super-Resolution ICCV 2015