{"id":"https://openalex.org/W4402916209","doi":"https://doi.org/10.1109/icip51287.2024.10647703","title":"Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention","display_name":"Deep Optical Flow Learning With Deformable Large-Kernel Cross-Attention","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4402916209","doi":"https://doi.org/10.1109/icip51287.2024.10647703"},"language":"en","primary_location":{"id":"doi:10.1109/icip51287.2024.10647703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","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/A5019337921","display_name":"Xuezhi Xiang","orcid":"https://orcid.org/0000-0002-6185-833X"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuezhi Xiang","raw_affiliation_strings":["Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333357","display_name":"Yiming Chen","orcid":"https://orcid.org/0009-0002-3658-2754"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Chen","raw_affiliation_strings":["Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107585249","display_name":"Denis Ombati","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Denis Ombati","raw_affiliation_strings":["Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665946","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-8152-2470"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Guangdong University of Petrochemical Technology,Maoming,China,525000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Petrochemical Technology,Maoming,China,525000","institution_ids":["https://openalex.org/I4210128140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026486701","display_name":"Xiantong Zhen","orcid":"https://orcid.org/0000-0001-5213-0462"},"institutions":[{"id":"https://openalex.org/I4210128140","display_name":"Guangdong University of Petrochemical Technology","ror":"https://ror.org/030ffke25","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128140"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiantong Zhen","raw_affiliation_strings":["Guangdong University of Petrochemical Technology,Maoming,China,525000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong University of Petrochemical Technology,Maoming,China,525000","institution_ids":["https://openalex.org/I4210128140"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14928627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"875","last_page":"879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9768000245094299,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9768000245094299,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9458000063896179,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9279000163078308,"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/optical-flow","display_name":"Optical flow","score":0.6754812002182007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6477549076080322},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5246696472167969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5122048258781433},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.48755520582199097},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4214783310890198},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12998175621032715},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08747082948684692}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6754812002182007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6477549076080322},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5246696472167969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5122048258781433},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.48755520582199097},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4214783310890198},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12998175621032715},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08747082948684692},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip51287.2024.10647703","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip51287.2024.10647703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1513100184","https://openalex.org/W2259424905","https://openalex.org/W2286655030","https://openalex.org/W3034552520","https://openalex.org/W3085056143","https://openalex.org/W3109908659","https://openalex.org/W3147597595","https://openalex.org/W3174911623","https://openalex.org/W3202487934","https://openalex.org/W3215023725","https://openalex.org/W4225293088","https://openalex.org/W4226151448","https://openalex.org/W4312275038","https://openalex.org/W4312636847","https://openalex.org/W4375868851","https://openalex.org/W4385346076","https://openalex.org/W4391021637","https://openalex.org/W6794906783","https://openalex.org/W6797533273","https://openalex.org/W6809698605"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Optical":[0],"flow":[1,116,139],"estimation":[2,140],"from":[3],"image":[4,40,76],"sequences":[5],"is":[6],"a":[7,82],"fundamental":[8],"problem":[9],"in":[10,33,75],"computer":[11],"vision.":[12],"In":[13],"recent":[14],"years,":[15],"some":[16],"methods":[17],"have":[18],"utilized":[19],"Transformer":[20,59],"to":[21,71,126,129],"model":[22,125],"global":[23,104],"dependencies":[24,105],"and":[25,69,93,152],"improve":[26],"optical":[27,115,138],"flow,":[28],"achieving":[29],"impressive":[30],"performance.":[31],"However,":[32],"these":[34],"methods,":[35],"Transformers":[36],"typically":[37],"treat":[38],"two-dimensional":[39,109],"features":[41],"as":[42,150],"one-dimensional":[43],"sequences.":[44],"While":[45],"position":[46,53],"encoding":[47],"partially":[48],"mitigates":[49],"the":[50,89,108,119,124],"loss":[51],"of":[52,91,111],"information":[54],"between":[55],"different":[56,130],"feature":[57,99],"patches,":[58],"still":[60],"lacks":[61],"inherent":[62],"biases":[63],"for":[64],"modeling":[65,103],"local":[66],"visual":[67],"patterns":[68],"tend":[70],"overlook":[72],"channel":[73,100],"characteristics":[74],"features.":[77],"Therefore,":[78],"this":[79],"paper":[80],"introduces":[81],"deformable":[83,121],"large":[84],"kernel":[85],"attention":[86,94],"module,":[87],"combining":[88],"strengths":[90],"convolution":[92],"mechanisms,":[95],"which":[96],"can":[97],"preserve":[98],"adaptability":[101],"while":[102],"without":[106],"compromising":[107],"structure":[110],"features,":[112],"significantly":[113],"enhancing":[114],"estimation.":[117],"Additionally,":[118],"introduced":[120],"mechanism":[122],"allows":[123],"adapt":[127],"appropriately":[128],"data":[131],"patterns.":[132],"Experimental":[133],"results":[134,144],"demonstrate":[135],"that":[136],"our":[137],"method":[141],"achieves":[142],"competitive":[143],"on":[145],"publicly":[146],"available":[147],"benchmarks":[148],"such":[149],"Sintel":[151],"KITTI.":[153]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}