{"id":"https://openalex.org/W4395069639","doi":"https://doi.org/10.1109/tip.2024.3390984","title":"Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering","display_name":"Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4395069639","doi":"https://doi.org/10.1109/tip.2024.3390984","pmid":"https://pubmed.ncbi.nlm.nih.gov/38656836"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3390984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3390984","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.09379","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101456347","display_name":"Ting Yu","orcid":"https://orcid.org/0000-0003-4348-2671"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ting Yu","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101731463","display_name":"K. S. Fu","orcid":"https://orcid.org/0009-0008-6139-509X"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunhao Fu","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042342029","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-6478-9192"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050817770","display_name":"Jun Yu","orcid":"https://orcid.org/0000-0003-1922-7283"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Yu","raw_affiliation_strings":["School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101456347"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":2.6651,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90949922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"3115","last_page":"3129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9922000169754028,"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":0.7556612491607666},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6546711325645447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6008024215698242},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5198198556900024},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5085288286209106},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46611812710762024},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.45803406834602356},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.439540833234787},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.41505512595176697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39698511362075806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556612491607666},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6546711325645447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6008024215698242},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5198198556900024},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5085288286209106},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46611812710762024},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.45803406834602356},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.439540833234787},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.41505512595176697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39698511362075806},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2024.3390984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3390984","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:38656836","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38656836","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:2410.09379","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.09379","pdf_url":"https://arxiv.org/pdf/2410.09379","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.09379","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.09379","pdf_url":"https://arxiv.org/pdf/2410.09379","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3292031857","display_name":null,"funder_award_id":"62002314","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4615975558","display_name":null,"funder_award_id":"6202010600","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4712290440","display_name":null,"funder_award_id":"LY23F020005","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5047941689","display_name":null,"funder_award_id":"LY23F02000","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G5348138716","display_name":null,"funder_award_id":"6212520","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6151690139","display_name":null,"funder_award_id":"62020106007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6570941292","display_name":null,"funder_award_id":"62125201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6688104968","display_name":null,"funder_award_id":"620023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6805594977","display_name":null,"funder_award_id":"202010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8061640963","display_name":null,"funder_award_id":"2020106","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"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4395069639.pdf","grobid_xml":"https://content.openalex.org/works/W4395069639.grobid-xml"},"referenced_works_count":88,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1889081078","https://openalex.org/W2139501017","https://openalex.org/W2194775991","https://openalex.org/W2277195237","https://openalex.org/W2606982687","https://openalex.org/W2765716052","https://openalex.org/W2766690867","https://openalex.org/W2808181286","https://openalex.org/W2886641317","https://openalex.org/W2896457183","https://openalex.org/W2904452845","https://openalex.org/W2908510526","https://openalex.org/W2951161814","https://openalex.org/W2952620298","https://