{"id":"https://openalex.org/W4391853870","doi":"https://doi.org/10.1109/tpami.2024.3366234","title":"CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation","display_name":"CrossHomo: Cross-Modality and Cross-Resolution Homography Estimation","publication_year":2024,"publication_date":"2024-02-15","ids":{"openalex":"https://openalex.org/W4391853870","doi":"https://doi.org/10.1109/tpami.2024.3366234","pmid":"https://pubmed.ncbi.nlm.nih.gov/38358870"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3366234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3366234","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,"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"},"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/A5040495514","display_name":"Xin Deng","orcid":"https://orcid.org/0000-0002-4708-6572"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Deng","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078506625","display_name":"Enpeng Liu","orcid":"https://orcid.org/0009-0001-4179-4965"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enpeng Liu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101480071","display_name":"Chao Gao","orcid":"https://orcid.org/0009-0007-3734-6936"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Gao","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899011","display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxi Li","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100745570","display_name":"Shuhang Gu","orcid":"https://orcid.org/0000-0002-1394-6642"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhang Gu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079385534","display_name":"Mai Xu","orcid":"https://orcid.org/0000-0002-0277-3301"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["School of Electronic and Information Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040495514"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":3.2732,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.92953923,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"46","issue":"8","first_page":"5725","last_page":"5742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9976000189781189,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/homography","display_name":"Homography","score":0.9307780861854553},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592049837112427},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.677024781703949},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.652678906917572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486928462982178},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6361032724380493},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5846074819564819},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44257014989852905},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3623482584953308},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16112765669822693},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07548689842224121}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.9307780861854553},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592049837112427},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.677024781703949},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.652678906917572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486928462982178},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6361032724380493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5846074819564819},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44257014989852905},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3623482584953308},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16112765669822693},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07548689842224121},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C75280867","wikidata":"https://www.wikidata.org/wiki/Q877775","display_name":"Projective space","level":3,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C177846678","wikidata":"https://www.wikidata.org/wiki/Q1501864","display_name":"Projective test","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3366234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3366234","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,"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:38358870","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38358870","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1034992445","display_name":null,"funder_award_id":"62372024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G388300612","display_name":null,"funder_award_id":"62250001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6069380152","display_name":null,"funder_award_id":"L223021","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G6127711580","display_name":null,"funder_award_id":"62231002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1677409904","https://openalex.org/W1861492603","https://openalex.org/W2012893378","https://openalex.org/W2033819227","https://openalex.org/W2050551672","https://openalex.org/W2085261163","https://openalex.org/W2100109944","https://openalex.org/W2117228865","https://openalex.org/W2130951370","https://openalex.org/W2133665775","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2500602996","https://openalex.org/W2642423401","https://openalex.org/W2737590896","https://openalex.org/W2806695658","https://openalex.org/W2883996939","https://openalex.org/W2894343975","https://openalex.org/W2923212559","https://openalex.org/W2954930822","https://openalex.org/W2963346260","https://openalex.org/W2963372104","https://openalex.org/W2967756832","https://openalex.org/W2973665503","https://openalex.org/W2979458572","https://openalex.org/W3034438849","https://openalex.org/W3035166033","https://openalex.org/W3043075211","https://openalex.org/W3094502228","https://openalex.org/W3097941873","https://openalex.org/W3138516171","https://openalex.org/W3168216528","https://openalex.org/W3174463684","https://openalex.org/W3175561084","https://openalex.org/W3204526765","https://openalex.org/W3207918547","https://openalex.org/W3214403471","https://openalex.org/W4225515417","https://openalex.org/W4280527172","https://openalex.org/W4301454730","https://openalex.org/W4309662209","https://openalex.org/W4312273592","https://openalex.org/W4312376004","https://openalex.org/W4312628922","https://openalex.org/W4312759958","https://openalex.org/W4312900860","https://openalex.org/W4318624501","https://openalex.org/W4386075620","https://openalex.org/W4386083012","https://openalex.org/W6618372016","https://openalex.org/W6677548441","https://openalex.org/W6718003766","https://openalex.org/W6810318326"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Multi-modal":[0],"homography":[1,59,70,105,112,128],"estimation":[2,71,106,129],"aims":[3],"to":[4,37,73,93,109,125],"spatially":[5],"align":[6,74],"the":[7,18,52,75,95,111,115,122,127,159],"images":[8,77],"from":[9],"different":[10,99,154],"modalities,":[11,100],"which":[12,50],"is":[13,44,84,121],"quite":[14],"challenging":[15,40],"since":[16],"both":[17,132,167],"image":[19,56,89],"content":[20],"and":[21,58,134,170],"resolution":[22,96,135,155],"are":[23],"variant":[24],"across":[25],"modalities.":[26],"In":[27,157],"this":[28,39],"paper,":[29],"we":[30,65],"introduce":[31],"a":[32,67,79,87,103],"novel":[33],"framework":[34,43],"namely":[35],"CrossHomo":[36,120,143],"tackle":[38],"problem.":[41],"Our":[42],"motivated":[45],"by":[46,102],"two":[47],"interesting":[48],"findings":[49],"demonstrate":[51],"mutual":[53],"benefits":[54],"between":[55,98],"super-resolution":[57,90],"estimation.":[60],"Based":[61],"on":[62,149],"these":[63],"findings,":[64],"design":[66],"flexible":[68],"multi-level":[69],"network":[72,160],"multi-modal":[76,88,104,151],"in":[78,164],"coarse-to-fine":[80],"manner.":[81],"Each":[82],"level":[83],"composed":[85],"of":[86,117,166],"(MISR)":[91],"module":[92,108],"shrink":[94],"gap":[97],"followed":[101],"(MHE)":[107],"predict":[110],"matrix.":[113],"To":[114],"best":[116],"our":[118,142],"knowledge,":[119],"first":[123],"attempt":[124],"address":[126],"problem":[130],"with":[131,153],"modality":[133],"discrepancy.":[136],"Extensive":[137],"experimental":[138],"results":[139],"show":[140],"that":[141],"can":[144],"achieve":[145],"high":[146,162],"registration":[147],"accuracy":[148],"various":[150],"datasets":[152],"gaps.":[156],"addition,":[158],"has":[161],"efficiency":[163],"terms":[165],"model":[168],"complexity":[169],"running":[171],"speed.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}