Global Road Damage Detection: State-of-the-art Solutions. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2020)

Transfer Learning-based Road Damage Detection for Multiple Countries. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Alexander Mraz; Takehiro Kashiyama; Yoshihide Sekimoto (CoRR, 2020)

AI-Driven Road Condition Monitoring across Multiple Nations. - Deeksha Arya; Sanjay Kumar Ghosh; Durga Toshniwal (AAAI, 2022)

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE Big Data, 2022)

Road Rutting Detection using Deep Learning on Images. - Poonam Kumari Saha; Deeksha Arya; Ashutosh Kumar; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2022)

RDD2022: A multi-national image dataset for automatic Road Damage Detection. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Yoshihide Sekimoto (CoRR, 2022)

Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. - Ling-Feng Liao; Deeksha Arya; Yoshihide Sekimoto (IEEE Big Data, 2023)

Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. - Zhehui Yang; Deeksha Arya; Chenbo Zhao; Hiroya Maeda; Yoshihide Sekimoto (ITSC, 2023)

ORDDC'2024: State of the art Solutions for Optimized Road Damage Detection. - Deeksha Arya; Hiroshi Omata; Hiroya Maeda; Yoshihide Sekimoto (IEEE Big Data, 2024)

Enhanced Road Damage Detection with Federated Learning Across Diverse and Heterogeneous Global Datasets. - Shubham Kumar Dwivedi; Deeksha Arya; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2024)

Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada. - Teena Sharma; Abdellah Chehri; Issouf Fofana; Shubham Jadhav; Siddhartha Khare; Benoit Debaque; Nicolas Duclos-Hindie; Deeksha Arya (IEEE Access, 2024)

Corrections to "Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada". - Teena Sharma; Abdellah Chehri; Issouf Fofana; Shubham Jadhav; Siddhartha Khare; Benoit Debaque; Nicolas Duclos-Hindie; Deeksha Arya (IEEE Access, 2024)

From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. - Deeksha Arya; Hiroya Maeda; Yoshihide Sekimoto (Adv. Eng. Informatics, 2024)

Federated learning-based global road damage detection. - Poonam Kumari Saha; Deeksha Arya; Yoshihide Sekimoto (Comput. Aided Civ. Infrastructure Eng., 2024)