{"id":"https://openalex.org/W4309662209","doi":"https://doi.org/10.1109/tpami.2022.3223789","title":"Unsupervised Global and Local Homography Estimation With Motion Basis Learning","display_name":"Unsupervised Global and Local Homography Estimation With Motion Basis Learning","publication_year":2022,"publication_date":"2022-11-21","ids":{"openalex":"https://openalex.org/W4309662209","doi":"https://doi.org/10.1109/tpami.2022.3223789","pmid":"https://pubmed.ncbi.nlm.nih.gov/36409814"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3223789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3223789","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/A5039387461","display_name":"Shuaicheng Liu","orcid":null},"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":true,"raw_author_name":"Shuaicheng Liu","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032017736","display_name":"Yuhang Lu","orcid":"https://orcid.org/0000-0002-1072-3443"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Lu","raw_affiliation_strings":["Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008014616","display_name":"Hai Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Jiang","raw_affiliation_strings":["School of Aeronautics and Astronautics, Sichuan University, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Sichuan University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083972141","display_name":"Nianjin Ye","orcid":"https://orcid.org/0000-0002-7459-2390"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nianjin Ye","raw_affiliation_strings":["Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443606","display_name":"Chuan Wang","orcid":"https://orcid.org/0000-0002-8559-4519"},"institutions":[{"id":"https://openalex.org/I4401726805","display_name":"Megvii (China)","ror":"https://ror.org/040b32p69","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726805"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Wang","raw_affiliation_strings":["Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Megvii Technology, Megvii Research Chengdu, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4401726805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077470082","display_name":"Bing Zeng","orcid":"https://orcid.org/0000-0002-4491-7967"},"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":"Bing Zeng","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039387461"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.9365,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87640326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"45","issue":"6","first_page":"7885","last_page":"7899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9962000250816345,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9962000250816345,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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":0.9919999837875366,"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/homography","display_name":"Homography","score":0.8895636200904846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.673735499382019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6065826416015625},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.547943651676178},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5337961912155151},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4766308069229126},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4724854826927185},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4285372197628021},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4154159128665924},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4141424894332886},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4139622449874878},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2980618178844452}],"concepts":[{"id":"https://openalex.org/C28751775","wikidata":"https://www.wikidata.org/wiki/Q2112539","display_name":"Homography","level":4,"score":0.8895636200904846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.673735499382019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6065826416015625},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.547943651676178},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5337961912155151},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4766308069229126},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4724854826927185},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4285372197628021},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4154159128665924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4141424894332886},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4139622449874878},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2980618178844452},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3223789","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3223789","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