{"id":"https://openalex.org/W4403296915","doi":"https://doi.org/10.1109/tpami.2024.3477591","title":"Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera","display_name":"Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera","publication_year":2024,"publication_date":"2024-10-10","ids":{"openalex":"https://openalex.org/W4403296915","doi":"https://doi.org/10.1109/tpami.2024.3477591","pmid":"https://pubmed.ncbi.nlm.nih.gov/39388324"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3477591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3477591","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/A5101727060","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0001-6487-0441"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xianzhang Chen","orcid":"https://orcid.org/0009-0003-0455-9901"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzhang Chen","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019918709","display_name":"Lizhi Wang","orcid":"https://orcid.org/0000-0002-1953-3339"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhi Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, China","School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiao Wang","orcid":"https://orcid.org/0000-0001-6117-6745"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023918894","display_name":"Yonghong Tian","orcid":"https://orcid.org/0000-0002-2978-5935"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Tian","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hua Huang","orcid":"https://orcid.org/0000-0003-2587-1702"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Huang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University, China","School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101727060"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.6868,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72531753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"47","issue":"2","first_page":"807","last_page":"824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.929099977016449,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7803968191146851},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7444796562194824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7020177841186523},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6373779773712158},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5626358389854431},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5120937824249268},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.43223658204078674},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.43039143085479736},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.41769659519195557},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40305233001708984}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7803968191146851},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7444796562194824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020177841186523},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6373779773712158},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5626358389854431},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5120937824249268},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.43223658204078674},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.43039143085479736},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.41769659519195557},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40305233001708984},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3477591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3477591","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:39388324","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39388324","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":[],"awards":[{"id":"https://openalex.org/G4810870800","display_name":null,"funder_award_id":"62131003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5619793573","display_name":null,"funder_award_id":"62302041","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":63,"referenced_works":["https://openalex.org/W206948248","https://openalex.org/W2016574277","https://openalex.org/W2194775991","https://openalex.org/W2470139095","https://openalex.org/W2564998703","https://openalex.org/W2601564443","https://openalex.org/W2788172931","https://openalex.org/W2789435382","https://openalex.org/W2798441772","https://openalex.org/W2799239273","https://openalex.org/W2889986507","https://openalex.org/W2901157565","https://openalex.org/W2904275768","https://openalex.org/W2916797271","https://openalex.org/W2921536280","https://openalex.org/W2963253279","https://openalex.org/W2964343881","https://openalex.org/W2965867763","https://openalex.org/W2966926453","https://openalex.org/W2990205821","https://openalex.org/W2990806702","https://openalex.org/W2998281665","https://openalex.org/W3004212813","https://openalex.org/W3010268791","https://openalex.org/W3034469298","https://openalex.org/W3034538699","https://openalex.org/W3034657761","https://openalex.org/W3040838455","https://openalex.org/W3094664776","https://openalex.org/W3109131508","https://openalex.org/W3109908659","https://openalex.org/W3124624766","https://openalex.org/W3160550216","https://openalex.org/W3170630188","https://openalex.org/W3174847012","https://openalex.org/W3175373394","https://openalex.org/W3183673520","https://openalex.org/W3188021906","https://openalex.org/W3192871594","https://openalex.org/W3196426681","https://openalex.org/W3212395333","https://openalex.org/W4205982568","https://openalex.org/W4214514519","https://openalex.org/W4221147914","https://openalex.org/W4225688144","https://openalex.org/W4312281374","https://openalex.org/W4312383539","https://openalex.org/W4312396403","https://openalex.org/W4312510454","https://openalex.org/W4385245566","https://openalex.org/W4386075877","https://openalex.org/W4387587572","https://openalex.org/W4390874217","https://openalex.org/W4390874575","https://openalex.org/W4402754117","https://openalex.org/W6628877408","https://openalex.org/W6685670348","https://openalex.org/W6759534164","https://openalex.org/W6784713722","https://openalex.org/W6796075269","https://openalex.org/W6796505553","https://openalex.org/W6796524941","https://openalex.org/W6846581650"],"related_works":["https://openalex.org/W4379231730","https://openalex.org/W4389858081","https://openalex.org/W2501551404","https://openalex.org/W4385583601","https://openalex.org/W4298131179","https://openalex.org/W2113201962","https://openalex.org/W4395685956","https://openalex.org/W2799953226","https://openalex.org/W4398146871","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Event":[0],"cameras":[1],"are":[2,159,177],"novel":[3,128],"bio-inspired":[4],"sensors,":[5],"where":[6],"individual":[7],"pixels":[8],"operate":[9],"independently":[10],"and":[11,25,46,144,148,155,190,198,210],"asynchronously,":[12],"generating":[13],"intensity":[14],"changes":[15],"as":[16,174],"events.":[17,168],"Leveraging":[18],"the":[19,56,71,80,91,95,103,185,219,222],"microsecond":[20],"resolution":[21],"(no":[22],"motion":[23],"blur)":[24],"high":[26],"dynamic":[27],"range":[28],"(compatible":[29],"with":[30,142,166],"extreme":[31],"light":[32],"conditions)":[33],"of":[34,117,221],"events,":[35],"there":[36],"is":[37,64,138,172],"considerable":[38],"promise":[39],"in":[40,50,59,110],"directly":[41],"segmenting":[42],"objects":[43,69],"from":[44,55,70,87],"sparse":[45,72],"asynchronous":[47],"event":[48,73,88,111,186,206],"streams":[49],"various":[51],"applications.":[52],"However,":[53],"different":[54],"rich":[57],"cues":[58],"video":[60],"object":[61,85,92,105,201,211],"segmentation,":[62],"it":[63],"challenging":[65],"to":[66,101,182],"segment":[67,102],"complete":[68,104],"stream.":[74,89,187],"In":[75],"this":[76],"paper,":[77],"we":[78,194],"present":[79],"first":[81],"framework":[82,115,164,181],"for":[83],"continuous-time":[84],"segmentation":[86,150,202],"Given":[90],"mask":[93],"at":[94,106],"initial":[96],"time,":[97],"our":[98,114,163,180,192,216],"task":[99],"aims":[100],"any":[107],"subsequent":[108],"time":[109],"streams.":[112],"Specifically,":[113],"consists":[116],"a":[118,127,130,139,149],"Recurrent":[119],"Temporal":[120],"Embedding":[121],"Extraction":[122],"(RTEE)":[123],"module":[124,136],"based":[125],"on":[126,215],"ResLSTM,":[129],"Cross-time":[131],"Spatiotemporal":[132],"Feature":[133],"Modeling":[134],"(CSFM)":[135],"which":[137],"transformer":[140],"architecture":[141],"long-term":[143],"short-term":[145],"matching":[146],"modules,":[147],"head.":[151],"The":[152,169],"historical":[153],"events":[154,176],"masks":[156],"(reference":[157],"sets)":[158],"recurrently":[160],"fed":[161],"into":[162],"along":[165],"current-time":[167],"temporal":[170],"embedding":[171],"updated":[173],"new":[175],"input,":[178],"enabling":[179],"continuously":[183],"process":[184],"To":[188],"train":[189],"test":[191],"model,":[193],"construct":[195],"both":[196],"real-world":[197],"simulated":[199],"event-based":[200],"datasets,":[203],"each":[204],"comprising":[205],"streams,":[207],"APS":[208],"images,":[209],"annotations.":[212],"Extensive":[213],"experiments":[214],"datasets":[217],"demonstrate":[218],"effectiveness":[220],"proposed":[223],"recurrent":[224],"architecture.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}