{"id":"https://openalex.org/W4405754085","doi":"https://doi.org/10.1109/tmm.2024.3521844","title":"Make Graph-Based Referring Expression Comprehension Great Again Through Expression-Guided Dynamic Gating and Regression","display_name":"Make Graph-Based Referring Expression Comprehension Great Again Through Expression-Guided Dynamic Gating and Regression","publication_year":2024,"publication_date":"2024-12-24","ids":{"openalex":"https://openalex.org/W4405754085","doi":"https://doi.org/10.1109/tmm.2024.3521844"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2024.3521844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521844","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5030523554","display_name":"Jingcheng Ke","orcid":"https://orcid.org/0000-0002-2262-6261"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jingcheng Ke","raw_affiliation_strings":["Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-2262-6261","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005465924","display_name":"D. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Dele Wang","raw_affiliation_strings":["Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0009-0001-0127-9766","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010007692","display_name":"Jun-Cheng Chen","orcid":"https://orcid.org/0000-0002-0209-8932"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jun-Cheng Chen","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-0209-8932","affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075510768","display_name":"I\u2010Hong Jhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"I-Hong Jhuo","raw_affiliation_strings":["Microsoft, Seattle, WA, USA"],"raw_orcid":"https://orcid.org/0009-0009-3893-3758","affiliations":[{"raw_affiliation_string":"Microsoft, Seattle, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9097-2318","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and the Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002217153","display_name":"Yen\u2010Yu Lin","orcid":"https://orcid.org/0000-0002-7183-6070"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen-Yu Lin","raw_affiliation_strings":["Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-7183-6070","affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.6902,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77037226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"27","issue":null,"first_page":"1950","last_page":"1961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9524999856948853,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9524999856948853,"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/computer-science","display_name":"Computer science","score":0.8069606423377991},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5457181930541992},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.539974570274353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47711971402168274},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.44306594133377075},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42103147506713867},{"id":"https://openalex.org/keywords/regular-expression","display_name":"Regular expression","score":0.4159669876098633},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3662160336971283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3467743992805481},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26544734835624695},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16483533382415771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069606423377991},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5457181930541992},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.539974570274353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47711971402168274},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.44306594133377075},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42103147506713867},{"id":"https://openalex.org/C121329065","wikidata":"https://www.wikidata.org/wiki/Q185612","display_name":"Regular expression","level":2,"score":0.4159669876098633},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3662160336971283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467743992805481},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26544734835624695},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16483533382415771}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2024.3521844","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2024.3521844","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320308258","display_name":"Qualcomm","ror":"https://ror.org/002zrf773"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1773149199","https://openalex.org/W2198291924","https://openalex.org/W2250539671","https://openalex.org/W2251512949","https://openalex.org/W2277195237","https://openalex.org/W2558535589","https://openalex.org/W2745461083","https://openalex.org/W2792265253","https://openalex.org/W2886641317","https://openalex.org/W2963109634","https://openalex.org/W2963518342","https://openalex.org/W2964187781","https://openalex.org/W2964345792","https://openalex.org/W2983943451","https://openalex.org/W2986755220","https://openalex.org/W2987734933","https://openalex.org/W3006154882","https://openalex.org/W3034772468","https://openalex.org/W3035268124","https://openalex.org/W3037533539","https://openalex.org/W3093017735","https://openalex.org/W3093314701","https://openalex.org/W3094071022","https://openalex.org/W3112077297","https://openalex.org/W3159619744","https://openalex.org/W3173220247","https://openalex.org/W3173364567","https://openalex.org/W3173909648","https://openalex.org/W3174004334","https://openalex.org/W4210820868","https://openalex.org/W4214490042","https://openalex.org/W4221166187","https://openalex.org/W4226392681","https://openalex.org/W4250583963","https://openalex.org/W4285594363","https://openalex.org/W4309181071","https://openalex.org/W4312304225","https://openalex.org/W4312351586","https://openalex.org/W4312523916","https://openalex.org/W4312753047","https://openalex.org/W4313145013","https://openalex.org/W4313184803","https://openalex.org/W4380609723","https://openalex.org/W4384820618","https://openalex.org/W4385194708","https://openalex.org/W4386075493","https://openalex.org/W4386075498","https://openalex.org/W4386076636","https://openalex.org/W4389331817","https://openalex.org/W4392543666","https://openalex.org/W6676497082","https://openalex.org/W6757135208","https://openalex.org/W6839015040"],"related_works":["https://openalex.org/W2563334590","https://openalex.org/W2807616588","https://openalex.org/W3094387502","https://openalex.org/W2922478741","https://openalex.org/W2119827098","https://openalex.org/W2052853109","https://openalex.org/W2101092231","https://openalex.org/W2616627668","https://openalex.org/W2373862202","https://openalex.org/W2388232445"],"abstract_inverted_index":{"One":[0],"common":[1],"belief":[2],"is":[3],"that":[4,29,53],"with":[5],"complex":[6],"models":[7],"and":[8,71,104,134,144],"pre-training":[9],"on":[10,126],"large-scale":[11],"datasets,":[12],"transformer-based":[13,172],"methods":[14,33],"for":[15],"referring":[16],"expression":[17],"comprehension":[18],"(REC)":[19],"perform":[20],"much":[21],"better":[22,166],"than":[23,168],"existing":[24],"graph-based":[25,32,155,163],"methods.":[26,157,173],"We":[27,111],"observe":[28],"since":[30],"most":[31],"adopt":[34],"an":[35,114],"off-the-shelf":[36],"detector":[37],"to":[38,77,119],"locate":[39],"candidate":[40],"objects":[41,68],"(i.e.,":[42],"regions":[43],"detected":[44],"by":[45,65,91],"the":[46,59,78,127,138,141,145,151,161,169],"object":[47],"detector),":[48],"they":[49],"face":[50],"two":[51],"challenges":[52],"result":[54],"in":[55,107,148],"subpar":[56],"performance:":[57],"(1)":[58],"presence":[60],"of":[61,140,153],"significant":[62],"noise":[63],"caused":[64],"numerous":[66],"irrelevant":[67,102],"during":[69,109],"reasoning,":[70],"(2)":[72],"inaccurate":[73],"localization":[74],"outcomes":[75],"attributed":[76],"provided":[79],"detector.":[80],"To":[81],"address":[82],"these":[83],"issues,":[84],"we":[85],"introduce":[86,113],"a":[87],"plug-and-adapt":[88],"module":[89,143],"guided":[90],"sub-expressions,":[92],"called":[93],"dynamic":[94],"gate":[95],"constraint":[96],"(DGC),":[97],"which":[98],"can":[99],"adaptively":[100],"disable":[101],"proposals":[103],"their":[105],"connections":[106],"graphs":[108],"reasoning.":[110],"further":[112],"expression-guided":[115],"regression":[116],"strategy":[117,147],"(EGR)":[118],"refine":[120],"location":[121],"prediction.":[122],"Extensive":[123],"experimental":[124],"results":[125],"RefCOCO,":[128],"RefCOCO+,":[129],"RefCOCOg,":[130],"Flickr30":[131],"K,":[132],"RefClef,":[133],"Ref-reasoning":[135],"datasets":[136],"demonstrate":[137],"effectiveness":[139],"DGC":[142],"EGR":[146],"consistently":[149],"boosting":[150],"performances":[152],"various":[154],"REC":[156],"Without":[158],"any":[159],"pretaining,":[160],"proposed":[162],"method":[164],"achieves":[165],"performance":[167],"state-of-the-art":[170],"(SOTA)":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
