Fetching the paper…
Reading the bibliography…
Tackling Urban Physical Disorder (e.g., abandoned buildings, litter, messy vegetation, graffiti) is essential, as it negatively impacts the safety, well-being, and psychological state of communities.
R. J. Sampson, S. W. Raudenbush, Systematic social observation of public spaces: A new look at disorder in urban neighborhoods, American journal of sociology 105 (3) (1999) 603–651
1999
Earlier work this paper cites.
J. Accordino, G. T. Johnson, Addressing the vacant and abandoned property problem, Journal of Urban Affairs 22 (3) (2000) 301–315
2000
Earlier work this paper cites.
R. J. Sampson, S. W. Raudenbush, Disorder in urban neighborhoods: Does it lead to crime, US Department of Justice, Office of Justice Programs, National Institute of …, 2001
2001
Earlier work this paper cites.
G. Lindsey, M. Maraj, S. Kuan, Access, equity, and urban greenways: An exploratory investigation, The professional geographer 53 (3) (2001) 332–346
2001
Earlier work this paper cites.
C. E. Ross, J. Mirowsky, Neighborhood disadvantage, disorder, and health, Journal of health and social behavior (2001) 258–276
2001
Earlier work this paper cites.
F. E. Kuo, W. C. Sullivan, Environment and crime in the inner city: Does vegetation reduce crime?, Environment and behavior 33 (3) (2001) 343–367
2001
Earlier work this paper cites.
doi:10.1080/01944360208976274
P. Waddell, Urbansim: Modeling urban development for land use, transportation, and environmental planning, Journal of the American Planning Association 68 (3) (2002) 297–314 · 2002
Earlier work this paper cites.
C. A. Latkin, A. D. Curry, Stressful neighborhoods and depression: a prospective study of the impact of neighborhood disorder, Journal of health and social behavior (2003) 34–44
2003
Earlier work this paper cites.
S. De Vries, R. A. Verheij, P. P. Groenewegen, P. Spreeuwenberg, Natural environments—healthy environments? an exploratory analysis of the relationship between greenspace and health, Environment and planning A 35 (10) (2003) 1717–1731
2003
Earlier work this paper cites.
A. F. Taylor, F. E. Kuo, Is contact with nature important for healthy child development? state of the evidence. (2006)
2006
Earlier work this paper cites.
J. B. Sprott, A. N. Doob, The effect of urban neighborhood disorder on evaluations of the police and courts, Crime & Delinquency 55 (3) (2009) 339–362
2009
Earlier work this paper cites.
D. Anguelov, C. Dulong, D. Filip, C. Frueh, S. Lafon, R. Lyon, A. Ogale, L. Vincent, J. Weaver, Google street view: Capturing the world at street level, Computer 43 (6) (2010) 32–38
2010
Earlier work this paper cites.
M. Jones, A. R. Pebley, N. Sastry, Eyes on the block: Measuring urban physical disorder through in-person observation, Social Science Research 40 (2) (2011) 523–537
2011
Earlier work this paper cites.
A. G. Rundle, M. D. Bader, C. A. Richards, K. M. Neckerman, J. O. Teitler, Using google street view to audit neighborhood environments, American journal of preventive medicine 40 (1) (2011) 94–100
2011
Earlier work this paper cites.
C. C. Branas, R. A. Cheney, J. M. MacDonald, V. W. Tam, T. D. Jackson, T. R. Ten Have, A difference-in-differences analysis of health, safety, and greening vacant urban space, American journal of epidemiology 174 (11) (2011) 1296–1306
2011
Earlier work this paper cites.
A. Dassopoulos, C. D. Batson, R. Futrell, B. G. Brents, Neighborhood connections, physical disorder, and neighborhood satisfaction in las vegas, Urban Affairs Review 48 (4) (2012) 571–600
2012
Earlier work this paper cites.
G. H. Donovan, J. P. Prestemon, The effect of trees on crime in portland, oregon, Environment and behavior 44 (1) (2012) 3–30
2012
Earlier work this paper cites.
E. E. Bjornstrom, M. L. Ralston, D. C. Kuhl, Social cohesion and self-rated health: the moderating effect of neighborhood physical disorder, American journal of community psychology 52 (2013) 302–312
2013
Earlier work this paper cites.
K. Hara, V. Le, J. Froehlich, Combining crowdsourcing and google street view to identify street-level accessibility problems, in: Proceedings of the SIGCHI conference on human factors in computing systems, 2013, pp. 631–640
2013
Earlier work this paper cites.
N. Naik, J. Philipoom, R. Raskar, C. Hidalgo, Streetscore-predicting the perceived safety of one million streetscapes, in: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, 2014, pp. 779–785
2014
Cited alongside, same era.
D. Quercia, N. K. O’Hare, H. Cramer, Aesthetic capital: what makes london look beautiful, quiet, and happy?, in: Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing, 2014, pp. 945–955
2014
Cited alongside, same era.
X. Li, C. Zhang, W. Li, R. Ricard, Q. Meng, W. Zhang, Assessing street-level urban greenery using google street view and a modified green view index, Urban Forestry & Urban Greening 14 (3) (2015) 675–685
2015
Cited alongside, same era.
M. Benkő, T. Germán, Crime prevention aspects of public space renewal in budapest, Journal of Place Management and Development 9 (2) (2016) 191–209
2016
Cited alongside, same era.
E. Ntavelis, A. Romero, I. Kastanis, L. Van Gool, R. Timofte, Sesame: Semantic editing of scenes by adding, manipulating or erasing objects, in: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXII 16, Springer, 2020, pp. 394–411
2020
Later among the works it cites.
W. Min, S. Mei, L. Liu, Y. Wang, S. Jiang, Multi-task deep relative attribute learning for visual urban perception, IEEE Transactions on Image Processing 29 (1) (2020) 657–669
2020
Later among the works it cites.
J. Roe, A. Mondschein, C. Neale, L. Barnes, M. Boukhechba, S. Lopez, The urban built environment, walking and mental health outcomes among older adults: a pilot study, Frontiers in public health 8 (2020) 575946
2020
Later among the works it cites.
C.-B. Hu, F. Zhang, F.-Y. Gong, C. Ratti, X. Li, Classification and mapping of urban canyon geometry using google street view images and deep multitask learning, Building and Environment 167 (2020) 106424
2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Dubey, N. Naik, D. Parikh, R. Raskar, C. A. Hidalgo, Deep learning the city: Quantifying urban perception at a global scale, in: Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part I 14, Springer, 2016, pp. 196–212
2016
Cited alongside, same era.
2016
Cited alongside, same era.
T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, E. L. Aiden, L. Fei-Fei, Using deep learning and google street view to estimate the demographic makeup of neighborhoods across the united states, Proceedings of the National Academy of Sciences 114 (50) (2017) 13108–13113
2017
Cited alongside, same era.
J. Q. Wilson, G. L. Kelling, The police and neighborhood safety broken windows, in: Social, Ecological and Environmental Theories of Crime, Routledge, 2017, pp. 169–178
2017
Cited alongside, same era.
M. K. Ng, Urban renewal, sense of community and social capital: a case study of two neighbourhoods in hong kong, Urban renewal, community and participation: Theory, policy and practice (2018) 1–23
2018
Cited alongside, same era.
F. Zhang, B. Zhou, L. Liu, Y. Liu, H. H. Fung, H. Lin, C. Ratti, Measuring human perceptions of a large-scale urban region using machine learning, Landscape and Urban Planning 180 (2018) 148–160
2018
Cited alongside, same era.
S. Hong, X. Yan, T. S. Huang, H. Lee, Learning hierarchical semantic image manipulation through structured representations, Advances in Neural Information Processing Systems 31 (2018)
2018
Cited alongside, same era.
R. Wang, Y. Liu, Y. Lu, J. Zhang, P. Liu, Y. Yao, G. Grekousis, Perceptions of built environment and health outcomes for older chinese in beijing: A big data approach with street view images and deep learning technique, Computers, Environment and Urban Systems 78 (2019) 101386
2019
Cited alongside, same era.
Later among the works it cites.
A. Larkin, X. Gu, L. Chen, P. Hystad, Predicting perceptions of the built environment using gis, satellite and street view image approaches, Landscape and urban planning 216 (2021) 104257
2021
Later among the works it cites.
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, B. Ommer, High-resolution image synthesis with latent diffusion models (2021) · 2021
Later among the works it cites.
A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al., Learning transferable visual models from natural language supervision, in: International conference on machine learning, PMLR, 2021, pp. 8748–8763
2021
Later among the works it cites.
2022
Later among the works it cites.
V. Liu, L. B. Chilton, Design guidelines for prompt engineering text-to-image generative models, in: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022, pp. 1–23
2022
Later among the works it cites.
2022
Later among the works it cites.
C. Hu, S. Jia, F. Zhang, X. Li, A saliency-guided street view image inpainting framework for efficient last-meters wayfinding, ISPRS Journal of Photogrammetry and Remote Sensing 195 (2023) 365–379
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
C. Hu, S. Jia, F. Zhang, C. Xiao, M. Ruan, J. Thrasher, X. Li, Updexplainer: An interpretable transformer-based framework for urban physical disorder detection using street view imagery, ISPRS Journal of Photogrammetry and Remote Sensing 204 (2023) 209–222
2023
Later among the works it cites.
S. Jia, R. Lyu, K. Zhao, Y. Chen, Z. Yan, Y. Ju, C. Hu, X. Li, B. Wu, S. Lyu, Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024, pp. 4324–4333
2024
Closest in time.