{"id":"https://openalex.org/W4416749573","doi":"https://doi.org/10.1109/iros60139.2025.11246017","title":"ETA: Learning Optical Flow with Efficient Temporal Attention","display_name":"ETA: Learning Optical Flow with Efficient Temporal Attention","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416749573","doi":"https://doi.org/10.1109/iros60139.2025.11246017"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5100707717","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-2566-0481"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Wang","raw_affiliation_strings":["National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044447816","display_name":"Zhenping Sun","orcid":"https://orcid.org/0009-0009-1491-5280"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenping Sun","raw_affiliation_strings":["National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015706474","display_name":"Yang Yu","orcid":"https://orcid.org/0000-0002-8967-0427"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100418879","display_name":"Li Liu","orcid":"https://orcid.org/0000-0003-0128-6218"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liu","raw_affiliation_strings":["National University of Defense Technology,College of Electronic Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Electronic Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100692320","display_name":"Jianping Li","orcid":"https://orcid.org/0000-0003-2192-1450"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071074935","display_name":"Dewen Hu","orcid":"https://orcid.org/0000-0001-7357-0053"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewen Hu","raw_affiliation_strings":["National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Intelligence Science and Technology,Changsha,China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100707717"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40169746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20638","last_page":"20645"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.5734000205993652,"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":0.5734000205993652,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.04780000075697899,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.03150000050663948,"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/fuse","display_name":"Fuse (electrical)","score":0.6823999881744385},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5778999924659729},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4823000133037567},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.35109999775886536},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.3499999940395355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.34040001034736633},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.32170000672340393},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.319599986076355}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996999979019165},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6823999881744385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6134999990463257},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5778999924659729},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4823000133037567},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3758000135421753},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.35109999775886536},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C94361409","wikidata":"https://www.wikidata.org/wiki/Q7882500","display_name":"Uncertainty reduction theory","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C2779136372","wikidata":"https://www.wikidata.org/wiki/Q10283002","display_name":"Information flow","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27410000562667847},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1513100184","https://openalex.org/W1578285471","https://openalex.org/W1867429401","https://openalex.org/W1921093919","https://openalex.org/W2171857946","https://openalex.org/W2259424905","https://openalex.org/W2492517581","https://openalex.org/W2560474170","https://openalex.org/W2894983388","https://openalex.org/W2952825894","https://openalex.org/W2962905430","https://openalex.org/W2962989121","https://openalex.org/W2963548592","https://openalex.org/W2963587345","https://openalex.org/W2963782415","https://openalex.org/W2963891416","https://openalex.org/W2964123261","https://openalex.org/W2964140947","https://openalex.org/W2964156315","https://openalex.org/W2967043539","https://openalex.org/W2980116241","https://openalex.org/W3007471652","https://openalex.org/W3013402579","https://openalex.org/W3035552210","https://openalex.org/W3109908659","https://openalex.org/W3132811244","https://openalex.org/W3138516171","https://openalex.org/W3147597595","https://openalex.org/W3202487934","https://openalex.org/W3215023725","https://openalex.org/W4312419644","https://openalex.org/W4312636847","https://openalex.org/W4312790276","https://openalex.org/W4385245566","https://openalex.org/W4389665451","https://openalex.org/W4389667012","https://openalex.org/W4405778896","https://openalex.org/W4405785297","https://openalex.org/W4405786420","https://openalex.org/W4405786896"],"related_works":[],"abstract_inverted_index":{"Considering":[0],"the":[1,9,23,28,32,40,48,57,69,104],"potential":[2],"of":[3,17,59],"using":[4],"multi-frame":[5,18,52],"information":[6,19,30,75],"to":[7,26,62,71,103],"solve":[8],"occlusion":[10],"problem,":[11],"we":[12,55,79],"introduce":[13],"a":[14,98],"novel":[15],"idea":[16,36],"integration,":[20],"which":[21,87],"uses":[22],"attention":[24,60,74],"mechanism":[25],"fuse":[27],"temporal":[29],"from":[31],"previous":[33],"frame.":[34],"The":[35],"can":[37],"effectively":[38],"improve":[39],"estimation":[41],"accuracy":[42],"in":[43],"occluded":[44],"regions":[45],"and":[46,93],"optimize":[47],"inference":[49],"speed":[50],"under":[51],"settings.":[53],"Meanwhile,":[54],"suggest":[56],"concept":[58],"confidence":[61],"provide":[63],"an":[64,81],"explicit":[65],"value":[66],"criterion":[67],"for":[68],"model":[70],"utilize":[72],"useful":[73],"more":[76],"efficiently.":[77],"Furthermore,":[78],"propose":[80],"Efficient":[82],"Temporal":[83],"Attention":[84],"network":[85],"(ETA),":[86],"achieves":[88],"promising":[89],"results":[90],"on":[91,108],"Sintel":[92,109],"KITTI":[94],"benchmarks,":[95],"especially":[96],"with":[97],"9.4%":[99],"error":[100],"reduction":[101],"compared":[102],"baseline":[105],"method":[106],"GMA":[107],"(test)":[110],"Clean.":[111]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-28T00:00:00"}
