{"id":"https://openalex.org/W3194512065","doi":"https://doi.org/10.1109/tip.2021.3104182","title":"Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++","display_name":"Extremely Lightweight Skeleton-Based Action Recognition With ShiftGCN++","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3194512065","doi":"https://doi.org/10.1109/tip.2021.3104182","mag":"3194512065","pmid":"https://pubmed.ncbi.nlm.nih.gov/34403343"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3104182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3104182","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5103046794","display_name":"Ke Cheng","orcid":"https://orcid.org/0000-0002-2057-6600"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Ke Cheng","raw_affiliation_strings":["NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2057-6600","affiliations":[{"raw_affiliation_string":"NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114686064","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0002-9190-3509"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Yifan Zhang","raw_affiliation_strings":["NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9190-3509","affiliations":[{"raw_affiliation_string":"NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063863469","display_name":"Xiangyu He","orcid":"https://orcid.org/0000-0003-2554-9289"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Xiangyu He","raw_affiliation_strings":["NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112149353","display_name":"Jian Cheng","orcid":"https://orcid.org/0000-0003-1289-2758"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Jian Cheng","raw_affiliation_strings":["NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1289-2758","affiliations":[{"raw_affiliation_string":"NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511737","display_name":"Hanqing Lu","orcid":"https://orcid.org/0000-0001-9506-3407"},"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/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Hanqing Lu","raw_affiliation_strings":["NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NLPR & AIRIA, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.4282,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.95756197,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"30","issue":null,"first_page":"7333","last_page":"7348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10510","display_name":"Stroke Rehabilitation and Recovery","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2742","display_name":"Rehabilitation"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9919999837875366,"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/flops","display_name":"FLOPS","score":0.6763654947280884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6588411927223206},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5959606170654297},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5726571679115295},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46205249428749084},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4512386620044708},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.4298568069934845},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4265296757221222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42443203926086426},{"id":"https://openalex.org/keywords/graph-bandwidth","display_name":"Graph bandwidth","score":0.42408913373947144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34941375255584717},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2933875024318695},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20166823267936707},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.1676577627658844},{"id":"https://openalex.org/keywords/voltage-graph","display_name":"Voltage graph","score":0.12040403485298157}],"concepts":[{"id":"https://openalex.org/C3826847","wikidata":"https://www.wikidata.org/wiki/Q188768","display_name":"FLOPS","level":2,"score":0.6763654947280884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6588411927223206},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5959606170654297},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5726571679115295},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46205249428749084},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4512386620044708},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.4298568069934845},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4265296757221222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42443203926086426},{"id":"https://openalex.org/C134727501","wikidata":"https://www.wikidata.org/wiki/Q5597073","display_name":"Graph bandwidth","level":5,"score":0.42408913373947144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34941375255584717},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2933875024318695},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20166823267936707},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.1676577627658844},{"id":"https://openalex.org/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.12040403485298157},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2021.3104182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3104182","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34403343","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34403343","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1442880312","display_name":null,"funder_award_id":"61876182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G343350341","display_name":null,"funder_award_id":"ZDRW-XH-2021-3","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G8785921684","display_name":null,"funder_award_id":"61906195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8908804399","display_name":null,"funder_award_id":"XDA27040300","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":99,"referenced_works":["https://openalex.org/W846669277