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A Novel Semi-Supervised Detection Approach With Weak Annotation., , , and . SSIAI, page 129-132. IEEE Computer Society, (2018)Quantifying the Presence of Graffiti in Urban Environments., , and . BigComp, page 1-4. IEEE, (2019)A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives., , , , , , , , and . Int. J. Comput. Vis., 129 (4): 1301-1322 (2021)17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City., , , , , and . VISIGRAPP (4: VISAPP), page 968-975. SCITEPRESS, (2022)A New Approach for Pedestrian Density Estimation Using Moving Sensors and Computer Vision., , , , , , and . ACM Trans. Spatial Algorithms Syst., 6 (4): 26:1-26:20 (2020)Sidewalk Measurements from Satellite Images: Preliminary Findings., , , , , , and . CoRR, (2021)Unraveling the graph structure of tabular datasets through Bayesian and spectral analysis., , and . CoRR, (2021)The Future of Urban Accessibility for People with Disabilities: Data Collection, Analytics, Policy, and Tools., , , , , , , , , and 18 other author(s). ASSETS, page 102:1-102:8. ACM, (2022)Quantifying the presence of graffiti in urban environments., , and . CoRR, (2019)Exposing computer generated images by using deep convolutional neural networks., , , , and . Signal Process. Image Commun., (2018)