{"id":"https://openalex.org/W4416067408","doi":"https://doi.org/10.1109/iccv51701.2025.00485","title":"EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration","display_name":"EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416067408","doi":"https://doi.org/10.1109/iccv51701.2025.00485"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2509.07662","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091141915","display_name":"Haokai Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haokai Zhu","raw_affiliation_strings":["Zhejiang University,Ningbo Global Innovation Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Ningbo Global Innovation Center","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102935750","display_name":"Bo Qu","orcid":"https://orcid.org/0000-0003-1431-7079"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Qu","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058796919","display_name":"Si-Yuan Cao","orcid":"https://orcid.org/0000-0001-5143-4501"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si-Yuan Cao","raw_affiliation_strings":["Zhejiang University,Ningbo Global Innovation Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,Ningbo Global Innovation Center","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054403669","display_name":"Runmin Zhang","orcid":"https://orcid.org/0000-0002-8545-9966"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runmin Zhang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101671928","display_name":"Shujie Chen","orcid":"https://orcid.org/0000-0002-4287-8212"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujie Chen","raw_affiliation_strings":["Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015699943","display_name":"Bailin Yang","orcid":"https://orcid.org/0000-0003-1754-5595"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailin Yang","raw_affiliation_strings":["Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Key Laboratory of Big Data and Future E-Commerce Technology,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020795553","display_name":"Hui\u2010Liang Shen","orcid":"https://orcid.org/0000-0001-8469-019X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui-Liang Shen","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"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":"5102","last_page":"5111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.6233000159263611,"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":0.6233000159263611,"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":0.07890000194311142,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.07880000025033951,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.5999000072479248},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5625},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.4699000120162964},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4641999900341034},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45239999890327454},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.4462999999523163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36230000853538513},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.3346000015735626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7400000095367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7382000088691711},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.5999000072479248},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5928000211715698},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5625},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45239999890327454},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.4462999999523163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36230000853538513},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.28999999165534973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26409998536109924},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00485","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.07662","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07662","pdf_url":"https://arxiv.org/pdf/2509.07662","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2509.07662","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2509.07662","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.07662","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.07662","pdf_url":"https://arxiv.org/pdf/2509.07662","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3206715963","display_name":null,"funder_award_id":"62301484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4878298005","display_name":null,"funder_award_id":"2024J454","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G4995838602","display_name":null,"funder_award_id":"2023 YFB 3209800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8181623578","display_name":"\u6781\u4f4e\u7167\u5ea6\u591a\u5149\u8c31\u6210\u50cf\u964d\u8d28\u673a\u7406\u5efa\u6a21\u4e0e\u9ad8\u8d28\u91cf\u590d\u539f\u6280\u672f\u7814\u7a76","funder_award_id":"LD24F020003","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Previous":[0],"deep":[1,174],"image":[2],"registration":[3],"methods":[4],"that":[5,105,121],"employ":[6],"single":[7],"homography,":[8,10],"multi-grid":[9],"or":[11],"thin-plate":[12],"spline":[13],"often":[14],"struggle":[15],"with":[16,42,57],"real":[17],"scenes":[18,56],"containing":[19],"depth":[20,58],"disparities":[21],"due":[22],"to":[23],"their":[24],"inherent":[25,63],"limitations.":[26],"To":[27],"address":[28],"this,":[29],"we":[30,98],"propose":[31,99],"an":[32,43,68,147],"Exponential-Decay":[33],"Free-Form":[34],"Deformation":[35],"Network":[36],"(EDFFDNet),":[37],"which":[38,74],"employs":[39],"free-form":[40],"deformation":[41],"exponential-decay":[44],"basis":[45],"function.":[46],"This":[47],"design":[48],"achieves":[49],"higher":[50],"efficiency":[51,116],"and":[52,94,117,126,132],"performs":[53],"well":[54],"in":[55,81],"disparities,":[59],"benefiting":[60],"from":[61],"its":[62],"locality.":[64],"We":[65],"also":[66,165],"introduce":[67],"Adaptive":[69],"Sparse":[70],"Motion":[71],"Aggregator":[72],"(ASMA),":[73],"replaces":[75],"the":[76,143],"MLP":[77],"motion":[78,112],"aggregator":[79],"used":[80],"previous":[82,173],"methods.":[83,176],"By":[84],"transforming":[85],"dense":[86],"interactions":[87],"into":[88],"sparse":[89],"ones,":[90],"ASMA":[91],"reduces":[92,123],"parameters":[93],"improves":[95,153],"accuracy.":[96,118],"Additionally,":[97],"a":[100,137],"progressive":[101],"correlation":[102,108],"refinement":[103,150],"strategy":[104],"leverages":[106],"global-local":[107],"patterns":[109],"for":[110],"coarse-to-fine":[111],"estimation,":[113],"further":[114,152],"enhancing":[115],"Experiments":[119],"demonstrate":[120],"EDFFDNet":[122],"parameters,":[124],"memory,":[125],"total":[127],"runtime":[128],"by":[129,155],"70.5%,":[130],"32.6%,":[131],"33.7%,":[133],"respectively,":[134],"while":[135,158],"achieving":[136],"0.5":[138],"dB":[139,157],"PSNR":[140,154],"gain":[141],"over":[142],"state-of-the-art":[144],"method.":[145],"With":[146],"additional":[148],"local":[149],"stage,EDFFDNet-2":[151],"1.06":[156],"maintaining":[159],"lower":[160],"computational":[161],"costs.":[162],"Our":[163],"method":[164],"demonstrates":[166],"strong":[167],"generalization":[168],"ability":[169],"across":[170],"datasets,":[171],"outperforming":[172],"learning":[175]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
