{"id":"https://openalex.org/W4396215030","doi":"https://doi.org/10.1109/tpami.2024.3393730","title":"Uncertainty-Boosted Robust Video Activity Anticipation","display_name":"Uncertainty-Boosted Robust Video Activity Anticipation","publication_year":2024,"publication_date":"2024-04-29","ids":{"openalex":"https://openalex.org/W4396215030","doi":"https://doi.org/10.1109/tpami.2024.3393730","pmid":"https://pubmed.ncbi.nlm.nih.gov/38683715"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3393730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3393730","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5044171641","display_name":"Zhaobo Qi","orcid":"https://orcid.org/0000-0001-9196-9818"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaobo Qi","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100669242","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0002-5931-0527"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014774434","display_name":"Weigang Zhang","orcid":"https://orcid.org/0000-0003-0042-7074"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weigang Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","Peng Cheng Laboratory, Shenzhen, China","Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044171641"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":2.7801,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91232251,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"46","issue":"12","first_page":"7775","last_page":"7792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9771999716758728,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.935699999332428,"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/interpretability","display_name":"Interpretability","score":0.7497249841690063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6941044330596924},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.5995469689369202},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5854817032814026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5460436940193176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5038279891014099},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.4343389868736267},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.42285093665122986},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35280299186706543},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2742002606391907}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7497249841690063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6941044330596924},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.5995469689369202},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5854817032814026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5460436940193176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5038279891014099},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.4343389868736267},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.42285093665122986},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35280299186706543},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2742002606391907},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3393730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3393730","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38683715","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38683715","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,"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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1535954828","display_name":null,"funder_award_id":"62306092","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4199693610","display_name":null,"funder_award_id":"62236008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W1483019628","https://openalex.org/W1536680647","https://openalex.org/W2069266605","https://openalex.org/W2091158010","https://openalex.org/W2103328396","https://openalex.org/W2109698606","https://openalex.org/W2111959010","https://openalex.org/W2342437993","https://openalex.org/W2398886555","https://openalex.org/W2422305492","https://openalex.org/W2472970127","https://openalex.org/W2507009361","https://openalex.org/W2561529111","https://openalex.org/W2605300166","https://openalex.org/W2741156154","https://openalex.org/W2742903236","https://openalex.org/W2751802138","https://openalex.org/W2763331099","https://openalex.org/W2777985721","https://openalex.org/W2779943048","https://openalex.org/W2780253814","https://openalex.org/W2800438594","https://openalex.org/W2895299763","https://openalex.org/W2913636123","https://openalex.org/W2945792291","https://openalex.org/W2962875398","https://openalex.org/W2963150791","https://openalex.org/W2963167203","https://openalex.org/W2963570630","https://openalex.org/W2963691377","https://openalex.org/W2963692464","https://openalex.org/W2963720581","https://openalex.org/W2963798496","https://openalex.org/W2964030506","https://openalex.org/W2978968642","https://openalex.org/W2981774933","https://openalex.org/W2981958729","https://openalex.org/W2984287396","https://openalex.org/W2990152177","https://openalex.org/W2993447238","https://openalex.org/W2995301359","https://openalex.org/W3014596384","https://openalex.org/W3034479628","https://openalex.org/W3035336958","https://openalex.org/W3035376925","https://openalex.org/W3035739915","https://openalex.org/W3081090156","https://openalex.org/W3091846787","https://openalex.org/W3092708970","https://openalex.org/W3092798182","https://openalex.org/W3093246508","https://openalex.org/W3093718041","https://openalex.org/W3096383329","https://openalex.org/W3106884574","https://openalex.org/W3109667662","https://openalex.org/W3123326873","https://openalex.org/W3126311953","https://openalex.org/W3132567969","https://openalex.org/W3133092047","https://openalex.org/W3134774296","https://openalex.org/W3156973125","https://openalex.org/W3161260844","https://openalex.org/W3175928291","https://openalex.org/W3176051609","https://openalex.org/W3176420923","https://openalex.org/W3192880336","https://openalex.org/W3199862516","https://openalex.org/W3203313189","https://openalex.org/W3207426561","https://openalex.org/W3207758636","https://openalex.org/W4214555767","https://openalex.org/W4281971810","https://openalex.org/W4312660844","https://openalex.org/W4312772544","https://openalex.org/W4312873759","https://openalex.org/W4313023218","https://openalex.org/W4378715720","https://openalex.org/W4382073747","https://openalex.org/W4385474093","https://openalex.org/W4386076167","https://openalex.org/W4389116512","https://openalex.org/W4389260584","https://openalex.org/W4390873483","https://openalex.org/W4394593168","https://openalex.org/W4394625740","https://openalex.org/W4402951675","https://openalex.org/W6684488266","https://openalex.org/W6688167117","https://openalex.org/W6745420753","https://openalex.org/W6748758124","https://openalex.org/W6749916090","https://openalex.org/W6757619437","https://openalex.org/W6801505099","https://openalex.org/W6803462455","https://openalex.org/W6853094906","https://openalex.org/W6855028917","https://openalex.org/W6858493508","https://openalex.org/W6859010121","https://openalex.org/W6859769594"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W3108503355","https://openalex.org/W2888392564","https://openalex.org/W2980176872","https://openalex.org/W4226420367","https://openalex.org/W2809283485","https://openalex.org/W4293768783","https://openalex.org/W4288347394"],"abstract_inverted_index":{"Video":[0],"activity":[1,83,117,129,135],"anticipation":[2,84,96],"aims":[3],"to":[4,61,90,103,112],"predict":[5],"what":[6],"will":[7],"happen":[8],"in":[9,41,108,172],"the":[10,25,28,34,50,73,92,95,109,114,121,134,138,143,149,156,177,182],"future,":[11],"embracing":[12],"a":[13,105,126,168],"broad":[14],"application":[15],"prospect":[16],"ranging":[17],"from":[18,137],"robot":[19],"vision":[20],"and":[21,38,54,65,77,142,161,189,197],"autonomous":[22],"driving.":[23],"Despite":[24],"recent":[26],"progress,":[27],"data":[29],"uncertainty":[30,74,88,99,150,157,173,179],"issue,":[31],"reflected":[32],"as":[33],"content":[35],"evolution":[36,136],"process":[37],"dynamic":[39],"correlation":[40,141],"event":[42],"labels,":[43],"has":[44],"been":[45],"somehow":[46],"ignored.":[47],"This":[48,164],"reduces":[49],"model":[51],"generalization":[52],"ability":[53],"deep":[55],"understanding":[56],"on":[57,181,186],"video":[58,82],"content,":[59],"leading":[60],"serious":[62],"error":[63],"accumulation":[64],"degraded":[66],"performance.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71,124,147],"address":[72],"learning":[75],"problem":[76],"propose":[78],"an":[79],"uncertainty-boosted":[80],"robust":[81],"framework,":[85],"which":[86],"generates":[87],"values":[89,153,180],"indicate":[91],"credibility":[93],"of":[94],"results.":[97],"The":[98],"value":[100],"is":[101],"used":[102],"derive":[104],"temperature":[106],"parameter":[107],"softmax":[110],"function":[111],"modulate":[113],"predicted":[115],"target":[116,128],"distribution.":[118],"To":[119],"guarantee":[120],"distribution":[122],"adjustment,":[123],"construct":[125],"reasonable":[127],"label":[130],"representation":[131],"by":[132,154],"incorporating":[133],"temporal":[139],"class":[140],"semantic":[144],"relationship.":[145],"Moreover,":[146],"quantify":[148],"into":[151],"relative":[152,165],"comparing":[155],"among":[158],"sample":[159],"pairs":[160],"their":[162],"temporal-lengths.":[163],"strategy":[166],"provides":[167],"more":[169],"accessible":[170],"way":[171],"modeling":[174],"than":[175],"quantifying":[176],"absolute":[178],"whole":[183],"dataset.":[184],"Experiments":[185],"multiple":[187],"backbones":[188],"benchmarks":[190],"show":[191],"our":[192],"framework":[193],"achieves":[194],"promising":[195],"performance":[196],"better":[198],"robustness/interpretability.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
