{"id":"https://openalex.org/W2011447624","doi":"https://doi.org/10.1145/2393347.2393421","title":"Query-adaptive shape topic mining for hand-drawn sketch recognition","display_name":"Query-adaptive shape topic mining for hand-drawn sketch recognition","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2011447624","doi":"https://doi.org/10.1145/2393347.2393421","mag":"2011447624"},"language":"en","primary_location":{"id":"doi:10.1145/2393347.2393421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2393421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","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/A5025227810","display_name":"Zhenbang Sun","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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenbang Sun","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"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/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhu Wang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100741568","display_name":"Liqing Zhang","orcid":"https://orcid.org/0000-0001-7597-8503"},"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/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqing Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Shanghai Jiao Tong University, Shanghai, China","[Shanghai Jiao Tong University, Shanghai, China]"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"[Shanghai Jiao Tong University, Shanghai, China]","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100433899","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-2078-4215"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China","Shanghai Jiao Tong University, Shanghai, China","Microsoft research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Microsoft research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025227810"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.5691,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93633839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"519","last_page":"528"},"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9984999895095825,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.9424204230308533},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.8991501927375793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8084282875061035},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.6152578592300415},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5771462917327881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557166337966919},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.556713342666626},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.47741711139678955},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47507399320602417},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4406812787055969},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43509429693222046},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4318312704563141},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4297301173210144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39725613594055176},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09315380454063416}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9424204230308533},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.8991501927375793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8084282875061035},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.6152578592300415},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5771462917327881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557166337966919},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.556713342666626},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.47741711139678955},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47507399320602417},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4406812787055969},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43509429693222046},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4318312704563141},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4297301173210144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39725613594055176},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09315380454063416},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393347.2393421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393347.2393421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1601824015","https://openalex.org/W1880262756","https://openalex.org/W1976890290","https://openalex.org/W1977198981","https://openalex.org/W1983556963","https://openalex.org/W1999478155","https://openalex.org/W2004030129","https://openalex.org/W2020842694","https://openalex.org/W2024718033","https://openalex.org/W2030022322","https://openalex.org/W2048546747","https://openalex.org/W2053108729","https://openalex.org/W2055979507","https://openalex.org/W2056313036","https://openalex.org/W2057175746","https://openalex.org/W2080009145","https://openalex.org/W2098062695","https://openalex.org/W2098138601","https://openalex.org/W2100968369","https://openalex.org/W2103399083","https://openalex.org/W2107017806","https://openalex.org/W2107743791","https://openalex.org/W2114766304","https://openalex.org/W2134202846","https://openalex.org/W2134648451","https://openalex.org/W2140124448","https://openalex.org/W2164842737","https://openalex.org/W2165414070","https://openalex.org/W2172191903","https://openalex.org/W2474211219","https://openalex.org/W4233135949","https://openalex.org/W6639619044","https://openalex.org/W6651452091","https://openalex.org/W6674735981","https://openalex.org/W6680343917"],"related_works":["https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W1976890290","https://openalex.org/W13629514","https://openalex.org/W1822434944","https://openalex.org/W2945895945","https://openalex.org/W2169734349","https://openalex.org/W2034516279","https://openalex.org/W3049660410","https://openalex.org/W4310297555"],"abstract_inverted_index":{"In":[0],"this":[1,91],"work,":[2,37],"we":[3,38],"study":[4],"the":[5,60,71,75,80,110,136,163,166,171],"problem":[6],"of":[7,21,74,82,116,165],"hand-drawn":[8,18],"sketch":[9,44,134,149],"recognition.":[10],"Due":[11],"to":[12,26,47,101,109],"large":[13],"intra-class":[14,83],"variations":[15],"presented":[16],"in":[17,90,112,129],"sketches,":[19],"most":[20],"existing":[22,36],"work":[23],"was":[24],"limited":[25,31],"a":[27,42,54,63,94,130],"particular":[28],"domain":[29],"or":[30],"pre-defined":[32],"classes.":[33],"Different":[34],"from":[35],"target":[39],"at":[40],"developing":[41],"general":[43],"recognition":[45,61,76,172],"system,":[46],"recognize":[48],"any":[49],"semantically":[50],"meaningful":[51],"object":[52,103],"that":[53],"child":[55],"can":[56,140],"recognize.":[57],"To":[58,78],"increase":[59],"coverage,":[62],"web-scale":[64],"clipart":[65],"image":[66,151,155],"collection":[67],"is":[68,99],"leveraged":[69],"as":[70,119,148],"knowledge":[72],"base":[73],"system.":[77,173],"alleviate":[79],"problems":[81],"shape":[84,88,96,106],"variation":[85],"and":[86,105,124,153,170],"inter-class":[87],"ambiguity":[89],"unconstrained":[92],"situation,":[93],"query-adaptive":[95],"topic":[97,138,168],"model":[98,139,169],"proposed":[100,137,167],"mine":[102],"topics":[104,107],"related":[108,145],"sketch,":[111,120],"which,":[113],"multiple":[114],"layers":[115],"information":[117],"such":[118,147],"object,":[121],"shape,":[122],"image,":[123],"semantic":[125],"labels":[126],"are":[127],"modeled":[128],"generative":[131],"process.":[132],"Besides":[133],"recognition,":[135],"also":[141],"be":[142],"used":[143],"for":[144],"applications":[146,161],"tagging,":[150,152],"sketch-based":[154],"search.":[156],"Extensive":[157],"experiments":[158],"on":[159],"different":[160],"show":[162],"effectiveness":[164]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"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":4},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