","https://openalex.org/W1690739335","https://openalex.org/W1777221758","https://openalex.org/W1821462560","https://openalex.org/W1893516992","https://openalex.org/W1926645898","https://openalex.org/W1950788856","https://openalex.org/W2048821851","https://openalex.org/W2054041160","https://openalex.org/W2110819057","https://openalex.org/W2131774270","https://openalex.org/W2145546283","https://openalex.org/W2156303437","https://openalex.org/W2166742463","https://openalex.org/W2415469094","https://openalex.org/W2507009361","https://openalex.org/W2510185399","https://openalex.org/W2526041356","https://openalex.org/W2553303224","https://openalex.org/W2556782416","https://openalex.org/W2561238782","https://openalex.org/W2593146028","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2606294640","https://openalex.org/W2612445135","https://openalex.org/W2613570903","https://openalex.org/W2716916105","https://openalex.org/W2736334449","https://openalex.org/W2736995747","https://openalex.org/W2739179646","https://openalex.org/W2751841288","https://openalex.org/W2752782242","https://openalex.org/W2778523960","https://openalex.org/W2791303549","https://openalex.org/W2793547936","https://openalex.org/W2799176631","https://openalex.org/W2799211965","https://openalex.org/W2810075754","https://openalex.org/W2883429621","https://openalex.org/W2885940446","https://openalex.org/W2905571172","https://openalex.org/W2914177721","https://openalex.org/W2921906393","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2950568498","https://openalex.org/W2951104886","https://openalex.org/W2955425717","https://openalex.org/W2963076818","https://openalex.org/W2963374479","https://openalex.org/W2963420686","https://openalex.org/W2963446712","https://openalex.org/W2963465695","https://openalex.org/W2963589041","https://openalex.org/W2963844898","https://openalex.org/W2963918968","https://openalex.org/W2964111476","https://openalex.org/W2964118293","https://openalex.org/W2964134613","https://openalex.org/W2966210862","https://openalex.org/W2968553732","https://openalex.org/W2970107519","https://openalex.org/W2982101047","https://openalex.org/W2982157312","https://openalex.org/W2983925976","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2993496908","https://openalex.org/W3034421924","https://openalex.org/W3034572008","https://openalex.org/W3034671389","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035545045","https://openalex.org/W3097372878","https://openalex.org/W3098538019","https://openalex.org/W3101367838","https://openalex.org/W3123784868","https://openalex.org/W4240042586","https://openalex.org/W4297775537","https://openalex.org/W6637551013","https://openalex.org/W6638523607","https://openalex.org/W6640754710","https://openalex.org/W6682864246","https://openalex.org/W6704520437","https://openalex.org/W6729956949","https://openalex.org/W6730028046","https://openalex.org/W6730179637","https://openalex.org/W6737664043","https://openalex.org/W6743928348","https://openalex.org/W6747795875","https://openalex.org/W6752515464","https://openalex.org/W6752548847","https://openalex.org/W6762718338","https://openalex.org/W6767312599","https://openalex.org/W6785158184"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2146343568","https://openalex.org/W98480971","https://openalex.org/W2150291671","https://openalex.org/W2013643406","https://openalex.org/W2027972911","https://openalex.org/W2157978810","https://openalex.org/W4391547476","https://openalex.org/W2597809628"],"abstract_inverted_index":{"In":[0,79],"skeleton-based":[1,136,165],"action":[2,34,137,166],"recognition,":[3,167],"graph":[4,50,53,86,100,109,118],"convolutional":[5,87],"networks":[6],"(GCNs)":[7],"have":[8],"achieved":[9],"remarkable":[10],"success.":[11],"However,":[12],"there":[13],"are":[14,54],"two":[15],"shortcomings":[16],"of":[17,47,67,97,188],"current":[18],"GCN-based":[19],"methods.":[20],"Firstly,":[21],"the":[22,44,65,107,125,171,186],"computation":[23],"cost":[24],"is":[25,72,95,143,149],"pretty":[26],"heavy,":[27],"typically":[28],"over":[29,175],"15":[30],"GFLOPs":[31],"for":[32,115,151,164],"one":[33],"sample.":[35],"Some":[36],"recent":[37,57],"works":[38,58],"even":[39],"reach":[40],"~100":[41],"GFLOPs.":[42],"Secondly,":[43],"receptive":[45,113],"fields":[46,114],"both":[48,92,116],"spatial":[49,68,117],"and":[51,102,119,131,153,179,198],"temporal":[52,120],"inflexible.":[55],"Although":[56],"introduce":[59,128],"incremental":[60],"adaptive":[61],"modules":[62],"to":[63,90],"enhance":[64],"expressiveness":[66],"graph,":[69],"their":[70],"efficiency":[71,187],"still":[73],"limited":[74,158],"by":[75],"regular":[76],"GCN":[77],"structures.":[78],"this":[80],"paper,":[81],"we":[82,127],"propose":[83],"a":[84,133],"shift":[85,99,108],"network":[88],"(ShiftGCN)":[89],"overcome":[91],"shortcomings.":[93],"ShiftGCN":[94,168],"composed":[96],"novel":[98],"operations":[101,110],"lightweight":[103,135],"point-wise":[104],"convolutions,":[105],"where":[106],"provide":[111],"flexible":[112],"graph.":[121],"To":[122],"further":[123,184],"boost":[124],"efficiency,":[126],"four":[129],"techniques":[130],"build":[132],"more":[134],"recognition":[138],"model":[139],"named":[140],"ShiftGCN++.":[141],"ShiftGCN++":[142,183],"an":[144],"extremely":[145],"computation-efficient":[146],"model,":[147],"which":[148,190],"designed":[150],"low-power":[152],"low-cost":[154],"devices":[155],"with":[156,174,194],"very":[157],"computing":[159],"power.":[160],"On":[161],"three":[162],"datasets":[163],"notably":[169],"exceeds":[170],"state-of-the-art":[172],"methods":[173],"10\u00d7":[176],"less":[177,196],"FLOPs":[178,197],"4\u00d7":[180],"practical":[181,200],"speedup.":[182,201],"boosts":[185],"ShiftGCN,":[189],"achieves":[191],"comparable":[192],"performance":[193],"6\u00d7":[195],"2\u00d7":[199]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":10}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}