{"id":"https://openalex.org/W2408318441","doi":"https://doi.org/10.1109/wacv.2016.7477638","title":"Semantic segmentation of modular furniture","display_name":"Semantic segmentation of modular furniture","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2408318441","doi":"https://doi.org/10.1109/wacv.2016.7477638","mag":"2408318441"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5004587207","display_name":"Tobias Pohlen","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Pohlen","raw_affiliation_strings":["Visual Computing Institute, RWTH Aachen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing Institute, RWTH Aachen University","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084916727","display_name":"Ishrat Badami","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ishrat Badami","raw_affiliation_strings":["Visual Computing Institute, RWTH Aachen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing Institute, RWTH Aachen University","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076723993","display_name":"Markus Mathias","orcid":null},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Mathias","raw_affiliation_strings":["Visual Computing Institute, RWTH Aachen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing Institute, RWTH Aachen University","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006649","display_name":"Bastian Leibe","orcid":"https://orcid.org/0000-0003-4225-0051"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bastian Leibe","raw_affiliation_strings":["Visual Computing Institute, RWTH Aachen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Computing Institute, RWTH Aachen University","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I887968799"],"apc_list":null,"apc_paid":null,"fwci":1.5515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79636499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"220","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.958899974822998,"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":0.7898707389831543},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7437314987182617},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6542295217514038},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6541703939437866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5858038663864136},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.5378187894821167},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.4871613681316376},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47100865840911865},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.46986350417137146},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4533081650733948},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.44686099886894226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43827611207962036},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.42743921279907227},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35473689436912537},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.320438027381897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2989232838153839},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.195826917886734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1334397792816162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7898707389831543},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7437314987182617},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6542295217514038},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6541703939437866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5858038663864136},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.5378187894821167},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.4871613681316376},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47100865840911865},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.46986350417137146},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4533081650733948},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.44686099886894226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43827611207962036},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.42743921279907227},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35473689436912537},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.320438027381897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2989232838153839},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.195826917886734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1334397792816162},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2016.7477638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477638","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.rwth-aachen.de:675016","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/675016","pdf_url":null,"source":{"id":"https://openalex.org/S4306401362","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"New York, NY : IEEE, IEEE Winter Conference on Applications of Computer Vision 9 Seiten (2016). doi:10.1109/WACV.2016.7477638","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1567645672","https://openalex.org/W1604679511","https://openalex.org/W1818727054","https://openalex.org/W1969366022","https://openalex.org/W1976047850","https://openalex.org/W1999478155","https://openalex.org/W2024060531","https://openalex.org/W2063266501","https://openalex.org/W2067191022","https://openalex.org/W2068397385","https://openalex.org/W2071634722","https://openalex.org/W2092399515","https://openalex.org/W2101309634","https://openalex.org/W2104095591","https://openalex.org/W2121947440","https://openalex.org/W2124297750","https://openalex.org/W2131564913","https://openalex.org/W2132455584","https://openalex.org/W2140965591","https://openalex.org/W2147880316","https://openalex.org/W2152571752","https://openalex.org/W2154061444","https://openalex.org/W2154484971","https://openalex.org/W2155296376","https://openalex.org/W2268816372","https://openalex.org/W2285214964","https://openalex.org/W2534523274","https://openalex.org/W2545985378","https://openalex.org/W2911964244","https://openalex.org/W2914275007","https://openalex.org/W4230167402","https://openalex.org/W4238070559","https://openalex.org/W4251321576","https://openalex.org/W6605121731","https://openalex.org/W6638472885","https://openalex.org/W6678796163","https://openalex.org/W6679542984","https://openalex.org/W6682082992","https://openalex.org/W6693898610"],"related_works":["https://openalex.org/W2242098268","https://openalex.org/W4244945894","https://openalex.org/W2760515006","https://openalex.org/W2802042052","https://openalex.org/W1987609185","https://openalex.org/W2003462717","https://openalex.org/W4224881918","https://openalex.org/W174828583","https://openalex.org/W2059098648","https://openalex.org/W2765913083"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"approach":[4],"for":[5],"the":[6,39,43,102,111],"semantic":[7],"segmentation":[8,29],"and":[9,20,54,65,71,78,107,126],"structural":[10,64,105],"parsing":[11],"of":[12,42,49,68,104,123],"modular":[13],"furniture":[14,124],"items,":[15],"such":[16],"as":[17],"cabinets,":[18],"wardrobes,":[19],"bookshelves,":[21],"into":[22,30],"so":[23],"called":[24,93],"interaction":[25],"elements.":[26],"Such":[27],"a":[28,90,98,120],"functional":[31],"units":[32],"is":[33],"challenging":[34],"not":[35],"only":[36],"due":[37],"to":[38],"visual":[40],"similarity":[41],"different":[44],"elements":[45,106],"but":[46],"also":[47],"because":[48],"their":[50],"often":[51],"uniformly":[52],"colored":[53],"low-texture":[55],"appearance.":[56],"Our":[57],"method":[58],"addresses":[59],"these":[60],"challenges":[61],"by":[62],"merging":[63],"appearance":[66],"likelihoods":[67],"each":[69],"element":[70],"jointly":[72],"optimizing":[73],"over":[74],"shape,":[75],"relative":[76],"location,":[77],"class":[79],"labels":[80],"using":[81],"Markov":[82],"Chain":[83],"Monte":[84],"Carlo":[85],"(MCMC)":[86],"sampling.":[87],"We":[88,114],"propose":[89],"novel":[91,121],"concept":[92],"rectangle":[94],"coverings":[95],"which":[96],"provides":[97],"tight":[99],"bound":[100],"on":[101,119],"number":[103],"hence":[108],"narrows":[109],"down":[110],"search":[112],"space.":[113],"evaluate":[115],"our":[116],"approach's":[117],"performance":[118],"dataset":[122],"items":[125],"demonstrate":[127],"its":[128],"applicability":[129],"in":[130],"practice.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}