{"id":"https://openalex.org/W4225467065","doi":"https://doi.org/10.1109/tits.2022.3165619","title":"Adaptive Short-Temporal Induced Aware Fusion Network for Predicting Attention Regions Like a Driver","display_name":"Adaptive Short-Temporal Induced Aware Fusion Network for Predicting Attention Regions Like a Driver","publication_year":2022,"publication_date":"2022-04-14","ids":{"openalex":"https://openalex.org/W4225467065","doi":"https://doi.org/10.1109/tits.2022.3165619"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3165619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3165619","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","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/A5003571331","display_name":"Qiang Li","orcid":"https://orcid.org/0000-0002-7544-7785"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Li","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-7544-7785","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065058741","display_name":"Chunsheng Liu","orcid":"https://orcid.org/0000-0001-5516-2486"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5516-2486","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070332088","display_name":"Faliang Chang","orcid":"https://orcid.org/0000-0003-1276-2267"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faliang Chang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1276-2267","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415971","display_name":"Shuang Li","orcid":"https://orcid.org/0009-0008-9759-0751"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["School of Information and Automation, Qilu University of Technology, Jinan, China","School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4215-2195","affiliations":[{"raw_affiliation_string":"School of Information and Automation, Qilu University of Technology, Jinan, China","institution_ids":["https://openalex.org/I152269853"]},{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078120522","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0002-2248-7767"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0002-2248-7767","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016678826","display_name":"Zehao Liu","orcid":"https://orcid.org/0000-0003-4618-1321"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehao Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4618-1321","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003571331"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":2.7435,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.91578486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"18695","last_page":"18706"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9957000017166138,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5498561263084412},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4995746612548828},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.436673641204834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3720579147338867}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5498561263084412},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4995746612548828},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.436673641204834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3720579147338867},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3165619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3165619","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5535474515","display_name":null,"funder_award_id":"62176138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8239702273","display_name":null,"funder_award_id":"62176136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1903029394","https://openalex.org/W1959094031","https://openalex.org/W2078903912","https://openalex.org/W2128272608","https://openalex.org/W2135957164","https://openalex.org/W2149095485","https://openalex.org/W2152233525","https://openalex.org/W2212216676","https://openalex.org/W2528043655","https://openalex.org/W2541335858","https://openalex.org/W2560023338","https://openalex.org/W2560474170","https://openalex.org/W2630837129","https://openalex.org/W2887806157","https://openalex.org/W2902418641","https://openalex.org/W2947918549","https://openalex.org/W2955060956","https://openalex.org/W2963513865","https://openalex.org/W2963604034","https://openalex.org/W2963828885","https://openalex.org/W2967549667","https://openalex.org/W2969316698","https://openalex.org/W2980565715","https://openalex.org/W2996361803","https://openalex.org/W2997423597","https://openalex.org/W2998564420","https://openalex.org/W3022565501","https://openalex.org/W3035290198","https://openalex.org/W3035666869","https://openalex.org/W3038008805","https://openalex.org/W3040304705","https://openalex.org/W3041552048","https://openalex.org/W3070733705","https://openalex.org/W3089943722","https://openalex.org/W3095205055","https://openalex.org/W3100100339","https://openalex.org/W3103243383","https://openalex.org/W3110440461","https://openalex.org/W3118519864","https://openalex.org/W3127334354","https://openalex.org/W3203151276","https://openalex.org/W3207294606","https://openalex.org/W3210311771","https://openalex.org/W3211545390","https://openalex.org/W4205453809","https://openalex.org/W4285557518","https://openalex.org/W6696085341","https://openalex.org/W6739696289"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Driver":[0,146],"attention":[1,22,61,176,192],"prediction":[2],"can":[3,189],"solve":[4],"the":[5,10,91,102,110,155,170,174,180,186],"problem":[6],"of":[7,113],"\u2018Where":[8],"should":[9],"driver":[11,60],"pay":[12],"attention?\u2019,":[13],"Most":[14],"previous":[15],"methods":[16,203],"are":[17,37],"designed":[18,152],"to":[19,39,107,135,153,168,178],"predict":[20,154,190],"regional":[21,156,175],"with":[23,94],"redundant":[24],"regions.":[25],"Furthermore,":[26],"popular":[27],"spatial-temporal":[28],"feature":[29],"extraction":[30],"networks":[31],"such":[32],"as":[33,90],"ConvLSTM":[34],"and":[35,58,81,158,173,195,199,207],"3D-CNN":[36],"difficult":[38],"achieve":[40],"real-time.":[41],"To":[42],"overcome":[43],"these":[44],"difficulties,":[45],"we":[46,70,124],"propose":[47,125],"an":[48,72,82,95,159],"Adaptive":[49],"Short-temporal":[50,130],"Induced":[51],"Aware":[52,86],"Fusion":[53,87],"Network":[54],"(ASIAF-Net)":[55],"for":[56],"region-level":[57],"object-level":[59,181],"prediction.":[62],"<xref":[63],"ref-type=\"fn\"":[64],"rid=\"fn1\"":[65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[66,74,84,97,128,144,161],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</xref>":[67],"In":[68,140],"ASIAF-Net,":[69],"design":[71],"<italic":[73,83,96,127,143,160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Attention":[75],"Related":[76],"Spatial":[77],"Feature":[78,131],"Encoder</i>":[79],"(AF-Encoder)":[80],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Induced":[85],"Network</i>":[88],"(IAF-Net)":[89],"main":[92],"network;":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Association":[98],"Analysis":[99],"Cell</i>":[100],"(AAC),":[101],"AF-Encoder":[103],"makes":[104],"it":[105,209],"possible":[106],"effectively":[108],"capture":[109],"relationship":[111],"information":[112],"different":[114],"objects.":[115],"Considering":[116],"most":[117],"vital":[118],"visual":[119],"cues":[120],"from":[121],"moving":[122],"objects,":[123],"a":[126,142],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Self-adaptive":[129],"Extraction":[132],"Module</i>":[133],"(SSFE-Module)":[134],"obtain":[136],"inter-frame":[137],"motion":[138],"features.":[139],"IAF-Net,":[141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Multi-scale":[145],"Attention":[147],"Region":[148],"Prediction":[149],"Branch</i>":[150,165],"is":[151,166],"attention,":[157],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Object":[162],"Saliency":[163],"Estimation":[164],"proposed":[167,187],"fuse":[169],"perception":[171],"results":[172],"map":[177],"estimate":[179],"attention.":[182],"Experiments":[183],"show":[184],"that":[185,208],"ASIAF-Net":[188],"driver\u2019s":[191],"on":[193,204,212],"regions":[194],"objects":[196],"more":[197],"robustly":[198],"precisely":[200],"than":[201],"state-of-the-art":[202],"three":[205],"datasets,":[206],"achieves":[210],"real-time":[211],"our":[213],"ADAS":[214],"platform.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
