{"id":"https://openalex.org/W4308233875","doi":"https://doi.org/10.1109/icip46576.2022.9898068","title":"Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling","display_name":"Self-Supervised Learning of Optical Flow, Depth, Camera Pose and Rigidity Segmentation with Occlusion Handling","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308233875","doi":"https://doi.org/10.1109/icip46576.2022.9898068"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9898068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898068","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/A5051282546","display_name":"Rokia Abdein","orcid":"https://orcid.org/0000-0003-2510-1804"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"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":true,"raw_author_name":"Rokia Abdein","raw_affiliation_strings":["Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113902444","display_name":"Xuezhi Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"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","Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China","institution_ids":["https://openalex.org/I890469752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065504878","display_name":"Ning Lv","orcid":"https://orcid.org/0000-0003-4091-714X"},"institutions":[{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]},{"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":"Ning Lv","raw_affiliation_strings":["Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Engineering University,School of Information and Communication Engineering,Harbin,China,150001","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China","institution_ids":["https://openalex.org/I890469752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051282546"],"corresponding_institution_ids":["https://openalex.org/I151727225","https://openalex.org/I890469752"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28539855,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":1.0,"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":1.0,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9976999759674072,"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":0.8697665929794312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7742190361022949},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7723786234855652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6864441633224487},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5369868278503418},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.5218873620033264},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.46597763895988464},{"id":"https://openalex.org/keywords/depth-perception","display_name":"Depth perception","score":0.4553459584712982},{"id":"https://openalex.org/keywords/rigidity","display_name":"Rigidity (electromagnetism)","score":0.44391775131225586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10503262281417847},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10116642713546753}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.8697665929794312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7742190361022949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7723786234855652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6864441633224487},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5369868278503418},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.5218873620033264},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.46597763895988464},{"id":"https://openalex.org/C52672216","wikidata":"https://www.wikidata.org/wiki/Q1749840","display_name":"Depth perception","level":3,"score":0.4553459584712982},{"id":"https://openalex.org/C160343418","wikidata":"https://www.wikidata.org/wiki/Q185256","display_name":"Rigidity (electromagnetism)","level":2,"score":0.44391775131225586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10503262281417847},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10116642713546753},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9898068","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9898068","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 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/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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1612997784","https://openalex.org/W2129671742","https://openalex.org/W2520707372","https://openalex.org/W2810554001","https://openalex.org/W2890949887","https://openalex.org/W2904340070","https://openalex.org/W2949023359","https://openalex.org/W2962864875","https://openalex.org/W2963583471","https://openalex.org/W2963891416","https://openalex.org/W2963906250","https://openalex.org/W2964140947","https://openalex.org/W2964677288","https://openalex.org/W2964968086","https://openalex.org/W2967043539","https://openalex.org/W2970881233","https://openalex.org/W2980116241","https://openalex.org/W3007774126","https://openalex.org/W3013402579","https://openalex.org/W3034642839","https://openalex.org/W3100280854","https://openalex.org/W3173561529","https://openalex.org/W3173805712","https://openalex.org/W3176336346"],"related_works":["https://openalex.org/W2771419958","https://openalex.org/W1986056272","https://openalex.org/W2605482345","https://openalex.org/W2741636507","https://openalex.org/W4307472573","https://openalex.org/W36187127","https://openalex.org/W2110839324","https://openalex.org/W2044147530","https://openalex.org/W2576471573","https://openalex.org/W1965228310"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,30,79],"propose":[4,31],"a":[5,32],"self-supervised":[6,92],"scene":[7],"flow":[8,52,61,84,117,131],"framework":[9],"for":[10,129,136],"joint":[11],"learning":[12],"of":[13],"optical":[14,51,60,83,99,116,130],"flow,":[15],"stereo":[16],"depth,":[17,138],"camera":[18,67],"pose,":[19,139],"and":[20,23,45,53,62,88,98,112,132,140],"rigidity":[21,110],"map":[22,111],"handle":[24],"the":[25,38,42,47,58,66,71,82,96,102,105,109,114,122,137],"occlusion":[26,39],"during":[27],"training.":[28],"Specifically,":[29],"feature":[33],"masking":[34],"method":[35],"to":[36,64],"alleviate":[37],"impact":[40],"on":[41,125],"correlation":[43],"result":[44],"reduce":[46],"outliers":[48],"in":[49,85,104],"both":[50,86],"depth":[54,63],"map.":[55],"We":[56],"use":[57],"improved":[59],"estimate":[65],"motion":[68],"directly":[69],"using":[70],"Perspective-n-Point":[72],"method,":[73],"which":[74],"improves":[75,113],"it":[76],"accordingly.":[77,118],"Furthermore,":[78],"recursively":[80],"update":[81],"occluded":[87,106],"non-occluded":[89],"regions":[90,107],"with":[91],"cues":[93],"learned":[94],"from":[95],"rigid":[97],"flows.":[100],"Reducing":[101],"error":[103],"enhances":[108],"final":[115],"Our":[119],"model":[120],"achieved":[121],"state-of-the-art":[123],"performance":[124],"KITTI":[126],"2015":[127],"benchmark":[128],"produced":[133],"competitive":[134],"results":[135],"segmentation":[141],"tasks.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
