{"id":"https://openalex.org/W4402979880","doi":"https://doi.org/10.1109/icme57554.2024.10688143","title":"Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation","display_name":"Two-Step Temporal Divisive Clustering for Unsupervised Action Segmentation","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402979880","doi":"https://doi.org/10.1109/icme57554.2024.10688143"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10688143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5100315247","display_name":"Yule Liu","orcid":"https://orcid.org/0009-0005-4921-4610"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yule Liu","raw_affiliation_strings":["Dalian University of Technology,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025203987","display_name":"Zhuben Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuben Dong","raw_affiliation_strings":["Dalian University of Technology,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101525691","display_name":"Shenglan Liu","orcid":"https://orcid.org/0000-0002-2250-2365"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenglan Liu","raw_affiliation_strings":["Dalian University of Technology,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059712074","display_name":"Wujun Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujun Wen","raw_affiliation_strings":["Dalian University of Technology,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Feng","raw_affiliation_strings":["Dalian University of Technology,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15050701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9753999710083008,"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/T12290","display_name":"Human Motion and Animation","score":0.954200029373169,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7481825351715088},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556706428527832},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6150440573692322},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5077193975448608},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4627841114997864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7481825351715088},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556706428527832},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6150440573692322},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5077193975448608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4627841114997864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10688143","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10688143","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.46000000834465027,"display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,55,85],"goal":[1],"of":[2,58,75,108,116],"unsupervised":[3],"action":[4,14],"segmentation":[5],"(UAS)":[6],"is":[7,60,88,97],"to":[8,104,112],"classify":[9],"video":[10],"frames":[11],"into":[12],"predefined":[13],"classes,":[15,77],"which":[16,66],"can":[17],"be":[18],"considered":[19],"as":[20],"a":[21,123],"clustering":[22,33],"or":[23,38],"boundary":[24,83],"detection":[25],"problem.":[26],"Previous":[27],"research":[28],"utilizing":[29],"bottom-up":[30],"agglomerative":[31],"hierarchical":[32],"methods":[34],"suffers":[35],"from":[36,102],"over-segmentation":[37],"under-segmentation.":[39],"To":[40],"address":[41],"these":[42],"problems,":[43],"we":[44,121],"propose":[45],"the":[46,72,89,106,114,147],"Two-step":[47],"Temporal":[48,62],"Divisive":[49,63],"Clustering":[50,64],"(TTDC)":[51],"with":[52,126],"two":[53],"components.":[54],"first":[56],"step":[57,87],"TTDC":[59,145],"top-down":[61],"(TDC),":[65],"captures":[67,79],"global":[68],"contexts":[69,81],"by":[70,99],"comparing":[71],"intra-class":[73],"variances":[74],"different":[76],"and":[78,138],"local":[80],"through":[82],"detection.":[84],"second":[86],"Self-supervised":[90],"Soft":[91],"Boundary":[92],"Regression":[93],"Network":[94],"(SS-BRN).":[95],"SS-BRN":[96],"trained":[98],"soft":[100,127],"pseudo-labels":[101],"TDC":[103],"refine":[105],"boundaries":[107],"clusters.":[109],"In":[110],"addition,":[111],"alleviate":[113],"issue":[115],"low":[117],"confidence":[118],"in":[119],"pseudo-labels,":[120],"use":[122],"loss":[124],"function":[125],"pseudo-labels.":[128],"Our":[129],"empirical":[130],"evaluations":[131],"on":[132],"three":[133],"benchmarks":[134],"including":[135],"50Salads,":[136],"Breakfast,":[137],"MPII":[139],"Cooking":[140],"2":[141],"dataset":[142],"demonstrate":[143],"that":[144],"outperforms":[146],"state-of-the-art":[148],"methods.":[149]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}