{"id":"https://openalex.org/W3016138237","doi":"https://doi.org/10.1109/icassp40776.2020.9054195","title":"Hierarchical Sequence Representation with Graph Network","display_name":"Hierarchical Sequence Representation with Graph Network","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016138237","doi":"https://doi.org/10.1109/icassp40776.2020.9054195","mag":"3016138237"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9054195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100392725","display_name":"Da Chen","orcid":"https://orcid.org/0000-0002-5062-0270"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Da Chen","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074920063","display_name":"Xiang Wu","orcid":"https://orcid.org/0000-0002-9732-628X"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Wu","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008417257","display_name":"Jianfeng Dong","orcid":"https://orcid.org/0000-0001-5244-3274"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Dong","raw_affiliation_strings":["Alibaba-Zhejiang University Joint Institute of Frontier Technologies"],"affiliations":[{"raw_affiliation_string":"Alibaba-Zhejiang University Joint Institute of Frontier Technologies","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802340","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6885-1341"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337747","display_name":"Hui Xue","orcid":"https://orcid.org/0000-0002-2093-2839"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xue","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090590984","display_name":"Feng Mao","orcid":"https://orcid.org/0000-0001-6171-3168"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Mao","raw_affiliation_strings":["Alibaba Group"],"affiliations":[{"raw_affiliation_string":"Alibaba Group","institution_ids":["https://openalex.org/I4210095624"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100392725"],"corresponding_institution_ids":["https://openalex.org/I4210095624"],"apc_list":null,"apc_paid":null,"fwci":0.1963,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48016116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2288","last_page":"2292"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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":0.8384000658988953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7262840270996094},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5780900120735168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5504820346832275},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5392704010009766},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.52895188331604},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5135176777839661},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5129453539848328},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4943976402282715},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41814738512039185},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41600242257118225},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534010052680969},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2569608986377716},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13874083757400513}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384000658988953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7262840270996094},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5780900120735168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5504820346832275},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5392704010009766},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.52895188331604},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5135176777839661},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5129453539848328},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4943976402282715},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41814738512039185},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41600242257118225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534010052680969},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2569608986377716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13874083757400513},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9054195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9054195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:purehost.bath.ac.uk:openaire_cris_publications/dc89254d-72c7-4352-8b7d-852c93233a59","is_oa":false,"landing_page_url":"https://researchportal.bath.ac.uk/en/publications/dc89254d-72c7-4352-8b7d-852c93233a59","pdf_url":null,"source":{"id":"https://openalex.org/S4377196294","display_name":"Pure (University of Bath)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I51601045","host_organization_name":"University of Bath","host_organization_lineage":["https://openalex.org/I51601045"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Chen, D, Wu, X, Dong, J, He, Y, Xue, H & Mao, F 2020, 'Hierarchical sequence representation with graph network', Paper presented at 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020, Barcelona, Spain, 4/05/20 - 8/05/20.","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1923404803","https://openalex.org/W2025653905","https://openalex.org/W2064675550","https://openalex.org/W2116435618","https://openalex.org/W2139009685","https://openalex.org/W2157331557","https://openalex.org/W2183341477","https://openalex.org/W2519887557","https://openalex.org/W2524365899","https://openalex.org/W2963149042","https://openalex.org/W2964015378","https://openalex.org/W2964347220","https://openalex.org/W2975813532","https://openalex.org/W6640257725","https://openalex.org/W6677326919","https://openalex.org/W6685670348","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Video":[0,157],"classification":[1,103],"problem":[2],"is":[3,15,75],"a":[4,31,44,100,107,144],"challenging":[5],"task":[6,14],"in":[7,92],"computer":[8],"vision.":[9],"The":[10,68,114],"performance":[11,69],"of":[12,21,27,70,81,120,124],"this":[13,96],"highly":[16],"relied":[17],"on":[18,106,133,154],"the":[19,25,54,65,78,82,85,93,118,121,125,134,139,149,166],"scale":[20],"training":[22],"data":[23],"and":[24,47,84,127,142],"effectiveness":[26,174],"video":[28,55,102,135,145,176],"embedding":[29,33,130],"via":[30],"robust":[32],"network.":[34],"Unsupervised":[35],"solutions":[36],"such":[37,60],"as":[38,43,61],"feature":[39,131],"average":[40],"pooling":[41],"technique,":[42],"simple":[45],"label-independent":[46],"parameter-free":[48],"based":[49,72,105,170],"method,":[50],"cannot":[51],"efficiently":[52],"represent":[53],"sequences.":[56],"While":[57],"supervised":[58],"methods,":[59,73],"RNN,":[62],"can":[63],"improve":[64],"recognition":[66],"accuracy.":[67],"RNN":[71,169],"however,":[74],"decreased":[76],"with":[77],"increasing":[79],"length":[80],"videos":[83],"hierarchical":[86,122],"relationships":[87],"between":[88],"frames":[89],"across":[90],"events":[91],"video.":[94],"In":[95],"paper,":[97],"we":[98],"propose":[99],"novel":[101],"method":[104,116],"deep":[108],"convolutional":[109],"graph":[110,140],"neural":[111],"network":[112],"(DCGN).":[113],"proposed":[115,163],"utilizes":[117],"characteristics":[119],"structure":[123],"video,":[126],"performed":[128],"multi-level":[129],"extraction":[132],"frame":[136],"sequence":[137],"through":[138],"network,":[141],"obtained":[143],"representation":[146],"which":[147],"reflects":[148],"event":[150],"semantics":[151],"hierarchically.":[152],"Experiments":[153],"YouTube-8M":[155],"Large-Scale":[156],"Understanding":[158],"dataset":[159],"show":[160],"that":[161],"our":[162],"model":[164],"outperforms":[165],"commonly":[167],"used":[168],"models,":[171],"verifying":[172],"its":[173],"for":[175],"classification.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
