{"id":"https://openalex.org/W4310467366","doi":"https://doi.org/10.1109/tpami.2022.3225078","title":"TransCenter: Transformers With Dense Representations for Multiple-Object Tracking","display_name":"TransCenter: Transformers With Dense Representations for Multiple-Object Tracking","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4310467366","doi":"https://doi.org/10.1109/tpami.2022.3225078","pmid":"https://pubmed.ncbi.nlm.nih.gov/36441894"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3225078","doi":"https://doi.org/10.1109/tpami.2022.3225078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3225078","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2103.15145","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089449284","display_name":"Yihong Xu","orcid":"https://orcid.org/0000-0003-1043-0656","observed_orcids":["https://orcid.org/0000-0003-1043-0656"]},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yihong Xu","raw_affiliation_strings":["Inria and now with Valeo.ai, Paris, France"],"raw_orcid":"https://orcid.org/0000-0003-1043-0656","affiliations":[{"raw_affiliation_string":"Inria and now with Valeo.ai, Paris, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011762462","display_name":"Yutong Ban","orcid":"https://orcid.org/0000-0001-5396-9251","observed_orcids":["https://orcid.org/0000-0001-5396-9251"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yutong Ban","raw_affiliation_strings":["Distributed Robotics Lab, CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA","CSAIL - Computer Science and Artificial Intelligence Laboratory [Cambridge] (The Stata Center, Building 32 32 Vassar Street Cambridge, MA 02139 - United States)"],"raw_orcid":"https://orcid.org/0000-0001-5396-9251","affiliations":[{"raw_affiliation_string":"Distributed Robotics Lab, CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"raw_affiliation_string":"CSAIL - Computer Science and Artificial Intelligence Laboratory [Cambridge] (The Stata Center, Building 32 32 Vassar Street Cambridge, MA 02139 - United States)","institution_ids":["https://openalex.org/I4405258931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081151144","display_name":"Guillaume Delorme","orcid":"https://orcid.org/0000-0003-0307-1077","observed_orcids":["https://orcid.org/0000-0003-0307-1077"]},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Guillaume Delorme","raw_affiliation_strings":["Inria Grenoble Rhône-Alpes, Montbonnot-Saint-Martin, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria Grenoble Rhône-Alpes, Montbonnot-Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040877128","display_name":"Chuang Gan","orcid":"https://orcid.org/0000-0003-4031-5886","observed_orcids":["https://orcid.org/0000-0003-4031-5886"]},"institutions":[{"id":"https://openalex.org/I4405286689","display_name":"MIT-IBM Computing Research Lab","ror":"https://ror.org/02thp0973","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405286689"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuang Gan","raw_affiliation_strings":["MIT-IBM Watson AI Lab, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4031-5886","affiliations":[{"raw_affiliation_string":"MIT-IBM Watson AI Lab, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4405286689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066830185","display_name":"Daniela L. Rus","orcid":"https://orcid.org/0000-0001-5473-3566","observed_orcids":["https://orcid.org/0000-0001-5473-3566"]},"institutions":[{"id":"https://openalex.org/I4405258931","display_name":"MIT Computer Science and Artificial Intelligence Laboratory","ror":"https://ror.org/01e85r662","country_code":"US","type":"facility","lineage":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniela Rus","raw_affiliation_strings":["Distributed Robotics Lab, CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA","CSAIL - Computer Science and Artificial Intelligence Laboratory [Cambridge] (The Stata Center, Building 32 32 Vassar Street Cambridge, MA 02139 - United States)"],"raw_orcid":"https://orcid.org/0000-0001-5473-3566","affiliations":[{"raw_affiliation_string":"Distributed Robotics Lab, CSAIL, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4405258931","https://openalex.org/I63966007"]},{"raw_affiliation_string":"CSAIL - Computer Science and Artificial Intelligence Laboratory [Cambridge] (The Stata Center, Building 32 32 Vassar Street Cambridge, MA 02139 - United States)","institution_ids":["https://openalex.org/I4405258931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066621495","display_name":"Xavier Alameda-Pineda","orcid":"https://orcid.org/0000-0002-5354-1084","observed_orcids":["https://orcid.org/0000-0002-5354-1084"]},"institutions":[{"id":"https://openalex.org/I4210101348","display_name":"Centre Inria de l'Universit\u00e9 Grenoble Alpes","ror":"https://ror.org/00n8d6z93","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1326498283","https://openalex.org/I4210101348"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Xavier