research
∙
04/14/2023
A Unified HDR Imaging Method with Pixel and Patch Level
Mapping Low Dynamic Range (LDR) images with different exposures to High ...
share
research
∙
04/14/2023
SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
Generating a high-quality High Dynamic Range (HDR) image from dynamic sc...
research
∙
02/28/2023
GRAN: Ghost Residual Attention Network for Single Image Super Resolution
Recently, many works have designed wider and deeper networks to achieve ...
research
∙
02/14/2023
Take a Prior from Other Tasks for Severe Blur Removal
Recovering clear structures from severely blurry inputs is a challenging...
research
∙
05/25/2022
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
This paper reviews the challenge on constrained high dynamic range (HDR)...
research
∙
02/21/2022
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning
Continual Learning (CL) methods aim to enable machine learning models to...
research
∙
01/15/2021
Non-uniform Motion Deblurring with Blurry Component Divided Guidance
Blind image deblurring is a fundamental and challenging computer vision ...
research
∙
05/20/2020
Attention-based network for low-light image enhancement
The captured images under low light conditions often suffer insufficient...
research
∙
04/23/2020
COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
research
∙
02/17/2020
3D Gated Recurrent Fusion for Semantic Scene Completion
This paper tackles the problem of data fusion in the semantic scene comp...
research
∙
04/23/2019
