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GSISTA-Net: generalized structure ISTA networks for image compressed sensing based on optimized unrolling algorithm
Image compressed sensing technology, particularly algorithm unrolling networks, has garnered significant attention in the field of compressed sensing...
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Deep Physics-Guided Unrolling Generalization for Compressed Sensing
By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable...
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Blind inverse light transport using unrolling network
Passive Non-Line-Of-Sight (NLOS) imaging techniques have drawn increasing attention for their ability to recover hidden objects that are not visible...
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Adaptive Low-Light Image Enhancement Optimization Framework with Algorithm Unrolling
Images captured in a dark environment may cause low visibility and lose significant details leading to poor performance of vision-based recognition...
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Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing
Map** a truncated optimization method into a deep neural network, deep proximal unrolling network has attracted attention in compressive sensing...
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MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction
The goal of this study is to reconstruct a high-quality computed tomography (CT) image from low-dose acquisition using an unrolling deep...
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FISTA-CSNet: a deep compressed sensing network by unrolling iterative optimization algorithm
In order to fast sample an image and accurately reconstruct the image from a small amount of sampled data, we design a novel deep network for...
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Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling
Steepest descent algorithms, which are commonly used in deep learning, use the gradient as the descent direction, either as-is or after a direction...
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Enhanced Shor’s algorithm with quantum circuit optimization
Most researchers in the field of cryptography are very aware of attack possibilities from quantum computers. Large integer factorization remains a...
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Learning Unrolling-Based Neural Network for Magnetic Resonance Imaging Reconstruction
Accelerated magnetic resonance imaging (MRI) based on neural networks is an effective solution for fast MRI reconstruction, producing competitive...
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A CUDA-based parallel optimization method for SM3 hash algorithm
Hash algorithms are among the most crucial algorithms in cryptography. The SM3 algorithm is a hash cryptographic standard of China. Because of the...
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Explaining image enhancement black-box methods through a path planning based algorithm
Nowadays, image-to-image translation methods, are the state of the art for the enhancement of natural images. Even if they usually show high...
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Genetic Algorithm Augmented Inception-Net based Image Classifier Accelerated on FPGA
Deep learning models for computer vision applications specifically and for machine learning generally are now the state of the art. The growth of...
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Towards ASIP Architecture-Driven Algorithm Development
Application-Specific Instruction-set Processors (ASIP) are ideal for realizing physical layer signal processing algorithms in communication systems...
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Enhanced OpenMP Algorithm to Compute All-Pairs Shortest Path on X86 Architectures
Graphs have become a key tool when modeling and solving problems in different areas. The Floyd-Warshall (FW) algorithm computes the shortest path...
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Automatic generation of ARM NEON micro-kernels for matrix multiplication
General matrix multiplication ( gemm ) is a fundamental kernel in scientific computing and current frameworks for deep learning. Modern realisations of gemm...
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Atomistic simulation of low-dimensional nanostructures toward extreme-scale supercomputing
Large-scale atomistic simulation of low-dimensional silicon nanostructures has been implemented on a heterogeneous supercomputer equipped with a...
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Implementation and Analysis of Convolution Image Filtering with RISC-V Based Architecture
Convolution image filtering technique has been extensively used in image processing applications for sharpening the image, detecting the edges,...
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Learned Alternating Minimization Algorithm for Dual-Domain Sparse-View CT Reconstruction
We propose a novel Learned Alternating Minimization Algorithm (LAMA) for dual-domain sparse-view CT image reconstruction. LAMA is naturally induced...
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Combining Internal and External Constraints for Unrolling Shutter in Videos
Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene...