{"id":"https://openalex.org/W116751493","doi":"https://doi.org/10.1007/978-3-319-10599-4_41","title":"Sliding Shapes for 3D Object Detection in Depth Images","display_name":"Sliding Shapes for 3D Object Detection in Depth Images","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W116751493","doi":"https://doi.org/10.1007/978-3-319-10599-4_41","mag":"116751493"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-10599-4_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10599-4_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5004644695","display_name":"Shuran Song","orcid":"https://orcid.org/0000-0002-8768-7356"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuran Song","raw_affiliation_strings":["Princeton University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040082544","display_name":"Jianxiong Xiao","orcid":"https://orcid.org/0000-0001-9605-0341"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianxiong Xiao","raw_affiliation_strings":["Princeton University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":21.0637,"has_fulltext":false,"cited_by_count":392,"citation_normalized_percentile":{"value":0.99608944,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"634","last_page":"651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.4327000081539154,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.4327000081539154,"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":0.09269999712705612,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.045899998396635056,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8368231058120728},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7783787846565247},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7140395641326904},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6952493190765381},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6915384531021118},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6628422737121582},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5547077059745789},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5368303656578064},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43616536259651184},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4281514286994934},{"id":"https://openalex.org/keywords/depth-map","display_name":"Depth map","score":0.4184887409210205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4180167317390442},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4174523651599884},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4141940772533417},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.21593129634857178},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14466506242752075},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.08902674913406372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8368231058120728},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7783787846565247},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7140395641326904},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6952493190765381},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6915384531021118},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6628422737121582},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5547077059745789},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5368303656578064},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43616536259651184},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4281514286994934},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.4184887409210205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4180167317390442},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4174523651599884},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4141940772533417},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.21593129634857178},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14466506242752075},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.08902674913406372},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/978-3-319-10599-4_41","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-10599-4_41","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.662.3018","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.662.3018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.princeton.edu/projects/2014/SlidingShapes/paper.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.685.3223","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.685.3223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://slidingshapes.cs.princeton.edu/supp.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":90,"referenced_works":["https://openalex.org/W52592340","https://openalex.org/W125693051","https://openalex.org/W144807959","https://openalex.org/W194047500","https://openalex.org/W566730006","https://openalex.org/W1482825550","https://openalex.org/W1542534308","https://openalex.org/W1555507218","https://openalex.org/W1564871316","https://openalex.org/W1573897183","https://openalex.org/W1832500336","https://openalex.org/W1934027668","https://openalex.org/W1982392942","https://openalex.org/W1982428585","https://openalex.org/W1983670955","https://openalex.org/W1985238052","https://openalex.org/W1985699916","https://openalex.org/W1987648924","https://openalex.org/W1989684337","https://openalex.org/W1990345222","https://openalex.org/W1995628331","https://openalex.org/W2005175937","https://openalex.org/W2007972795","https://openalex.org/W2010625607","https://openalex.org/W2011158589","https://openalex.org/W2011792403","https://openalex.org/W2017814585","https://openalex.org/W2031489346","https://openalex.org/W2033889706","https://openalex.org/W2034308880","https://openalex.org/W2036196300","https://openalex.org/W2041469568","https://openalex.org/W2046875449","https://openalex.org/W2049351243","https://openalex.org/W2049776679","https://openalex.org/W2049981393","https://openalex.org/W2054329862","https://openalex.org/W2060280062","https://openalex.org/W2065476635","https://openalex.org/W2066813062","https://openalex.org/W2067912884","https://openalex.org/W2070961462","https://openalex.org/W2071572926","https://openalex.org/W2071634722","https://openalex.org/W2074142320","https://openalex.org/W2075214536","https://openalex.org/W2075274454","https://openalex.org/W2083624955","https://openalex.org/W2084635560","https://openalex.org/W2088049833","https://openalex.org/W2088711760","https://openalex.org/W2095989672","https://openalex.org/W2097374608","https://openalex.org/W2097696373","https://openalex.org/W2099606917","https://openalex.org/W2099940712","https://openalex.org/W2102402541","https://openalex.org/W2102605133","https://openalex.org/W2106471914","https://openalex.org/W2106766627","https://openalex.org/W2107023258","https://openalex.org/W2107793967","https://openalex.org/W2109992539","https://openalex.org/W2110226160","https://openalex.org/W2112020727","https://openalex.org/W2112255529","https://openalex.org/W2114111978","https://openalex.org/W2115703234","https://openalex.org/W2117132237","https://openalex.org/W2117751343","https://openalex.org/W2127911825","https://openalex.org/W2128974588","https://openalex.org/W2130646036","https://openalex.org/W2135424447","https://openalex.org/W2136328870","https://openalex.org/W2138011018","https://openalex.org/W2143425433","https://openalex.org/W2147629985","https://openalex.org/W2152571752","https://openalex.org/W2154880882","https://openalex.org/W2160643963","https://openalex.org/W2161168419","https://openalex.org/W2161969291","https://openalex.org/W2168356304","https://openalex.org/W2171481071","https://openalex.org/W2213271652","https://openalex.org/W2399850298","https://openalex.org/W2498256984","https://openalex.org/W4233450617","https://openalex.org/W4255820964"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W4394861761","https://openalex.org/W1977371217","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W2003805688"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":22},{"year":2021,"cited_by_count":46},{"year":2020,"cited_by_count":45},{"year":2019,"cited_by_count":70},{"year":2018,"cited_by_count":53},{"year":2017,"cited_by_count":44},{"year":2016,"cited_by_count":39},{"year":2015,"cited_by_count":32},{"year":2014,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}
