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Quantifying the presence of graffiti in urban environments., , and . CoRR, (2019)The Impact of Real Rain in a Vision Task., , and . ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 291-298. Springer, (2020)A Novel Semi-Supervised Detection Approach With Weak Annotation., , , and . SSIAI, page 129-132. IEEE Computer Society, (2018)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)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 . BigComp, page 1-4. IEEE, (2019)17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City., , , , , and . VISIGRAPP (4: VISAPP), page 968-975. SCITEPRESS, (2022)Identificação automática de pichação a partir de imagens urbanas., , and . CoRR, (2018)Single Image Deraining: A Comprehensive Benchmark Analysis., , , , , , , , , and . CVPR, page 3838-3847. Computer Vision Foundation / IEEE, (2019)A new approach for pedestrian density estimation using moving sensors and computer vision., , , , , , and . CoRR, (2018)