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07/31/2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging
Federated Learning (FL) is an evolving machine learning method in which ...
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03/14/2023
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Accurate morphological classification of white blood cells (WBCs) is an ...
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10/19/2022
Real Image Super-Resolution using GAN through modeling of LR and HR process
The current existing deep image super-resolution methods usually assume ...
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10/25/2021
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network
Modern digital cameras and smartphones mostly rely on image signal proce...
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07/07/2021
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution
Recently, most of state-of-the-art single image super-resolution (SISR) ...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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09/15/2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
This paper reviews the AIM 2020 challenge on efficient single image supe...
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09/07/2020
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution
Deep convolutional neural networks (CNNs) have recently achieved great s...
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09/07/2020
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
Recent deep learning based single image super-resolution (SISR) methods ...
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05/03/2020
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
Most current deep learning based single image super-resolution (SISR) me...
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09/09/2019