:36409814","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36409814","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":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G4883897726","display_name":null,"funder_award_id":"61872067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5269616794","display_name":null,"funder_award_id":"61720106004","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W603908379","https://openalex.org/W1522301498","https://openalex.org/W1677409904","https://openalex.org/W1904063580","https://openalex.org/W1951289974","https://openalex.org/W1963246386","https://openalex.org/W1992989752","https://openalex.org/W1997201895","https://openalex.org/W2035379092","https://openalex.org/W2050551672","https://openalex.org/W2059729733","https://openalex.org/W2085261163","https://openalex.org/W2101544546","https://openalex.org/W2117228865","https://openalex.org/W2118877769","https://openalex.org/W2121058967","https://openalex.org/W2129812935","https://openalex.org/W2151103935","https://openalex.org/W2294798173","https://openalex.org/W2302255633","https://openalex.org/W2320444803","https://openalex.org/W2519006193","https://openalex.org/W2740578684","https://openalex.org/W2754925132","https://openalex.org/W2962864875","https://openalex.org/W2963346260","https://openalex.org/W2963891416","https://openalex.org/W2967756832","https://openalex.org/W2973665503","https://openalex.org/W2990394353","https://openalex.org/W2990655570","https://openalex.org/W3016959483","https://openalex.org/W3034275286","https://openalex.org/W3034364596","https://openalex.org/W3034438849","https://openalex.org/W3034896357","https://openalex.org/W3035239331","https://openalex.org/W3043075211","https://openalex.org/W3097941873","https://openalex.org/W3108086282","https://openalex.org/W3176336346","https://openalex.org/W3182809356","https://openalex.org/W3184023119","https://openalex.org/W3196890453","https://openalex.org/W3204526765","https://openalex.org/W4200495456","https://openalex.org/W4249418251","https://openalex.org/W4301454730","https://openalex.org/W6618372016","https://openalex.org/W6631190155","https://openalex.org/W6637400245","https://openalex.org/W6677548441","https://openalex.org/W6698183232","https://openalex.org/W6700340091","https://openalex.org/W6718003766"],"related_works":["https://openalex.org/W4313151434","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"In":[0],"this":[1,129],"paper,":[2],"we":[3,29,68,96,150],"introduce":[4],"a":[5,27,31,40,51,70,98,169],"new":[6],"framework":[7],"for":[8,26],"unsupervised":[9,132],"deep":[10],"homography":[11,32,46,52,147,160,197],"estimation.":[12],"Our":[13],"contributions":[14],"are":[15,89,93,142,174],"3":[16],"folds.":[17],"First,":[18],"unlike":[19],"previous":[20],"methods":[21],"that":[22,57,76,82,111,189],"regress":[23],"4":[24],"offsets":[25],"homography,":[28],"propose":[30,69,97],"flow":[33,47,148],"representation,":[34],"which":[35,162],"can":[36,134,163],"be":[37,115,135],"estimated":[38],"by":[39],"weighted":[41],"sum":[42],"of":[43,64,120,168,180],"8":[44,54],"pre-defined":[45],"bases.":[48],"Second,":[49],"considering":[50],"contains":[53],"Degree-of-Freedoms":[55],"(DOFs)":[56],"is":[58,126,205],"much":[59],"less":[60],"than":[61],"the":[62,65,78,86,105,112,118,131,139,154,166,178,182,193,196],"rank":[63],"network":[66],"features,":[67],"Low":[71],"Rank":[72],"Representation":[73],"(LRR)":[74],"block":[75],"reduces":[77],"feature":[79,108,124],"rank,":[80],"so":[81],"features":[83,141],"corresponding":[84],"to":[85,103,157,176],"dominant":[87],"motions":[88],"retained":[90],"while":[91],"others":[92],"rejected.":[94],"Last,":[95],"Feature":[99],"Identity":[100],"Loss":[101],"(FIL)":[102],"enforce":[104],"learned":[106,140],"image":[107],"warp-equivariant,":[109],"meaning":[110],"result":[113],"should":[114],"identical":[116],"if":[117],"order":[119],"warp":[121],"operation":[122],"and":[123,138,186,202],"extraction":[125],"swapped.":[127],"With":[128,145],"constraint,":[130],"optimization":[133],"more":[136,143],"effective":[137],"stable.":[144],"global-to-local":[146],"refinement,":[149],"also":[151],"naturally":[152],"generalize":[153],"proposed":[155,184],"method":[156],"local":[158],"mesh-grid":[159],"estimation,":[161],"go":[164],"beyond":[165],"constraint":[167],"single":[170],"homography.":[171],"Extensive":[172],"experiments":[173],"conducted":[175],"demonstrate":[177],"effectiveness":[179],"all":[181],"newly":[183],"components,":[185],"results":[187],"show":[188],"our":[190],"approach":[191],"outperforms":[192],"state-of-the-art":[194],"on":[195],"benchmark":[198],"dataset":[199],"both":[200],"qualitatively":[201],"quantitatively.":[203],"Code":[204],"available":[206],"at":[207],"https://github.com/megvii-research/BasesHomo.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-09T08:58:05.943551","created_date":"2025-10-10T00:00:00"}
