{"id":"https://openalex.org/W2394718694","doi":null,"title":"A Computational Framework for Attentional 3D Object Detection","display_name":"A Computational Framework for Attentional 3D Object Detection","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2394718694","mag":"2394718694"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9s6251xc","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9s6251xc","pdf_url":"https://escholarship.org/uc/item/9s6251xc","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 35, iss 35","raw_type":"article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/uc/item/9s6251xc","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052523243","display_name":"Germ\u00e1n Mart\u00edn Garc\u00eda","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Germ\u00e1n Mart\u00edn Garc\u00eda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038082633","display_name":"Simone Frintrop","orcid":"https://orcid.org/0000-0002-9475-3593","observed_orcids":["https://orcid.org/0000-0002-9475-3593"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simone Frintrop","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9475-3593","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8803,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91309199,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"35","issue":"35","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.79830002784729,"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":0.79830002784729,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.11599999666213989,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.024700000882148743,"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/3d-object-detection","display_name":"3D object detection","score":0.9620000123977661},{"id":"https://openalex.org/keywords/visual-attention","display_name":"visual attention","score":0.9279999732971191},{"id":"https://openalex.org/keywords/proto-objects","display_name":"proto-objects","score":0.8149999976158142},{"id":"https://openalex.org/keywords/iterative-segmentation","display_name":"iterative segmentation","score":0.8230000138282776},{"id":"https://openalex.org/keywords/3d-scene-modeling","display_name":"3D scene modeling","score":0.8849999904632568},{"id":"https://openalex.org/keywords/depth-camera","display_name":"depth camera","score":0.8859999775886536},{"id":"https://openalex.org/keywords/3d-object-models","display_name":"3D object models","score":0.800000011920929},{"id":"https://openalex.org/keywords/inhibition-of-return","display_name":"inhibition of return","score":0.9070000052452087},{"id":"https://openalex.org/keywords/attention-switching","display_name":"attentional shift","score":0.7490000128746033},{"id":"https://openalex.org/keywords/cluttered-scenes","display_name":"cluttered scenes","score":0.8140000104904175},{"id":"https://openalex.org/keywords/unknown-object-detection","display_name":"unknown object detection","score":0.6899999976158142}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.772962749004364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7613588571548462},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7283531427383423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6339389085769653},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6337288618087769},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5283487439155579},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5010702610015869},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.45998093485832214},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4540390372276306},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34180840849876404}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:escholarship.org/ark:/13030/qt9s6251xc","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9s6251xc","pdf_url":"https://escholarship.org/uc/item/9s6251xc","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 35, iss 35","raw_type":"article"},{"id":"pmh:qt9s6251xc","doi":null,"is_oa":true,"landing_page_url":"http://www.escholarship.org/uc/item/9s6251xc","pdf_url":"http://www.escholarship.org/uc/item/9s6251xc","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Garcia , German Martin; &amp; Frintrop, Simone. (2013). A Computational Framework for Attentional 3D Object Detection. Proceedings of the Cognitive Science Society, 35(35). Retrieved from: http://www.escholarship.org/uc/item/9s6251xc","raw_type":"article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.420.54","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.54","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.iai.uni-bonn.de/~frintrop/paper/martingarcia-frintrop-cogsci2013.pdf","raw_type":"text"},{"id":"mag:2394718694","doi":null,"is_oa":false,"landing_page_url":"https://escholarship.org/content/qt9s6251xc/qt9s6251xc.pdf?t=os601n","pdf_url":null,"source":{"id":"https://openalex.org/S78735424","display_name":"Cognitive Science","issn_l":"0364-0213","issn":["0364-0213","1551-6709"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","dongbi-c","erih-plus","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Cognitive Science","raw_type":null}],"best_oa_location":{"id":"pmh:oai:escholarship.org/ark:/13030/qt9s6251xc","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/9s6251xc","pdf_url":"https://escholarship.org/uc/item/9s6251xc","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Annual Meeting of the Cognitive Science Society, vol 35, iss 35","raw_type":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2394718694.pdf","grobid_xml":"https://content.openalex.org/works/W2394718694.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1987648924","https://openalex.org/W2000674655","https://openalex.org/W2020589483","https://openalex.org/W2030031014","https://openalex.org/W2046863527","https://openalex.org/W2066408979","https://openalex.org/W2068419217","https://openalex.org/W2080474773","https://openalex.org/W2093353037","https://openalex.org/W2122710056","https://openalex.org/W2124351162","https://openalex.org/W2128272608","https://openalex.org/W2142850760","https://openalex.org/W2149095485","https://openalex.org/W2151823074","https://openalex.org/W2161469100","https://openalex.org/W2169461290","https://openalex.org/W2280306935"],"related_works":["https://openalex.org/W2087819451","https://openalex.org/W3119114344","https://openalex.org/W1974420357","https://openalex.org/W2165411197","https://openalex.org/W569269196","https://openalex.org/W1519547225","https://openalex.org/W7097974013","https://openalex.org/W7203910077","https://openalex.org/W3154172778","https://openalex.org/W2554344625"],"abstract_inverted_index":{"We":[0,87],"present":[1],"a":[2,12,19,37,46],"computational":[3],"framework":[4],"for":[5],"the":[6,34,55,77,85,90],"detection":[7],"of":[8,45,72],"unknown":[9],"objects":[10,103],"in":[11,59,94],"3D":[13,38,56,60],"environment.":[14],"It":[15],"is":[16,41],"based":[17],"on":[18],"visual":[20],"attention":[21,78],"system":[22,91],"that":[23,89],"detects":[24],"proto-objects":[25,51],"which":[26,63],"are":[27,52,64],"improved":[28],"by":[29],"iterative":[30],"segmentation":[31],"steps.":[32],"At":[33],"same":[35],"time":[36],"scene":[39],"model":[40],"built":[42],"from":[43,79],"measurements":[44],"depth":[47],"camera.":[48],"The":[49],"detected":[50],"projected":[53],"into":[54],"scene,":[57],"resulting":[58],"object":[61,81],"models":[62],"incrementally":[65],"updated.":[66],"Finally,":[67],"environment-":[68],"and":[69,82,98,101],"object-based":[70],"inhibition":[71],"return":[73],"enables":[74],"to":[75,84],"withdraw":[76],"one":[80],"switch":[83],"next.":[86],"show":[88],"works":[92],"well":[93],"cluttered":[95],"natural":[96],"scenes":[97],"can":[99],"find":[100],"segment":[102],"without":[104],"prior":[105],"knowledge.":[106]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-08-31T07:19:18.363097","created_date":"2016-06-24T00:00:00"}
