{"id":"https://openalex.org/W4401879608","doi":"https://doi.org/10.1109/tpami.2024.3449994","title":"Gaseous Object Detection","display_name":"Gaseous Object Detection","publication_year":2024,"publication_date":"2024-08-26","ids":{"openalex":"https://openalex.org/W4401879608","doi":"https://doi.org/10.1109/tpami.2024.3449994","pmid":"https://pubmed.ncbi.nlm.nih.gov/39186417"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3449994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3449994","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5052879490","display_name":"Kailai Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kailai Zhou","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-5449-3929","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115687700","display_name":"Yibo Wang","orcid":"https://orcid.org/0009-0009-8934-9754"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibo Wang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0009-8934-9754","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114124681","display_name":"Tao Lv","orcid":"https://orcid.org/0009-0006-8269-7623"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Lv","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-8269-7623","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000201167","display_name":"Qiu Shen","orcid":"https://orcid.org/0000-0002-3057-0608"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiu Shen","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3057-0608","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058572381","display_name":"Xun Cao","orcid":"https://orcid.org/0000-0003-3094-4371"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Cao","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3094-4371","affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.6249,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6067246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"46","issue":"12","first_page":"10715","last_page":"10731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.8884999752044678,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.8884999752044678,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6454010605812073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6130822896957397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5619011521339417},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5517386198043823},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39198243618011475}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454010605812073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6130822896957397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5619011521339417},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5517386198043823},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39198243618011475}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2024.3449994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3449994","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:39186417","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39186417","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3091400125","display_name":null,"funder_award_id":"62025108","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":121,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1522734439","https://openalex.org/W1686810756","https://openalex.org/W1744759976","https://openalex.org/W1861492603","https://openalex.org/W1867429401","https://openalex.org/W1971301114","https://openalex.org/W1983195694","https://openalex.org/W1992960971","https://openalex.org/W1993260141","https://openalex.org/W1999478155","https://openalex.org/W2022262840","https://openalex.org/W2034014085","https://openalex.org/W2102625004","https://openalex.org/W2120694811","https://openalex.org/W2128715914","https://openalex.org/W2136831404","https://openalex.org/W2141039137","https://openalex.org/W2145023731","https://openalex.org/W2146103513","https://openalex.org/W2153286071","https://openalex.org/W2161969291","https://openalex.org/W2194775991","https://openalex.org/W2273238302","https://openalex.org/W2307770531","https://openalex.org/W2336589871","https://openalex.org/W2507009361","https://openalex.org/W2552900565","https://openalex.org/W2611596598","https://openalex.org/W2613017275","https://openalex.org/W2625366777","https://openalex.org/W2790408291","https://openalex.org/W2790495464","https://openalex.org/W2793130599","https://openalex.org/W2793272303","https://openalex.org/W2883275382","https://openalex.org/W2883429621","https://openalex.org/W2898044248","https://openalex.org/W2928165649","https://openalex.org/W2962855257","https://openalex.org/W2962934715","https://openalex.org/W2963150697","https://openalex.org/W2963155035","https://openalex.org/W2963323244","https://openalex.org/W2963351448","https://openalex.org/W2963524571","https://openalex.org/W2963563276","https://openalex.org/W2963585656","https://openalex.org/W2963653352","https://openalex.org/W2963820951