{"id":"https://openalex.org/W3096993243","doi":"https://doi.org/10.1109/tip.2020.3044448","title":"Learning Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding","display_name":"Learning Event Representations for Temporal Segmentation of Image Sequences by Dynamic Graph Embedding","publication_year":2020,"publication_date":"2020-12-18","ids":{"openalex":"https://openalex.org/W3096993243","doi":"https://doi.org/10.1109/tip.2020.3044448","mag":"3096993243","pmid":"https://pubmed.ncbi.nlm.nih.gov/33338018"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.3044448","doi":"https://doi.org/10.1109/tip.2020.3044448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3044448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1910.03483","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049794092","display_name":"Mariella Dimiccoli","orcid":"https://orcid.org/0000-0002-2669-400X","observed_orcids":["https://orcid.org/0000-0002-2669-400X"]},"institutions":[{"id":"https://openalex.org/I4210093282","display_name":"Institut de Rob\u00f2tica i Inform\u00e0tica Industrial","ror":"https://ror.org/00mcdyn90","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210093282","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Mariella Dimiccoli","raw_affiliation_strings":["Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC, Barcelona, Spain","[Polytechnic University of Catalonia]"],"raw_orcid":"https://orcid.org/0000-0002-2669-400X","affiliations":[{"raw_affiliation_string":"Institut de Rob\u00f2tica i Inform\u00e0tica Industrial, CSIC-UPC, Barcelona, Spain","institution_ids":["https://openalex.org/I4210093282","https://openalex.org/I9617848"]},{"raw_affiliation_string":"[Polytechnic University of Catalonia]","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008685312","display_name":"Herwig Wendt","orcid":"https://orcid.org/0000-0001-6930-3083","observed_orcids":["https://orcid.org/0000-0001-6930-3083"]},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210119061","display_name":"Institut de Recherche en Informatique de Toulouse","ror":"https://ror.org/01rx4qw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I205747304","https://openalex.org/I4210119061","https://openalex.org/I4210152422","https://openalex.org/I4405258862","https://openalex.org/I4405259414"]},{"id":"https://openalex.org/I4405258862","display_name":"Universit\u00e9 de Toulouse","ror":"https://ror.org/01ahyrz84","country_code":"FR","type":"education","lineage":["https://openalex.org/I4405258862"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Herwig Wendt","raw_affiliation_strings":["Institut de Recherche en Informatique de Toulouse, CNRS, University of Toulouse, Toulouse, France"],"raw_orcid":"https://orcid.org/0000-0001-6930-3083","affiliations":[{"raw_affiliation_string":"Institut de Recherche en Informatique de Toulouse, CNRS, University of Toulouse, Toulouse, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210119061","https://openalex.org/I4405258862"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.336,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.52961962,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"1476","last_page":"1486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.24130000174045563,"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/T11439","display_name":"Video Analysis and Summarization","score":0.24130000174045563,"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":0.24060000479221344,"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":0.10830000042915344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/temporal-segmentation","display_name":"temporal segmentation","score":0.7990000247955322},{"id":"https://openalex.org/keywords/image-sequences","display_name":"image sequences","score":0.8970000147819519},{"id":"https://openalex.org/keywords/event-representation","display_name":"event representation","score":0.7749999761581421},{"id":"https://openalex.org/keywords/dynamic-graph-embedding","display_name":"dynamic graph embedding","score":0.9580000042915344},{"id":"https://openalex.org/keywords/graph-learning","display_name":"graph learning","score":0.6499999761581421},{"id":"https://openalex.org/keywords/self-supervised-learning","display_name":"self-supervised learning","score":0.8379999995231628},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.6740000247955322},{"id":"https://openalex.org/keywords/human-motion-segmentation","display_name":"human motion