{"id":"https://openalex.org/W3094399066","doi":"https://doi.org/10.1145/3379337.3415835","title":"GrabAR: Occlusion-aware Grabbing Virtual Objects in AR","display_name":"GrabAR: Occlusion-aware Grabbing Virtual Objects in AR","publication_year":2020,"publication_date":"2020-10-16","ids":{"openalex":"https://openalex.org/W3094399066","doi":"https://doi.org/10.1145/3379337.3415835","mag":"3094399066"},"language":"en","primary_location":{"id":"doi:10.1145/3379337.3415835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379337.3415835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on User Interface 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/A5028586316","display_name":"Xiao Tang","orcid":"https://orcid.org/0000-0002-0373-6983"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao Tang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027851405","display_name":"Xiaowei Hu","orcid":"https://orcid.org/0000-0002-5708-7018"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Hu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054382056","display_name":"Chi\u2010Wing Fu","orcid":"https://orcid.org/0000-0002-5238-593X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi-Wing Fu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","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 Cohen-Or","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028586316"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":1.9622,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.88764587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"697","last_page":"708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9984999895095825,"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":0.7893711924552917},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6107609272003174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5643460750579834},{"id":"https://openalex.org/keywords/virtual-image","display_name":"Virtual image","score":0.5533648133277893},{"id":"https://openalex.org/keywords/augmented-reality","display_name":"Augmented reality","score":0.5439541339874268},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.531304121017456},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.523526668548584},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5034684538841248},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4291658103466034},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3662490248680115},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3556872606277466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893711924552917},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6107609272003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5643460750579834},{"id":"https://openalex.org/C51970089","wikidata":"https://www.wikidata.org/wiki/Q44415","display_name":"Virtual image","level":2,"score":0.5533648133277893},{"id":"https://openalex.org/C153715457","wikidata":"https://www.wikidata.org/wiki/Q254183","display_name":"Augmented reality","level":2,"score":0.5439541339874268},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.531304121017456},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.523526668548584},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5034684538841248},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4291658103466034},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3662490248680115},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3556872606277466}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3379337.3415835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379337.3415835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology","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":45,"referenced_works":["https://openalex.org/W612478963","https://openalex.org/W1531486232","https://openalex.org/W1612997784","https://openalex.org/W1852312282","https://openalex.org/W1906662973","https://openalex.org/W1927650470","https://openalex.org/W1992178727","https://openalex.org/W1994349244","https://openalex.org/W2004359357","https://openalex.org/W2007561991","https://openalex.org/W2041741032","https://openalex.org/W2051928158","https://openalex.org/W2090293796","https://openalex.org/W2103380420","https://openalex.org/W2111201185","https://openalex.org/W2114663654","https://openalex.org/W2120676296","https://openalex.org/W2132947399","https://openalex.org/W2282481780","https://openalex.org/W2307770531","https://openalex.org/W2466300358","https://openalex.org/W2606627193","https://openalex.org/W2611797529","https://openalex.org/W2805848721","https://openalex.org/W2889146482","https://openalex.org/W2892644985","https://openalex.org/W2897765997","https://openalex.org/W2902486335","https://openalex.org/W2903233845","https://openalex.org/W2903489944","https://openalex.org/W2936146487","https://openalex.org/W2950762923","https://openalex.org/W2951234442","https://openalex.org/W2962811204","https://openalex.org/W2962926199","https://openalex.org/W2963091558","https://openalex.org/W2963091746","https://openalex.org/W2963351510","https://openalex.org/W2963488291","https://openalex.org/W2963591054","https://openalex.org/W2964093990","https://openalex.org/W2973857456","https://openalex.org/W2982220924","https://openalex.org/W3103648783","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2736982640","https://openalex.org/W4378228262","https://openalex.org/W4378228679","https://openalex.org/W3107375852","https://openalex.org/W2752321621","https://openalex.org/W2789244453","https://openalex.org/W3039884195","https://openalex.org/W4309505463","https://openalex.org/W2355744761","https://openalex.org/W2465398362"],"abstract_inverted_index":{"Existing":[0],"augmented":[1],"reality":[2],"(AR)":[3],"applications":[4,64],"often":[5],"ignore":[6],"the":[7,26,48,53,94,99,115,133],"occlusion":[8,50,95],"between":[9,33,67],"real":[10,34,110],"hands":[11],"and":[12,31,35,51,56,70,79,109,151,170],"virtual":[13,17,36,128,140,168],"objects":[14,18,72,169],"when":[15],"incorporating":[16],"in":[19,118,159],"user's":[20],"views.":[21],"The":[22],"challenges":[23],"come":[24],"from":[25],"lack":[27],"of":[28,77,127,135,156],"accurate":[29],"depth":[30,54],"mismatch":[32],"depth.":[37],"This":[38],"paper":[39],"presents":[40],"GrabAR1,":[41],"a":[42,85,103,119,153],"new":[43],"approach":[44],"that":[45,90],"directly":[46,171],"predicts":[47],"real-and-virtual":[49],"bypasses":[52],"acquisition":[55],"inference.":[57],"Our":[58],"goal":[59],"is":[60],"to":[61,92,123,166],"enhance":[62],"AR":[63,121],"with":[65,145],"interactions":[66],"hand":[68,78,165],"(real)":[69],"grabbable":[71],"(virtual).":[73],"With":[74],"paired":[75],"images":[76],"object":[80],"as":[81],"inputs,":[82],"we":[83,101,131,161],"formulate":[84],"compact":[86],"deep":[87],"neural":[88],"network":[89,117],"learns":[91],"generate":[93],"mask.":[96],"To":[97],"train":[98],"network,":[100],"compile":[102],"large":[104],"dataset,":[105],"including":[106],"synthetic":[107],"data":[108],"data.":[111],"We":[112],"then":[113],"embed":[114],"trained":[116],"prototyping":[120],"system":[122],"support":[124],"real-time":[125],"grabbing":[126],"objects.":[129],"Further,":[130],"demonstrate":[132],"performance":[134],"our":[136,143],"method":[137,144],"on":[138],"various":[139],"objects,":[141],"compare":[142],"others":[146],"through":[147],"two":[148],"user":[149],"studies,":[150],"showcase":[152],"rich":[154],"variety":[155],"interaction":[157],"scenarios,":[158],"which":[160],"can":[162],"use":[163],"bare":[164],"grab":[167],"manipulate":[172],"them.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
