{"id":"https://openalex.org/W3159314595","doi":"https://doi.org/10.1109/icpr48806.2021.9412697","title":"Activity and Relationship Modeling Driven Weakly Supervised Object Detection","display_name":"Activity and Relationship Modeling Driven Weakly Supervised Object Detection","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3159314595","doi":"https://doi.org/10.1109/icpr48806.2021.9412697","mag":"3159314595"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5019905811","display_name":"Yinlin Li","orcid":"https://orcid.org/0000-0001-6732-2352"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinlin Li","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Qian","orcid":null},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Qian","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066602975","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-8394-9224"},"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/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Yang","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002690636","display_name":"Yuren Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuren Zhang","raw_affiliation_strings":["ByteDance, Beijing, China"],"affiliations":[{"raw_affiliation_string":"ByteDance, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019905811"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":0.0971,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3649332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":null,"first_page":"9628","last_page":"9634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9976000189781189,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.996999979019165,"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/leverage","display_name":"Leverage (statistics)","score":0.7876649498939514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7358452081680298},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7314532995223999},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6605154275894165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658308744430542},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6205158233642578},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6178146600723267},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5879659652709961},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.41314899921417236},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40457338094711304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3905643820762634}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7876649498939514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7358452081680298},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7314532995223999},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6605154275894165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658308744430542},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6205158233642578},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6178146600723267},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5879659652709961},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.41314899921417236},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40457338094711304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3905643820762634}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2796124788","display_name":null,"funder_award_id":"2017YFB1300200,2017YFB1300203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8367396318","display_name":null,"funder_award_id":"61702516,51705515,61627808","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W830163325","https://openalex.org/W874179280","https://openalex.org/W1522301498","https://openalex.org/W1976546217","https://openalex.org/W2088049833","https://openalex.org/W2129947832","https://openalex.org/W2295107390","https://openalex.org/W2494236530","https://openalex.org/W2519284461","https://openalex.org/W2604260814","https://openalex.org/W2740962769","https://openalex.org/W2806070179","https://openalex.org/W2813911573","https://openalex.org/W2883697687","https://openalex.org/W2925742741","https://openalex.org/W2926593466","https://openalex.org/W2950384519","https://openalex.org/W2950557962","https://openalex.org/W2954345245","https://openalex.org/W2955882737","https://openalex.org/W2962844592","https://openalex.org/W2963097937","https://openalex.org/W2963441581","https://openalex.org/W2963603913","https://openalex.org/W2963949812","https://openalex.org/W2963952323","https://openalex.org/W2964121744","https://openalex.org/W2964222622","https://openalex.org/W2964225075","https://openalex.org/W2990400263","https://openalex.org/W2991662170","https://openalex.org/W2994041372","https://openalex.org/W2997150218","https://openalex.org/W3007474934","https://openalex.org/W3009811369","https://openalex.org/W3081835325","https://openalex.org/W6735463952","https://openalex.org/W6752404337"],"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/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,78,94],"weakly":[4,51,132],"supervised":[5,52,133],"object":[6,27,39,55,63,96,113,134],"detection":[7,97,135],"method":[8,53],"based":[9,69],"on":[10,70,91,120],"activity":[11,41],"label":[12],"and":[13,26,33,40,62,67,103,114,123],"relationship":[14,80],"modeling,":[15],"which":[16],"is":[17],"motivated":[18],"by":[19],"the":[20,44,100,112,127,130],"assumption":[21],"that":[22],"configuration":[23],"of":[24,36,46,74,129],"human":[25,61],"are":[28,65,88,107,118],"similar":[29],"in":[30],"same":[31],"activity,":[32],"joint":[34],"modeling":[35],"human,":[37],"active":[38,60],"could":[42],"leverage":[43],"recognition":[45],"them.":[47],"Compared":[48],"to":[49,109],"most":[50],"taking":[54],"as":[56],"independent":[57],"instance,":[58],"firstly,":[59],"proposals":[64],"learned":[66,89],"filtered":[68],"class":[71],"activation":[72],"map":[73],"multi-label":[75],"classification.":[76],"Secondly,":[77],"spatial":[79,101],"prior":[81,102],"including":[82],"relative":[83],"position,":[84],"scale,":[85],"overlaps":[86],"etc":[87],"dependent":[90],"action.":[92],"Finally,":[93],"multi-stream":[95],"framework":[98],"integrating":[99],"pairwise":[104],"ROI":[105],"pooling":[106],"proposed":[108],"jointly":[110],"learn":[111],"action":[115],"class.":[116],"Experiments":[117],"conducted":[119],"HICO-DET":[121],"dataset,":[122],"our":[124],"approach":[125],"outperforms":[126],"state":[128],"art":[131],"methods.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
