{"id":"https://openalex.org/W2944270177","doi":"https://doi.org/10.1109/tits.2019.2909053","title":"Depth Embedded Recurrent Predictive Parsing Network for Video Scenes","display_name":"Depth Embedded Recurrent Predictive Parsing Network for Video Scenes","publication_year":2019,"publication_date":"2019-05-21","ids":{"openalex":"https://openalex.org/W2944270177","doi":"https://doi.org/10.1109/tits.2019.2909053","mag":"2944270177"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2019.2909053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2909053","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://durham-repository.worktribe.com/output/1294785","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101062051","display_name":"Lingli Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingli Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064008061","display_name":"Haofeng Zhang","orcid":"https://orcid.org/0000-0002-4039-7618"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haofeng Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011037821","display_name":"Yang Long","orcid":"https://orcid.org/0000-0002-2445-6112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Long","raw_affiliation_strings":["Open Laboratory, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K"],"affiliations":[{"raw_affiliation_string":"Open Laboratory, School of Computing, University of Newcastle, Newcastle upon Tyne, U.K","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082634513","display_name":"Ling Shao","orcid":"https://orcid.org/0000-0002-8264-6117"},"institutions":[{"id":"https://openalex.org/I4210116052","display_name":"Inception Institute of Artificial Intelligence","ror":"https://ror.org/02664zk40","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210116052"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates"],"affiliations":[{"raw_affiliation_string":"Inception Institute of Artificial Intelligence (IIAI), Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210116052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063288559","display_name":"Jingyu Yang","orcid":"https://orcid.org/0000-0002-7521-7920"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101062051"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":1.5183,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.8617181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"20","issue":"12","first_page":"4643","last_page":"4654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9987999796867371,"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/parsing","display_name":"Parsing","score":0.9083069562911987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.799479603767395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7349188327789307},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6734398603439331},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5319462418556213},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5300787687301636},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5270951986312866}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.9083069562911987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.799479603767395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7349188327789307},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6734398603439331},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5319462418556213},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5300787687301636},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5270951986312866},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tits.2019.2909053","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2019.2909053","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:dro.dur.ac.uk.OAI2:28979","is_oa":false,"landing_page_url":"http://dro.dur.ac.uk/28979/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196258","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"IEEE transactions on intelligent transportation systems, 2019, Vol.20(12), pp.4643-4654 [Peer Reviewed Journal]","raw_type":"Article"},{"id":"pmh:oai:durham-repository.worktribe.com:1294785","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1294785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:durham-repository.worktribe.com:1294785","is_oa":true,"landing_page_url":"https://durham-repository.worktribe.com/output/1294785","pdf_url":null,"source":{"id":"https://openalex.org/S4306400188","display_name":"Durham Research Online (Durham University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I190082696","host_organization_name":"Durham University","host_organization_lineage":["https://openalex.org/I190082696"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1000548808","display_name":null,"funder_award_id":"61871444","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1619977957","display_name":"Intelligent