StreetLens-Reference-Cited by-同舟云学术

StreetLens

Published:2024-04-15 Issue: Volume:12 Page:415-421
ISSN:
Container-title:Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ
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Author:

Jabal Amani Abu¹^ORCID,Alfarrarjeh Abdullah¹^ORCID,Alsaggar Suhib¹^ORCID,AbuRumman Ruba¹^ORCID,Abuqaoud Kareem¹^ORCID,Abuhejleh Loujin¹^ORCID,Almatar Ibrahim¹^ORCID,Kim Seon Ho²^ORCID

Affiliation:

1. Department of Computer Science, German Jordanian University, Amman, Jordan

2. Integrated Media Systems Center, University of Southern California, Los Angeles, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3625468.3652188

Reference33 articles.

1. Abdullah Alfarrarjeh, Seon Ho Kim, Sumeet Agrawal, Meghana Ashok, Su Young Kim, and Cyrus Shahabi. 2018. Image classification to determine the level of street cleanliness: A case study. In 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM). IEEE, 1--5.

2. Abdullah Alfarrarjeh, Seon Ho Kim, Utkarsh Baranwal, and Yash Bitla. 2023. Object Detection and Counting Challenges in Real Street Monitoring: Case Study of Homeless Encampments. In 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2785--2789.

3. Abdullah Alfarrarjeh, Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, and Cyrus Shahabi. 2019. Recognizing material of a covered object: A case study with graffiti. In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2491--2495.

4. Abdullah Alfarrarjeh, Dweep Trivedi, Seon Ho Kim, and Cyrus Shahabi. 2018. A deep learning approach for road damage detection from smartphone images. In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 5201--5204.

5. Andres Angulo, Juan Antonio Vega-Fernández, Lina Maria Aguilar-Lobo, Shailendra Natraj, and Gilberto Ochoa-Ruiz. 2019. Road damage detection acquisition system based on deep neural networks for physical asset management. In Advances in Soft Computing: 18th Mexican International Conference on Artificial Intelligence, MICAI 2019, Xalapa, Mexico, October 27-November 2, 2019, Proceedings 18. Springer, 3--14.