openalex.org/W2954199749","https://openalex.org/W2962716332","https://openalex.org/W2962934715","https://openalex.org/W2962949233","https://openalex.org/W2963541336","https://openalex.org/W2963890755","https://openalex.org/W2964220823","https://openalex.org/W2974161034","https://openalex.org/W2981851019","https://openalex.org/W2982139784","https://openalex.org/W2997344006","https://openalex.org/W2998166190","https://openalex.org/W3016658915","https://openalex.org/W3023993913","https://openalex.org/W3027790991","https://openalex.org/W3034636873","https://openalex.org/W3034730770","https://openalex.org/W3035265375","https://openalex.org/W3035635319","https://openalex.org/W3105232955","https://openalex.org/W3122622502","https://openalex.org/W3126721948","https://openalex.org/W3159630763","https://openalex.org/W3168640669","https://openalex.org/W3175961224","https://openalex.org/W3193402170","https://openalex.org/W3197457832","https://openalex.org/W3199623264","https://openalex.org/W3204588463","https://openalex.org/W3217340782","https://openalex.org/W4205492448","https://openalex.org/W4226060302","https://openalex.org/W4229005866","https://openalex.org/W4285600797","https://openalex.org/W4295036294","https://openalex.org/W4295246696","https://openalex.org/W4296151206","https://openalex.org/W4312246181","https://openalex.org/W4312339522","https://openalex.org/W4312974690","https://openalex.org/W4313071966","https://openalex.org/W4313186260","https://openalex.org/W4318718936","https://openalex.org/W4385245566","https://openalex.org/W4385572712","https://openalex.org/W4394659899","https://openalex.org/W6637373629","https://openalex.org/W6639432524","https://openalex.org/W6682086655","https://openalex.org/W6754944153","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6757902542","https://openalex.org/W6758420182","https://openalex.org/W6762207533","https://openalex.org/W6766978945","https://openalex.org/W6768853884","https://openalex.org/W6784184991","https://openalex.org/W6791353385","https://openalex.org/W6792405717","https://openalex.org/W6798359198","https://openalex.org/W6800139874","https://openalex.org/W6801791115","https://openalex.org/W6803673840","https://openalex.org/W6804277322","https://openalex.org/W6810334672","https://openalex.org/W6811013733","https://openalex.org/W6811340617","https://openalex.org/W6838434436","https://openalex.org/W6843018836","https://openalex.org/W6849177959","https://openalex.org/W6864544085"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2965546495","https://openalex.org/W2975817033","https://openalex.org/W3112714922"],"abstract_inverted_index":{"Long-term":[0],"Video":[1],"Question":[2],"Answering":[3],"(VideoQA)":[4],"is":[5],"a":[6,127,154,164],"challenging":[7],"vision-and-language":[8],"bridging":[9],"task":[10,91,148,166],"focusing":[11],"on":[12,37,126,194],"semantic":[13,143],"understanding":[14],"of":[15,168,203],"untrimmed":[16],"long-term":[17,103],"videos":[18],"and":[19,62,87,130,183,189],"diverse":[20],"free-form":[21],"questions,":[22],"simultaneously":[23],"emphasizing":[24],"comprehensive":[25],"cross-modal":[26,63,107,180],"reasoning":[27],"to":[28,41,136,160,187],"yield":[29],"precise":[30],"answers.":[31],"The":[32],"canonical":[33],"approaches":[34],"often":[35,48],"rely":[36],"off-the-shelf":[38],"feature":[39],"extractors":[40],"detour":[42],"the":[43,55,138,147,169,174,177,201],"expensive":[44],"computation":[45],"overhead,":[46],"but":[47,81],"result":[49],"in":[50,84,90],"domain-independent":[51],"modality-unrelated":[52],"representations.":[53],"Furthermore,":[54],"inherent":[56],"gradient":[57],"blocking":[58],"between":[59],"unimodal":[60],"comprehension":[61],"interaction":[64],"hinders":[65],"reliable":[66],"answer":[67],"generation.":[68],"In":[69],"contrast,":[70],"recent":[71],"emerging":[72],"successful":[73],"video-language":[74],"pre-training":[75],"models":[76],"enable":[77],"cost-effective":[78],"end-to-end":[79,100],"modeling":[80],"fall":[82],"short":[83],"domain-specific":[85],"ratiocination":[86],"exhibit":[88],"disparities":[89],"formulation.":[92],"Toward":[93],"this":[94],"end,":[95],"we":[96,120,152],"present":[97],"an":[98],"entirely":[99],"solution":[101],"for":[102,179],"VideoQA:":[104],"Multi-granularity":[105,132],"Contrastive":[106,133],"collaborative":[108],"Generation":[109,157],"(MCG)":[110],"model.":[111],"To":[112,145],"derive":[113],"discriminative":[114],"representations":[115],"possessing":[116],"high":[117],"visual":[118],"concepts,":[119],"introduce":[121],"Joint":[122],"Unimodal":[123],"Modeling":[124],"(JUM)":[125],"clip-bone":[128],"architecture":[129],"leverage":[131],"Learning":[134],"(MCL)":[135],"harness":[137],"intrinsically":[139],"or":[140],"explicitly":[141],"exhibited":[142],"correspondences.":[144],"alleviate":[146],"formulation":[149],"discrepancy":[150],"problem,":[151],"propose":[153],"Cross-modal":[155],"Collaborative":[156],"(CCG)":[158],"module":[159],"reformulate":[161],"VideoQA":[162,198],"as":[163,186],"generative":[165],"instead":[167],"conventional":[170],"classification":[171],"scheme,":[172],"empowering":[173],"model":[175],"with":[176],"capability":[178],"high-semantic":[181],"fusion":[182],"generation":[184],"so":[185],"rationalize":[188],"answer.":[190],"Extensive":[191],"experiments":[192],"conducted":[193],"six":[195],"publicly":[196],"available":[197],"datasets":[199],"underscore":[200],"superiority":[202],"our":[204],"proposed":[205],"method.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
