{"id":"https://openalex.org/W4414360157","doi":"https://doi.org/10.24963/ijcai.2025/136","title":"Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme","display_name":"Optical Flow Estimation for Tiny Objects: New Problem, Specialized Benchmark, and Bioinspired Scheme","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360157","doi":"https://doi.org/10.24963/ijcai.2025/136"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/136","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5114187203","display_name":"Xueyao Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueyao Ji","raw_affiliation_strings":["Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367292","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0001-5859-3724"},"institutions":[{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China","Chinese Institute for Brain Research (CIBR), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115644"]},{"raw_affiliation_string":"Chinese Institute for Brain Research (CIBR), Beijing, China","institution_ids":["https://openalex.org/I4210115644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101789659","display_name":"Yizheng Wang","orcid":"https://orcid.org/0009-0002-8915-2352"},"institutions":[{"id":"https://openalex.org/I4210115644","display_name":"Chinese Institute for Brain Research","ror":"https://ror.org/029819q61","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210115644"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizheng Wang","raw_affiliation_strings":["Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brain Research Center, Beijing Institute of Basic Medical Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210115644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4905,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66591934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1215","last_page":"1223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.9075999855995178,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.579800009727478},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.5339000225067139},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5318999886512756},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49239999055862427},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.47209998965263367},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4593000113964081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7314000129699707},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630999803543091},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.5339000225067139},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5156999826431274},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49239999055862427},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3224000036716461},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/136","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Optical":[0],"flow":[1,87],"is":[2],"pivotal":[3],"in":[4,125],"video-based":[5],"tasks,":[6],"yet":[7],"existing":[8],"methods":[9],"mostly":[10],"focus":[11],"on":[12,130],"medium-/large-size":[13],"objects,":[14],"while":[15],"underperforming":[16],"when":[17],"characterizing":[18],"the":[19,30,43],"motion":[20,70,133],"of":[21,71],"tiny":[22,72,102,131],"objects.":[23],"To":[24],"bridge":[25],"this":[26],"gap,":[27],"we":[28],"introduce":[29],"On-off":[31],"Time-delay":[32],"with":[33,83],"Hassenstein-Reichardt":[34],"correlator":[35],"(OTHR),":[36],"a":[37,61,65,106],"computationally":[38],"efficient":[39],"scheme":[40],"inspired":[41],"by":[42,151],"primate":[44],"visual":[45],"cortex's":[46],"direction":[47,63],"selectivity":[48],"mechanism.":[49],"OTHR":[50,80,145],"kernels,":[51],"applied":[52],"across":[53],"multiple":[54],"frames,":[55],"discern":[56],"bright/dark":[57],"luminance":[58],"changes":[59],"along":[60],"specific":[62],"over":[64,121],"time":[66],"delay,":[67],"effectively":[68],"estimating":[69],"objects":[73,103,111,140],"amidst":[74],"noise":[75],"and":[76,93,104,148,153],"static":[77],"backgrounds.":[78],"Notably,":[79],"integrates":[81],"seamlessly":[82],"leading":[84],"deep":[85],"learning":[86],"estimation":[88,134],"models":[89],"such":[90,110],"as":[91],"RAFT":[92,147],"FlowFormer.":[94],"We":[95],"also":[96],"propose":[97],"refined":[98],"evaluation":[99],"metrics":[100],"for":[101,139],"contribute":[105],"new":[107],"dataset":[108],"featuring":[109],"to":[112],"aid":[113],"algorithm":[114],"development.":[115],"Our":[116],"experiments":[117],"confirm":[118],"OTHR's":[119],"superiority":[120],"competing":[122],"methods,":[123],"particularly":[124],"enhancing":[126],"state-of-the-art":[127],"models'":[128],"performance":[129],"object":[132],"at":[135,161],"minimal":[136],"cost.":[137],"Specifically,":[138],"less":[141],"than":[142],"100":[143],"pixels,":[144],"reduces":[146],"FlowFormer's":[149],"errors":[150],"22.03%":[152],"83.50%,":[154],"respectively.":[155],"The":[156],"codes":[157],"will":[158],"be":[159],"accessible":[160],"https://github.com/JaneEliot/OTHR.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}