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Deeksha Arya, Ph.D.
Deeksha Arya, Ph.D.
The University of Tokyo Japan
Verified email at iis.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Deep learning-based road damage detection and classification for multiple countries
D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ...
Automation in Construction 132, 103935, 2021
1182021
Global road damage detection: State-of-the-art solutions
D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ...
2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020
1112020
RDD2020: An annotated image dataset for automatic road damage detection using deep learning
D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto
Data in brief 36, 107133, 2021
982021
Transfer learning-based road damage detection for multiple countries
D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ...
arXiv preprint arXiv:2008.13101, 2020
962020
Rdd2022: A multi-national image dataset for automatic road damage detection
D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto
arXiv preprint arXiv:2209.08538, 2022
512022
Crowdsensing-based road damage detection challenge (CRDDC’2022)
D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ...
2022 IEEE International Conference on Big Data (Big Data), 6378-6386, 2022
192022
Rdd2020: an image dataset for smartphone-based road damage detection and classification
D Arya, H Maeda, S Ghosh, D Toshniwal, H Omata, T Kashiyama, T Seto, ...
Mendel. Data 1, 2021
182021
Priority based service broker policy for fog computing environment
D Arya, M Dave
Advanced Informatics for Computing Research: First International Conference …, 2017
162017
Constructions of punctured difference set pairs and their corresponding punctured binary array pairs
KT Arasu, D Arya, A Bakshi
IEEE Transactions on Information Theory 61 (4), 2191-2199, 2015
132015
Security-based service broker policy for FOG computing environment
D Arya, M Dave
2017 8th International Conference on Computing, Communication and Networking …, 2017
102017
RDD2022-The multi-national Road Damage Dataset released through CRDDC’2022
D Arya, H Maeda, Y Sekimoto, H Omata, SK Ghosh, D Toshniwal, ...
figshare 10 (https://doi.org/10.6084/m9.figshare.2143), 2022
92022
Road Rutting Detection using Deep Learning on Images
PK Saha, D Arya, A Kumar, H Maeda, Y Sekimoto
2022 IEEE International Conference on Big Data (Big Data), 1362-1368, 2022
42022
Automatic recognition of road cracks using sobel components in digital images
D Arya, SK Ghosh, D Toshniwal
Conference of Transportation Research Group of India, 139-149, 2021
32021
Ai-driven road condition monitoring across multiple nations
D Arya, SK Ghosh, D Toshniwal
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12868 …, 2022
22022
Machine Learning-based Road Condition Assessment using Remote Sensing Data
D Arya
ArasuFest: Sequences, Codes and Designs, 2019
22019
Comparative analysis of punctured sequence pairs for frame synchronization applications
KT Arasu, D Arya, D Kedia
2016 International Conference on Computational Techniques in Information and …, 2016
22016
Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada
T Sharma, A Chehri, I Fofana, S Jadhav, S Khare, B Debaque, N Duclos, ...
IEEE Access, 2024
12024
On a class of difference set pairs
A Bakshi, D Arya
ACM Communications in Computer Algebra 49 (1), 17-17, 2015
12015
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection
D Arya, H Maeda, Y Sekimoto
Advanced Engineering Informatics 60, 102388, 2024
2024
Federated learning–based global road damage detection
PK Saha, D Arya, Y Sekimoto
Computer‐Aided Civil and Infrastructure Engineering, 2024
2024
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