{"id":"https://openalex.org/W2510155301","doi":"https://doi.org/10.1109/icme.2016.7552901","title":"Depth-aware layered edge for object proposal","display_name":"Depth-aware layered edge for object proposal","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2510155301","doi":"https://doi.org/10.1109/icme.2016.7552901","mag":"2510155301"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2016.7552901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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/A5108392430","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-0903-9131"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Liu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084591510","display_name":"Tongwei Ren","orcid":"https://orcid.org/0000-0003-3092-424X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongwei Ren","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007962086","display_name":"Bing\u2010Kun Bao","orcid":"https://orcid.org/0000-0001-5956-831X"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing-Kun Bao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Automation, China","State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Automation, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100554094","display_name":"Jia Bei","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Bei","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108392430"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.002,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83078524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9993000030517578,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.7632625699043274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.731714129447937},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7203915119171143},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6759139895439148},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6509053111076355},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.5883903503417969},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5875218510627747},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5637659430503845},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5552828311920166},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5491030216217041},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5099307298660278},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48322710394859314},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4236219525337219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4188002049922943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7632625699043274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.731714129447937},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7203915119171143},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6759139895439148},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6509053111076355},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.5883903503417969},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5875218510627747},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5637659430503845},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5552828311920166},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5491030216217041},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5099307298660278},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48322710394859314},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4236219525337219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4188002049922943},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2016.7552901","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2016.7552901","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Multimedia and Expo (ICME)","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":31,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W97558857","https://openalex.org/W261873710","https://openalex.org/W1534607130","https://openalex.org/W1565402342","https://openalex.org/W1895817907","https://openalex.org/W1922839076","https://openalex.org/W1958328135","https://openalex.org/W1958879265","https://openalex.org/W1991367009","https://openalex.org/W2010181071","https://openalex.org/W2017691720","https://openalex.org/W2031489346","https://openalex.org/W2033959528","https://openalex.org/W2061035601","https://openalex.org/W2088049833","https://openalex.org/W2090463878","https://openalex.org/W2094503980","https://openalex.org/W2102605133","https://openalex.org/W2118246710","https://openalex.org/W2128715914","https://openalex.org/W2129587342","https://openalex.org/W2129818882","https://openalex.org/W2264620161","https://openalex.org/W2293599758","https://openalex.org/W6603927270","https://openalex.org/W6632073158","https://openalex.org/W6639562590","https://openalex.org/W6640833263","https://openalex.org/W6673019796","https://openalex.org/W6679366749"],"related_works":["https://openalex.org/W2974375613","https://openalex.org/W2369744843","https://openalex.org/W2997394683","https://openalex.org/W4292829955","https://openalex.org/W2008001747","https://openalex.org/W4283756154","https://openalex.org/W2991328497","https://openalex.org/W2766547489","https://openalex.org/W4235251315","https://openalex.org/W3217090486"],"abstract_inverted_index":{"Object":[0],"proposal,":[1],"typically":[2],"served":[3],"as":[4],"preprocessing":[5],"of":[6,16,45,48,58,80,87,106],"various":[7],"multimedia":[8],"applications,":[9],"aims":[10],"to":[11,102],"detect":[12,62],"the":[13,43,46,56,63,85,96,103,108,112,122,127,131],"bounding":[14],"boxes":[15,98],"possible":[17],"objects":[18,51],"in":[19,78,91],"an":[20],"image.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25,61,73],"propose":[26],"a":[27],"novel":[28],"object":[29,137],"proposal":[30],"method":[31,124],"for":[32,136],"RGB-D":[33,133],"images":[34],"based":[35],"on":[36,69,130],"layered":[37],"edges,":[38],"which":[39],"can":[40,125],"effectively":[41],"eliminate":[42],"influence":[44],"mixture":[47],"edges":[49,65],"from":[50],"and":[52,54,66,83,111],"background":[53],"improve":[55],"accuracy":[57],"proposals.":[59],"Firstly,":[60],"sparse":[64],"correct":[67],"depth":[68,81,93,109],"super-pixel":[70],"representation.":[71],"Then,":[72],"use":[74],"depth-adaptive":[75],"sliding":[76],"windows":[77],"sampling":[79],"distribution":[82],"measure":[84],"objectness":[86],"each":[88],"candidate":[89,97],"box":[90],"multiple":[92],"layers.":[94],"Finally,":[95],"are":[99,115],"ranked":[100],"according":[101],"integrated":[104],"scores":[105],"all":[107],"layers,":[110],"final":[113],"proposals":[114],"generated.":[116],"The":[117],"experimental":[118],"results":[119],"show":[120],"that":[121],"proposed":[123],"outperform":[126],"state-of-the-art":[128],"methods":[129],"largest":[132],"image":[134],"dataset":[135],"proposal.":[138]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}