segmentation","score":0.8679999709129333}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6925865411758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844357848167419},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6005148887634277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5969173908233643},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5409529805183411},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5407097935676575},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.5050802826881409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3350820541381836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24988588690757751}],"mesh":[],"locations_count":10,"locations":[{"id":"doi:10.1109/tip.2020.3044448","doi":"https://doi.org/10.1109/tip.2020.3044448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.3044448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:33338018","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33338018","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,"listed_in":[],"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 image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1910.03483","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.03483","pdf_url":"https://arxiv.org/pdf/1910.03483","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2979310489","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1910.03483v1","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"mag:3096993243","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1910.03483","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:HAL:hal-03109960v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-03109960","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 2021, 30, pp.1476-1486. ⟨10.1109/TIP.2020.3044448⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:digital.csic.es:10261/235074","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10261/235074","pdf_url":null,"source":{"id":"https://openalex.org/S4306400616","display_name":"DIGITAL.CSIC (Spanish National Research Council (CSIC))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I134820265","host_organization_name":"Consejo Superior de Investigaciones Cient\u00edficas","host_organization_lineage":["https://openalex.org/I134820265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"},{"id":"pmh:oai:upcommons.upc.edu:2117/343742","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/343742","pdf_url":null,"source":{"id":"https://openalex.org/S4377196262","display_name":"UPCommons institutional repository (Universitat Polit\u00e8cnica de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9617848","host_organization_name":"Universitat Polit\u00e8cnica de Catalunya","host_organization_lineage":["https://openalex.org/I9617848"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.1910.03483","doi":"https://doi.org/10.48550/arxiv.1910.03483","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1910.03483","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,"listed_in":[],"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"},{"id":"doi:10.17023/gxbc-cv96","doi":"https://doi.org/10.17023/gxbc-cv96","is_oa":true,"landing_page_url":"https://doi.org/10.17023/gxbc-cv96","pdf_url":null,"source":{"id":"https://openalex.org/S7407051697","display_name":"IEEE RESOURCE CENTERS","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Audiovisual"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1910.03483","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1910.03483","pdf_url":"https://arxiv.org/pdf/1910.03483","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G100543663","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"},{"id":"https://openalex.org/G2673512141","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G8265486946","display_name":null,"funder_award_id":"RED2018-102511-T","funder_id":"https://openalex.org/F4320321837","funder_display_name":"Ministerio de Econom\u00eda y Competitividad"}],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"},{"id":"https://openalex.org/F4320321837","display_name":"Ministerio de Econom\u00eda y Competitividad","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3096993243.pdf","grobid_xml":"https://content.openalex.org/works/W3096993243.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W225975350","https://openalex.org/W637153065","https://openalex.org/W1522734439","https://openalex.org/W1888005072","https://openalex.org/W1890623278","https://openalex.org/W1910566948","https://openalex.org/W1973771202","https://openalex.org/W1988478419","https://openalex.org/W1990833761","https://openalex.org/W1998130204","https://openalex.org/W1999509736","https://openalex.org/W2016723506","https://openalex.org/W2025589645","https://openalex.org/W2028204211","https://openalex.org/W2030445831","https://openalex.org/W2036739593","https://openalex.org/W2044248322","https://openalex.org/W2071711566","https://openalex.org/W2076605490","https://openalex.org/W2090891622","https://openalex.org/W2097073572","https://openalex.org/W2099736636","https://openalex.org/W2100495367","https://openalex.org/W2117051369","https://openalex.org/W2133979846","https://openalex.org/W2139009685","https://openalex.org/W2142258645","https://openalex.org/W2