{"id":"https://openalex.org/W7124173590","doi":"https://doi.org/10.1109/icpads67057.2025.11323038","title":"Feature-Based Robust Multimodal Image Registration","display_name":"Feature-Based Robust Multimodal Image Registration","publication_year":2025,"publication_date":"2025-12-14","ids":{"openalex":"https://openalex.org/W7124173590","doi":"https://doi.org/10.1109/icpads67057.2025.11323038"},"language":null,"primary_location":{"id":"doi:10.1109/icpads67057.2025.11323038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-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/A5101246537","display_name":"Huajin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155601","display_name":"Innovative Research (United States)","ror":"https://ror.org/04dec0k98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155601"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Huajin Sun","raw_affiliation_strings":["Shandong Yunhai Guochuang Innovative Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Shandong Yunhai Guochuang Innovative Technology Co., Ltd","institution_ids":["https://openalex.org/I4210155601"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123023254","display_name":"Jiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155601","display_name":"Innovative Research (United States)","ror":"https://ror.org/04dec0k98","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Wang","raw_affiliation_strings":["Shandong Yunhai Guochuang Innovative Technology Co., Ltd"],"affiliations":[{"raw_affiliation_string":"Shandong Yunhai Guochuang Innovative Technology Co., Ltd","institution_ids":["https://openalex.org/I4210155601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101246537"],"corresponding_institution_ids":["https://openalex.org/I4210155601"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.69412453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9549000263214111,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9549000263214111,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.013700000010430813,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.00860000029206276,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/image-registration","display_name":"Image registration","score":0.7560999989509583},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6916000247001648},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5356000065803528},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4948999881744385},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47690001130104065},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.4194999933242798},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4027000069618225},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3968999981880188}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7785000205039978},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.7560999989509583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7172999978065491},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6916000247001648},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.621399998664856},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5356000065803528},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.4194999933242798},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4027000069618225},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3968999981880188},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.3862000107765198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.366100013256073},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.2903999984264374},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpads67057.2025.11323038","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpads67057.2025.11323038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 31th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W1953691509","https://openalex.org/W1999846031","https://openalex.org/W2012893378","https://openalex.org/W2046417792","https://openalex.org/W2096733369","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2200124539","https://openalex.org/W2307770531","https://openalex.org/W2737260104","https://openalex.org/W2969656782","https://openalex.org/W2979458572","https://openalex.org/W2996444841","https://openalex.org/W2998529071","https://openalex.org/W3043075211","https://openalex.org/W3047057232","https://openalex.org/W3090449556","https://openalex.org/W3134976640","https://openalex.org/W4280624317","https://openalex.org/W4312594135"],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"image":[1,83,115],"registration":[2,40,116],"seeks":[3],"to":[4,19,26],"establish":[5],"spatial":[6],"correspondences":[7],"between":[8],"images":[9],"from":[10],"different":[11],"modalities.":[12],"However,":[13],"the":[14,100],"generalization":[15],"of":[16,92],"existing":[17],"methods":[18],"diverse":[20],"multimodal":[21,39,93],"scenarios":[22],"remains":[23],"limited":[24],"due":[25],"significant":[27],"modality":[28],"gaps.":[29],"To":[30,60],"address":[31],"this":[32],"challenge,":[33],"we":[34,68],"propose":[35],"CrossNet,":[36],"a":[37,70,90],"feature-based":[38],"framework":[41],"that":[42,73,96],"integrates":[43],"automated":[44],"keypoint":[45],"detection,":[46],"cross-modal":[47],"descriptor":[48],"extraction,":[49],"and":[50,64,80,114],"correspondence":[51],"consistency":[52],"enforcement":[53],"through":[54],"constraints":[55],"on":[56,102],"intermediate":[57],"feature":[58,112],"maps.":[59],"further":[61],"enhance":[62],"robustness":[63],"minimize":[65],"annotation":[66],"requirements,":[67],"introduce":[69],"cross-supervision":[71],"strategy":[72],"promotes":[74],"consistent":[75],"predictions,":[76],"generates":[77],"pseudo-aligned":[78],"images,":[79],"leverages":[81],"unlabeled":[82],"pairs":[84],"during":[85],"training.":[86],"Extensive":[87],"experiments":[88],"across":[89],"variety":[91],"settings":[94],"demonstrate":[95],"CrossNet":[97],"significantly":[98],"reduces":[99],"reliance":[101],"aligned":[103],"training":[104],"data":[105],"while":[106],"achieving":[107],"state-of-the-art":[108],"performance":[109],"in":[110],"both":[111],"matching":[113],"tasks.":[117]},"counts_by_year":[],"updated_date":"2026-01-16T23:16:36.188383","created_date":"2026-01-15T00:00:00"}
