Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
Ntire 2020 challenge on nonhomogeneous dehazing
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images
(restoration of rich details in hazy image). We focus on the proposed solutions and their …
(restoration of rich details in hazy image). We focus on the proposed solutions and their …
NTIRE 2024 dense and non-homogeneous dehazing challenge report
This study examines the results of the NTIRE 2024 Challenge on Dense and Non-
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
Multi-scale boosted dehazing network with dense feature fusion
In this paper, we propose a Multi-Scale Boosted Dehazing Network with Dense Feature
Fusion based on the U-Net architecture. The proposed method is designed based on two …
Fusion based on the U-Net architecture. The proposed method is designed based on two …
Deep learning for image super-resolution: A survey
Image Super-Resolution (SR) is an important class of image processing techniqueso
enhance the resolution of images and videos in computer vision. Recent years have …
enhance the resolution of images and videos in computer vision. Recent years have …
Ultra-high-definition image dehazing via multi-guided bilateral learning
Convolutional neural networks (CNNs) have achieved significant success in the single
image dehazing task. Unfortunately, most existing deep dehazing models have high …
image dehazing task. Unfortunately, most existing deep dehazing models have high …
Residual non-local attention networks for image restoration
In this paper, we propose a residual non-local attention network for high-quality image
restoration. Without considering the uneven distribution of information in the corrupted …
restoration. Without considering the uneven distribution of information in the corrupted …
Residual dense network for image super-resolution
In this paper, we propose dense feature fusion (DFF) for image super-resolution (SR). As the
same content in different natural images often have various scales and angles of view …
same content in different natural images often have various scales and angles of view …
NH-HAZE: An image dehazing benchmark with non-homogeneous hazy and haze-free images
Image dehazing is an ill-posed problem that has been extensively studied in the recent
years. The objective performance evaluation of the dehazing methods is one of the major …
years. The objective performance evaluation of the dehazing methods is one of the major …
Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather
The fusion of multimodal sensor streams, such as camera, lidar, and radar measurements,
plays a critical role in object detection for autonomous vehicles, which base their decision …
plays a critical role in object detection for autonomous vehicles, which base their decision …