Alameda-Pineda","raw_affiliation_strings":["Inria Grenoble Rhône-Alpes, Montbonnot-Saint-Martin, France"],"raw_orcid":"https://orcid.org/0000-0002-5354-1084","affiliations":[{"raw_affiliation_string":"Inria Grenoble Rhône-Alpes, Montbonnot-Saint-Martin, France","institution_ids":["https://openalex.org/I4210101348"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":15.7922,"has_fulltext":false,"cited_by_count":234,"citation_normalized_percentile":{"value":0.99609998,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":"45","issue":"6","first_page":"7820","last_page":"7835"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926999807357788,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9926999807357788,"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":0.0052999998442828655,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-object-tracking","display_name":"multiple object tracking","score":0.9789999723434448},{"id":"https://openalex.org/keywords/vision-transformer","display_name":"vision transformer","score":0.6899999976158142},{"id":"https://openalex.org/keywords/dense-representations","display_name":"dense representations","score":0.6489999890327454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8090231418609619},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6416517496109009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.619750440120697},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6031210422515869},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4884621202945709},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46215468645095825},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.42841532826423645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40010279417037964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36193323135375977},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2705163359642029},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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":3,"locations":[{"id":"doi:10.1109/tpami.2022.3225078","doi":"https://doi.org/10.1109/tpami.2022.3225078","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3225078","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["ccf-a","cwts-core","dongbi-a","doyens","jufo-3","medline","norway-2","poland-200","russia-white-list-1"],"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36441894","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36441894","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,"listed_in":[],"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 pattern analysis and machine intelligence","raw_type":"Journal Article"},{"id":"pmh:oai:HAL:hal-03906940v1","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2103.15145","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (6), pp.7820-7835. ⟨10.1109/TPAMI.2022.3225078⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03906940v1","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2103.15145","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45 (6), pp.7820-7835. ⟨10.1109/TPAMI.2022.3225078⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W1861492603","https://openalex.org/W1982925187","https://openalex.org/W2007352603","https://openalex.org/W2031454541","https://openalex.org/W2107775979","https://openalex.org/W2108598243","https://openalex.org/W2122088301","https://openalex.org/W2124781496","https://openalex.org/W2150066425","https://openalex.org/W2150298366","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2209193152","https://openalex.org/W2222512263","https://openalex.org/W2225887246","https://openalex.org/W2252355370","https://openalex.org/W2291627510","https://openalex.org/W2339827301","https://openalex.org/W2494577018","https://openalex.org/W2508815980","https://openalex.org/W2510977782","https://openalex.org/W2511791013","https://openalex.org/W2579024533","https://openalex.org/W2594507094","https://openalex.org/W2596030096","https://openalex.org/W2601564443","https://openalex.org/W2626778328","https://openalex.org/W2739491435","https://openalex.org/W2768024897","https://openalex.org/W2798542761","https://openalex.org/W2889935068","https://openalex.org/W2908510526","https://openalex.org/W2912792574","https://openalex.org/W2920942303","https://openalex.org/W2963063317","https://openalex.org/W2963901085","https://openalex.org/W2964156315","https://openalex.org/W2965620582","https://openalex.org/W2989954484","https://openalex.org/W2989980422","https://openalex.org/W2994802029","https://openalex.org/W2995136401","https://openalex.org/W3011168318","https://openalex.org/W3011353537","https://openalex.org/W3012573144","https://openalex.org/W3012922853","https://openalex.org/W3017343282","https://openalex.org/W3027919498","https://openalex.org/W3030520226","https://openalex.org/W3033323027","https://openalex.org/W3034240185","https://openalex.org/W3034334609","https://openalex.org/W3034679090","https://openalex.org/W3034739212","https://openalex.org/W3035022492","https://openalex.org/W3035308063","https://openalex.org/W3036783493","https://openalex.org/W3084173793","https://openalex.org/W3084263909","https://openalex.org/W3091202868","https://openalex.org/W3092462694","https://openalex.org/W3094000868","https://openalex.org/W3094502228","https://openalex.org/W3095753995","https://openalex.org/W3096068180","https://openalex.org/W3099598823","https://openalex.org/W3108240585","https://openalex.org/W3111581832","https://openalex.org/W3115390238","https://openalex.org/W3119686997","https://openalex.org/W3120048649","https://openalex.org/W3129619124","https://openalex.org/W3132607695","https://openalex.org/W3132890542","https://openalex.org/W3142617676","https://openalex.org/W3164698655","https://openalex.org/W3165926952","https://openalex.org/W3167949052","https://openalex.org/W3172793249","https://openalex.org/W3173209770","https://openalex.org/W3173878319","https://openalex.org/W3174690341","https://openalex.org/W3175515048","https://openalex.org/W3176403636","https://openalex.org/W3176704045","https://openalex.org/W3184439416","https://openalex.org/W3204251186","https://openalex.org/W3207452968","https://openalex.org/W4221167008","https://openalex.org/W4239072543","https://openalex.org/W4286904999","https://openalex.org/W4304479854","https://openalex.org/W6696672603","https://openalex.org/W6760424586","https://openalex.org/W6774932706","https://openalex.org/W6775253321","https://openalex.org/W6782816020","https://openalex.org/W6784333009","https://openalex.org/W6797533734","https://openalex.org/W6798838024"],"related_works":["https://openalex.org/W3145269263","https://openalex.org/W4307415560","https://openalex.org/W3115390238","https://openalex.org/W3119686997","https://openalex.org/W7083691518","https://openalex.org/W7128003126","https://openalex.org/W4281780494","https://openalex.org/W4394596409","https://openalex.org/W7136037683","https://openalex.org/W4312473433"],"abstract_inverted_index":{"Transformers":[0],"have":[1,19],"proven":[2,199],"superior":[3],"performance":[4,174],"for":[5,76,88],"a":[6,61,81,96,170,179],"wide":[7],"variety":[8],"of":[9,60,104,150],"tasks":[10,27],"since":[11],"they":[12,18],"were":[13],"introduced.":[14],"In":[15],"recent":[16],"years,":[17],"drawn":[20],"attention":[21],"from":[22],"the":[23,57,92,102,126,145,148,182],"vision":[24],"community":[25],"in":[26,159,186],"such":[28],"as":[29],"image":[30,157],"classification":[31],"and":[32,40,67,109,138,176,201,214],"object":[33,165],"detection.":[34],"Despite":[35],"this":[36],"wave,":[37],"an":[38,204],"accurate":[39,202],"efficient":[41,110,200],"multiple-object":[42],"tracking":[43,90,112,152,193],"(MOT)":[44],"method":[45],"based":[46],"on":[47],"transformers":[48],"is":[49,73,197,219],"yet":[50],"to":[51,133,163,210],"be":[52],"designed.":[53],"We":[54,78],"argue":[55],"that":[56],"direct":[58],"application":[59],"transformer":[62],"architecture":[63,84],"with":[64,85,156,191],"quadratic":[65],"complexity":[66],"insufficient":[68],"noise-initialized":[69],"sparse":[70,111,151],"queries":[71,108,113,130,153],"-":[72],"not":[74],"optimal":[75],"MOT.":[77],"propose":[79,101],"TransCenter,":[80],"transformer-based":[82],"MOT":[83,189],"dense":[86,106,127,141],"representations":[87],"accurately":[89],"all":[91],"objects":[93],"while":[94],"keeping":[95],"reasonable":[97],"runtime.":[98],"Methodologically,":[99],"we":[100],"use":[103],"image-related":[105,128],"detection":[107,129],"produced":[114],"by":[115,178,203],"our":[116,160],"carefully":[117],"designed":[118],"query":[119],"learning":[120],"networks":[121],"(QLN).":[122],"On":[123,144],"one":[124],"hand,":[125,147],"allow":[131],"us":[132],"infer":[134],"targets'":[135],"locations":[136],"globally":[137],"robustly":[139],"through":[140,167],"heatmap":[142],"outputs.":[143],"other":[146],"set":[149],"efficiently":[154],"interacts":[155],"features":[158],"TransCenter":[161,196],"Decoder":[162],"associate":[164],"positions":[166],"time.":[168],"As":[169],"result,":[171],"TransCenterexhibits":[172],"remarkable":[173],"improvements":[175],"outperforms":[177],"large":[180],"margin":[181],"current":[183],"state-of-the-art":[184],"methods":[185],"two":[187,192],"standard":[188],"benchmarks":[190],"settings":[194],"(public/private).":[195],"also":[198],"extensive":[205],"ablation":[206],"study":[207],"and,":[208],"comparisons":[209],"more":[211],"naive":[212],"alternatives":[213],"concurrent":[215],"works.":[216],"The":[217],"code":[218],"made":[220],"publicly":[221],"available":[222],"at":[223],"https://github.com/yihongxu/transcenter.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":40},{"year":2025,"cited_by_count":68},{"year":2024,"cited_by_count":69},{"year":2023,"cited_by_count":34},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2022-12-10T00:00:00"}