142535891","https://openalex.org/W2154851992","https://openalex.org/W2158261396","https://openalex.org/W2161302724","https://openalex.org/W2161827960","https://openalex.org/W2162762857","https://openalex.org/W2183341477","https://openalex.org/W2219839555","https://openalex.org/W2240571584","https://openalex.org/W2287077125","https://openalex.org/W2288436206","https://openalex.org/W2387462954","https://openalex.org/W2393319904","https://openalex.org/W2402363875","https://openalex.org/W2404723690","https://openalex.org/W2406128552","https://openalex.org/W2415243320","https://openalex.org/W2468907370","https://openalex.org/W2512901275","https://openalex.org/W2519015518","https://openalex.org/W2547599103","https://openalex.org/W2554779556","https://openalex.org/W2558748708","https://openalex.org/W2605384636","https://openalex.org/W2624431344","https://openalex.org/W2700550412","https://openalex.org/W2755092149","https://openalex.org/W2769743454","https://openalex.org/W2770468159","https://openalex.org/W2796431263","https://openalex.org/W2798585159","https://openalex.org/W2886599970","https://openalex.org/W2887412014","https://openalex.org/W2889731794","https://openalex.org/W2911940123","https://openalex.org/W2954218619","https://openalex.org/W2962756421","https://openalex.org/W2962767366","https://openalex.org/W2963425704","https://openalex.org/W2963460103","https://openalex.org/W2963631366","https://openalex.org/W2964145825","https://openalex.org/W2966156373","https://openalex.org/W3012613560","https://openalex.org/W3024798372","https://openalex.org/W3034889886","https://openalex.org/W4285719527","https://openalex.org/W6726253183"],"related_works":["https://openalex.org/W2979310489","https://openalex.org/W2911940123","https://openalex.org/W3164147793","https://openalex.org/W2954218619","https://openalex.org/W7166808433","https://openalex.org/W4320536885","https://openalex.org/W2402957941","https://openalex.org/W4393150119","https://openalex.org/W4205215677","https://openalex.org/W2900157177"],"abstract_inverted_index":{"Recently,":[0],"self-supervised":[1,167],"learning":[2,69],"has":[3],"proved":[4],"to":[5,8,107,151,217],"be":[6,89],"effective":[7,220],"learn":[9,108],"representations":[10,71,219],"of":[11,26,86,104,136,163,202,241,257],"events":[12,21],"suitable":[13],"for":[14,68,221],"temporal":[15,99,134,192,222,229],"segmentation":[16,230],"in":[17,60],"image":[18,204],"sequences,":[19],"where":[20],"are":[22,31],"understood":[23],"as":[24,34],"sets":[25],"temporally":[27],"adjacent":[28],"images":[29,87],"that":[30,83,94,170,189,212],"semantically":[32],"perceived":[33],"a":[35,65,84,92,186],"whole.":[36],"However,":[37],"although":[38],"this":[39,61],"approach":[40,67],"does":[41,172],"not":[42,173],"require":[43,174],"expensive":[44],"manual":[45],"annotations,":[46],"it":[47,171,226],"is":[48,82,106,169],"data":[49,138,143,149,157,184],"hungry":[50],"and":[51,98,112,133,145,193,234],"suffers":[52],"from":[53,182],"domain":[54],"adaptation":[55],"problems.":[56],"As":[57],"an":[58],"alternative,":[59],"work,":[62],"we":[63],"propose":[64],"novel":[66],"event":[70,218],"named":[72],"Dynamic":[73],"Graph":[74],"Embedding":[75],"(DGE).":[76],"The":[77,101,160],"assumption":[78],"underlying":[79],"our":[80],"model":[81],"sequence":[85],"can":[88],"represented":[90],"by":[91,121],"graph":[93,111,114,129,158],"encodes":[95],"both":[96],"semantic":[97,132,194],"similarity.":[100,195],"key":[102],"novelty":[103],"DGE":[105,119,164,215],"jointly":[109],"the":[110,128,131,137,141,148,155,183,213,232,239,242,254,258],"its":[113,117],"embedding.":[115],"At":[116],"core,":[118],"works":[120],"iterating":[122],"over":[123,165],"two":[124,199,247],"steps:":[125],"1)":[126],"updating":[127,147],"representing":[130],"similarity":[135],"based":[139],"on":[140,198,231,246],"current":[142,156],"representation,":[144],"2)":[146],"representation":[150],"take":[152],"into":[153],"account":[154],"structure.":[159],"main":[161],"advantage":[162],"state-of-the-art":[166],"approaches":[168],"any":[175],"training":[176],"set,":[177],"but":[178],"instead":[179],"learns":[180],"iteratively":[181],"itself":[185],"low-dimensional":[187],"embedding":[188],"reflects":[190],"their":[191],"Experimental":[196],"results":[197],"benchmark":[200,236,251],"datasets":[201,252],"real":[203],"sequences":[205],"captured":[206],"at":[207],"regular":[208],"time":[209],"intervals":[210],"demonstrate":[211,253],"proposed":[214,259],"leads":[216],"segmentation.":[223],"In":[224],"particular,":[225],"achieves":[227],"robust":[228],"EDUBSeg":[233],"EDUBSeg-Desc":[235],"datasets,":[237],"outperforming":[238],"state":[240],"art.":[243],"Additional":[244],"experiments":[245],"Human":[248],"Motion":[249],"Segmentation":[250],"generalization":[255],"capabilities":[256],"DGE.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-11-09T00:00:00"}