{"id":"https://openalex.org/W7137871735","doi":"https://doi.org/10.1609/aaai.v40i16.38354","title":"Wavefront-Constrained Passive Obscured Object Detection","display_name":"Wavefront-Constrained Passive Obscured Object Detection","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137871735","doi":"https://doi.org/10.1609/aaai.v40i16.38354"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i16.38354","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38354","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38354/42316","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38354/42316","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhiwen Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiwen Zheng","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yiwei Ouyang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Ouyang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhao Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I32394136","display_name":"Northumbria University","ror":"https://ror.org/049e6bc10","country_code":"GB","type":"education","lineage":["https://openalex.org/I32394136"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhao Huang","raw_affiliation_strings":["Department of Computer and Information Science, Northumbria University, NE1 8ST Newcastle upon Tyne, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Northumbria University, NE1 8ST Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I32394136"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaoshuai Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuai Zhang","raw_affiliation_strings":["Faculty of Information Science and Engineering, Ocean University of China, 266404, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Engineering, Ocean University of China, 266404, Qingdao, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huiyu Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I153648349","display_name":"University of Leicester","ror":"https://ror.org/04h699437","country_code":"GB","type":"education","lineage":["https://openalex.org/I153648349"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huiyu Zhou","raw_affiliation_strings":["School of Informatics, University of Leicester, Leicester LE1 7RH, UK"],"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Leicester, Leicester LE1 7RH, UK","institution_ids":["https://openalex.org/I153648349"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenwen Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenwen Tang","raw_affiliation_strings":["Johns Hopkins University, Baltimore, MD, 21218, USA"],"affiliations":[{"raw_affiliation_string":"Johns Hopkins University, Baltimore, MD, 21218, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shaowei Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaowei Jiang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xingru Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingru Huang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China\nWeidian Corporation, Beijing, 100015, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":10,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"16","first_page":"13494","last_page":"13502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.8569999933242798,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.8569999933242798,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.039000000804662704,"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/T10851","display_name":"Optical Wireless Communication Technologies","score":0.012299999594688416,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/interpretability","display_name":"Interpretability","score":0.805899977684021},{"id":"https://openalex.org/keywords/wavefront","display_name":"Wavefront","score":0.6459000110626221},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5873000025749207},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4138999879360199},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.3716000020503998},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.36250001192092896},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.35569998621940613},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.33390000462532043}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.805899977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6930000185966492},{"id":"https://openalex.org/C165699331","wikidata":"https://www.wikidata.org/wiki/Q461533","display_name":"Wavefront","level":2,"score":0.6459000110626221},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5873000025749207},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5812000036239624},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5016000270843506},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4138999879360199},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.3716000020503998},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.36250001192092896},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.33390000462532043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C205049153","wikidata":"https://www.wikidata.org/wiki/Q2698605","display_name":"Polarization (electrochemistry)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.31679999828338623},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.271699994802475},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i16.38354","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38354","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38354/42316","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i16.38354","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i16.38354","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38354/42316","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7137871735.pdf","grobid_xml":"https://content.openalex.org/works/W7137871735.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurately":[0],"localizing":[1],"and":[2,22,63,86,143,155,179],"segmenting":[3],"obscured":[4,91],"objects":[5],"from":[6],"faint":[7],"light":[8,45],"patterns":[9],"beyond":[10],"the":[11,40,61,66,88,96,123,152],"field":[12],"of":[13,43,65,90,125],"view":[14],"is":[15,133],"highly":[16],"challenging":[17],"due":[18],"to":[19,56,82,102,108,120,135],"multiple":[20],"scattering":[21],"medium-induced":[23],"perturbations.":[24,126],"Most":[25],"existing":[26],"methods,":[27],"based":[28],"on":[29,164],"real-valued":[30],"modeling":[31],"or":[32],"local":[33],"convolutional":[34],"operations,":[35],"are":[36],"inadequate":[37],"for":[38],"capturing":[39],"underlying":[41],"physics":[42],"coherent":[44,111],"propagation.":[46],"Moreover,":[47],"under":[48,157],"low":[49],"signal-to-noise":[50],"conditions,":[51],"these":[52,70],"methods":[53,175],"often":[54],"converge":[55],"non-physical":[57],"solutions,":[58],"severely":[59],"compromising":[60],"stability":[62],"reliability":[64],"observation.":[67],"To":[68],"address":[69],"challenges,":[71],"we":[72],"propose":[73],"a":[74,116,128],"novel":[75],"physics-driven":[76],"Wavefront":[77,98],"Propagating":[78],"Compensation":[79,131],"Network":[80],"(WavePCNet)":[81],"simulate":[83],"wavefront":[84],"propagation":[85,112],"enhance":[87],"perception":[89],"objects.":[92],"This":[93],"WavePCNet":[94,171],"integrates":[95],"Tri-Phase":[97],"Complex-Propagation":[99],"Reprojection":[100],"(TriWCP)":[101],"incorporate":[103],"complex":[104,158],"amplitude":[105],"transfer":[106],"operators":[107],"precisely":[109],"constrain":[110],"behavior,":[113],"along":[114],"with":[115,139],"momentum":[117],"memory":[118],"mechanism":[119],"effectively":[121],"suppress":[122],"accumulation":[124],"Additionally,":[127],"High-frequency":[129],"Cross-layer":[130],"Enhancement":[132],"introduced":[134],"construct":[136],"frequency-selective":[137],"pathways":[138],"multi-scale":[140],"receptive":[141],"fields":[142],"dynamically":[144],"models":[145],"structural":[146],"consistency":[147],"across":[148,176],"layers,":[149],"further":[150],"boosting":[151],"model\u2019s":[153],"robustness":[154],"interpretability":[156],"environmental":[159],"conditions.":[160],"Extensive":[161],"experiments":[162],"conducted":[163],"four":[165],"physically":[166],"collected":[167],"datasets":[168],"demonstrate":[169],"that":[170],"consistently":[172],"outperforms":[173],"state-of-the-art":[174],"both":[177],"accuracy":[178],"robustness.":[180]},"counts_by_year":[],"updated_date":"2026-03-20T20:47:17.329874","created_date":"2025-12-10T00:00:00"}