{"id":"https://openalex.org/W4410342685","doi":"https://doi.org/10.1109/ncc63735.2025.10983639","title":"Revisiting Subject-Action Relevance for Egocentric Activity Recognition","display_name":"Revisiting Subject-Action Relevance for Egocentric Activity Recognition","publication_year":2025,"publication_date":"2025-03-06","ids":{"openalex":"https://openalex.org/W4410342685","doi":"https://doi.org/10.1109/ncc63735.2025.10983639"},"language":"en","primary_location":{"id":"doi:10.1109/ncc63735.2025.10983639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","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/A5069842286","display_name":"Manav Prabhakar","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manav Prabhakar","raw_affiliation_strings":["University of Michigan,Ann Arbor,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan,Ann Arbor,USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101353136","display_name":"Kovvuri Sai Gopal Reddy","orcid":null},"institutions":[{"id":"https://openalex.org/I26604189","display_name":"Shiv Nadar University","ror":"https://ror.org/05aqahr97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26604189"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kovvuri Sai Gopal Reddy","raw_affiliation_strings":["Shiv Nadar Institution of Eminence,Delhi NCR,India"],"affiliations":[{"raw_affiliation_string":"Shiv Nadar Institution of Eminence,Delhi NCR,India","institution_ids":["https://openalex.org/I26604189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070435685","display_name":"Snehasis Mukherjee","orcid":"https://orcid.org/0000-0002-2196-8980"},"institutions":[{"id":"https://openalex.org/I26604189","display_name":"Shiv Nadar University","ror":"https://ror.org/05aqahr97","country_code":"IN","type":"education","lineage":["https://openalex.org/I26604189"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Snehasis Mukherjee","raw_affiliation_strings":["Shiv Nadar Institution of Eminence,Delhi NCR,India"],"affiliations":[{"raw_affiliation_string":"Shiv Nadar Institution of Eminence,Delhi NCR,India","institution_ids":["https://openalex.org/I26604189"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069842286"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10878335,"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":0.9998000264167786,"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":0.9998000264167786,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9656000137329102,"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/relevance","display_name":"Relevance (law)","score":0.7476577162742615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6704793572425842},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.6431211233139038},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.6385273933410645},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5817716717720032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4429870843887329},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3824033737182617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.320956826210022},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07655555009841919},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.06445744633674622}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7476577162742615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6704793572425842},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.6431211233139038},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6385273933410645},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5817716717720032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4429870843887329},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3824033737182617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.320956826210022},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07655555009841919},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.06445744633674622},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc63735.2025.10983639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc63735.2025.10983639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2885914489","https://openalex.org/W2895299763","https://openalex.org/W2955874753","https://openalex.org/W2962858109","https://openalex.org/W2963082988","https://openalex.org/W2963524571","https://openalex.org/W2964222622","https://openalex.org/W2971680695","https://openalex.org/W2980037812","https://openalex.org/W2993447238","https://openalex.org/W3034667697","https://openalex.org/W3048602385","https://openalex.org/W3118648637","https://openalex.org/W3191973673","https://openalex.org/W3207426561","https://openalex.org/W4200367987","https://openalex.org/W4283026051","https://openalex.org/W4287122452","https://openalex.org/W4289740432","https://openalex.org/W4293209991","https://openalex.org/W4312592485","https://openalex.org/W4313118515","https://openalex.org/W4386076314","https://openalex.org/W4390873158","https://openalex.org/W6753924131","https://openalex.org/W6797263693","https://openalex.org/W6869786528"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3200517220","https://openalex.org/W2374569605","https://openalex.org/W2386062718","https://openalex.org/W1576128429","https://openalex.org/W2269464716"],"abstract_inverted_index":{"Understanding":[0],"and":[1,9,33,70,85,109,125,146],"modeling":[2,30,113],"the":[3,6,10,31,43,46,57,61,65,97,114,132,139,143],"relationship":[4,35],"between":[5],"noun":[7,32],"(subject)":[8],"verb":[11,34],"(action)":[12],"is":[13],"gaining":[14],"importance":[15],"for":[16,89,112,150,155],"recognizing":[17],"action":[18],"in":[19,22,67,73,92,100],"egocentric":[20],"videos,":[21,63],"recent":[23],"years.":[24],"The":[25],"existing":[26],"methods":[27],"focus":[28],"on":[29,121],"either":[36],"through":[37],"additional":[38],"modalities":[39],"or":[40],"by":[41],"increasing":[42],"dimensions":[44],"of":[45,141],"CNN":[47],"architectures.":[48],"Whereas,":[49],"we":[50,79],"aim":[51],"to":[52,131],"extract":[53],"features":[54],"from":[55],"only":[56],"visual":[58],"information,":[59],"i.e.,":[60],"raw":[62],"considering":[64],"difficulties":[66],"getting":[68],"audio":[69],"gaze":[71],"information":[72],"real-life":[74],"scenarios.":[75],"In":[76],"this":[77],"work,":[78],"introduce":[80],"a":[81,86,105,122],"novel":[82],"backbone":[83],"architecture":[84,99],"training":[87,148],"paradigm":[88],"activity":[90],"recognition":[91,158],"first-person":[93],"videos.":[94],"We":[95,117,136],"train":[96],"proposed":[98,144],"an":[101],"end-to-end":[102],"fashion":[103],"using":[104,142],"dual-level":[106],"fusion":[107],"(intermediate":[108],"late":[110],"fusion)":[111],"subject-action":[115],"relevance.":[116],"perform":[118],"our":[119],"experiments":[120],"benchmark":[123],"dataset":[124],"show":[126],"its":[127,147],"efficacy":[128],"with":[129],"respect":[130],"current":[133],"state-of-the-art":[134],"methods.":[135],"further":[137],"discuss":[138],"possibilities":[140],"network":[145],"process":[149],"obtaining":[151],"pre-trained":[152],"feature":[153],"representations":[154],"other":[156],"video":[157],"tasks.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
