{"id":"https://openalex.org/W4404031006","doi":"https://doi.org/10.1109/icccnt61001.2024.10725774","title":"Human Activity Identification and Classification using Deep Learning","display_name":"Human Activity Identification and Classification using Deep Learning","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404031006","doi":"https://doi.org/10.1109/icccnt61001.2024.10725774"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725774","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5091387078","display_name":"Jayant Kumar Yadav","orcid":"https://orcid.org/0000-0001-6333-2107"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jayant Yadav","raw_affiliation_strings":["Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024669319","display_name":"Priyansh Jain","orcid":"https://orcid.org/0000-0002-0507-4178"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyansh Jain","raw_affiliation_strings":["Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075071258","display_name":"Pintu Kumar Ram","orcid":"https://orcid.org/0000-0003-1969-5255"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pintu Kumar Ram","raw_affiliation_strings":["Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053510344","display_name":"Archana Singh","orcid":"https://orcid.org/0000-0001-5365-6351"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Archana Singh","raw_affiliation_strings":["Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Amity University,Department of Artificial Intelligence,Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I191972202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091387078"],"corresponding_institution_ids":["https://openalex.org/I191972202"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19896631,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.8671000003814697,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.8671000003814697,"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/identification","display_name":"Identification (biology)","score":0.695233166217804},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670500040054321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5844650268554688},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4503322243690491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3667483329772949},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.060982316732406616}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.695233166217804},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670500040054321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5844650268554688},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4503322243690491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3667483329772949},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.060982316732406616},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725774","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725774","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2012557818","https://openalex.org/W2112676096","https://openalex.org/W2550797816","https://openalex.org/W2587369645","https://openalex.org/W2794284562","https://openalex.org/W2884001105","https://openalex.org/W2946254251","https://openalex.org/W2962715563","https://openalex.org/W2972118594","https://openalex.org/W2992424090","https://openalex.org/W2998086661","https://openalex.org/W3013682536","https://openalex.org/W3195079929","https://openalex.org/W3198221794","https://openalex.org/W4297371842","https://openalex.org/W4306394127","https://openalex.org/W4324331352","https://openalex.org/W4385413458","https://openalex.org/W4391345087","https://openalex.org/W6704286305","https://openalex.org/W6760565541","https://openalex.org/W6774314701"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W4321369474","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"XKD,":[3],"a":[4,42],"new":[5],"self-supervised":[6,37],"system":[7],"built":[8],"to":[9,26,132],"distill":[10],"meaningful":[11],"representations":[12,29],"from":[13,30],"unlabeled":[14],"video":[15,100,110,140],"data.":[16],"XKD":[17,108],"uses":[18],"two":[19],"core":[20],"pseudo-goals:":[21],"reconstruction":[22],"of":[23,39,48,87],"masked":[24],"data":[25],"obtain":[27],"modality-specific":[28],"both":[31],"audio":[32,62],"and":[33,36,63,79,123,134],"visual":[34,64],"streams,":[35],"cross-distillation":[38],"knowledge":[40,68],"through":[41],"teacher-student":[43],"framework,":[44],"enabling":[45],"the":[46,85],"assimilation":[47],"complementary":[49],"information":[50],"between":[51],"modalities.":[52],"A":[53],"groundbreaking":[54],"domain":[55,59],"alignment":[56],"strategy":[57],"addresses":[58],"discrepancy":[60],"in":[61,84,99,138],"modalities,":[65],"enhancing":[66],"cross-modal":[67],"distillation":[69],"efficacy.":[70],"Although":[71],"our":[72,93],"experimentation":[73],"includes":[74],"datasets":[75],"like":[76],"UCF101,":[77,117],"Kinetics400,":[78],"Kinetics":[80,121,127],"Sound,":[81],"we":[82],"are":[83],"process":[86],"achieving":[88],"conclusive":[89],"results.":[90],"Despite":[91],"this,":[92],"preliminary":[94],"findings":[95],"show":[96],"promising":[97],"advancements":[98],"action":[101,111],"classification":[102,112],"accuracy":[103,113],"across":[104],"benchmark":[105],"datasets.":[106],"Specifically,":[107],"improves":[109],"by":[114],"85.25%":[115],"on":[116,120,126],"$84.43":[118],"\\%$":[119,125],"400,":[122],"$84.4":[124],"Sound.":[128],"Ongoing":[129],"research":[130],"aims":[131],"refine":[133],"validate":[135],"XKD\u2019s":[136],"efficacy":[137],"diverse":[139],"understanding":[141],"tasks.":[142]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}