{"id":"https://openalex.org/W1956774666","doi":"https://doi.org/10.1109/cvpr.2015.7299139","title":"Understanding image structure via hierarchical shape parsing","display_name":"Understanding image structure via hierarchical shape parsing","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1956774666","doi":"https://doi.org/10.1109/cvpr.2015.7299139","mag":"1956774666"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2015.7299139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","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/A5100654390","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-8857-1785"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana\u2013Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Xiamen University","[Xiamen Univ., China]"],"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]},{"raw_affiliation_string":"[Xiamen Univ., China]","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055085354","display_name":"Changhu Wang","orcid":"https://orcid.org/0000-0001-8373-2597"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Changhu Wang","raw_affiliation_strings":["Microsoft Research","Microsoft Research,USA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research,USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431792","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-3865-8145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["IBM T. J. Watson Research Center","IBM T. J. Watson Research Center, USA"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]},{"raw_affiliation_string":"IBM T. J. Watson Research Center, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058101262","display_name":"Bineng Zhong","orcid":"https://orcid.org/0000-0003-3423-1539"},"institutions":[{"id":"https://openalex.org/I119045251","display_name":"Huaqiao University","ror":"https://ror.org/03frdh605","country_code":"CN","type":"education","lineage":["https://openalex.org/I119045251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bineng Zhong","raw_affiliation_strings":["Huaqiao University","Huaqiao Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Huaqiao University","institution_ids":["https://openalex.org/I119045251"]},{"raw_affiliation_string":"Huaqiao Univ. (China)","institution_ids":["https://openalex.org/I119045251"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457342","display_name":"Thomas S. Huang","orcid":"https://orcid.org/0000-0001-8474-5859"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas S. Huang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign","University of Illinois at Urbana\u2013Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"University of Illinois at Urbana\u2013Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100654390"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.1872,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.57259428,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"5042","last_page":"5050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9987999796867371,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9975000023841858,"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9968000054359436,"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/parsing","display_name":"Parsing","score":0.7962813377380371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7540813684463501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6082059741020203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41806846857070923},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4074844717979431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39619889855384827}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7962813377380371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7540813684463501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6082059741020203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41806846857070923},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4074844717979431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39619889855384827}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2015.7299139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2015.7299139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.8716","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.8716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ee.columbia.edu/%7Ewliu/CVPR15_shape_parsing.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.820.6999","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.820.6999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Liu_Understanding_Image_Structure_2015_CVPR_paper.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1542723449","https://openalex.org/W1597739853","https://openalex.org/W1624854622","https://openalex.org/W1677489248","https://openalex.org/W1974095883","https://openalex.org/W1999478155","https://openalex.org/W2010181071","https://openalex.org/W2015724956","https://openalex.org/W2022508996","https://openalex.org/W2022735534","https://openalex.org/W2056860348","https://openalex.org/W2064570813","https://openalex.org/W2072072671","https://openalex.org/W2078486494","https://openalex.org/W2081332440","https://openalex.org/W2088049833","https://openalex.org/W2090042335","https://openalex.org/W2097018403","https://openalex.org/W2102605133","https://openalex.org/W2109200236","https://openalex.org/W2110158442","https://openalex.org/W2128715914","https://openalex.org/W2129587342","https://openalex.org/W2131846894","https://openalex.org/W2132984323","https://openalex.org/W2133155955","https://openalex.org/W2134261358","https://openalex.org/W2143299724","https://openalex.org/W2146103513","https://openalex.org/W2151103935","https://openalex.org/W2154952031","https://openalex.org/W2155979701","https://openalex.org/W2161567010","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2162950292","https://openalex.org/W2163605009","https://openalex.org/W2165874743","https://openalex.org/W2170146448","https://openalex.org/W2435338979","https://openalex.org/W3005890292","https://openalex.org/W4247915583","https://openalex.org/W6611087684","https://openalex.org/W6666791111","https://openalex.org/W6675026286","https://openalex.org/W6682717316","https://openalex.org/W6683411478","https://openalex.org/W6684191040","https://openalex.org/W6684578312","https://openalex.org/W6718488237"],"related_works":["https://openalex.org/W2502722637","https://openalex.org/W1552159754","https://openalex.org/W3107474891","https://openalex.org/W1806995473","https://openalex.org/W2167662847","https://openalex.org/W1551406738","https://openalex.org/W1978971213","https://openalex.org/W2594281132","https://openalex.org/W180507639","https://openalex.org/W2138067497"],"abstract_inverted_index":{"Exploring":[0],"image":[1,22,41,58,64],"structure":[2,23,46],"is":[3,35],"a":[4,44,77],"long-standing":[5],"yet":[6],"important":[7],"research":[8],"subject":[9],"in":[10,47,116],"the":[11,26,48,53,63,84,89,114,126,129],"computer":[12],"vision":[13],"community.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,60],"focus":[19],"on":[20],"understanding":[21],"inspired":[24],"by":[25,75],"\u201csimple-to-complex\u201d":[27],"biological":[28],"evidence.":[29],"A":[30],"hierarchical":[31,45,67,91],"shape":[32,92],"parsing":[33,68,85,93,110,131],"strategy":[34],"proposed":[36,90,130],"to":[37,94,113],"partition":[38],"and":[39,55,103],"organize":[40],"components":[42],"into":[43,66],"scale":[49,101],"space.":[50],"To":[51],"improve":[52],"robustness":[54],"flexibility":[56],"of":[57,128],"representation,":[59],"further":[61],"bundle":[62],"appearances":[65],"trees.":[69,86],"Image":[70],"descriptions":[71],"are":[72],"subsequently":[73],"constructed":[74],"performing":[76],"structural":[78],"pooling,":[79],"facilitating":[80],"efficient":[81],"matching":[82],"between":[83],"We":[87,107],"leverage":[88],"study":[95],"two":[96],"exemplar":[97],"applications":[98],"including":[99],"edge":[100],"refinement":[102],"unsupervised":[104],"\u201cobjectness\u201d":[105],"detection.":[106],"show":[108],"competitive":[109],"performance":[111],"comparing":[112],"state-of-the-arts":[115],"above":[117],"scenarios":[118],"with":[119],"far":[120],"less":[121],"proposals,":[122],"which":[123],"thus":[124],"demonstrates":[125],"advantage":[127],"scheme.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
