:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Qian, Chenghao, Rezaei, Mahdi, Anwar, Saeed, Li, Wenjing, Hussain, Tanveer, Azarmi, Mohsen, Wang, Wei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2409.02045
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Driver-Net: Multi-Camera Fusion for Assessing Driver Take-Over Readiness in Automated Vehicles
by: Rezaei, Mahdi, et al.
Published: (2025)

PIP-Net: Pedestrian Intention Prediction in the Wild
by: Azarmi, Mohsen, et al.
Published: (2024)

Pedestrian Intention Prediction via Vision-Language Foundation Models
by: Azarmi, Mohsen, et al.
Published: (2025)

Evaluating Driver Readiness in Conditionally Automated Vehicles from Eye-Tracking Data and Head Pose
by: Kazemi, Mostafa, et al.
Published: (2024)

WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian Splatting
by: Qian, Chenghao, et al.
Published: (2024)

Feature Importance in Pedestrian Intention Prediction: A Context-Aware Review
by: Azarmi, Mohsen, et al.
Published: (2024)

WeatherEdit: Controllable Weather Editing with 4D Gaussian Field
by: Qian, Chenghao, et al.
Published: (2025)

WeatherDG: LLM-assisted Diffusion Model for Procedural Weather Generation in Domain-Generalized Semantic Segmentation
by: Qian, Chenghao, et al.
Published: (2024)

Generalizable Autonomous Driving System across Diverse Adverse Weather Conditions
by: Kou, Wei-Bin, et al.
Published: (2024)

CADENet: Condition-Adaptive Asynchronous Dual-Stream Enhancement Network for Adverse Weather Perception in Autonomous Driving
by: Khairy, Sherif, et al.
Published: (2026)

WeatherBench: A Real-World Benchmark Dataset for All-in-One Adverse Weather Image Restoration
by: Guan, Qiyuan, et al.
Published: (2025)

RoSe: Robust Self-supervised Stereo Matching under Adverse Weather Conditions
by: Wang, Yun, et al.
Published: (2025)

A-BDD: Leveraging Data Augmentations for Safe Autonomous Driving in Adverse Weather and Lighting
by: Assion, Felix, et al.
Published: (2024)

LIORNet: Self-Supervised LiDAR Snow Removal Framework for Autonomous Driving under Adverse Weather Conditions
by: Park, Ji-il, et al.
Published: (2026)

ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions
by: Huang, Wenfeng, et al.
Published: (2024)

Adverse Weather-Independent Framework Towards Autonomous Driving Perception through Temporal Correlation and Unfolded Regularization
by: Kou, Wei-Bin, et al.
Published: (2025)

WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression
by: Qu, Weikai, et al.
Published: (2026)

TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restoration
by: Wang, Hsing-Hua, et al.
Published: (2024)

Unifying Physically-Informed Weather Priors in A Single Model for Image Restoration Across Multiple Adverse Weather Conditions
by: Xu, Jiaqi, et al.
Published: (2026)

USRNet: Unified Scene Recovery Network for Enhancing Traffic Imaging under Multiple Adverse Weather Conditions
by: Lu, Yuxu, et al.
Published: (2025)

Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network Structure
by: Cheng, De, et al.
Published: (2024)

SemiDDM-Weather: A Semi-supervised Learning Framework for All-in-one Adverse Weather Removal
by: Long, Fang, et al.
Published: (2024)

WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
by: Gella, Blake, et al.
Published: (2024)

Robustness of Object Detection of Autonomous Vehicles in Adverse Weather Conditions
by: Pettersen, Fox, et al.
Published: (2026)

LRC-WeatherNet: LiDAR, RADAR, and Camera Fusion Network for Real-time Weather-type Classification in Autonomous Driving
by: Albashir, Nour Alhuda, et al.
Published: (2026)

YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
by: Li, Xiguang, et al.
Published: (2024)

Traffic Image Restoration under Adverse Weather via Frequency-Aware Mamba
by: Pan, Liwen, et al.
Published: (2025)

Raci-Net: Ego-vehicle Odometry Estimation in Adverse Weather Conditions
by: Talebi, Mohammadhossein, et al.
Published: (2025)

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers
by: Zhang, Wei, et al.
Published: (2025)

WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
by: Wang, Jiyuan, et al.
Published: (2023)

Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather Removal
by: Chen, Yu-Wei, et al.
Published: (2023)

Multi-Echo Denoising in Adverse Weather
by: Seppänen, Alvari, et al.
Published: (2023)

Restoring Images in Adverse Weather Conditions via Histogram Transformer
by: Sun, Shangquan, et al.
Published: (2024)

BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
by: Anantrasirichai, Nantheera, et al.
Published: (2024)

Enhancing Autonomous Vehicle Perception in Adverse Weather through Image Augmentation during Semantic Segmentation Training
by: Kou, Ethan, et al.
Published: (2024)

UMDATrack: Unified Multi-Domain Adaptive Tracking Under Adverse Weather Conditions
by: Yao, Siyuan, et al.
Published: (2025)

Removing Multiple Hybrid Adverse Weather in Video via a Unified Model
by: Wan, Yecong, et al.
Published: (2025)

ERUP-YOLO: Enhancing Object Detection Robustness for Adverse Weather Condition by Unified Image-Adaptive Processing
by: Ogino, Yuka, et al.
Published: (2024)

Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
by: Li, Boying, et al.
Published: (2025)

WM-MoE: Weather-aware Multi-scale Mixture-of-Experts for Blind Adverse Weather Removal
by: Luo, Yulin, et al.
Published: (2023)