{"id":"https://openalex.org/W2702255604","doi":"https://doi.org/10.1109/icassp.2017.7952351","title":"Learning Grassmann manifolds for object state discovery","display_name":"Learning Grassmann manifolds for object state discovery","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2702255604","doi":"https://doi.org/10.1109/icassp.2017.7952351","mag":"2702255604"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2017.7952351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5102268811","display_name":"Hao-Wei Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hao-Wei Lee","raw_affiliation_strings":["Department of Computer Science, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033427557","display_name":"Chia-Po Wei","orcid":"https://orcid.org/0000-0002-9266-1628"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Po Wei","raw_affiliation_strings":["Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090045508","display_name":"Yu-Chiang Frank Wang","orcid":"https://orcid.org/0000-0002-2333-157X"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chiang Frank Wang","raw_affiliation_strings":["Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for IT Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980000257492065,"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":0.564828097820282},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5534378886222839},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5141060948371887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40694689750671387},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.14748692512512207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.564828097820282},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5534378886222839},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5141060948371887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40694689750671387},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.14748692512512207}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2017.7952351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2017.7952351","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W50236904","https://openalex.org/W129703402","https://openalex.org/W1909952827","https://openalex.org/W1922045146","https://openalex.org/W1948251820","https://openalex.org/W1992405901","https://openalex.org/W2008765809","https://openalex.org/W2013908419","https://openalex.org/W2031929776","https://openalex.org/W2084716923","https://openalex.org/W2098411764","https://openalex.org/W2117539524","https://openalex.org/W2128053425","https://openalex.org/W2134670479","https://openalex.org/W2149338181","https://openalex.org/W2149466042","https://openalex.org/W2151693816","https://openalex.org/W2153635508","https://openalex.org/W2155893237","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2187089797","https://openalex.org/W2228536296","https://openalex.org/W2294130536","https://openalex.org/W2977511996","https://openalex.org/W6602046302","https://openalex.org/W6679792166","https://openalex.org/W6681637710"],"related_works":["https://openalex.org/W2975200075","https://openalex.org/W2390261592","https://openalex.org/W2785768241","https://openalex.org/W2958976537","https://openalex.org/W2126433482","https://openalex.org/W2352384801","https://openalex.org/W1995425467","https://openalex.org/W2360568537","https://openalex.org/W2095705906","https://openalex.org/W2745781228"],"abstract_inverted_index":{"In":[0,102],"this":[1],"paper,":[2],"we":[3,105],"advocate":[4],"the":[5,30,61,65,76,81,84,113],"use":[6,85],"of":[7,86,115],"Grassmann":[8,34,47,89],"manifolds":[9],"for":[10,36],"discovering":[11],"object":[12,39,96],"images":[13],"in":[14,52,55],"different":[15,68],"states":[16,57,69],"(e.g.,":[17],"unripe,":[18],"peeled,":[19],"etc.).":[20],"We":[21],"propose":[22],"a":[23,33],"novel":[24],"dictionary":[25],"learning":[26],"algorithm,":[27],"which":[28],"derives":[29],"subspaces":[31,59],"on":[32,60],"manifold":[35,48,90],"describing":[37],"each":[38],"state.":[40],"By":[41],"our":[42,46,87,103,116],"introduced":[43],"geodesic-flow":[44],"constraint,":[45],"exhibits":[49],"excellent":[50],"capabilities":[51],"relating":[53],"objects":[54],"distinct":[56],"(i.e.,":[58],"derived":[62],"manifold),":[63],"while":[64],"geodesics":[66],"connecting":[67],"can":[70,91],"be":[71,92],"viewed":[72],"as":[73],"transformations":[74],"between":[75],"associated":[77],"states.":[78],"This":[79],"is":[80],"reason":[82],"why":[83],"proposed":[88,117],"applied":[93],"to":[94,111],"perform":[95],"state":[97],"classification":[98],"with":[99],"improved":[100],"performance.":[101],"experiments,":[104],"provide":[106],"quantitative":[107],"and":[108],"qualitative":[109],"results":[110],"verify":[112],"effectiveness":[114],"method.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
