{"id":"https://openalex.org/W7140184711","doi":"https://doi.org/10.48550/arxiv.2603.20887","title":"Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning","display_name":"Scene Graph-guided SegCaptioning Transformer with Fine-grained Alignment for Controllable Video Segmentation and Captioning","publication_year":2026,"publication_date":"2026-03-21","ids":{"openalex":"https://openalex.org/W7140184711","doi":"https://doi.org/10.48550/arxiv.2603.20887"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20887","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20887","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.20887","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhang, Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yuan, Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Jin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yang, BinHong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, BinHong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Xuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Qianjun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Qianjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wang, Yuyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Zhiyong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhiyong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Zhang, Hanwang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hanwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"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":0.984499990940094,"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":0.984499990940094,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0031999999191612005,"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":0.0020000000949949026,"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/closed-captioning","display_name":"Closed captioning","score":0.8482000231742859},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6230999827384949},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6018999814987183},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.38850000500679016},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.38420000672340393},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.38109999895095825},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.37400001287460327}],"concepts":[{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.8482000231742859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379999995231628},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6230999827384949},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6018999814987183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5194000005722046},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3912000060081482},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.38109999895095825},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3495999872684479},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3276999890804291},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.310699999332428},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2540999948978424},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2535000145435333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20887","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20887","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.20887","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20887","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2],"multimodal":[3,20,37,192],"large":[4],"models":[5],"have":[6],"significantly":[7],"bridged":[8],"the":[9,16,124,130],"representation":[10],"gap":[11],"between":[12,158],"diverse":[13],"modalities,":[14],"catalyzing":[15],"evolution":[17],"of":[18,26,78,170],"video":[19,27,36],"interpretation,":[21],"which":[22,63],"enhances":[23],"users'":[24,168],"understanding":[25],"content":[28,126],"by":[29],"generating":[30,190],"correlated":[31,83],"modalities.":[32],"However,":[33],"most":[34],"existing":[35],"interpretation":[38],"methods":[39],"primarily":[40],"concentrate":[41],"on":[42,175],"global":[43],"comprehension":[44,169],"with":[45,129],"limited":[46],"user":[47,90,115,187,196],"interaction.":[48],"To":[49],"address":[50],"this,":[51],"we":[52],"propose":[53],"a":[54,72,105,137,148],"novel":[55],"task,":[56],"Controllable":[57],"Video":[58],"Segmentation":[59],"and":[60,85,113,161,189],"Captioning":[61],"(SegCaptioning),":[62],"empowers":[64],"users":[65],"to":[66,80,110,141,195],"provide":[67,155],"specific":[68],"prompts,":[69],"such":[70],"as":[71,152,154],"bounding":[73],"box":[74],"around":[75],"an":[76,118],"object":[77],"interest,":[79],"simultaneously":[81],"generate":[82],"masks":[84],"captions":[86],"that":[87,103,123,180],"precisely":[88],"embody":[89],"intent.":[91],"An":[92],"innovative":[93],"framework":[94],"Scene":[95],"Graph-guided":[96],"Fine-grained":[97,138],"SegCaptioning":[98],"Transformer":[99],"(SG-FSCFormer)":[100],"is":[101,200],"designed":[102],"integrates":[104],"Prompt-guided":[106],"Temporal":[107],"Graph":[108],"Former":[109],"effectively":[111,185],"captures":[112],"represents":[114],"intent":[116,188],"through":[117],"adaptive":[119],"prompt":[120],"adaptor,":[121],"ensuring":[122],"generated":[125],"well":[127,153],"aligns":[128],"user's":[131],"requirements.":[132],"Furthermore,":[133],"our":[134],"model":[135],"introduces":[136],"Mask-linguistic":[139],"Decoder":[140],"collaboratively":[142],"predict":[143],"high-quality":[144],"caption-mask":[145],"pairs":[146],"using":[147],"Multi-entity":[149],"Contrastive":[150],"loss,":[151],"fine-grained":[156],"alignment":[157],"each":[159],"mask":[160],"its":[162],"corresponding":[163],"caption":[164],"tokens,":[165],"thereby":[166],"enhancing":[167],"videos.":[171],"Comprehensive":[172],"experiments":[173],"conducted":[174],"two":[176],"benchmark":[177],"datasets":[178],"demonstrate":[179],"SG-FSCFormer":[181],"achieves":[182],"remarkable":[183],"performance,":[184],"capturing":[186],"precise":[191],"outputs":[193],"tailored":[194],"specifications.":[197],"Our":[198],"code":[199],"available":[201],"at":[202],"https://github.com/XuZhang1211/SG-FSCFormer.":[203]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-25T00:00:00"}
