Deeksha Arya

17 papers A* 1B 4Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
Corrections to "Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada".
IEEE Access
Teena Sharma, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya
2024 J jnl
Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada.
IEEE Access
Teena Sharma, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya
2024 — conf
Enhanced Road Damage Detection with Federated Learning Across Diverse and Heterogeneous Global Datasets.
SIGSPATIAL/GIS
Shubham Kumar Dwivedi, Deeksha Arya, Yoshihide Sekimoto
2024 J jnl
Federated learning-based global road damage detection.
Comput. Aided Civ. Infrastructure Eng.
Poonam Kumari Saha, Deeksha Arya, Yoshihide Sekimoto
2024 J jnl
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection.
Adv. Eng. Informatics
Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto
2024 B conf
ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection.
IEEE Big Data
Deeksha Arya, Hiroshi Omata, Hiroya Maeda, Yoshihide Sekimoto
2023 — conf
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management.
ITSC
Zhehui Yang, Deeksha Arya, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto
2023 B conf
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images.
IEEE Big Data
Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto
2022 A* conf
AI-Driven Road Condition Monitoring across Multiple Nations.
AAAI
Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal
2022 B conf
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).
IEEE Big Data
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022).
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
RDD2022: A multi-national image dataset for automatic Road Damage Detection.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto
2022 B conf
Road Rutting Detection using Deep Learning on Images.
IEEE Big Data
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
2022 J jnl
Road Rutting Detection using Deep Learning on Images.
CoRR
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto
2020 — conf
Global Road Damage Detection: State-of-the-art Solutions.
IEEE BigData
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Global Road Damage Detection: State-of-the-art Solutions.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Transfer Learning-based Road Damage Detection for Multiple Countries.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto