{"id":"https://openalex.org/W4320008746","doi":"https://doi.org/10.1109/tmm.2023.3238514","title":"Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding","display_name":"Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320008746","doi":"https://doi.org/10.1109/tmm.2023.3238514"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3238514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3238514","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5078220957","display_name":"Daizong Liu","orcid":"https://orcid.org/0000-0001-8179-4508"},"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":"Daizong Liu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China","Wangxuan Institute of Computer Technology, Peking University, No. 128, Zhongguancun North Street, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8179-4508","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, No. 128, Zhongguancun North Street, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083888610","display_name":"Xiang Fang","orcid":"https://orcid.org/0000-0003-3231-5771"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Fang","raw_affiliation_strings":["Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0003-3231-5771","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059045087","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0002-9860-0922"},"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":"Wei Hu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China","Wangxuan Institute of Computer Technology, Peking University, No. 128, Zhongguancun North Street, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9860-0922","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, No. 128, Zhongguancun North Street, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100693197","display_name":"Pan Zhou","orcid":"https://orcid.org/0000-0002-8629-4622"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhou","raw_affiliation_strings":["Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0000-0002-8629-4622","affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science and Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0418,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.95348399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"25","issue":null,"first_page":"8539","last_page":"8553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","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/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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"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":0.7422466278076172},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.719450831413269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6801419258117676},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5758057832717896},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5478125214576721},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49727609753608704},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.48876404762268066},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4670499861240387},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43306222558021545},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.350536048412323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3098459839820862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2412770390510559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7422466278076172},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.719450831413269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6801419258117676},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5758057832717896},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5478125214576721},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49727609753608704},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.48876404762268066},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4670499861240387},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43306222558021545},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.350536048412323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3098459839820862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2412770390510559},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3238514","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3238514","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3604809996","display_name":"\u57fa\u4e8e\u8c31\u56fe\u7406\u8bba\u7684\u591a\u5206\u8fa8\u7387\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7814\u7a76","funder_award_id":"61972009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5817064308","display_name":"\u534f\u4f5c\u5f0f\u79fb\u52a8\u8fb9\u7f18\u8ba1\u7b97\u4e2d\u7684\u9690\u79c1\u4fdd\u62a4\u7814\u7a76","funder_award_id":"61972448","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1927052826","https://openalex.org/W2111078031","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2337252826","https://openalex.org/W2766402183","https://openalex.org/W2798354744","https://openalex.org/W2890502146","https://openalex.org/W2894280539","https://openalex.org/W2903771523","https://openalex.org/W2904824998","https://openalex.org/W2948958195","https://openalex.org/W2962869524","https://openalex.org/W2963017553","https://openalex.org/W2963150697","https://openalex.org/W2963393391","https://openalex.org/W2963524571","https://openalex.org/W2963662190","https://openalex.org/W2963735856","https://openalex.org/W2963916161","https://openalex.org/W2964015378","https://openalex.org/W2964022527","https://openalex.org/W2964051675","https://openalex.org/W2964089981","https://openalex.org/W2964214371","https://openalex.org/W2964216549","https://openalex.org/W2970401629","https://openalex.org/W2970898753","https://openalex.org/W2971032914","https://openalex.org/W2971387592","https://openalex.org/W2974161034","https://openalex.org/W2983918066","https://openalex