{"id":"https://openalex.org/W3207454933","doi":"https://doi.org/10.1109/tpami.2021.3120745","title":"Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language","display_name":"Multi-Scale 2D Temporal Adjacency Networks for Moment Localization With Natural Language","publication_year":2021,"publication_date":"2021-10-20","ids":{"openalex":"https://openalex.org/W3207454933","doi":"https://doi.org/10.1109/tpami.2021.3120745","mag":"3207454933","pmid":"https://pubmed.ncbi.nlm.nih.gov/34665720"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2021.3120745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3120745","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","pubmed"],"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/A5100747794","display_name":"Songyang Zhang","orcid":"https://orcid.org/0000-0003-4316-3320"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Songyang Zhang","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080495327","display_name":"Houwen Peng","orcid":"https://orcid.org/0000-0001-8544-8952"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houwen Peng","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072029041","display_name":"Jianlong Fu","orcid":"https://orcid.org/0000-0002-1025-2012"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianlong Fu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059027378","display_name":"Yijuan Lu","orcid":"https://orcid.org/0000-0002-9855-8365"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijuan Lu","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["Department of Computer Science, University of Rochester, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100747794"],"corresponding_institution_ids":["https://openalex.org/I5388228"],"apc_list":null,"apc_paid":null,"fwci":4.5633,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.95914872,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"44","issue":"12","first_page":"9073","last_page":"9087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","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/T11714","display_name":"Multimodal Machine Learning Applications","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/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9987999796867371,"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":0.6557005643844604},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.6459081172943115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5851809978485107},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5708542466163635},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5591826438903809},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5014967918395996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4892239570617676},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.4672778844833374},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4427946209907532},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43407705426216125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2350667119026184},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.17138394713401794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1448434293270111},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12716332077980042}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6557005643844604},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.6459081172943115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5851809978485107},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5708542466163635},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5591826438903809},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5014967918395996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4892239570617676},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.4672778844833374},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4427946209907532},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43407705426216125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2350667119026184},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.17138394713401794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1448434293270111},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12716332077980042},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2021.3120745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2021.3120745","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"},{"id":"pmid:34665720","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34665720","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8014859039","display_name":null,"funder_award_id":"IIS-1813709","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8064785932","display_name":null,"funder_award_id":"IIS-1722847","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"},{"id":"https://openalex.org/G8718334423","display_name":null,"funder_award_id":"IIS-1704337","funder_id":"https://openalex.org/F4320335353","funder_display_name":"National Science Foundation of Sri Lanka"}],"funders":[{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522301498","https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1924343884","https://openalex.org/W1926243429","https://openalex.org/W1942126453","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2108598243","https://openalex.org/W2111078031","https://openalex.org/W2250539671","https://openalex.org/W2337252826","https://openalex.org/W2341058432","https://openalex.org/W2766402183","https://openalex.org/W2798354744","https://openalex.org/W2808647806","https://openalex.org/W2889185481","https://openalex.org/W2890502146","https://openalex.org/W2891456603","https://openalex.org/W2891939431","https://openalex.org/W2893119168","https://openalex.org/W2894280539","https://openalex.org/W2895583029","https://openalex.org/W2897628926","https://openalex.org/W2904824998","https://openalex.org/W2931886155","https://openalex.org/W2946567085","https://openalex.org/W2948958195","https://openalex.org/W2949789546","https://openalex.org/W2950534130","https://openalex.org/W2951748488","https://openalex.org/W2961051133","https://openalex.org/W2962869524","https://openalex.org/W2963017553","https://openalex.org/W2963095467","https://openalex.org/W2963393391","https://openalex.org/W2963524571","https://openalex.org/W2963541336","https://openalex.org/W2963662190","https://openalex.org/W2963916161","https://openalex.org/W2964089981","https://openalex.org/W2964216549","https://openalex.org/W2964232540","https://openalex.org/W2966848258","https://openalex.org/W2970401629","https://openalex.org/W2970898753","https://openalex.org/W2981750465","https://openalex.org/W2982763192","https://openalex.org/W2983918066","https://openalex.org/W2996173702","https://openalex.org/W2997429269","https://openalex.org/W2997706915","https://openalex.org/W2997762001","https://openalex.org/W2998495542","https://openalex.org/W2998712570","https://openalex.org/W2998841681","https://openalex.org/W3015468748","https://openalex.org/W3025323587","https://openalex.org/W3034623254","https://openalex.org/W3034743747","https://openalex.org/W3035339529","https://openalex.org/W3035640828","https://openalex.org/W3100481960","https://openalex.org/W3101429639","https://openalex.org/W3129089995","https://openalex.org/W3176444885","https://openalex.org/W3178087530","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640109428","https://openalex.org/W6754478056","https://openalex.org/W6761268011","https://openalex.org/W6761423549","https://openalex.org/W6765624886","https://openalex.org/W6767057606","https://openalex.org/W6767457941","https://openalex.org/W6776048684"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W1550139912"],"abstract_inverted_index":{"We":[0,162],"address":[1],"the":[2,29,36,52,63,86,93,96,121,144,164,181,184],"problem":[3,20],"of":[4,31,72,89,142,183],"retrieving":[5],"a":[6,18,22,70,90,127,133],"specific":[7],"moment":[8,24,91,137],"from":[9],"an":[10],"untrimmed":[11,37],"video":[12,67,105,157],"by":[13,69],"natural":[14],"language.":[15],"It":[16,139],"is":[17,140],"challenging":[19,169],"because":[21],"target":[23],"may":[25],"take":[26],"place":[27],"in":[28,35],"context":[30,65],"other":[32,94],"temporal":[33,53,56,64,78,100,117,123,146],"moments":[34,68,106,158],"video.":[38],"Existing":[39],"methods":[40],"cannot":[41],"tackle":[42],"this":[43,59],"challenge":[44],"well":[45],"since":[46],"they":[47],"do":[48],"not":[49],"fully":[50],"consider":[51],"contexts":[54,114,147],"between":[55,66],"moments.":[57],"In":[58],"paper,":[60],"we":[61,125],"model":[62],"set":[71],"predefined":[73],"two-dimensional":[74],"maps":[75,101],"under":[76],"different":[77,108,116],"scales.":[79,118],"For":[80],"each":[81,149],"map,":[82],"one":[83],"dimension":[84],"indicates":[85,95],"starting":[87],"time":[88],"and":[92,175],"duration.":[97],"These":[98],"2D":[99,122],"can":[102],"cover":[103],"diverse":[104],"with":[107,159],"lengths,":[109],"while":[110,151],"representing":[111],"their":[112],"adjacent":[113,145],"at":[115,148],"Based":[119],"on":[120,167],"maps,":[124],"propose":[126],"Multi-Scale":[128],"Temporal":[129],"Adjacency":[130],"Network":[131],"(MS-2D-TAN),":[132],"single-shot":[134],"framework":[135],"for":[136,155],"localization.":[138],"capable":[141],"encoding":[143],"scale,":[150],"learning":[152],"discriminative":[153],"features":[154],"matching":[156],"referring":[160],"expressions.":[161],"evaluate":[163],"proposed":[165],"MS-2D-TAN":[166,179],"three":[168],"benchmarks,":[170],"i.e.,":[171],"Charades-STA,":[172],"ActivityNet":[173],"Captions,":[174],"TACoS,":[176],"where":[177],"our":[178],"outperforms":[180],"state":[182],"art.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":10}],"updated_date":"2026-04-06T07:47:59.780226","created_date":"2025-10-10T00:00:00"}
