{"id":"https://openalex.org/W4399568547","doi":"https://doi.org/10.1109/tetci.2024.3409707","title":"Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios","display_name":"Gp3Former: Gaussian Prior Tri-Cascaded Transformer for Video Instance Segmentation in Livestreaming Scenarios","publication_year":2024,"publication_date":"2024-06-12","ids":{"openalex":"https://openalex.org/W4399568547","doi":"https://doi.org/10.1109/tetci.2024.3409707"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3409707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3409707","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5108776022","display_name":"Wensheng Li","orcid":"https://orcid.org/0009-0006-1496-4013"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Li","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032383728","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-1290-0738"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1290-0738","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448036","display_name":"Zhuo Li","orcid":"https://orcid.org/0000-0002-9937-2669"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhuo","raw_affiliation_strings":["Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9937-2669","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.1731,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45109273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"9","issue":"1","first_page":"770","last_page":"784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9889000058174133,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9829999804496765,"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/transformer","display_name":"Transformer","score":0.5831539630889893},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5795407891273499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5579196214675903},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5102484226226807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49291443824768066},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38532814383506775},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37528693675994873},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12916171550750732},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10578528046607971},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09236401319503784},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.050172001123428345}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5831539630889893},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5795407891273499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5579196214675903},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5102484226226807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49291443824768066},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38532814383506775},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37528693675994873},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12916171550750732},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10578528046607971},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09236401319503784},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.050172001123428345},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3409707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3409707","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5228175158","display_name":null,"funder_award_id":"61971016","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":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W2470139095","https://openalex.org/W2963091558","https://openalex.org/W2963150697","https://openalex.org/W2965391153","https://openalex.org/W2965898445","https://openalex.org/W2982723417","https://openalex.org/W2995962724","https://openalex.org/W3033114334","https://openalex.org/W3045477169","https://openalex.org/W3094502228","https://openalex.org/W3096609285","https://openalex.org/W3109372619","https://openalex.org/W3110109236","https://openalex.org/W3119026898","https://openalex.org/W3136015878","https://openalex.org/W3138516171","https://openalex.org/W3139267983","https://openalex.org/W3171516518","https://openalex.org/W3173980723","https://openalex.org/W3181286780","https://openalex.org/W3182236906","https://openalex.org/W3202509201","https://openalex.org/W4200527712","https://openalex.org/W4200629187","https://openalex.org/W4205622807","https://openalex.org/W4211032934","https://openalex.org/W4213312439","https://openalex.org/W4214613769","https://openalex.org/W4293732316","https://openalex.org/W4310925503","https://openalex.org/W4312275238","https://openalex.org/W4312294051","https://openalex.org/W4312573566","https://openalex.org/W4312734171","https://openalex.org/W4312823573","https://openalex.org/W4312827004","https://openalex.org/W4312914306","https://openalex.org/W4313007769","https://openalex.org/W4313053893","https://openalex.org/W4313591362","https://openalex.org/W4317438569","https://openalex.org/W4319004953","https://openalex.org/W4319663728","https://openalex.org/W4321488077","https://openalex.org/W4322730835","https://openalex.org/W4362657847","https://openalex.org/W4367595576","https://openalex.org/W4379984073","https://openalex.org/W4386065815","https://openalex.org/W4386071623","https://openalex.org/W4386076040","https://openalex.org/W4390872599","https://openalex.org/W6795901243","https://openalex.org/W6796494355","https://openalex.org/W6797162190","https://openalex.org/W6798442695","https://openalex.org/W6803680838","https://openalex.org/W6809716307","https://openalex.org/W6839371072","https://openalex.org/W6848927509"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W3204400600"],"abstract_inverted_index":{"Livestreaming":[0],"platforms":[1],"attract":[2],"many":[3],"active":[4],"streamers":[5],"and":[6,9,28,53,111,140,174,184],"daily":[7],"users,":[8],"their":[10],"public":[11],"opinion":[12],"power":[13],"poses":[14],"a":[15,39,61,92,132,148],"major":[16],"challenge":[17],"to":[18,46,77,98,100,124,142],"network":[19,31],"regulation.":[20],"Video":[21],"scene":[22,43,119],"understanding":[23],"can":[24,107],"promote":[25],"the":[26,47,72,79,101,127,144,165],"efficiency":[27,161],"quality":[29],"of":[30,49,81,147,150,162,190],"regulation,":[32],"in":[33,56,104,130],"which":[34,106,181],"video":[35,68,82,187],"instance":[36,69,89,113,138,188],"segmentation":[37,141,189],"is":[38,75,96,135,182],"fundamental":[40],"task":[41],"for":[42,67,87,186],"understanding.":[44],"Due":[45],"presence":[48],"small,":[50],"dense":[51,128],"instances":[52,129],"fast-changing":[54,102],"scenes":[55,103],"livestreaming":[57,191],"scenarios,":[58],"we":[59],"propose":[60],"Gaussian":[62,133,145],"prior":[63,134],"tri-cascaded":[64,93],"Transformer":[65,94],"Gp3Former":[66],"segmentation.":[70,90],"First,":[71],"Mask2Former-VIS":[73],"encoder":[74],"used":[76],"enhance":[78],"representation":[80],"features":[83,114],"at":[84],"different":[85],"scales":[86],"small":[88],"Then,":[91],"decoder":[95],"designed":[97],"adapt":[99],"livestreaming,":[105,131],"extract":[108],"global,":[109],"balanced,":[110],"local":[112],"while":[115],"sacrificing":[116],"as":[117,121],"little":[118],"information":[120],"possible.":[122],"Finally,":[123],"cope":[125],"with":[126,158],"imposed":[136],"during":[137],"association":[139],"learn":[143],"distribution":[146],"series":[149],"cross-frame":[151],"instances.":[152],"The":[153],"experimental":[154],"results":[155],"show":[156],"that":[157],"an":[159],"inference":[160],"19.6":[163],"FPS,":[164],"proposed":[166],"method":[167],"reaches":[168],"50.6%AP,":[169],"50.0%AR":[170],"on":[171,177],"YouTube-VIS":[172],"2019,":[173],"82.9%AP,":[175],"82.3%AR":[176],"self-built":[178],"BJUT-LSD,":[179],"respectively,":[180],"effective":[183],"superior":[185],"scenarios.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}