.org/W2997429269","https://openalex.org/W2997762001","https://openalex.org/W2998495542","https://openalex.org/W2998712570","https://openalex.org/W3025323587","https://openalex.org/W3027790991","https://openalex.org/W3034464851","https://openalex.org/W3034623254","https://openalex.org/W3034743747","https://openalex.org/W3035049560","https://openalex.org/W3035339529","https://openalex.org/W3035590142","https://openalex.org/W3035640828","https://openalex.org/W3069380482","https://openalex.org/W3088744711","https://openalex.org/W3092739351","https://openalex.org/W3093174808","https://openalex.org/W3100481960","https://openalex.org/W3101429639","https://openalex.org/W3120494681","https://openalex.org/W3128880094","https://openalex.org/W3135773387","https://openalex.org/W3157181916","https://openalex.org/W3166255651","https://openalex.org/W3174490084","https://openalex.org/W3175082063","https://openalex.org/W3176471072","https://openalex.org/W3176504418","https://openalex.org/W3176959780","https://openalex.org/W3181758331","https://openalex.org/W3186567887","https://openalex.org/W3187643134","https://openalex.org/W3194340077","https://openalex.org/W3211772574","https://openalex.org/W4205260486","https://openalex.org/W4214490042","https://openalex.org/W4221148477","https://openalex.org/W4221148502","https://openalex.org/W6640212811","https://openalex.org/W6682864246","https://openalex.org/W6719057275","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6761268011","https://openalex.org/W6763701032","https://openalex.org/W6766904570","https://openalex.org/W6810144392"],"related_works":["https://openalex.org/W2375873920","https://openalex.org/W2146114872","https://openalex.org/W2392060890","https://openalex.org/W2023355163","https://openalex.org/W2392760275","https://openalex.org/W4386083130","https://openalex.org/W2083530853","https://openalex.org/W2069571255","https://openalex.org/W3111737715","https://openalex.org/W2117442182"],"abstract_inverted_index":{"Temporal":[0],"sentence":[1,18],"grounding":[2],"aims":[3],"to":[4,15,84,108,127,209,238,259],"localize":[5],"a":[6,16,47,56,62,121,171,287],"target":[7],"segment":[8],"in":[9,67,90,132,155,166],"an":[10,51],"untrimmed":[11],"video":[12,53,57,93],"semantically":[13],"according":[14],"given":[17],"query.":[19],"Most":[20],"previous":[21],"works":[22],"focus":[23],"on":[24,271],"learning":[25],"frame-level":[26,80],"features":[27,131,208,263],"of":[28,61,87],"each":[29,133],"whole":[30],"frame":[31,45,54,134],"<xref":[32],"ref-type=\"fn\"":[33],"rid=\"fn1\"":[34],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[35,39,174,179,183,187,191,195],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><sup>1</sup></xref>":[36],"<fn":[37],"id=\"fn1\"":[38],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><label><sup>1</sup></label>":[40],"In":[41,106],"this":[42,167],"paper,":[43,168],"the":[44,68,76,85,138,151,163,212,219,261,265,282],"is":[46],"general":[48],"concept":[49],"for":[50,135,216,231,264],"actual":[52],"or":[55],"clip":[58],"which":[59,199],"consists":[60],"few":[63],"consecutive":[64,114,222],"frames.":[65,223],"</fn>":[66],"entire":[69],"video,":[70],"and":[71,98,177,205,234,243,251,278],"directly":[72],"match":[73],"them":[74],"with":[75,95],"textual":[77],"information.":[78],"Such":[79],"feature":[81],"extraction":[82],"leads":[83],"obstacles":[86],"these":[88,143],"methods":[89,118,144],"distinguishing":[91],"ambiguous":[92],"frames":[94],"complicated":[96],"contents":[97],"subtle":[99],"appearance":[100,111,252],"differences,":[101],"thus":[102],"limiting":[103],"their":[104],"performance.":[105],"order":[107],"differentiate":[109],"fine-grained":[110,240],"similarities":[112],"among":[113,221],"frames,":[115],"some":[116],"state-of-the-art":[117],"additionally":[119],"employ":[120],"detection":[122,153],"model":[123,285],"like":[124],"Faster":[125,156],"R-CNN":[126,157],"obtain":[128],"detailed":[129],"object-level":[130,207],"filtering":[136],"out":[137],"redundant":[139],"background":[140],"contents.":[141],"However,":[142],"suffer":[145],"from":[146,254],"missing":[147],"motion":[148,250],"analysis":[149],"since":[150],"object":[152,214,245],"module":[154],"lacks":[158],"temporal":[159],"modeling.":[160],"To":[161],"alleviate":[162],"above":[164],"limitations,":[165],"we":[169,225],"propose":[170],"novel":[172],"<bold":[173,178,182,186,190,194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</b>":[175],"otion-":[176],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">A</b>":[180],"ppearance-guided":[181],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</b>":[184],"D":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</b>":[188],"emantic":[189],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">R</b>":[192],"easoning":[193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">N</b>":[196],"etwork":[197],"(MA3SRN),":[198],"incorporates":[200],"optical-flow-guided":[201],"motion-aware,":[202],"detection-based":[203],"appearance-aware,":[204],"3D-aware":[206,244,262],"better":[210],"reason":[211],"spatial-temporal":[213],"relations":[215],"accurately":[217],"modelling":[218],"activity":[220],"Specifically,":[224],"first":[226],"develop":[227],"three":[228,272],"individual":[229],"branches":[230,256],"motion,":[232],"appearance,":[233],"3D":[235],"encoding":[236],"separately":[237],"learn":[239],"motion-guided,":[241],"appearance-guided,":[242],"features,":[246],"respectively.":[247],"Then,":[248],"both":[249],"information":[253],"corresponding":[255],"are":[257],"associated":[258],"enhance":[260],"final":[266],"precise":[267],"grounding.":[268],"Extensive":[269],"experiments":[270],"challenging":[273],"datasets":[274],"(ActivityNet":[275],"Caption,":[276],"Charades-STA":[277],"TACoS)":[279],"demonstrate":[280],"that":[281],"proposed":[283],"MA3SRN":[284],"achieves":[286],"new":[288],"state-of-the-art.":[289]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
