{"id":"https://openalex.org/W2972662547","doi":"https://doi.org/10.1109/iccv.2019.00236","title":"Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks","display_name":"Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2972662547","doi":"https://doi.org/10.1109/iccv.2019.00236","mag":"2972662547"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2019.00236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/86102/1/1881.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100611987","display_name":"Yujun Cai","orcid":"https://orcid.org/0000-0002-0993-4024"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yujun Cai","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042747705","display_name":"Liuhao Ge","orcid":"https://orcid.org/0000-0003-2022-6691"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liuhao Ge","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100361857","display_name":"Jun Liu","orcid":"https://orcid.org/0000-0002-4365-4165"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jun Liu","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635804","display_name":"Jianfei Cai","orcid":"https://orcid.org/0000-0002-9444-3763"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]},{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["AU","SG"],"is_corresponding":false,"raw_author_name":"Jianfei Cai","raw_affiliation_strings":["Monash University, Australia","Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University, Australia","institution_ids":["https://openalex.org/I56590836"]},{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065578418","display_name":"Tat\u2010Jen Cham","orcid":"https://orcid.org/0000-0001-5264-2572"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Tat-Jen Cham","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7901-8793"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["State University of New York at Buffalo University, Buffalo, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo University, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015798012","display_name":"Nadia Magnenat\u2010Thalmann","orcid":"https://orcid.org/0000-0002-1459-5960"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Nadia Magnenat Thalmann","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100611987"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":23.5761,"has_fulltext":true,"cited_by_count":545,"citation_normalized_percentile":{"value":0.99568286,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"2019","issue":null,"first_page":"2272","last_page":"2281"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9794999957084656,"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/pose","display_name":"Pose","score":0.8475164771080017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003486394882202},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6775540113449097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635482668876648},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5859359502792358},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5506930351257324},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.47754940390586853},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4583300054073334},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4251837730407715},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.373981237411499},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19634753465652466}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8475164771080017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003486394882202},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6775540113449097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635482668876648},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5859359502792358},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5506930351257324},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.47754940390586853},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4583300054073334},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4251837730407715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.373981237411499},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19634753465652466},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/iccv.2019.00236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2019.00236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/86102","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/49902","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/86102/1/1881.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:monash.edu:openaire/33d770fe-f415-4acd-b44c-5e1407869e69","is_oa":true,"landing_page_url":"https://research.monash.edu/en/publications/33d770fe-f415-4acd-b44c-5e1407869e69","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cai, Y, Ge, L, Liu, J, Cai, J, Cham, T-J, Yuan, J & Thalmann, N M 2019, Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks. in I So Kweon, N Paragios, M-H Yang & S Lazebnik (eds), Proceedings - IEEE International Conference on Computer Vision, ICCV 2019. Proceedings of the IEEE International Conference on Computer Vision, vol. 2019-October, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 2272-2281, IEEE International Conference on Computer Vision 2019, Seoul, Korea, South, 27/10/19. https://doi.org/10.1109/ICCV.2019.00236","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:eprints.lancs.ac.uk:223051","is_oa":false,"landing_page_url":"https://eprints.lancs.ac.uk/id/eprint/223051/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Contribution in Book/Report/Proceedings"},{"id":"pmh:oai:monash.edu:publications/33d770fe-f415-4acd-b44c-5e1407869e69","is_oa":true,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85077736660&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402625","display_name":"Monash University Research Portal (Monash University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I56590836","host_organization_name":"Monash University","host_organization_lineage":["https://openalex.org/I56590836"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cai , Y , Ge , L , Liu , J , Cai , J , Cham , T-J , Yuan , J & Thalmann , N M 2019 , Exploiting spatial-temporal relationships for 3D pose estimation via graph convolutional networks . in I So Kweon , N Paragios , M-H Yang & S Lazebnik (eds) , Proceedings - IEEE International Conference on Computer Vision, ICCV 2019 . Proceedings of the IEEE International Conference on Computer Vision , vol. 2019-October , IEEE, Institute of Electrical and Electronics Engineers , Piscataway NJ USA , pp. 2272-2281 , IEEE International Conference on Computer Vision 2019 , Seoul , Korea, South , 27/10/19 . https://doi.org/10.1109/ICCV.2019.00236","raw_type":"contributionToPeriodical"},{"id":"mag:3089320266","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002260292126242","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/86102","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/49902","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/86102/1/1881.