{"id":"https://openalex.org/W1966662566","doi":"https://doi.org/10.1109/icassp.2014.6854574","title":"Joint learning of foreground region labeling and depth ordering","display_name":"Joint learning of foreground region labeling and depth ordering","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1966662566","doi":"https://doi.org/10.1109/icassp.2014.6854574","mag":"1966662566"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5073237996","display_name":"Youngjoo Seo","orcid":"https://orcid.org/0000-0003-2408-6702"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Joo Seo","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science & Technology","[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322014","display_name":"Jongmin Kim","orcid":"https://orcid.org/0000-0002-9874-0378"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongmin Kim","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science & Technology","[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065349525","display_name":"Hoyong Jang","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoyong Jang","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science & Technology","[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100452215","display_name":"Taeho Kim","orcid":"https://orcid.org/0000-0003-2663-6480"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Ho Kim","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science & Technology","[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"[Department of EE, Korea Advanced Institute of Science and Technology, Daejeon, South Korea]","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073287748","display_name":"Chang D. Yoo","orcid":"https://orcid.org/0000-0002-0756-7179"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang D. Yoo","raw_affiliation_strings":["Department of EE, Korea Advanced Institute of Science & Technology","Korea Advanced Institute of Science and Technology, Daejeon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EE, Korea Advanced Institute of Science & Technology","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Korea Advanced Institute of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04767703,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"5100","last_page":"5104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9993000030517578,"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":0.9983000159263611,"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/computer-science","display_name":"Computer science","score":0.6490808725357056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6396193504333496},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.623245894908905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.577986478805542},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5356224775314331},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47786325216293335},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.461110383272171},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4524598717689514},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.42221799492836},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4019617438316345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28584229946136475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490808725357056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6396193504333496},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.623245894908905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.577986478805542},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5356224775314331},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47786325216293335},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.461110383272171},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4524598717689514},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.42221799492836},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4019617438316345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28584229946136475},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1486646730","https://openalex.org/W1502212970","https://openalex.org/W1989991833","https://openalex.org/W2014795190","https://openalex.org/W2019909743","https://openalex.org/W2031248101","https://openalex.org/W2039461297","https://openalex.org/W2069808690","https://openalex.org/W2080920426","https://openalex.org/W2105644991","https://openalex.org/W2105842272","https://openalex.org/W2115084814","https://openalex.org/W2125310925","https://openalex.org/W2127948493","https://openalex.org/W2135488942","https://openalex.org/W2146352414","https://openalex.org/W2148603752","https://openalex.org/W2157652882","https://openalex.org/W2170877068","https://openalex.org/W2174596631","https://openalex.org/W2183143033","https://openalex.org/W2539771071","https://openalex.org/W6630053423","https://openalex.org/W6675760969","https://openalex.org/W6675783020","https://openalex.org/W6683454609"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W2055243143","https://openalex.org/W2530420969","https://openalex.org/W2051187167"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"a":[3,49,81,116,142],"joint":[4,176],"learning":[5],"algorithm":[6,24,178],"of":[7,101,137],"foreground":[8,30,181],"region":[9,27,43,103,182],"labeling":[10,136,183],"and":[11,64,77,104,139,161,184],"depth":[12,38,93,185],"ordering":[13,186],"for":[14],"3D":[15],"scene":[16],"understanding.":[17],"Given":[18],"an":[19],"object-level":[20],"segmentation,":[21],"the":[22,36,65,87,91,124,134,146,151,174],"proposed":[23,175],"classifies":[25],"each":[26],"as":[28,55,62,69,115,121,128],"either":[29],"or":[31],"background":[32],"while":[33,57],"simultaneously":[34],"infers":[35],"relative":[37],"orders":[39],"between":[40,59],"every":[41,75],"adjacent":[42,60],"pairs.":[44],"For":[45],"this,":[46],"we":[47,108],"consider":[48],"graph":[50],"where":[51],"regions":[52,61,138],"are":[53],"considered":[54],"nodes":[56,76],"boundaries":[58],"edges,":[63],"problem":[66,125],"is":[67,126,149,168],"formulated":[68],"jointly":[70,111],"assigning":[71],"binary":[72],"labels":[73,106],"to":[74,95,120,132],"edges":[78,140],"via":[79],"maximizing":[80],"unified":[82],"linear":[83,165],"discriminant":[84,147],"function,":[85],"under":[86],"constraints":[88],"that":[89,173],"make":[90],"resulting":[92],"order":[94],"be":[96,154],"always":[97],"physically":[98],"plausible.":[99],"Instead":[100],"inferring":[102],"edge":[105],"separately,":[107],"infer":[109],"them":[110,114],"by":[112],"grouping":[113],"single":[117],"variable":[118],"referred":[119],"triplet.":[122],"Then,":[123],"reformulated":[127],"multi-class":[129],"triplet":[130],"prediction":[131],"penalize":[133],"inconsistent":[135],"in":[141],"soft":[143],"manner.":[144],"As":[145],"function":[148],"linear,":[150],"parameters":[152],"can":[153],"learned":[155],"with":[156],"structured":[157],"support":[158],"vector":[159],"machine(S-SVM),":[160],"efficient":[162],"inference":[163,177],"using":[164],"programming":[166],"relaxation":[167],"possible.":[169],"Experimental":[170],"results":[171],"show":[172],"improves":[179],"both":[180],"performances.":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
