{"id":"https://openalex.org/W3003377712","doi":"https://doi.org/10.1117/12.2557037","title":"DPCAE: denoising point cloud auto-encoder for 6D object detection","display_name":"DPCAE: denoising point cloud auto-encoder for 6D object detection","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003377712","doi":"https://doi.org/10.1117/12.2557037","mag":"3003377712"},"language":"en","primary_location":{"id":"doi:10.1117/12.2557037","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5070131811","display_name":"Haozhe Huang","orcid":"https://orcid.org/0000-0003-1675-2170"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haozhe Huang","raw_affiliation_strings":["Shanghai Jiao Tong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ. (China)","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015781836","display_name":"Dewei Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dewei Zou","raw_affiliation_strings":["Shanghai Jiao Tong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ. (China)","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108703289","display_name":"Zilong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Zhang","raw_affiliation_strings":["Shanghai Jiao Tong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ. (China)","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057744294","display_name":"Zizhao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zizhao Huang","raw_affiliation_strings":["Shanghai Jiao Tong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ. (China)","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054830882","display_name":"Wei Qin","orcid":"https://orcid.org/0000-0002-8527-0354"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Qin","raw_affiliation_strings":["Shanghai Jiao Tong Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong Univ. (China)","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070131811"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01399812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10653","display_name":"Robot Manipulation and Learning","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10868","display_name":"Soft Robotics and Applications","score":0.9930999875068665,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7857712507247925},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7781503796577454},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7710244059562683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7606136798858643},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6873224377632141},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5478302836418152},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.492546409368515},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.4863470196723938},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.46430519223213196},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4108313024044037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.22968855500221252}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7857712507247925},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7781503796577454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710244059562683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7606136798858643},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6873224377632141},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5478302836418152},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.492546409368515},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.4863470196723938},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.46430519223213196},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4108313024044037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.22968855500221252},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2557037","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2557037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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":0,"referenced_works":[],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W4389574804","https://openalex.org/W2123263858","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W3127959533","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W4320086129"],"abstract_inverted_index":{"6D":[0],"pose":[1],"estimation":[2,31],"for":[3,28],"robotic":[4],"gripping":[5],"is":[6,22,32,111],"greatly":[7],"affected":[8],"by":[9,24,67],"cluttering,":[10],"rendering":[11,45],"and":[12,47,50,91,120],"occlusion.":[13,51],"Unlike":[14],"the":[15,44,54,59,62,68,77,81,96,99,103],"mainstream":[16],"method":[17],"with":[18,80,122,125],"RGB":[19],"images":[20],"which":[21,41],"troubled":[23],"rendering,":[25],"our":[26,108],"approach":[27,110],"3D":[29],"orientation":[30,90],"based":[33],"on":[34,102],"a":[35],"Denoising":[36],"Point":[37],"Cloud":[38],"Auto-encoder":[39,60],"(DPCAE)":[40],"can":[42],"avoid":[43],"problem":[46],"eliminate":[48],"cluttering":[49],"Independent":[52],"of":[53,72,88,98],"real":[55,126],"pose-annotated":[56,127],"training":[57],"data,":[58],"uses":[61],"point":[63],"cloud":[64],"data":[65],"generated":[66],"random":[69],"object":[70,74,89],"coverage":[71],"each":[73],"surface":[75,97],"in":[76],"simulated":[78],"environment,":[79],"ability":[82],"to":[83,94,113],"obtain":[84],"an":[85],"implicit":[86],"representation":[87],"remove":[92],"outliers":[93],"restore":[95],"objects.":[100],"Experiments":[101],"LineMod":[104],"dataset":[105],"show":[106],"that":[107,115],"proposed":[109],"superior":[112],"those":[114],"require":[116],"similar":[117],"model-based":[118],"approaches":[119,124],"competes":[121],"state-of-the-art":[123],"images.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