","https://openalex.org/W2964086649","https://openalex.org/W2964241181","https://openalex.org/W2964286567","https://openalex.org/W2969727121","https://openalex.org/W2972871794","https://openalex.org/W2982770724","https://openalex.org/W2989728968","https://openalex.org/W2990152177","https://openalex.org/W2990503944","https://openalex.org/W2990578161","https://openalex.org/W2994810768","https://openalex.org/W2996937600","https://openalex.org/W3005533248","https://openalex.org/W3010594275","https://openalex.org/W3012573144","https://openalex.org/W3016370793","https://openalex.org/W3034427487","https://openalex.org/W3035051775","https://openalex.org/W3035396860","https://openalex.org/W3087951217","https://openalex.org/W3096609285","https://openalex.org/W3096824106","https://openalex.org/W3096833468","https://openalex.org/W3100094580","https://openalex.org/W3103358580","https://openalex.org/W3108226879","https://openalex.org/W3108460979","https://openalex.org/W3109173645","https://openalex.org/W3113929572","https://openalex.org/W3116271762","https://openalex.org/W3118341329","https://openalex.org/W3122239467","https://openalex.org/W3127131334","https://openalex.org/W3133806306","https://openalex.org/W3134900589","https://openalex.org/W3172990466","https://openalex.org/W3173407577","https://openalex.org/W3174156594","https://openalex.org/W3175528717","https://openalex.org/W3185425162","https://openalex.org/W3204116406","https://openalex.org/W3210682917","https://openalex.org/W3211546425","https://openalex.org/W4214627427","https://openalex.org/W4221146106","https://openalex.org/W4246399668","https://openalex.org/W4283800865","https://openalex.org/W4288325606","https://openalex.org/W4293437100","https://openalex.org/W4297821406","https://openalex.org/W4312391632","https://openalex.org/W4312509322","https://openalex.org/W4312545381","https://openalex.org/W4312574418","https://openalex.org/W4312943501","https://openalex.org/W4320002812","https://openalex.org/W4383113375","https://openalex.org/W4383218913","https://openalex.org/W4386071577","https://openalex.org/W4386076295","https://openalex.org/W4386076325","https://openalex.org/W6637373629","https://openalex.org/W6695799263","https://openalex.org/W6714138976","https://openalex.org/W6760424586","https://openalex.org/W6764322716","https://openalex.org/W6770390784","https://openalex.org/W6784094891","https://openalex.org/W6803628556","https://openalex.org/W6809665764","https://openalex.org/W6843154862"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Object":[0,50],"detection,":[1],"a":[2,44,103,131,175],"fundamental":[3],"and":[4,34,85,136,157],"challenging":[5,99,195],"problem":[6],"in":[7,160],"computer":[8],"vision,":[9],"has":[10],"experienced":[11],"rapid":[12],"development":[13],"due":[14],"to":[15,24,56,69,153,187],"the":[16,59,73,95,141,145,170],"effectiveness":[17],"of":[18,90,118,134],"deep":[19],"learning.":[20],"The":[21],"current":[22],"objects":[23],"be":[25,64],"detected":[26],"are":[27],"mostly":[28],"rigid":[29],"solid":[30,67],"substances":[31,68],"with":[32,115],"apparent":[33],"distinct":[35,91],"visual":[36,78],"characteristics.":[37],"In":[38],"this":[39,98,127,192],"paper,":[40],"we":[41,101],"endeavor":[42],"on":[43,97,126],"scarcely":[45],"explored":[46],"task":[47],"named":[48],"Gaseous":[49],"Detection":[51],"(GOD),":[52],"which":[53],"is":[54,123,151],"undertaken":[55],"explore":[57],"whether":[58],"object":[60,182],"detection":[61],"techniques":[62],"can":[63],"extended":[65],"from":[66,140],"gaseous":[70,181],"substances.":[71],"Nevertheless,":[72],"gas":[74],"exhibits":[75],"significantly":[76],"different":[77],"characteristics:":[79],"1)":[80],"saliency":[81],"deficiency,":[82],"2)":[83],"arbitrary":[84],"ever-changing":[86,158],"shapes,":[87],"3)":[88],"lack":[89],"boundaries.":[92],"To":[93],"facilitate":[94],"study":[96],"task,":[100],"construct":[102],"GOD-Video":[104],"dataset":[105],"comprising":[106],"600":[107],"videos":[108],"(141,017":[109],"frames)":[110],"that":[111],"cover":[112],"various":[113],"attributes":[114],"multiple":[116],"types":[117],"gases.":[119],"A":[120],"comprehensive":[121],"benchmark":[122],"established":[124],"based":[125],"dataset,":[128],"allowing":[129],"for":[130,180],"rigorous":[132],"evaluation":[133],"frame-level":[135],"video-level":[137],"detectors.":[138],"Deduced":[139],"Gaussian":[142],"dispersion":[143],"model,":[144],"physics-inspired":[146],"Voxel":[147],"Shift":[148],"Field":[149],"(VSF)":[150],"designed":[152],"model":[154],"geometric":[155],"irregularities":[156],"shapes":[159],"potential":[161],"3D":[162],"space.":[163],"By":[164],"integrating":[165],"VSF":[166,171],"into":[167,191],"Faster":[168],"RCNN,":[169],"RCNN":[172],"serves":[173],"as":[174],"simple":[176],"but":[177],"strong":[178],"baseline":[179],"detection.":[183],"Our":[184],"work":[185],"aims":[186],"attract":[188],"further":[189],"research":[190],"valuable":[193],"albeit":[194],"area.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}