{"id":"https://openalex.org/W2559100081","doi":"https://doi.org/10.1109/tmm.2017.2710804","title":"Image-Based Appraisal of Real Estate Properties","display_name":"Image-Based Appraisal of Real Estate Properties","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2559100081","doi":"https://doi.org/10.1109/tmm.2017.2710804","mag":"2559100081"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2017.2710804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2710804","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1611.09180","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Quanzeng You","orcid":"https://orcid.org/0000-0003-3608-0607"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzeng You","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-3608-0607","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ran Pang","orcid":null},"institutions":[{"id":"https://openalex.org/I1302135459","display_name":"PayPal (United States)","ror":"https://ror.org/016jadm77","country_code":"US","type":"company","lineage":["https://openalex.org/I1302135459"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Pang","raw_affiliation_strings":["PayPaL, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PayPaL, San Jose, CA, USA","institution_ids":["https://openalex.org/I1302135459"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liangliang Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangliang Cao","raw_affiliation_strings":["Electrical Engineering and Computer Sciences Department, Columbia University, New York, NY, USA","customerserviceAI, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Sciences Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"customerserviceAI, New York, NY, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiebo Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":27.1457,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.99224207,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"19","issue":"12","first_page":"2751","last_page":"2759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.6617000102996826,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.6617000102996826,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.04430000111460686,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.019700000062584877,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.8593000173568726},{"id":"https://openalex.org/keywords/negotiation","display_name":"Negotiation","score":0.6316999793052673},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5529999732971191},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5249999761581421},{"id":"https://openalex.org/keywords/cost-approach","display_name":"Cost approach","score":0.5034000277519226},{"id":"https://openalex.org/keywords/price-on-application","display_name":"Price on application","score":0.4422999918460846},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43209999799728394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39980000257492065}],"concepts":[{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.8593000173568726},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591999769210815},{"id":"https://openalex.org/C199776023","wikidata":"https://www.wikidata.org/wiki/Q202875","display_name":"Negotiation","level":2,"score":0.6316999793052673},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5529999732971191},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5249999761581421},{"id":"https://openalex.org/C154527381","wikidata":"https://www.wikidata.org/wiki/Q5174759","display_name":"Cost approach","level":4,"score":0.5034000277519226},{"id":"https://openalex.org/C186540954","wikidata":"https://www.wikidata.org/wiki/Q7242624","display_name":"Price on application","level":5,"score":0.4422999918460846},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43209999799728394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C502083482","wikidata":"https://www.wikidata.org/wiki/Q695829","display_name":"Real estate development","level":3,"score":0.37560001015663147},{"id":"https://openalex.org/C40627559","wikidata":"https://www.wikidata.org/wiki/Q5172430","display_name":"Corporate Real Estate","level":3,"score":0.3628999888896942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3312000036239624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.3215999901294708},{"id":"https://openalex.org/C2991739101","wikidata":"https://www.wikidata.org/wiki/Q674950","display_name":"Residential real estate","level":3,"score":0.3199000060558319},{"id":"https://openalex.org/C2780495726","wikidata":"https://www.wikidata.org/wiki/Q2186896","display_name":"Estate","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.29179999232292175},{"id":"https://openalex.org/C205664371","wikidata":"https://www.wikidata.org/wiki/Q17050450","display_name":"Income approach","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25699999928474426}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tmm.2017.2710804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2017.2710804","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1611.09180","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.09180","pdf_url":"https://arxiv.org/pdf/1611.09180","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1611.09180","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1611.09180","pdf_url":"https://arxiv.org/pdf/1611.09180","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W87319928","https://openalex.org/W1537400860","https://openalex.org/W1599858917","https://openalex.org/W1754495824","https://openalex.org/W1806891645","https://openalex.org/W1895577753","https://openalex.org/W1978712773","https://openalex.org/W1988134474","https://openalex.org/W2005708641","https://openalex.org/W2009678853","https://openalex.org/W2037056888","https://openalex.org/W2039812392","https://openalex.org/W2064675550","https://openalex.org/W2070300253","https://openalex.org/W2088153536","https://openalex.org/W2097117768","https://openalex.org/W2109109711","https://openalex.org/W2112796928","https://openalex.org/W2120515048","https://openalex.org/W2120582504","https://openalex.org/W2129706758","https://openalex.org/W2131774270","https://openalex.org/W2132914434","https://openalex.org/W2136922672","https://openalex.org/W2139846410","https://openalex.org/W2143612262","https://openalex.org/W2147800946","https://openalex.org/W2148461049","https://openalex.org/W2184450814","https://openalex.org/W2618530766","https://openalex.org/W6601785968","https://openalex.org/W6638545294","https://openalex.org/W6664008549","https://openalex.org/W6679434410","https://openalex.org/W6679527045","https://openalex.org/W6679792166","https://openalex.org/W6948116018"],"related_works":[],"abstract_inverted_index":{"Real":[0],"estate":[1,13,41,64,75,87,150],"appraisal,":[2],"which":[3,56,108],"is":[4,15,57,109],"the":[5,9,23,30,47,85,101,112,132,153],"process":[6],"of":[7,51,93,104,111,126,134,172],"estimating":[8,84],"price":[10,88],"for":[11,17,25,115],"real":[12,40,63,74,86,149],"properties,":[14],"crucial":[16],"both":[18,173],"buyers":[19],"and":[20,27,49,177],"sellers":[21],"as":[22],"basis":[24],"negotiation":[26],"transaction.":[28],"Traditionally,":[29],"repeat":[31],"sales":[32],"model":[33,163],"has":[34],"been":[35],"widely":[36],"adopted":[37],"to":[38,59,69,77,118,147],"estimate":[39,60],"prices.":[42],"However,":[43],"it":[44],"depends":[45],"on":[46,73],"design":[48],"calculation":[50],"a":[52,120,143],"complex":[53],"economic-related":[54],"index,":[55],"challenging":[58],"accurately.":[61],"Today,":[62],"brokers":[65],"provide":[66],"easy":[67],"access":[68],"detailed":[70],"online":[71,105,116],"information":[72],"properties":[76],"their":[78],"clients.":[79],"We":[80],"are":[81],"interested":[82],"in":[83,170],"from":[89],"these":[90],"large":[91],"amounts":[92],"easily":[94],"accessed":[95],"data.":[96],"In":[97,138],"particular,":[98],"we":[99,141],"analyze":[100],"prediction":[102],"power":[103],"house":[106],"pictures,":[107],"one":[110],"key":[113],"factors":[114],"users":[117],"make":[119],"potential":[121],"visiting":[122],"decision.":[123],"The":[124,157],"development":[125],"robust":[127],"computer":[128],"vision":[129],"algorithms":[130,169],"makes":[131],"analysis":[133],"visual":[135,155],"content":[136],"possible.":[137],"this":[139],"paper,":[140],"employ":[142],"recurrent":[144],"neural":[145],"network":[146],"predict":[148],"prices":[151],"using":[152],"state-of-the-art":[154,167],"features.":[156],"experimental":[158],"results":[159],"indicate":[160],"that":[161],"our":[162],"outperforms":[164],"several":[165],"other":[166],"baseline":[168],"terms":[171],"mean":[174,178],"absolute":[175,179],"error":[176],"percentage":[180],"error.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-12-08T00:00:00"}
