{"id":"https://openalex.org/W4285599961","doi":"https://doi.org/10.24963/ijcai.2022/89","title":"Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network","display_name":"Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285599961","doi":"https://doi.org/10.24963/ijcai.2022/89"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/89","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/89","pdf_url":"https://www.ijcai.org/proceedings/2022/0089.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0089.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019134968","display_name":"Manoj Acharya","orcid":"https://orcid.org/0000-0003-0223-3556"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manoj Acharya","raw_affiliation_strings":["Rochester Institute of Technology","SRI International","Rochester Institute of Technology, Rochester NY 14623, USA","SRI International, Menlo Park CA 94025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"Rochester Institute of Technology, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"SRI International, Menlo Park CA 94025, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076846018","display_name":"Anirban Roy","orcid":"https://orcid.org/0009-0000-6889-0204"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anirban Roy","raw_affiliation_strings":["SRI International","SRI International, Menlo Park CA 94025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park CA 94025, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048690657","display_name":"Kaushik Koneripalli","orcid":null},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaushik Koneripalli","raw_affiliation_strings":["SRI International","SRI International, Menlo Park CA 94025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park CA 94025, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035902535","display_name":"Susmit Jha","orcid":"https://orcid.org/0000-0001-5983-9095"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Susmit Jha","raw_affiliation_strings":["SRI International","SRI International, Menlo Park CA 94025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park CA 94025, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046979072","display_name":"Christopher Kanan","orcid":"https://orcid.org/0000-0002-6412-995X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Kanan","raw_affiliation_strings":["Rochester Institute of Technology","Rochester Institute of Technology, Rochester NY 14623, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Rochester Institute of Technology, Rochester NY 14623, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028124265","display_name":"Ajay Divakaran","orcid":"https://orcid.org/0000-0003-0371-5346"},"institutions":[{"id":"https://openalex.org/I1298353152","display_name":"SRI International","ror":"https://ror.org/05s570m15","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1298353152"]},{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajay Divakaran","raw_affiliation_strings":["SRI International","SRI International, Menlo Park CA 94025, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SRI International","institution_ids":["https://openalex.org/I1298353152"]},{"raw_affiliation_string":"SRI International, Menlo Park CA 94025, USA","institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5019134968"],"corresponding_institution_ids":["https://openalex.org/I1298353152","https://openalex.org/I155173764","https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":0.8308,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.73951763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"629","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9850000143051147,"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":0.7675292491912842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6659786701202393},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6290456056594849},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6144753098487854},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5304635763168335},{"id":"https://openalex.org/keywords/contextual-design","display_name":"Contextual design","score":0.5046581029891968},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4887220859527588},{"id":"https://openalex.org/keywords/spatial-contextual-awareness","display_name":"Spatial contextual awareness","score":0.48867133259773254},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.4836519956588745},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45326799154281616},{"id":"https://openalex.org/keywords/scene-graph","display_name":"Scene graph","score":0.45142972469329834},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42562437057495117},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38980531692504883},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3060573637485504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1593731939792633},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1364022195339203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675292491912842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6659786701202393},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6290456056594849},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6144753098487854},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5304635763168335},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.5046581029891968},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4887220859527588},{"id":"https://openalex.org/C64754055","wikidata":"https://www.wikidata.org/wiki/Q7574053","display_name":"Spatial contextual awareness","level":2,"score":0.48867133259773254},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.4836519956588745},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45326799154281616},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.45142972469329834},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42562437057495117},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38980531692504883},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3060573637485504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1593731939792633},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1364022195339203},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/89","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/89","pdf_url":"https://www.ijcai.org/proceedings/2022/0089.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/89","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/89","pdf_url":"https://www.ijcai.org/proceedings/2022/0089.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1034401897","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1567450585","display_name":"CAREER: Brain-inspired Methods for Continual Learning of Large-scale Vision and Language Tasks","funder_award_id":"2047556","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1637379582","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G3748439640","display_name":"RI: Small: Lifelong Multimodal Concept Learning","funder_award_id":"1909696","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G459367103","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320332447","funder_display_name":"U.S. Army"},{"id":"https://openalex.org/G5059089297","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320332447","funder_display_name":"U.S. Army"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5913950496","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320306078","funder_display_name":"U.S. Department of Defense"},{"id":"https://openalex.org/G7026372889","display_name":null,"funder_award_id":"W911NF-17-2-0196","funder_id":"https://openalex.org/F4320315784","funder_display_name":"U.S. Army Combat Capabilities Development Command Soldier Center"},{"id":"https://openalex.org/G8498444560","display_name":"CPS: Small: Self-Improving Cyber-Physical Systems","funder_award_id":"1740079","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320315784","display_name":"U.S. Army Combat Capabilities Development Command Soldier Center","ror":"https://ror.org/02rdkx920"},{"id":"https://openalex.org/F4320332447","display_name":"U.S. Army","ror":"https://ror.org/00afsp483"},{"id":"https://openalex.org/F4320337807","display_name":"U.S. Army Combat Capabilities Development Command","ror":null},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285599961.pdf","grobid_xml":"https://content.openalex.org/works/W4285599961.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1511986666","https://openalex.org/W1533374248","https://openalex.org/W1861492603","https://openalex.org/W2050159143","https://openalex.org/W2145315825","https://openalex.org/W2147880316","https://openalex.org/W2194775991","https://openalex.org/W2299115575","https://openalex.org/W2592109610","https://openalex.org/W2767414122","https://openalex.org/W2799002257","https://openalex.org/W2883065040","https://openalex.org/W2883386984","https://openalex.org/W2933610837","https://openalex.org/W2946439115","https://openalex.org/W2964015378","https://openalex.org/W2970085549","https://openalex.org/W2971933740","https://openalex.org/W3035066680","https://openalex.org/W3080690578","https://openalex.org/W4286895358","https://openalex.org/W4287240556","https://openalex.org/W4294558607","https://openalex.org/W4394669746"],"related_works":["https://openalex.org/W2095705906","https://openalex.org/W2975200075","https://openalex.org/W2007544051","https://openalex.org/W2732308154","https://openalex.org/W3211653591","https://openalex.org/W1988485990","https://openalex.org/W2766547489","https://openalex.org/W3177406559","https://openalex.org/W3015973434","https://openalex.org/W2334336442"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,13,26,59],"approach":[4],"for":[5,86,99],"detecting":[6,219,224],"out-of-context":[7,100],"(OOC)":[8],"objects":[9,88,148,175,178,221],"in":[10,72,133,218],"images.":[11,202],"Given":[12],"image":[14],"with":[15,30,39,61],"a":[16,40,108,137,151,191],"set":[17],"of":[18,58,69,120,173],"objects,":[19,65],"our":[20,187],"goal":[21],"is":[22,28],"to":[23,63,82,95,114,124,140,154,169,185,199],"determine":[24,83],"if":[25],"object":[27,38,60,71,84,97,126,142,197],"inconsistent":[29,90],"the":[31,36,55,67,70,73,130,134,146,160,166,171,200],"contextual":[32,49,78,110,131,157,167,181],"relations":[33,50],"and":[34,66,89,149,176,222,228],"detect":[35,115],"OOC":[37,116,196,220],"bounding":[41],"box.":[42],"In":[43,183],"this":[44,104],"work,":[45],"we":[46,106,189],"consider":[47],"common":[48],"such":[51],"as":[52],"co-occurrence":[53],"relations,":[54],"relative":[56],"size":[57],"respect":[62],"other":[64],"position":[68],"scene.":[74],"We":[75,203],"posit":[76],"that":[77,179,213],"cues":[79,92,132,158,168],"are":[80,93],"useful":[81],"labels":[85,98,127],"in-context":[87,174,225],"context":[91,152],"detrimental":[94],"determining":[96],"objects.":[101,117,162,226],"To":[102],"realize":[103],"hypothesis,":[105],"propose":[107],"graph":[109,139,153],"reasoning":[111],"network":[112],"(GCRN)":[113],"GCRN":[118,163,214],"consists":[119],"two":[121],"separate":[122],"graphs":[123],"predict":[125],"based":[128,144],"on":[129,145,206],"image:":[135],"1)":[136],"representation":[138],"learn":[141],"features":[143],"neighboring":[147,161],"2)":[150],"explicitly":[155,164],"capture":[156],"from":[159],"captures":[165],"improve":[170],"detection":[172],"identify":[177],"violate":[180],"relations.":[182],"order":[184],"evaluate":[186,205],"approach,":[188],"create":[190],"large-scale":[192],"dataset":[193],"by":[194],"adding":[195],"instances":[198],"COCO":[201],"also":[204],"recent":[207],"OCD":[208],"benchmark.":[209],"Our":[210],"results":[211],"show":[212],"outperforms":[215],"competitive":[216],"baselines":[217],"correctly":[223],"Code":[227],"data:":[229],"https://nusci.csl.sri.com/project/trinity-ooc":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-07-16T00:00:00"}