{"id":"https://openalex.org/W2888773643","doi":"https://doi.org/10.1109/vr.2018.8446602","title":"Active Assembly Guidance with Online Video Parsing","display_name":"Active Assembly Guidance with Online Video Parsing","publication_year":2018,"publication_date":"2018-03-01","ids":{"openalex":"https://openalex.org/W2888773643","doi":"https://doi.org/10.1109/vr.2018.8446602","mag":"2888773643"},"language":"en","primary_location":{"id":"doi:10.1109/vr.2018.8446602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vr.2018.8446602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)","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/A5049751916","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-5084-8590"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Guofeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guofeng Wang","raw_affiliation_strings":["ArcSoft Inc"],"affiliations":[{"raw_affiliation_string":"ArcSoft Inc","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074974298","display_name":"Andrei Sharf","orcid":"https://orcid.org/0000-0002-3963-4508"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Andrei Sharf","raw_affiliation_strings":["Ben-Gurion University"],"affiliations":[{"raw_affiliation_string":"Ben-Gurion University","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021053713","display_name":"Yangyan Li","orcid":"https://orcid.org/0000-0003-4039-4705"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyan Li","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101191328","display_name":"Fan Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhong","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008274291","display_name":"Xueying Qin","orcid":"https://orcid.org/0000-0003-0057-295X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueying Qin","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Cohenor","raw_affiliation_strings":["Tel Aviv University"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010714340","display_name":"Baoquan Chen","orcid":"https://orcid.org/0000-0003-4702-036X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoquan Chen","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5049751916"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.5618,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67833775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"459","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9947999715805054,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9907000064849854,"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":0.8568634390830994},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7699558734893799},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6224185228347778},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6127175092697144},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6071004867553711},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5948500633239746},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.577713131904602},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5004630088806152},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4956876039505005},{"id":"https://openalex.org/keywords/tree-structure","display_name":"Tree structure","score":0.4850420355796814},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4728268086910248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46881580352783203},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43921124935150146},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39742398262023926},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.1690387725830078},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1354382038116455},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08923828601837158}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8568634390830994},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7699558734893799},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6224185228347778},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6127175092697144},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6071004867553711},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5948500633239746},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.577713131904602},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5004630088806152},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4956876039505005},{"id":"https://openalex.org/C163797641","wikidata":"https://www.wikidata.org/wiki/Q2067937","display_name":"Tree structure","level":3,"score":0.4850420355796814},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4728268086910248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46881580352783203},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43921124935150146},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39742398262023926},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.1690387725830078},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1354382038116455},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08923828601837158},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vr.2018.8446602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vr.2018.8446602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)","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":31,"referenced_works":["https://openalex.org/W1517303303","https://openalex.org/W1891649657","https://openalex.org/W1891950620","https://openalex.org/W1980895458","https://openalex.org/W1996769203","https://openalex.org/W2037732452","https://openalex.org/W2048704945","https://openalex.org/W2055993143","https://openalex.org/W2075211463","https://openalex.org/W2081211779","https://openalex.org/W2082073215","https://openalex.org/W2088487348","https://openalex.org/W2092399515","https://openalex.org/W2098245519","https://openalex.org/W2101199297","https://openalex.org/W2114111978","https://openalex.org/W2119468946","https://openalex.org/W2120150334","https://openalex.org/W2141845585","https://openalex.org/W2147511372","https://openalex.org/W2160517719","https://openalex.org/W2178846008","https://openalex.org/W2288911029","https://openalex.org/W2534523274","https://openalex.org/W2611109828","https://openalex.org/W2963203908","https://openalex.org/W4253935530","https://openalex.org/W4254068085","https://openalex.org/W6631097402","https://openalex.org/W6675133265","https://openalex.org/W6681885738"],"related_works":["https://openalex.org/W2093885745","https://openalex.org/W2351266481","https://openalex.org/W2132547887","https://openalex.org/W2071459461","https://openalex.org/W2516987005","https://openalex.org/W1568205884","https://openalex.org/W2907786475","https://openalex.org/W2963447120","https://openalex.org/W4289082820","https://openalex.org/W2092152400"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,106],"introduce":[4,107],"an":[5,47,86],"online":[6,48],"video-based":[7,49],"system":[8,17,45],"that":[9,53],"actively":[10],"assists":[11],"users":[12],"in":[13,38],"assembly":[14,22,50,57,104,133],"tasks.":[15],"The":[16,41],"guides":[18],"and":[19,27,35,100,129],"monitors":[20],"the":[21,56,70,73,79,82,97,102,126,132,141],"process":[23],"by":[24],"providing":[25],"instructions":[26],"feedback":[28],"on":[29],"possibly":[30],"erroneous":[31],"operations,":[32],"enabling":[33],"easy":[34],"effective":[36],"guidance":[37],"AR/MR":[39],"applications.":[40],"core":[42],"of":[43,72,143],"our":[44,144],"is":[46,60,115],"parsing":[51],"method":[52,68],"can":[54],"understand":[55,101],"process,":[58],"which":[59,123],"known":[61],"to":[62,76,85,116],"be":[63],"extremely":[64],"hard":[65],"previously.":[66],"Our":[67,112],"exploits":[69],"availability":[71],"participating":[74],"parts":[75],"significantly":[77,124],"alleviate":[78],"problem,":[80,88],"reducing":[81],"recognition":[83],"task":[84],"identification":[87],"within":[89],"a":[90,108],"constrained":[91],"search":[92,98,127],"space.":[93],"To":[94],"further":[95],"constrain":[96],"space,":[99],"observed":[103],"activity,":[105],"tree-based":[109],"global-inference":[110],"technique.":[111],"key":[113],"idea":[114],"incorporate":[117],"part-interaction":[118],"rules":[119],"as":[120],"powerful":[121],"constraints":[122],"regularize":[125],"space":[128],"correctly":[130],"parse":[131],"video":[134],"at":[135],"interactive":[136],"rates.":[137],"Complex":[138],"examples":[139],"demonstrate":[140],"effectiveness":[142],"method.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}