Lidar snowfall simulation for robust 3d object detection
Abstract 3D object detection is a central task for applications such as autonomous driving, in
which the system needs to localize and classify surrounding traffic agents, even in the …
which the system needs to localize and classify surrounding traffic agents, even in the …
Learning-based real-time imaging through dynamic scattering media
Imaging through dynamic scattering media is one of the most challenging yet fascinating
problems in optics, with applications spanning from biological detection to remote sensing …
problems in optics, with applications spanning from biological detection to remote sensing …
Weatherstream: Light transport automation of single image deweathering
Today single image deweathering is arguably more sensitive to the dataset type, rather than
the model. We introduce WeatherStream, an automatic pipeline capturing all real-world …
the model. We introduce WeatherStream, an automatic pipeline capturing all real-world …
Scatternerf: Seeing through fog with physically-based inverse neural rendering
Vision in adverse weather conditions, whether it be snow, rain, or fog is challenging. In these
scenarios, scattering and attenuation severly degrades image quality. Handling such …
scenarios, scattering and attenuation severly degrades image quality. Handling such …
Panopticroad: Integrated panoptic road segmentation under adversarial conditions
H Sakaino - Proceedings of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Segmentation becomes one of the most important methods for scene understanding.
Segmentation plays a central role in recognizing things and stuff in a scene. Among all …
Segmentation plays a central role in recognizing things and stuff in a scene. Among all …
[PDF][PDF] Neural Photo-Finishing.
Researchers have proposed several automatic photo-finishing techniques; however, they all
have limitations that prevent widespread adoption. Early machine learning approaches to …
have limitations that prevent widespread adoption. Early machine learning approaches to …
Image-to-image translation for autonomous driving from coarsely-aligned image pairs
A self-driving car must be able to reliably handle adverse weather conditions (eg, snowy) to
operate safely. In this paper, we investigate the idea of turning sensor inputs (ie, images) …
operate safely. In this paper, we investigate the idea of turning sensor inputs (ie, images) …
Single scattering models for radiative transfer of isotropic and cone-shaped light sources in fog
S Geiger, A Liemert, D Reitzle, M Bijelic… - Optics …, 2022 - opg.optica.org
The simulation of rare edge cases such as adverse weather conditions is the enabler for the
deployment of the next generation of autonomous drones and vehicles into conditions …
deployment of the next generation of autonomous drones and vehicles into conditions …
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection
Monocular 3D object detection is an important challenging task in autonomous driving.
Existing methods mainly focus on performing 3D detection in ideal weather conditions …
Existing methods mainly focus on performing 3D detection in ideal weather conditions …
CMEFusion: Cross-Modal Enhancement and Fusion of FIR and Visible Images
X Tong, X Luo, J Yang, Y Cao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The fusion of far infrared (FIR) and visible images aims to generate a high-quality composite
image that contains salient structures and abundant texture details for human visual …
image that contains salient structures and abundant texture details for human visual …