Healthcare Systems for Large-scale Populations","funder_award_id":"MR/S003916/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G3000430873","display_name":null,"funder_award_id":"MR/S003916/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G5371617261","display_name":null,"funder_award_id":"61872187","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7197601580","display_name":null,"funder_award_id":"MR/S003916/2","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"},{"id":"https://openalex.org/G8344853726","display_name":null,"funder_award_id":"61773215","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"},{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1507506748","https://openalex.org/W1565402342","https://openalex.org/W1593727536","https://openalex.org/W1686810756","https://openalex.org/W1689711448","https://openalex.org/W1817277359","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1923697677","https://openalex.org/W1932624639","https://openalex.org/W1951289974","https://openalex.org/W2037227137","https://openalex.org/W2067912884","https://openalex.org/W2102605133","https://openalex.org/W2106564373","https://openalex.org/W2108598243","https://openalex.org/W2115579991","https://openalex.org/W2144409879","https://openalex.org/W2155893237","https://openalex.org/W2166880842","https://openalex.org/W2171943915","https://openalex.org/W2194775991","https://openalex.org/W2255466643","https://openalex.org/W2340897893","https://openalex.org/W2402144811","https://openalex.org/W2412782625","https://openalex.org/W2508672025","https://openalex.org/W2560023338","https://openalex.org/W2560311620","https://openalex.org/W2563705555","https://openalex.org/W2599829010","https://openalex.org/W2630837129","https://openalex.org/W2743353723","https://openalex.org/W2746301562","https://openalex.org/W2777686015","https://openalex.org/W2901851926","https://openalex.org/W2913167082","https://openalex.org/W2925327970","https://openalex.org/W2953384591","https://openalex.org/W2962835968","https://openalex.org/W2963019093","https://openalex.org/W2963038646","https://openalex.org/W2963451564","https://openalex.org/W2963532813","https://openalex.org/W2963601622","https://openalex.org/W2963881378","https://openalex.org/W6629098493","https://openalex.org/W6630336748","https://openalex.org/W6637373629","https://openalex.org/W6638480814","https://openalex.org/W6639824700","https://openalex.org/W6640295612","https://openalex.org/W6713134421","https://openalex.org/W6726025052","https://openalex.org/W6730044627","https://openalex.org/W6745408861","https://openalex.org/W6761089431"],"related_works":["https://openalex.org/W579810227","https://openalex.org/W2952780262","https://openalex.org/W2979495269","https://openalex.org/W2392917763","https://openalex.org/W2083429127","https://openalex.org/W2358855848","https://openalex.org/W2142145894","https://openalex.org/W2033808215","https://openalex.org/W2807110902","https://openalex.org/W2359307945"],"abstract_inverted_index":{"Semantic":[0],"segmentation-based":[1],"scene":[2,104],"parsing":[3,56,66,105,137,152],"plays":[4],"an":[5],"important":[6],"role":[7],"in":[8,41,108,154],"automatic":[9],"driving":[10],"and":[11,24,141],"autonomous":[12],"navigation.":[13],"However,":[14],"most":[15],"of":[16,88,95,145],"the":[17,35,74,86,89,102,112,142],"previous":[18],"models":[19],"only":[20],"consider":[21],"static":[22],"images,":[23],"fail":[25],"to":[26,83,99,114],"parse":[27],"sequential":[28],"images":[29],"because":[30],"they":[31],"do":[32],"not":[33],"take":[34],"spatial-temporal":[36,122],"continuity":[37],"between":[38],"consecutive":[39,62],"frames":[40],"a":[42,51],"video":[43,103],"into":[44],"account.":[45],"In":[46,68],"this":[47,69,96],"paper,":[48],"we":[49,110],"propose":[50],"depth":[52],"embedded":[53],"recurrent":[54],"predictive":[55,136,143],"network":[57],"(RPPNet),":[58],"which":[59,109],"analyzes":[60],"preceding":[61],"stereo":[63,79],"pairs":[64],"for":[65],"result.":[67],"way,":[70],"RPPNet":[71,113,132,146],"effectively":[72],"learns":[73],"dynamic":[75],"information":[76],"from":[77],"historical":[78],"pairs,":[80],"so":[81],"as":[82],"correctly":[84],"predict":[85],"representations":[87],"next":[90],"frame.":[91],"The":[92,124],"other":[93],"contribution":[94],"paper":[97],"is":[98],"systematically":[100],"study":[101],"(VSP)":[106],"task,":[107],"use":[111],"facilitate":[115],"conventional":[116,150],"image":[117,151],"paring":[118],"features":[119,144],"by":[120],"adding":[121],"information.":[123],"experimental":[125],"results":[126,138],"show":[127],"that":[128],"our":[129],"proposed":[130],"method":[131],"can":[133,147],"achieve":[134],"fine":[135],"on":[139],"cityscapes":[140],"significantly":[148],"improve":[149],"networks":[153],"VSP":[155],"task.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}