{"id":"https://openalex.org/W7160382654","doi":"https://doi.org/10.48550/arxiv.2605.03398","title":"MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding","display_name":"MASRA: MLLM-Assisted Semantic-Relational Consistent Alignment for Video Temporal Grounding","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160382654","doi":"https://doi.org/10.48550/arxiv.2605.03398"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.03398","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03398","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.03398","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638440","display_name":"Ran Ran","orcid":"https://orcid.org/0000-0001-9350-1389"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ran, Ran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135431985","display_name":"Jiwei Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Jiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008993224","display_name":"Shuchang Zhou","orcid":"https://orcid.org/0000-0002-7294-5869"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Shuchang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135516186","display_name":"Yitong Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Yitong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120443899","display_name":"Shiyuan He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Shiyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135511615","display_name":"Zeyu Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zeyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135492344","display_name":"Yuyang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yuyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135528529","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-9575-4512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9546999931335449,"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":0.9546999931335449,"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":0.010599999688565731,"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":0.007899999618530273,"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/semantics","display_name":"Semantics (computer science)","score":0.7102000117301941},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6504999995231628},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6302000284194946},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6158000230789185},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5424000024795532},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5322999954223633},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5205000042915344},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.3752000033855438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3725000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656000256538391},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.7102000117301941},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6504999995231628},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6302000284194946},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6158000230789185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928999781608582},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5424000024795532},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5205000042915344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37720000743865967},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.3686000108718872},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.3093000054359436},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C127759330","wikidata":"https://www.wikidata.org/wiki/Q637416","display_name":"Codebook","level":2,"score":0.3001999855041504},{"id":"https://openalex.org/C27511587","wikidata":"https://www.wikidata.org/wiki/Q2178623","display_name":"Spatial relation","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2863999903202057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2777810175","wikidata":"https://www.wikidata.org/wiki/Q5416730","display_name":"Event structure","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.2547999918460846},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.03398","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03398","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.03398","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03398","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7417436242103577,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"Temporal":[1,84],"Grounding":[2],"(VTG)":[3],"faces":[4],"a":[5,48,113,171],"cross-modal":[6,182],"semantic":[7,158],"gap":[8],"that":[9,200],"often":[10],"leads":[11],"to":[12,26,61,93,153,174],"background":[13],"features":[14],"being":[15],"incorrectly":[16],"aligned":[17],"with":[18,71,90,124,170],"the":[19,24,96,125,131,156,181],"query,":[20],"while":[21,136],"directly":[22],"matching":[23],"query":[25],"moments":[27],"results":[28],"in":[29,130],"insufficient":[30],"discriminability":[31],"and":[32,74,77,100,103,121,149,160,179,191,205],"consistency":[33,135],"of":[34,65],"temporal":[35,72,88,101,126,134],"semantics.":[36],"To":[37],"address":[38],"this":[39],"issue,":[40],"we":[41,164],"propose":[42],"MLLM-Assisted":[43],"Semantic-Relational":[44],"Consistent":[45],"Alignment":[46,85,110,167],"(MASRA),":[47],"training-time":[49],"MLLM-based":[50],"optimization":[51],"framework":[52],"for":[53],"VTG.":[54],"MASRA":[55,141,201],"leverages":[56],"an":[57],"MLLM":[58,185],"during":[59,189],"training":[60,190],"produce":[62],"two":[63,79,143],"forms":[64],"textual":[66,114],"priors,":[67],"namely":[68],"event-level":[69],"descriptions":[70],"spans":[73],"clip-level":[75,119],"captions,":[76],"instantiates":[78],"MLLM-assisted":[80],"alignments.":[81],"Event":[82],"Semantic":[83],"(ESTA)":[86],"aligns":[87,122],"context":[89,159],"event":[91],"semantics":[92,99,178],"explicitly":[94],"strengthen":[95],"correspondence":[97],"between":[98],"events":[102],"improve":[104],"span-level":[105],"separability.":[106],"Local":[107],"Relational":[108],"Consistency":[109],"(LRCA)":[111],"constructs":[112],"relation":[115],"matrix":[116,129],"derived":[117],"from":[118],"captions":[120],"it":[123],"feature":[127],"similarity":[128],"model,":[132],"enhancing":[133],"capturing":[137],"local":[138],"structural":[139],"information.":[140],"includes":[142],"simple":[144],"supporting":[145],"modules,":[146],"semantic-guided":[147],"enhancement":[148],"second-order":[150],"relational":[151,161],"attention,":[152],"better":[154],"utilize":[155],"learned":[157],"structure.":[162],"Moreover,":[163],"introduce":[165],"Decoupled":[166],"Interaction":[168],"(DAI)":[169],"context-aware":[172],"codebook":[173],"adaptively":[175],"absorb":[176],"query-irrelevant":[177],"alleviate":[180],"gap.":[183],"The":[184],"is":[186,192],"only":[187],"invoked":[188],"not":[193],"used":[194],"at":[195],"inference.":[196],"Extensive":[197],"experiments":[198],"show":[199],"outperforms":[202],"existing":[203],"methods,":[204],"ablation":[206],"studies":[207],"validate":[208],"its":[209],"effectiveness.":[210]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-07T00:00:00"}