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04/23/2020
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
In this paper, we tackle a fully unsupervised super-resolution problem, ...
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04/01/2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Data augmentation is an effective way to improve the performance of deep...
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02/23/2020
Reliable Fidelity and Diversity Metrics for Generative Models
Devising indicative evaluation metrics for the image generation task rem...
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12/04/2019
StarGAN v2: Diverse Image Synthesis for Multiple Domains
A good image-to-image translation model should learn a mapping between d...
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10/15/2019
Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling
We propose a generic confidence-based approximation that can be plugged ...
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03/23/2019
Photorealistic Style Transfer via Wavelet Transforms
Recent style transfer models have provided promising artistic results. H...
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02/22/2019
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
Answerer in Questioner's Mind (AQM) is an information-theoretic framewor...
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12/21/2018
Multi-Domain Processing via Hybrid Denoising Networks for Speech Enhancement
We present a hybrid framework that leverages the trade-off between tempo...
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04/02/2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks
Accelerated magnetic resonance (MR) scan acquisition with compressed sen...
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02/27/2018
A Mathematical Framework for Deep Learning in Elastic Source Imaging
An inverse elastic source problem with sparse measurements is of concern...
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12/04/2017
Deep Learning Can Reverse Photon Migration for Diffuse Optical Tomography
Can artificial intelligence (AI) learn complicated non-linear physics? H...
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07/31/2017
Wavelet Residual Network for Low-Dose CT via Deep Convolutional Framelets
Model based iterative reconstruction (MBIR) algorithms for low-dose X-ra...
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03/03/2017
Deep Learning with Domain Adaptation for Accelerated Projection Reconstruction MR
Purpose: A radial k-space trajectory is one of well-established sampling...
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03/03/2017
Deep artifact learning for compressed sensing and parallel MRI
Purpose: Compressed sensing MRI (CS-MRI) from single and parallel coils ...
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11/19/2016
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis
Recently, compressed sensing (CS) computed tomography (CT) using sparse ...
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11/19/2016
