{"id":"https://openalex.org/W4413332228","doi":"https://doi.org/10.1145/3761816","title":"Elevating Mesh Saliency in VR: Introducing a Novel Prediction Network and Dataset","display_name":"Elevating Mesh Saliency in VR: Introducing a Novel Prediction Network and Dataset","publication_year":2025,"publication_date":"2025-08-19","ids":{"openalex":"https://openalex.org/W4413332228","doi":"https://doi.org/10.1145/3761816"},"language":"en","primary_location":{"id":"doi:10.1145/3761816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761816","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3761816","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032888856","display_name":"Kaiwei Zhang","orcid":"https://orcid.org/0000-0002-1620-736X"},"institutions":[{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaiwei Zhang","raw_affiliation_strings":["Shanghai AI Laboratory, Shanghai, China","Shanghai AI Laboratory, China"],"raw_orcid":"https://orcid.org/0000-0002-1620-736X","affiliations":[{"raw_affiliation_string":"Shanghai AI Laboratory, Shanghai, China","institution_ids":["https://openalex.org/I4391012619"]},{"raw_affiliation_string":"Shanghai AI Laboratory, China","institution_ids":["https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mohan He","orcid":"https://orcid.org/0009-0007-8633-0690"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mohan He","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0007-8633-0690","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002554183","display_name":"Dandan Zhu","orcid":"https://orcid.org/0000-0003-0329-6321"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Zhu","raw_affiliation_strings":["East China Normal University, Shanghai, China","East China Normal University, China"],"raw_orcid":"https://orcid.org/0000-0003-0329-6321","affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790399","display_name":"Kun Zhu","orcid":"https://orcid.org/0000-0002-5773-5089"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhu","raw_affiliation_strings":["Tongji University, Shanghai, China","Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0002-5773-5089","affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043405654","display_name":"Xiongkuo Min","orcid":"https://orcid.org/0000-0001-5693-0416"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongkuo Min","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-5693-0416","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Zhai","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-8165-9322","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032888856"],"corresponding_institution_ids":["https://openalex.org/I4391012619"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1769979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"12","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9929999709129333,"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/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9033037424087524},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.46585991978645325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4572337567806244},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3432828187942505},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3306421637535095}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9033037424087524},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.46585991978645325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4572337567806244},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3432828187942505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3306421637535095}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3761816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761816","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3761816","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3761816","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3761816","source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3590675884","display_name":null,"funder_award_id":"62271312, 6213000376, 62101325, 62101326, and 62377011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4413332228.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1510835000","https://openalex.org/W1516807289","https://openalex.org/W1861492603","https://openalex.org/W1934890906","https://openalex.org/W1965305672","https://openalex.org/W1996168020","https://openalex.org/W1996819948","https://openalex.org/W2031878977","https://openalex.org/W2078903912","https://openalex.org/W2132303710","https://openalex.org/W2147675181","https://openalex.org/W2152864241","https://openalex.org/W2159475546","https://openalex.org/W2162216530","https://openalex.org/W2235901111","https://openalex.org/W2288514685","https://openalex.org/W2473208849","https://openalex.org/W2612135493","https://openalex.org/W2891396148","https://openalex.org/W2902078856","https://openalex.org/W2964114039","https://openalex.org/W2982104318","https://openalex.org/W3094544176","https://openalex.org/W3101228253","https://openalex.org/W3159926201","https://openalex.org/W3205353813","https://openalex.org/W4214755140","https://openalex.org/W4224281996","https://openalex.org/W4234259615","https://openalex.org/W4236965008","https://openalex.org/W4243723963","https://openalex.org/W4253303675","https://openalex.org/W4283727795","https://openalex.org/W4283730568","https://openalex.org/W4288050560","https://openalex.org/W4313145913","https://openalex.org/W4365509794","https://openalex.org/W4367279925","https://openalex.org/W4385732000","https://openalex.org/W4386320523","https://openalex.org/W4386736859","https://openalex.org/W4389747877","https://openalex.org/W4392007279","https://openalex.org/W4399073789","https://openalex.org/W4405755128","https://openalex.org/W4408100051","https://openalex.org/W4408281343","https://openalex.org/W6785134888"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0],"computer":[1],"graphics,":[2],"polygon":[3],"meshes":[4],"stand":[5],"out":[6],"as":[7,114,124,143],"a":[8,47,54,70,82,125],"popular":[9],"representation":[10],"providing":[11],"effective":[12],"delineation":[13],"of":[14,29,59,77],"delicate":[15],"textures":[16],"and":[17,96,105,135,147],"complex":[18,95],"geometries.":[19],"When":[20],"dealing":[21],"with":[22,74],"geometric":[23,116],"processing":[24],"tasks":[25,141],"for":[26,94,158],"critical":[27,133],"regions":[28],"the":[30,37],"mesh,":[31],"it":[32],"is":[33],"necessary":[34],"to":[35,42,131],"consider":[36],"human":[38],"visual":[39,90,137],"perception":[40],"related":[41],"saliency.":[43],"Therefore,":[44],"we":[45,80],"establish":[46],"novel":[48],"mesh":[49,64,83,98,144,160],"saliency":[50,84],"dataset,":[51],"facilitated":[52],"by":[53],"more":[55],"comprehensive":[56],"gathering":[57],"pipeline":[58],"eye-tracking":[60],"from":[61,110],"subjects":[62],"observing":[63],"models":[65],"at":[66],"arbitrary":[67],"viewpoints":[68],"in":[69,139],"virtual":[71],"reality":[72],"space":[73],"six":[75],"degrees":[76],"freedom.":[78],"Additionally,":[79],"propose":[81],"prediction":[85],"model":[86,101],"that":[87,151],"accurately":[88],"infers":[89],"attention":[91],"density":[92],"maps":[93],"irregular":[97],"surfaces.":[99],"This":[100],"integrates":[102],"surface":[103,121],"curvature":[104],"triangular":[106],"face":[107],"shape":[108],"information":[109],"multi-scale":[111],"neighboring":[112],"ranges":[113],"local":[115],"features,":[117],"while":[118],"also":[119],"leveraging":[120],"spatial":[122],"positioning":[123],"global":[126],"feature.":[127],"Our":[128],"work":[129],"aims":[130],"preserve":[132],"areas":[134],"minimize":[136],"loss":[138],"saliency-driven":[140],"such":[142],"simplification,":[145],"rendering,":[146],"texturing.":[148],"We":[149],"believe":[150],"our":[152],"research":[153],"can":[154],"offer":[155],"valuable":[156],"insights":[157],"human-centered":[159],"computation":[161],"applications.":[162]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}