Perception and sensing for autonomous vehicles under adverse weather conditions: A survey

Y Zhang, A Carballo, H Yang, K Takeda - ISPRS Journal of …, 2023 - Elsevier
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 …

Ntire 2020 challenge on nonhomogeneous dehazing

CO Ancuti, C Ancuti, FA Vasluianu… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

Multi-scale boosted dehazing network with dense feature fusion

H Dong, J Pan, L Xiang, Z Hu… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

Deep learning for image super-resolution: A survey

Z Wang, J Chen, SCH Hoi - IEEE transactions on pattern …, 2020 - ieeexplore.ieee.org
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 …

Ultra-high-definition image dehazing via multi-guided bilateral learning

Z Zheng, W Ren, X Cao, X Hu, T Wang… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have achieved significant success in the single
image dehazing task. Unfortunately, most existing deep dehazing models have high …

NTIRE 2024 dense and non-homogeneous dehazing challenge report

CO Ancuti, C Ancuti, FA Vasluianu… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

Residual non-local attention networks for image restoration

Y Zhang, K Li, K Li, B Zhong, Y Fu - arXiv preprint arXiv:1903.10082, 2019 - arxiv.org
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 …

Residual dense network for image super-resolution

Y Zhang, Y Tian, Y Kong… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

NH-HAZE: An image dehazing benchmark with non-homogeneous hazy and haze-free images

CO Ancuti, C Ancuti, R Timofte - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
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 …

Seeing through fog without seeing fog: Deep multimodal sensor fusion in unseen adverse weather

M Bijelic, T Gruber, F Mannan… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …