{"id":"https://openalex.org/W3203398035","doi":"https://doi.org/10.1109/tpami.2021.3116945","title":"VideoDG: Generalizing Temporal Relations in Videos to Novel Domains","display_name":"VideoDG: Generalizing Temporal Relations in Videos to Novel Domains","publication_year":2021,"publication_date":"2021-10-02","ids":{"openalex":"https://openalex.org/W3203398035","doi":"https://doi.org/10.1109/tpami.2021.3116945","mag":"3203398035"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3116945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3116945","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine 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/A5049776517","display_name":"Zhiyu Yao","orcid":"https://orcid.org/0000-0003-2763-7653"},"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":true,"raw_author_name":"Zhiyu Yao","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713555","display_name":"Yunbo Wang","orcid":"https://orcid.org/0000-0002-6224-2481"},"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"]},{"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":"Yunbo Wang","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China","MoE Key Lab of AI, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"MoE Key Lab of AI, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373517","display_name":"Jianmin Wang","orcid":"https://orcid.org/0000-0001-6841-7943"},"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":"Jianmin Wang","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"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":"Philip S. Yu","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019241553","display_name":"Mingsheng Long","orcid":"https://orcid.org/0000-0001-9421-463X"},"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":"Mingsheng Long","raw_affiliation_strings":["School of Software, BNRist, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049776517"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.3311,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.90427303,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"44","issue":"11","first_page":"7989","last_page":"8004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9965000152587891,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9955000281333923,"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":0.7771398425102234},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7476114630699158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7161059379577637},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7085527777671814},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.6856163144111633},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6555328965187073},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6359734535217285},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4528048038482666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44053274393081665},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.405250608921051},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3319404125213623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2387532889842987},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13255000114440918}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7771398425102234},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7476114630699158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7161059379577637},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7085527777671814},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.6856163144111633},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6555328965187073},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6359734535217285},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4528048038482666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44053274393081665},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.405250608921051},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3319404125213623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2387532889842987},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13255000114440918},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tpami.2021.3116945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3116945","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1764920047","display_name":null,"funder_award_id":"62022050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5673503244","display_name":null,"funder_award_id":"Z201100006820041","funder_id":"https://openalex.org/F4320334978","funder_display_name":"Beijing Nova Program"},{"id":"https://openalex.org/G708800909","display_name":null,"funder_award_id":"61772299","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7091651887","display_name":null,"funder_award_id":"62021002","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/F4320334978","display_name":"Beijing Nova Program","ror":"https://ror.org/034k14f91"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W1522734439","https://openalex.org/W1920962657","https://openalex.org/W2016053056","https://openalex.org/W2104094955","https://openalex.org/W2105497548","https://openalex.org/W2126579184","https://openalex.org/W2194775991","https://openalex.org/W2507009361","https://openalex.org/W2593768305","https://openalex.org/W2619947201","https://openalex.org/W2736596806","https://openalex.org/W2770804203","https://openalex.org/W2798658180","https://openalex.org/W2888101838","https://openalex.org/W2894728917","https://openalex.org/W2955874753","https://openalex.org/W2958360136","https://openalex.org/W2963091558","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964094092","https://openalex.org/W2964134613","https://openalex.org/W2981368934","https://openalex.org/W2981385151","https://openalex.org/W2984192355","https://openalex.org/W2984287396","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2998446648","https://openalex.org/W3004943365","https://openalex.org/W3010293082","https://openalex.org/W3034373371","https://openalex.org/W3034972874","https://openalex.org/W3035413240","https://openalex.org/W3179233662","https://openalex.org/W4287728573","https://openalex.org/W4289639938","https://openalex.org/W4299356147","https://openalex.org/W6600983433","https://openalex.org/W6682132143","https://openalex.org/W6682864246","https://openalex.org/W6729814214","https://openalex.org/W6739901393","https://openalex.org/W6743837088","https://openalex.org/W6745454490","https://openalex.org/W6747225971","https://openalex.org/W6748426227","https://openalex.org/W6750109254","https://openalex.org/W6752160200","https://openalex.org/W6754923448","https://openalex.org/W6754947744","https://openalex.org/W6754950502","https://openalex.org/W6757613341","https://openalex.org/W6758853722","https://openalex.org/W6759129252","https://openalex.org/W6762618356","https://openalex.org/W6767680423","https://openalex.org/W6780233385","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W2118717649","https://openalex.org/W410723623","https://openalex.org/W2413243053","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2035068594","https://openalex.org/W2573498121","https://openalex.org/W3022298670","https://openalex.org/W4312352990","https://openalex.org/W2167883292"],"abstract_inverted_index":{"This":[0,58,93],"paper":[1,94],"introduces":[2],"video":[3,8,65,120,154,168,197],"domain":[4,39,66,169,202],"generalization":[5,67,170,203],"where":[6],"most":[7],"classification":[9,198],"networks":[10],"degenerate":[11],"due":[12,35],"to":[13,18,36,63,89,178],"the":[14,19,28,37,55,71,86,91,96,111,117,124,132,137,158,193],"lack":[15],"of":[16,22,54,74,119,134,146,162,183,195],"exposure":[17],"target":[20],"domains":[21,46,155,174],"divergent":[23],"distributions.":[24],"We":[25,165],"observe":[26],"that":[27,41,77,150],"global":[29],"temporal":[30,38,56],"features":[31,73,88,121,129],"are":[32,78,175],"less":[33],"generalizable,":[34,80],"shift":[40],"videos":[42],"from":[43],"other":[44],"unseen":[45],"may":[47],"have":[48],"an":[49],"unexpected":[50],"absence":[51],"or":[52,185],"misalignment":[53],"relations.":[57],"finding":[59],"has":[60],"motivated":[61],"us":[62],"solve":[64],"by":[68,122,156],"effectively":[69],"learning":[70],"local-relation":[72],"different":[75,153,179,181,186],"timescales":[76],"more":[79],"and":[81,127,143,160,200],"exploiting":[82],"them":[83],"along":[84],"with":[85,99],"global-relation":[87],"maintain":[90],"discriminability.":[92],"presents":[95],"VideoDG":[97,190],"framework":[98],"two":[100],"technical":[101],"contributions.":[102],"The":[103],"first":[104],"is":[105,140],"a":[106,141],"new":[107,142],"deep":[108],"architecture":[109],"named":[110],"Adversarial":[112],"Pyramid":[113],"Network,":[114],"which":[115,173],"improves":[116],"generalizability":[118],"capturing":[123],"local-relation,":[125],"global-relation,":[126],"cross-relation":[128],"progressively.":[130],"On":[131],"basis":[133],"pyramid":[135],"features,":[136],"second":[138],"contribution":[139],"robust":[144],"approach":[145],"adversarial":[147],"data":[148],"augmentation":[149],"can":[151],"bridge":[152],"improving":[157],"diversity":[159],"quality":[161],"augmented":[163],"data.":[164],"construct":[166],"three":[167],"benchmarks":[171],"in":[172],"divided":[176],"according":[177],"datasets,":[180],"consequences":[182],"actions,":[184],"camera":[187],"views,":[188],"respectively.":[189],"consistently":[191],"outperforms":[192],"combinations":[194],"previous":[196],"models":[199],"existing":[201],"methods":[204],"on":[205],"all":[206],"benchmarks.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2021-10-11T00:00:00"}