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ORCIDDeeksha Arya
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2020 – today
- 2024
[j4]Teena Sharma
, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya:
Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada. IEEE Access 12: 13648-13662 (2024)- [j3]Teena Sharma, Abdellah Chehri, Issouf Fofana, Shubham Jadhav, Siddhartha Khare, Benoit Debaque, Nicolas Duclos-Hindie, Deeksha Arya:
Corrections to "Deep Learning-Based Object Detection and Classification for Autonomous Vehicles in Different Weather Scenarios of Quebec, Canada". IEEE Access 12: 158798 (2024) - [j2]Deeksha Arya, Hiroya Maeda, Yoshihide Sekimoto:
From global challenges to local solutions: A review of cross-country collaborations and winning strategies in road damage detection. Adv. Eng. Informatics 60: 102388 (2024) - [j1]Poonam Kumari Saha, Deeksha Arya, Yoshihide Sekimoto:
Federated learning-based global road damage detection. Comput. Aided Civ. Infrastructure Eng. 39(14): 2223-2238 (2024) - [c7]Shubham Kumar Dwivedi, Deeksha Arya, Yoshihide Sekimoto:
Enhanced Road Damage Detection with Federated Learning Across Diverse and Heterogeneous Global Datasets. SIGSPATIAL/GIS 2024: 711-712 - 2023
- [c6]Ling-Feng Liao, Deeksha Arya, Yoshihide Sekimoto:
Unveiling the Road Matrix: Development of Versatile Pavement Surface Models from Low-resolution Aerial Images. IEEE Big Data 2023: 738-747 - [c5]Zhehui Yang, Deeksha Arya, Chenbo Zhao, Hiroya Maeda, Yoshihide Sekimoto:
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management. ITSC 2023: 732-737 - 2022
- [c4]Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal:
AI-Driven Road Condition Monitoring across Multiple Nations. AAAI 2022: 12868-12869 - [c3]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. IEEE Big Data 2022: 1362-1368 - [c2]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). IEEE Big Data 2022: 6378-6386 - [i5]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Yoshihide Sekimoto:
RDD2022: A multi-national image dataset for automatic Road Damage Detection. CoRR abs/2209.08538 (2022) - [i4]Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar, Hiroya Maeda, Yoshihide Sekimoto:
Road Rutting Detection using Deep Learning on Images. CoRR abs/2209.14225 (2022) - [i3]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022). CoRR abs/2211.11362 (2022) - 2020
- [c1]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. IEEE BigData 2020: 5533-5539 - [i2]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto:
Transfer Learning-based Road Damage Detection for Multiple Countries. CoRR abs/2008.13101 (2020) - [i1]Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto:
Global Road Damage Detection: State-of-the-art Solutions. CoRR abs/2011.08740 (2020)
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