{"id":"https://openalex.org/W2963499152","doi":"https://doi.org/10.1145/3319921.3319932","title":"An Element Sensitive Saliency Model with Position Prior Learning for Web Pages","display_name":"An Element Sensitive Saliency Model with Position Prior Learning for Web Pages","publication_year":2019,"publication_date":"2019-03-15","ids":{"openalex":"https://openalex.org/W2963499152","doi":"https://doi.org/10.1145/3319921.3319932","mag":"2963499152"},"language":"en","primary_location":{"id":"doi:10.1145/3319921.3319932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074390218","display_name":"Yujun Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Gu","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103835960","display_name":"Jie Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342828","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-5390-9053"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645705","display_name":"Yanfeng Wang","orcid":"https://orcid.org/0000-0002-3196-2347"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Wang","raw_affiliation_strings":["Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cooperative Medianet Innovation Center, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930","https://openalex.org/I4210099312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9909999966621399,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9801999926567078,"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/computer-science","display_name":"Computer science","score":0.7171525359153748},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.7018609642982483},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.6408097147941589},{"id":"https://openalex.org/keywords/position-paper","display_name":"Position paper","score":0.5720273852348328},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4669804275035858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3939507007598877},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3569028973579407},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.034095197916030884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171525359153748},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.7018609642982483},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.6408097147941589},{"id":"https://openalex.org/C78780964","wikidata":"https://www.wikidata.org/wiki/Q7233193","display_name":"Position paper","level":2,"score":0.5720273852348328},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4669804275035858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3939507007598877},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3569028973579407},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.034095197916030884},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319921.3319932","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319921.3319932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W938601501","https://openalex.org/W1510835000","https://openalex.org/W1521064364","https://openalex.org/W1686810756","https://openalex.org/W1991857366","https://openalex.org/W2019658628","https://openalex.org/W2028087473","https://openalex.org/W2037328649","https://openalex.org/W2054802006","https://openalex.org/W2103666701","https://openalex.org/W2122710056","https://openalex.org/W2133589685","https://openalex.org/W2135957164","https://openalex.org/W2163605009","https://openalex.org/W2165263771","https://openalex.org/W2288514685","https://openalex.org/W2295107390","https://openalex.org/W2509231440","https://openalex.org/W2604272474","https://openalex.org/W2952932416","https://openalex.org/W2963828885","https://openalex.org/W2990138404","https://openalex.org/W3101840568","https://openalex.org/W4234617775","https://openalex.org/W6680437723"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2380000090","https://openalex.org/W2911039683","https://openalex.org/W2382416307","https://openalex.org/W2169127058","https://openalex.org/W2187575493","https://openalex.org/W2203842767","https://openalex.org/W3112644326","https://openalex.org/W2389520089","https://openalex.org/W4313200715"],"abstract_inverted_index":{"Understanding":[0],"human":[1],"visual":[2],"attention":[3],"is":[4,72],"important":[5],"for":[6,30,55,137],"multimedia":[7],"applications.":[8],"Many":[9],"studies":[10],"have":[11,24],"attempted":[12],"to":[13,27],"build":[14],"saliency":[15,28,53,139],"prediction":[16,29],"models":[17,75,136],"on":[18],"natural":[19],"images.":[20],"However,":[21],"limited":[22],"efforts":[23],"been":[25],"devoted":[26],"Web":[31,56,89],"pages,":[32],"which":[33,74,107],"are":[34,105],"characterized":[35],"by":[36,63],"diverse":[37],"content":[38],"elements":[39,86],"and":[40,98,111,127],"spatial":[41],"layouts.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"propose":[47],"a":[48,66,80,88,91,99,122],"novel":[49],"end-to-end":[50],"deep":[51],"generative":[52],"model":[54,84,120,132],"pages.":[57],"To":[58,83],"capture":[59],"position":[60,77],"biases":[61,78],"introduced":[62],"page":[64],"layouts,":[65],"Position":[67],"Prior":[68],"Learning":[69],"(PPL)":[70],"sub-network":[71],"proposed,":[73],"the":[76,118,130,134],"with":[79,121],"variational":[81],"auto-encoder.":[82],"different":[85],"of":[87],"page,":[90],"Multi":[92],"Discriminative":[93],"Region":[94,101],"Detection":[95,102],"(MDRD)":[96],"branch":[97,104],"Text":[100],"(TRD)":[103],"introduced,":[106],"extract":[108],"discriminative":[109],"localizations":[110],"prominent":[112],"text":[113],"regions,":[114],"respectively.":[115],"We":[116],"validate":[117],"proposed":[119,131],"public":[123],"Web-page":[124,138],"dataset":[125],"'FIWI',":[126],"show":[128],"that":[129],"outperforms":[133],"state-of-art":[135],"prediction.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}