{"id":"https://openalex.org/W2169950930","doi":"https://doi.org/10.1109/icra.2015.7139960","title":"Visual chunking: A list prediction framework for region-based object detection","display_name":"Visual chunking: A list prediction framework for region-based object detection","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W2169950930","doi":"https://doi.org/10.1109/icra.2015.7139960","mag":"2169950930"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2015.7139960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"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/A5077198404","display_name":"Nicholas Rhinehart","orcid":"https://orcid.org/0000-0003-4242-1236"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Rhinehart","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074556728","display_name":"Jiaji Zhou","orcid":"https://orcid.org/0000-0002-6854-7702"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaji Zhou","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075246991","display_name":"Martial Hebert","orcid":"https://orcid.org/0000-0003-4566-5930"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martial Hebert","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112411386","display_name":"J. Andrew Bagnell","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Andrew Bagnell","raw_affiliation_strings":["The Robotics Institute, Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Robotics Institute, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.5407,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74728695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5448","last_page":"5454"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.995199978351593,"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/computer-science","display_name":"Computer science","score":0.7718492746353149},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6575968265533447},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6334505677223206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054357290267944},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5644656419754028},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5230194926261902},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5230149626731873},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.5038668513298035},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4912945628166199},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.46003302931785583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44494229555130005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43233510851860046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41671645641326904},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35500043630599976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7718492746353149},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6575968265533447},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6334505677223206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054357290267944},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5644656419754028},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5230194926261902},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5230149626731873},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.5038668513298035},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4912945628166199},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.46003302931785583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44494229555130005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43233510851860046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41671645641326904},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35500043630599976},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2015.7139960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2015.7139960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W135305794","https://openalex.org/W1483240902","https://openalex.org/W1516887802","https://openalex.org/W1542723449","https://openalex.org/W1555385401","https://openalex.org/W1581592866","https://openalex.org/W1590899626","https://openalex.org/W1610707153","https://openalex.org/W1680189815","https://openalex.org/W1722931978","https://openalex.org/W1931877416","https://openalex.org/W1964005749","https://openalex.org/W1992234703","https://openalex.org/W1994259434","https://openalex.org/W1995444699","https://openalex.org/W1999478155","https://openalex.org/W2031489346","https://openalex.org/W2046382188","https://openalex.org/W2056860348","https://openalex.org/W2056933870","https://openalex.org/W2066624635","https://openalex.org/W2083542343","https://openalex.org/W2088049833","https://openalex.org/W2088432363","https://openalex.org/W2103897297","https://openalex.org/W2109868644","https://openalex.org/W2112357820","https://openalex.org/W2115150266","https://openalex.org/W2116445618","https://openalex.org/W2128715914","https://openalex.org/W2136467819","https://openalex.org/W2137881638","https://openalex.org/W2140360143","https://openalex.org/W2154791445","https://openalex.org/W2155494658","https://openalex.org/W2158349948","https://openalex.org/W2161236525","https://openalex.org/W2161969291","https://openalex.org/W2164877691","https://openalex.org/W2168356304","https://openalex.org/W2296770417","https://openalex.org/W2533218643","https://openalex.org/W2536208356","https://openalex.org/W2538008885","https://openalex.org/W2757107770","https://openalex.org/W2937970997","https://openalex.org/W2952793010","https://openalex.org/W2962957031","https://openalex.org/W6628879895","https://openalex.org/W6630825005","https://openalex.org/W6632547051","https://openalex.org/W6633201533","https://openalex.org/W6635091746","https://openalex.org/W6635212758","https://openalex.org/W6636212864","https://openalex.org/W6640174482","https://openalex.org/W6664576054","https://openalex.org/W6675696854","https://openalex.org/W6677695560","https://openalex.org/W6680357304","https://openalex.org/W6680707995","https://openalex.org/W6682519532","https://openalex.org/W6683346193","https://openalex.org/W6683978607"],"related_works":["https://openalex.org/W2384729545","https://openalex.org/W2198395236","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600","https://openalex.org/W4323323165","https://openalex.org/W4287991909","https://openalex.org/W4386066345","https://openalex.org/W2745033168","https://openalex.org/W4390721878"],"abstract_inverted_index":{"We":[0,42,66,88,141],"consider":[1],"detecting":[2],"objects":[3],"in":[4,34,101,104],"an":[5,35,44,68],"image":[6,36],"by":[7],"iteratively":[8],"selecting":[9],"from":[10,81],"a":[11,52,58,62,76,91,97],"set":[12,84],"of":[13,30,51,54,79,85,107],"arbitrarily":[14],"shaped":[15],"candidate":[16,83,98],"regions.":[17],"Our":[18],"generic":[19],"approach,":[20],"which":[21],"we":[22,132],"term":[23],"visual":[24],"chunking,":[25],"reasons":[26],"about":[27],"the":[28,49,105],"locations":[29],"multiple":[31],"object":[32,40],"instances":[33],"while":[37],"expressively":[38],"describing":[39],"boundaries.":[41],"design":[43],"optimization":[45],"criterion":[46],"for":[47,74],"measuring":[48],"performance":[50,73],"list":[53,78],"such":[55],"detections":[56,80],"as":[57],"natural":[59],"extension":[60],"to":[61,95,118,129,136],"common":[63],"per-instance":[64],"metric.":[65],"present":[67],"efficient":[69],"algorithm":[70,94],"with":[71],"provable":[72],"building":[75],"high-quality":[77],"any":[82],"region-based":[86],"proposals.":[87],"also":[89],"develop":[90,133],"simple":[92],"class-specific":[93],"generate":[96],"region":[99,113],"instance":[100],"near-linear":[102],"time":[103,126],"number":[106],"low-level":[108],"superpixels":[109],"that":[110,143],"outperforms":[111,147],"other":[112],"generating":[114],"methods.":[115],"In":[116],"order":[117],"make":[119],"predictions":[120],"on":[121,150],"novel":[122],"images":[123],"at":[124],"testing":[125],"without":[127],"access":[128],"ground":[130],"truth,":[131],"learning":[134],"approaches":[135],"emulate":[137],"these":[138],"algorithms'":[139],"behaviors.":[140],"demonstrate":[142],"our":[144],"new":[145],"approach":[146],"sophisticated":[148],"baselines":[149],"benchmark":[151],"datasets.":[152]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}