research
∙
03/15/2023
Strong Baseline and Bag of Tricks for COVID-19 Detection of CT Scans
This paper investigates the application of deep learning models for lung...
share
research
∙
07/04/2022
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans
Computed tomography (CT) imaging could be very practical for diagnosing ...
research
∙
02/16/2022
ADAM Challenge: Detecting Age-related Macular Degeneration from Fundus Images
Age-related macular degeneration (AMD) is the leading cause of visual im...
research
∙
07/12/2021
Visual Transformer with Statistical Test for COVID-19 Classification
With the massive damage in the world caused by Coronavirus Disease 2019 ...
research
∙
07/17/2020
Edge-Preserving Guided Semantic Segmentation for VIPriors Challenge
Semantic segmentation is one of the most attractive research fields in c...
research
∙
11/20/2019
Dual Reconstruction with Densely Connected Residual Network for Single Image Super-Resolution
Deep learning-based single image super-resolution enables very fast and ...
research
∙
11/18/2019
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
This paper reviews the AIM 2019 challenge on real world super-resolution...
research
∙
09/24/2018
Learning to Detect Fake Face Images in the Wild
Although Generative Adversarial Network (GAN) can be used to generate th...
research
∙
09/24/2018
An Iterative Refinement Approach for Social Media Headline Prediction
In this study, we propose a novel iterative refinement approach to predi...
research
∙
07/22/2018
SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination
Despite generative adversarial networks (GANs) can hallucinate photo-rea...
research
∙
05/19/2017
