{"id":"https://openalex.org/W2766706641","doi":"https://doi.org/10.1145/3139131.3139170","title":"A hybrid CRF framework for semantic 3D reconstruction","display_name":"A hybrid CRF framework for semantic 3D reconstruction","publication_year":2017,"publication_date":"2017-10-31","ids":{"openalex":"https://openalex.org/W2766706641","doi":"https://doi.org/10.1145/3139131.3139170","mag":"2766706641"},"language":"en","primary_location":{"id":"doi:10.1145/3139131.3139170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139131.3139170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology","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/A5101558147","display_name":"Zhixin Ma","orcid":"https://orcid.org/0000-0002-9127-4175"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhixin Ma","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064912514","display_name":"Xukun Shen","orcid":"https://orcid.org/0000-0001-8509-9393"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xukun Shen","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101641563","display_name":"Chong Cao","orcid":"https://orcid.org/0000-0002-3233-1619"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Cao","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101558147"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.15465294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","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/T10531","display_name":"Advanced Vision and Imaging","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/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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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":0.8470459580421448},{"id":"https://openalex.org/keywords/crfs","display_name":"CRFS","score":0.6823800802230835},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6145767569541931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6068459153175354},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.583838164806366},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.5439926385879517},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5306799411773682},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46907752752304077},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45796823501586914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4515867829322815},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.41289445757865906},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.3967732787132263},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1709846556186676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470459580421448},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.6823800802230835},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6145767569541931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6068459153175354},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.583838164806366},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.5439926385879517},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5306799411773682},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46907752752304077},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45796823501586914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4515867829322815},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.41289445757865906},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.3967732787132263},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1709846556186676}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3139131.3139170","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3139131.3139170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1930723014","https://openalex.org/W1971618559","https://openalex.org/W2020045638","https://openalex.org/W2044914660","https://openalex.org/W2067191022","https://openalex.org/W2105303354","https://openalex.org/W2115362620","https://openalex.org/W2139331573","https://openalex.org/W2143516773","https://openalex.org/W2150134683","https://openalex.org/W2535516436","https://openalex.org/W2906270595","https://openalex.org/W4244531973","https://openalex.org/W4247924304"],"related_works":["https://openalex.org/W50079190","https://openalex.org/W2356597680","https://openalex.org/W182104056","https://openalex.org/W2111726165","https://openalex.org/W2011251309","https://openalex.org/W3108423214","https://openalex.org/W2796133761","https://openalex.org/W3088215229","https://openalex.org/W2511246383","https://openalex.org/W2184553228"],"abstract_inverted_index":{"Nowadays,":[0],"in":[1,121,135],"order":[2],"to":[3,51,59,73,145],"achieve":[4],"an":[5],"immersive":[6],"experience,":[7],"virtual":[8],"reality":[9],"systems":[10],"usually":[11],"require":[12],"vivid":[13],"3D":[14,31,76,109,152],"models":[15,78],"and":[16,30,41,98,155,167],"a":[17,55,69,133,147],"good":[18],"understanding":[19],"of":[20,25,46,93,116,169,175],"particular":[21],"scenes.":[22],"The":[23],"limitations":[24],"separately":[26],"optimizing":[27],"image":[28,156],"segmentation":[29],"modeling":[32],"from":[33,79,102,108],"images":[34],"have":[35,159],"gradually":[36],"been":[37,160],"seen":[38],"by":[39],"more":[40,42],"researchers,":[43],"so":[44],"plenty":[45],"novel":[47],"methods":[48],"on":[49,83,162],"how":[50],"combine":[52],"them":[53],"for":[54,150],"better":[56],"result":[57],"begin":[58],"be":[60,112],"put":[61],"forward":[62],"widely.":[63],"In":[64],"this":[65],"paper,":[66],"we":[67,89,139],"propose":[68],"new":[70],"hybrid":[71,178],"framework":[72],"generate":[74],"semantic":[75],"dense":[77,153],"monocular":[80],"images.":[81,104],"Based":[82],"the":[84,94,117,122,136,170,173],"available":[85],"hierarchical":[86],"CRFs":[87],"model,":[88],"make":[90],"full":[91],"use":[92],"correlation":[95],"between":[96],"voxels":[97],"their":[99],"corresponding":[100],"pixels":[101],"different":[103],"Naturally,":[105],"valuable":[106],"information":[107],"space":[110],"can":[111],"added":[113],"as":[114,132],"one":[115],"important":[118],"energy":[119],"items":[120],"model.":[123],"Either":[124],"pixels,":[125],"segments":[126],"or":[127],"voxles":[128],"are":[129],"all":[130,168],"regarded":[131],"node":[134],"huge":[137],"graph":[138],"build.":[140],"Our":[141],"ultimate":[142],"goal":[143],"is":[144],"realize":[146],"joint":[148],"optimization":[149],"both":[151],"reconstruction":[154],"segmentation.":[157],"Experiments":[158],"done":[161],"four":[163],"real":[164],"challenging":[165],"datasets":[166],"results":[171],"prove":[172],"efficiency":[174],"our":[176],"proposed":[177],"framework.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}