{"id":"https://openalex.org/W4416251875","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229324","title":"Adaptive Query Prompting for Multi-Domain Landmark Detection","display_name":"Adaptive Query Prompting for Multi-Domain Landmark Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251875","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229324"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5113411295","display_name":"Yunwen Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Li","raw_affiliation_strings":["Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101327314","display_name":"Qiusen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiusen Wei","raw_affiliation_strings":["Guangdong University of Technology,School of Automation,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Automation,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006709942","display_name":"Guoheng Huang","orcid":"https://orcid.org/0000-0002-3640-3229"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoheng Huang","raw_affiliation_strings":["Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051381076","display_name":"Xiaochen Yuan","orcid":"https://orcid.org/0000-0002-7490-6695"},"institutions":[{"id":"https://openalex.org/I49835588","display_name":"Macao Polytechnic University","ror":"https://ror.org/02sf5td35","country_code":"MO","type":"education","lineage":["https://openalex.org/I49835588"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Xiaochen Yuan","raw_affiliation_strings":["Macao Polytechnic University,Faculty of Applied Sciences,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Macao Polytechnic University,Faculty of Applied Sciences,China","institution_ids":["https://openalex.org/I49835588"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101828697","display_name":"Guo Zhong","orcid":"https://orcid.org/0000-0002-6428-5645"},"institutions":[{"id":"https://openalex.org/I186272606","display_name":"Guangdong University of Foreign Studies","ror":"https://ror.org/00fhc9y79","country_code":"CN","type":"education","lineage":["https://openalex.org/I186272606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guo Zhong","raw_affiliation_strings":["Guangdong University of Foreign Studies,School of Information Science and Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Foreign Studies,School of Information Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I186272606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052836808","display_name":"Jianwen Huang","orcid":"https://orcid.org/0000-0003-3792-1383"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwen Huang","raw_affiliation_strings":["Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078462204","display_name":"Jiajie Huang","orcid":"https://orcid.org/0000-0003-4343-0425"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Huang","raw_affiliation_strings":["Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.22050000727176666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.22050000727176666,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11363","display_name":"Dental Radiography and Imaging","score":0.1671999990940094,"subfield":{"id":"https://openalex.org/subfields/3504","display_name":"Oral Surgery"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.1550000011920929,"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/landmark","display_name":"Landmark","score":0.9638000130653381},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6446999907493591},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5720999836921692},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5552999973297119},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.517300009727478},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5146999955177307}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.9638000130653381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8295999765396118},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6446999907493591},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615000128746033},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5552999973297119},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5146999955177307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38989999890327454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.26420000195503235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2630999982357025},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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":63,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2009621568","https://openalex.org/W2194775991","https://openalex.org/W2275865840","https://openalex.org/W2527398878","https://openalex.org/W2759567658","https://openalex.org/W2768477045","https://openalex.org/W2925288829","https://openalex.org/W2952122856","https://openalex.org/W3040932449","https://openalex.org/W3083107377","https://openalex.org/W3098592896","https://openalex.org/W3138516171","https://openalex.org/W3164581645","https://openalex.org/W3176892444","https://openalex.org/W3185341429","https://openalex.org/W3201702043","https://openalex.org/W4283718881","https://openalex.org/W4296123106","https://openalex.org/W4307647624","https://openalex.org/W4307816037","https://openalex.org/W4312642299","https://openalex.org/W4312651322","https://openalex.org/W4313135108","https://openalex.org/W4313156423","https://openalex.org/W4313427650","https://openalex.org/W4321769412","https://openalex.org/W4322724513","https://openalex.org/W4361855690","https://openalex.org/W4376121722","https://openalex.org/W4380629073","https://openalex.org/W4383058643","https://openalex.org/W4384937010","https://openalex.org/W4385245566","https://openalex.org/W4385488928","https://openalex.org/W4385764641","https://openalex.org/W4386065718","https://openalex.org/W4386566792","https://openalex.org/W4386642213","https://openalex.org/W4387063423","https://openalex.org/W4389331429","https://openalex.org/W4390191228","https://openalex.org/W4390707201","https://openalex.org/W4390871753","https://openalex.org/W4391109864","https://openalex.org/W4391953425","https://openalex.org/W4393148449","https://openalex.org/W4403136854","https://openalex.org/W4403791273","https://openalex.org/W4403792044","https://openalex.org/W4404007442","https://openalex.org/W4405950485","https://openalex.org/W4406110380","https://openalex.org/W4406259909","https://openalex.org/W4406260074","https://openalex.org/W4406261673","https://openalex.org/W4406391458","https://openalex.org/W4407743259","https://openalex.org/W4408354263","https://openalex.org/W4409261976","https://openalex.org/W4409365102","https://openalex.org/W4412511526","https://openalex.org/W4415795314"],"related_works":[],"abstract_inverted_index":{"Medical":[0],"landmark":[1,40,76,209,224],"detection":[2,41,210,225],"is":[3,60,137],"crucial":[4,73],"in":[5,74,96,127],"various":[6],"medical":[7,223],"imaging":[8],"modalities":[9],"and":[10,46,143,176,188],"procedures.":[11],"Although":[12],"deep":[13],"learning-based":[14],"methods":[15],"have":[16],"achieve":[17],"promising":[18],"performance,":[19],"they":[20],"are":[21,123],"mostly":[22],"designed":[23],"for":[24,38,62,221],"specific":[25],"anatomical":[26,84],"regions":[27],"or":[28,247],"tasks.":[29,211,226],"In":[30,118],"this":[31],"work,":[32],"we":[33,100,154,178],"propose":[34],"a":[35,48,102,128,156],"universal":[36],"model":[37,150],"multi-domain":[39,75],"by":[42,183],"leveraging":[43],"transformer":[44,116],"architecture":[45,59],"developing":[47],"prompting":[49],"component,":[50],"named":[51],"as":[52],"Adaptive":[53],"Query":[54],"Prompting":[55],"(AQP).":[56],"Transformer":[57],"backbone":[58,98,141,186],"suitable":[61],"our":[63,119],"study":[64],"due":[65],"to":[66,69,105,113,138,147,159,169,204,207],"its":[67],"ability":[68],"capture":[70],"long-range":[71],"dependencies":[72],"detection.":[77],"Specifically,":[78],"transformers":[79],"excel":[80],"at":[81],"understanding":[82],"global":[83],"relationships,":[85],"which":[86],"span":[87],"across":[88],"entire":[89],"images.":[90],"Instead":[91],"of":[92,173,243],"embedding":[93],"additional":[94,198],"modules":[95],"the":[97,140,149,163,170,174,185,202,241],"network,":[99],"design":[101],"separate":[103],"module":[104],"generate":[106],"prompts":[107,122,146],"that":[108],"can":[109,179],"be":[110,205],"effectively":[111],"extended":[112,206],"any":[114],"other":[115],"network.":[117],"proposed":[120,228],"AQP,":[121,177],"learnable":[124],"parameters":[125],"maintained":[126],"memory":[129],"space":[130],"called":[131],"prompt":[132],"pool.":[133],"The":[134],"central":[135],"idea":[136],"keep":[139],"frozen":[142],"then":[144,189],"optimize":[145],"instruct":[148],"inference":[151],"process.":[152],"Furthermore,":[153],"employ":[155],"lightweight":[157,171],"decoder":[158,175],"decode":[160],"landmarks":[161],"from":[162],"extracted":[164],"features,":[165],"namely":[166],"Light-MLD.":[167],"Thanks":[168],"nature":[172],"handle":[180],"multiple":[181],"datasets":[182,220],"sharing":[184],"encoder":[187],"only":[190],"perform":[191],"partial":[192],"parameter":[193],"tuning":[194],"without":[195,240],"incurring":[196],"much":[197],"cost.":[199],"It":[200],"has":[201],"potential":[203],"more":[208],"We":[212],"conduct":[213],"experiments":[214],"on":[215,236],"three":[216],"widely":[217],"used":[218],"X-ray":[219],"different":[222],"Our":[227],"Light-MLD":[229],"coupled":[230],"with":[231],"AQP":[232],"achieves":[233],"SOTA":[234],"performance":[235],"many":[237],"metrics":[238],"even":[239],"use":[242],"elaborate":[244],"structural":[245],"designs":[246],"complex":[248],"frameworks.":[249]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}