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320320766","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"},{"id":"https://openalex.org/F4320332641","display_name":"University at Buffalo","ror":"https://ror.org/01y64my43"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2972662547.pdf"},"referenced_works_count":77,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W1589125571","https://openalex.org/W1990947293","https://openalex.org/W2100642335","https://openalex.org/W2101032778","https://openalex.org/W2101491865","https://openalex.org/W2104869344","https://openalex.org/W2137940226","https://openalex.org/W2155394491","https://openalex.org/W2170805580","https://openalex.org/W2293220651","https://openalex.org/W2307770531","https://openalex.org/W2404595106","https://openalex.org/W2464305746","https://openalex.org/W2465015709","https://openalex.org/W2502928967","https://openalex.org/W2519887557","https://openalex.org/W2554247908","https://openalex.org/W2604375920","https://openalex.org/W2611932403","https://openalex.org/W2612706635","https://openalex.org/W2756050327","https://openalex.org/W2768242641","https://openalex.org/W2774831247","https://openalex.org/W2788865504","https://openalex.org/W2797184202","https://openalex.org/W2798581336","https://openalex.org/W2798646183","https://openalex.org/W2799191197","https://openalex.org/W2809890486","https://openalex.org/W2892644985","https://openalex.org/W2895689136","https://openalex.org/W2897765997","https://openalex.org/W2962811204","https://openalex.org/W2962896489","https://openalex.org/W2962926199","https://openalex.org/W2963017945","https://openalex.org/W2963076818","https://openalex.org/W2963084622","https://openalex.org/W2963091558","https://openalex.org/W2963207848","https://openalex.org/W2963225971","https://openalex.org/W2963637380","https://openalex.org/W2963984147","https://openalex.org/W2964015378","https://openalex.org/W2964016027","https://openalex.org/W2964093990","https://openalex.org/W2964113829","https://openalex.org/W2964145825","https://openalex.org/W2964221239","https://openalex.org/W2964304707","https://openalex.org/W2964321699","https://openalex.org/W2968722025","https://openalex.org/W2981561950","https://openalex.org/W2987087879","https://openalex.org/W3098473649","https://openalex.org/W6634702315","https://openalex.org/W6675206319","https://openalex.org/W6675374677","https://openalex.org/W6682891246","https://openalex.org/W6685350579","https://openalex.org/W6692078629","https://openalex.org/W6696920397","https://openalex.org/W6697925102","https://openalex.org/W6713582119","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6724585395","https://openalex.org/W6726873649","https://openalex.org/W6746451923","https://openalex.org/W6747954111","https://openalex.org/W6750700183","https://openalex.org/W6752603839","https://openalex.org/W6754583656","https://openalex.org/W6756515473","https://openalex.org/W6758052843","https://openalex.org/W6760630016"],"related_works":["https://openalex.org/W2964084369","https://openalex.org/W4253893311","https://openalex.org/W2798721181","https://openalex.org/W3201205132","https://openalex.org/W4287600488","https://openalex.org/W4312694060","https://openalex.org/W4281696776","https://openalex.org/W4318148659","https://openalex.org/W4387967917","https://openalex.org/W2950785639"],"abstract_inverted_index":{"Despite":[0],"great":[1],"progress":[2],"in":[3],"3D":[4,52,56,92,124,129],"pose":[5,58,93,126,131],"estimation":[6,59,127],"from":[7,60],"single-view":[8],"images":[9],"or":[10],"videos,":[11],"it":[12],"remains":[13],"a":[14,43,61,98],"challenging":[15,119],"task":[16],"due":[17],"to":[18,37,47,85],"the":[19,28,49,72,81,87,91,110,115],"substantial":[20],"depth":[21],"ambiguity":[22],"and":[23,34,55,128],"severe":[24],"self-occlusions.":[25],"Motivated":[26],"by":[27],"effectiveness":[29],"of":[30,51,64,90,105],"incorporating":[31],"spatial":[32],"dependencies":[33],"temporal":[35],"consistencies":[36],"alleviate":[38],"these":[39],"issues,":[40],"we":[41,96],"propose":[42],"novel":[44],"graph-based":[45,111],"method":[46,117,138],"tackle":[48],"problem":[50],"human":[53,73],"body":[54,130],"hand":[57,74,125],"short":[62],"sequence":[63],"2D":[65],"joint":[66],"detections.":[67],"Particularly,":[68],"domain":[69],"knowledge":[70],"about":[71],"(body)":[75],"configurations":[76],"is":[77,103],"explicitly":[78],"incorporated":[79],"into":[80],"graph":[82],"convolutional":[83],"operations":[84],"meet":[86],"specific":[88],"demand":[89],"estimation.":[94,132],"Furthermore,":[95],"introduce":[97],"local-to-global":[99],"network":[100],"architecture,":[101],"which":[102],"capable":[104],"learning":[106],"multi-scale":[107],"features":[108],"for":[109,122],"representations.":[112],"We":[113],"evaluate":[114],"proposed":[116],"on":[118,142],"benchmark":[120],"datasets":[121],"both":[123,143],"Experimental":[133],"results":[134],"show":[135],"that":[136],"our":[137],"achieves":[139],"state-of-the-art":[140],"performance":[141],"tasks.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":20},{"year":2025,"cited_by_count":72},{"year":2024,"cited_by_count":111},{"year":2023,"cited_by_count":110},{"year":2022,"cited_by_count":71},{"year":2021,"cited_by_count":100},{"year":2020,"cited_by_count":56},{"year":2019,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-05-09T13:55:54.758798","created_date":"2025-10-10T00:00:00"}