{"id":"https://openalex.org/W4386076265","doi":"https://doi.org/10.1109/cvpr52729.2023.00244","title":"Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning","display_name":"Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386076265","doi":"https://doi.org/10.1109/cvpr52729.2023.00244"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100731314","display_name":"Peng Jin","orcid":"https://orcid.org/0000-0003-2228-131X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Jin","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China","School of Electronic and Computer Engineering, Peking University, Shenzhen, China","AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110947034","display_name":"Jinfa Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfa Huang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China","School of Electronic and Computer Engineering, Peking University, Shenzhen, China","AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065035829","display_name":"Pengfei Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengfei Xiong","raw_affiliation_strings":["Shopee,Shenzhen,China","Shopee, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shopee,Shenzhen,China","institution_ids":[]},{"raw_affiliation_string":"Shopee, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019381882","display_name":"Shangxuan Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shangxuan Tian","raw_affiliation_strings":["Shopee,Shenzhen,China","Shopee, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shopee,Shenzhen,China","institution_ids":[]},{"raw_affiliation_string":"Shopee, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353141","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0001-5560-7203"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Tsinghua University,Department of Automation and BNRist,Beijing,China","Department of Automation and BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation and BNRist,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024401174","display_name":"Xiangyang Ji","orcid":"https://orcid.org/0000-0002-7333-9975"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Ji","raw_affiliation_strings":["Tsinghua University,Department of Automation and BNRist,Beijing,China","Department of Automation and BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation and BNRist,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation and BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114973666","display_name":"Yuan Li","orcid":"https://orcid.org/0000-0002-1938-8856"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yuan","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China","School of Electronic and Computer Engineering, Peking University, Shenzhen, China","AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100332984","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9765-4523"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University,Shenzhen,China","AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","School of Electronic and Computer Engineering, Peking University, Shenzhen, China","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University,Shenzhen,China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"AI for Science (AI4S)-Preferred Program, Peking University Shenzhen Graduate School, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100731314"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":6.631,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.97805762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"2472","last_page":"2482"},"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":0.9993000030517578,"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":0.9968000054359436,"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":0.8114957809448242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4995737075805664},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.46437305212020874},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4595375061035156},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.4482276737689972},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.377961665391922},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3655998110771179},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.22550585865974426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8114957809448242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4995737075805664},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.46437305212020874},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4595375061035156},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.4482276737689972},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.377961665391922},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3655998110771179},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.22550585865974426},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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":63,"referenced_works":["https://openalex.org/W1495267737","https://openalex.org/W2009662043","https://openalex.org/W2038127015","https://openalex.org/W2091836314","https://openalex.org/W2103691541","https://openalex.org/W2123838014","https://openalex.org/W2268194897","https://openalex.org/W2425121537","https://openalex.org/W2510508396","https://openalex.org/W2596164567","https://openalex.org/W2765716052","https://openalex.org/W2798991696","https://openalex.org/W2885775891","https://openalex.org/W2897439619","https://openalex.org/W2963017553","https://openalex.org/W2963916161","https://openalex.org/W2964241990","https://openalex.org/W3008569663","https://openalex.org/W3009561768","https://openalex.org/W3035356601","https://openalex.org/W3035524453","https://openalex.org/W3043840704","https://openalex.org/W3121356232","https://openalex.org/W3128401049","https://openalex.org/W3130796238","https://openalex.org/W3145450063","https://openalex.org/W3145807616","https://openalex.org/W3153005511","https://openalex.org/W3167092180","https://openalex.org/W3168640669","https://openalex.org/W3169472988","https://openalex.org/W3174873881","https://openalex.org/W3175888430","https://openalex.org/W3197457832","https://openalex.org/W3204588463","https://openalex.org/W3204670646","https://openalex.org/W4211220176","https://openalex.org/W4212774754","https://openalex.org/W4221146248","https://openalex.org/W4280635869","https://openalex.org/W4285606530","https://openalex.org/W4290058858","https://openalex.org/W4290874851","https://openalex.org/W4295990387","https://openalex.org/W4297808394","https://openalex.org/W4297899894","https://openalex.org/W4312299780","https://openalex.org/W4312372711","https://openalex.org/W4312530435","https://openalex.org/W4312761939","https://openalex.org/W4312954271","https://openalex.org/W4312991156","https://openalex.org/W4312999114","https://openalex.org/W4313196315","https://openalex.org/W6766582784","https://openalex.org/W6774314701","https://openalex.org/W6784184991","https://openalex.org/W6791353385","https://openalex.org/W6796494063","https://openalex.org/W6797109355","https://openalex.org/W6804277322","https://openalex.org/W6846822233","https://openalex.org/W6854368142"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2379392295","https://openalex.org/W3160965418","https://openalex.org/W613940353","https://openalex.org/W2320915480","https://openalex.org/W2362990116","https://openalex.org/W2381300099","https://openalex.org/W2795079307","https://openalex.org/W2460166022","https://openalex.org/W2095628993"],"abstract_inverted_index":{"Contrastive":[0],"learning-based":[1],"video-language":[2],"representation":[3],"learning":[4],"approaches,":[5],"e.g.,":[6],"CLIP,":[7],"have":[8,32,181],"achieved":[9],"outstanding":[10],"performance,":[11],"which":[12,180],"pursue":[13],"semantic":[14,64,141],"interaction":[15,25,65],"upon":[16],"pre-defined":[17],"video-text":[18,48],"pairs.":[19],"To":[20,97],"clarify":[21],"this":[22,43],"coarse-grained":[23],"global":[24],"and":[26,71,88,93,107,121,150],"move":[27],"a":[28,170,182],"step":[29],"further,":[30],"we":[31,45,75,135],"to":[33,57,81,173],"encounter":[34],"challenging":[35],"shell-breaking":[36],"interactions":[37],"for":[38,91],"fine-grained":[39,63],"cross-modal":[40,95,178],"learning.":[41],"In":[42],"paper,":[44],"creatively":[46],"model":[47],"as":[49,169],"game":[50,55,102],"players":[51],"with":[52,66,154],"multivariate":[53],"cooperative":[54,101,137],"theory":[56],"wisely":[58],"handle":[59],"the":[60,100,111,115,123,127,158,175,186],"uncertainty":[61],"during":[62],"diverse":[67],"granularity,":[68],"flexible":[69],"combination,":[70],"vague":[72],"intensity.":[73],"Concretely,":[74],"propose":[76],"Hierarchical":[77],"Banzhaf":[78,124],"Interaction":[79,125],"(HBI)":[80],"value":[82],"possible":[83],"correspondence":[84],"between":[85,126],"video":[86,105,117],"frames":[87,106,118],"text":[89,109],"words":[90],"sensitive":[92],"explainable":[94],"contrast.":[96],"efficiently":[98],"realize":[99],"of":[103,160,177],"multiple":[104,108],"words,":[110],"proposed":[112],"method":[113],"clusters":[114],"original":[116],"(text":[119],"words)":[120],"computes":[122],"merged":[128],"tokens.":[129],"By":[130],"stacking":[131],"token":[132],"merge":[133],"modules,":[134],"achieve":[136],"games":[138],"at":[139,192],"different":[140],"levels.":[142],"Extensive":[143],"experiments":[144],"on":[145,185],"commonly":[146],"used":[147],"text-video":[148],"retrieval":[149],"video-question":[151],"answering":[152],"bench-marks":[153],"superior":[155],"performances":[156],"justify":[157],"efficacy":[159],"our":[161],"HBI.":[162],"More":[163],"encouragingly,":[164],"it":[165],"can":[166],"also":[167],"serve":[168],"visualization":[171],"tool":[172],"promote":[174],"understanding":[176],"interaction,":[179],"far-reaching":[183],"impact":[184],"community.":[187],"Project":[188],"page":[189],"is":[190],"available":[191],"https://jpthu17.github.io/HBI/.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":10}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
