{"id":"https://openalex.org/W4285174596","doi":"https://doi.org/10.1109/lsp.2022.3180306","title":"Improving Stereo Matching Generalization via Fourier-Based Amplitude Transform","display_name":"Improving Stereo Matching Generalization via Fourier-Based Amplitude Transform","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285174596","doi":"https://doi.org/10.1109/lsp.2022.3180306"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3180306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3180306","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5100358696","display_name":"Xing Li","orcid":"https://orcid.org/0000-0003-2193-0437"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Li","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China"],"raw_orcid":"https://orcid.org/0000-0003-2193-0437","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015995416","display_name":"Yangyu Fan","orcid":"https://orcid.org/0000-0003-0689-5418"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyu Fan","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China"],"raw_orcid":"https://orcid.org/0000-0003-0689-5418","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061149469","display_name":"Zhibo Rao","orcid":"https://orcid.org/0000-0001-7832-2913"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibo Rao","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China"],"raw_orcid":"https://orcid.org/0000-0001-7832-2913","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101449450","display_name":"Zhe Guo","orcid":"https://orcid.org/0000-0001-8024-1434"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Guo","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China"],"raw_orcid":"https://orcid.org/0000-0001-8024-1434","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072820861","display_name":"Guoyun Lv","orcid":"https://orcid.org/0000-0003-2262-3236"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyun Lv","raw_affiliation_strings":["School of Electronics and Information, Northwestern Polytechnical University, Xian, China","School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China"],"raw_orcid":"https://orcid.org/0000-0003-2262-3236","affiliations":[{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"School of Electronics and Information, Northwestern Polytechnical University, Xian 710129, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73841242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":null,"first_page":"1362","last_page":"1366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7296048402786255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6416333317756653},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.581797182559967},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.46997135877609253},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45011720061302185},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4407127797603607},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4282747507095337},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39121854305267334},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.22809958457946777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18844953179359436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296048402786255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6416333317756653},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.581797182559967},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.46997135877609253},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45011720061302185},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4407127797603607},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4282747507095337},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39121854305267334},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.22809958457946777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18844953179359436},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3180306","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3180306","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8424717203","display_name":"\u57fa\u4e8e\u591a\u4efb\u52a1\u8de8\u57df\u5b66\u4e60\u7684\u975e\u53d7\u63a7\u6761\u4ef6\u4e0b\u4eba\u8138\u8868\u60c5\u8bc6\u522b\u7814\u7a76","funder_award_id":"62071384","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":34,"referenced_works":["https://openalex.org/W1921093919","https://openalex.org/W1964057156","https://openalex.org/W2010581936","https://openalex.org/W2096070062","https://openalex.org/W2117248802","https://openalex.org/W2122787031","https://openalex.org/W2148534289","https://openalex.org/W2150066425","https://openalex.org/W2259424905","https://openalex.org/W2262607787","https://openalex.org/W2431874326","https://openalex.org/W2741885505","https://openalex.org/W2952813711","https://openalex.org/W2952825894","https://openalex.org/W2963617879","https://openalex.org/W2963619659","https://openalex.org/W3004166074","https://openalex.org/W3024420612","https://openalex.org/W3034272105","https://openalex.org/W3034548607","https://openalex.org/W3041219150","https://openalex.org/W3094340127","https://openalex.org/W3106635087","https://openalex.org/W3127535616","https://openalex.org/W3154285527","https://openalex.org/W3175408382","https://openalex.org/W3177322621","https://openalex.org/W3183864931","https://openalex.org/W3184257778","https://openalex.org/W3198656281","https://openalex.org/W3199205822","https://openalex.org/W3213669534","https://openalex.org/W4211113486","https://openalex.org/W4317743331"],"related_works":["https://openalex.org/W2008311543","https://openalex.org/W3162204513","https://openalex.org/W2802845977","https://openalex.org/W3097412542","https://openalex.org/W2078793534","https://openalex.org/W2318109418","https://openalex.org/W2120847449","https://openalex.org/W2584505851","https://openalex.org/W4225639054","https://openalex.org/W1967434260"],"abstract_inverted_index":{"Stereo":[0],"matching":[1],"CNNs":[2],"suffer":[3],"from":[4,12],"performance":[5,25],"deteriorate":[6],"when":[7,150],"evaluated":[8],"under":[9],"different":[10,27,160],"distributions":[11],"training":[13,64,152],"data.":[14,92,148],"Previous":[15],"domain":[16,68,139],"adaptation/generalization":[17],"methods":[18],"are":[19],"hard":[20],"to":[21,53,65,79,105,146],"maintain":[22],"a":[23],"robust":[24],"in":[26],"baselines":[28,161],"and":[29,76,97,117,120,128],"usually":[30],"require":[31],"difficult":[32],"adversarial":[33],"optimization":[34],"or":[35],"intricate":[36],"network":[37],"structure.":[38],"To":[39,93],"solve":[40],"this":[41],"problem,":[42],"we":[43,71,101],"propose":[44],"Fourier-based":[45],"amplitude":[46,83],"transform":[47,75],"(FAT),":[48],"mapping":[49],"the":[50,54,67,73,81,86,90,99,107,110,121,124],"source":[51,87,116,125,142],"image":[52,127],"target":[55,91,118,147],"style":[56,96],"without":[57],"altering":[58],"semantic":[59],"content,":[60],"which":[61],"requires":[62],"no":[63],"perform":[66],"alignment.":[69],"Specifically,":[70],"leverage":[72],"Fourier":[74],"its":[77,129],"inverse":[78],"swap":[80],"low-frequency":[82],"component":[84],"of":[85,112],"data":[88,143],"with":[89],"effectively":[94],"map":[95],"relieve":[98],"artifacts,":[100],"introduce":[102],"two":[103],"factors":[104],"control":[106],"replacing":[108],"area:":[109],"distance":[111],"HSV":[113],"distribution":[114,144],"between":[115,123],"images;":[119],"difference":[122],"left":[126,131],"warped":[130],"image.":[132],"Experiments":[133],"testify":[134],"FAT":[135,156],"can":[136,157],"significantly":[137],"bridge":[138],"gaps,":[140],"making":[141],"closer":[145],"Furthermore,":[149],"only":[151],"on":[153,167],"synthetic":[154],"datasets,":[155],"also":[158],"help":[159],"achieve":[162],"competitive":[163],"cross-domain":[164],"generalization":[165],"capabilities":[166],"real":[168],"datasets.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
