{"id":"https://openalex.org/W4402980009","doi":"https://doi.org/10.1109/icme57554.2024.10687467","title":"Invisible Pedestrians: Synthesizing Adversarial Clothing Textures To Evade Industrial Camera-Based 3D Detection","display_name":"Invisible Pedestrians: Synthesizing Adversarial Clothing Textures To Evade Industrial Camera-Based 3D Detection","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4402980009","doi":"https://doi.org/10.1109/icme57554.2024.10687467"},"language":"en","primary_location":{"id":"doi:10.1109/icme57554.2024.10687467","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5032553368","display_name":"Xinlong Ding","orcid":"https://orcid.org/0000-0003-4853-5832"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinlong Ding","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647868","display_name":"Hongwei Yu","orcid":"https://orcid.org/0009-0009-8292-8964"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongwei Yu","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106823095","display_name":"Jiansheng Chen","orcid":"https://orcid.org/0000-0002-1264-7480"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiansheng Chen","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340098","display_name":"Jinlong Wang","orcid":"https://orcid.org/0000-0001-9739-4525"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Wang","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111346922","display_name":"Jintai Du","orcid":null},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintai Du","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114461960","display_name":"Huimin Ma","orcid":"https://orcid.org/0009-0005-9815-6488"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Ma","raw_affiliation_strings":["University of Science and Technology Beijing,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology Beijing,Beijing,China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032553368"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23429119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.916700005531311,"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/clothing","display_name":"Clothing","score":0.7349298000335693},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6721680164337158},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5997108817100525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5784609317779541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5587345361709595},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.5550376772880554},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4475671052932739},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3674156665802002},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17255112528800964},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.11270952224731445},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10818955302238464}],"concepts":[{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.7349298000335693},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6721680164337158},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5997108817100525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5784609317779541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5587345361709595},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.5550376772880554},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4475671052932739},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3674156665802002},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17255112528800964},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.11270952224731445},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10818955302238464},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme57554.2024.10687467","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icme57554.2024.10687467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2607219512","https://openalex.org/W3035172746","https://openalex.org/W3035254347","https://openalex.org/W3156877806","https://openalex.org/W3211707810","https://openalex.org/W4221139075","https://openalex.org/W4313177625","https://openalex.org/W4313180120","https://openalex.org/W4386076505","https://openalex.org/W4386083027","https://openalex.org/W4387968049","https://openalex.org/W4393147933","https://openalex.org/W4393158506","https://openalex.org/W6637162671","https://openalex.org/W6739868092","https://openalex.org/W6796161053"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"have":[2],"explored":[3],"attacking":[4],"perception":[5],"models":[6,57],"of":[7,96],"autonomous":[8],"driving":[9],"systems":[10],"and":[11,38,65,127],"creating":[12],"adversarial":[13,81,97],"textures":[14,82,98],"to":[15,29,79],"evade":[16,115],"2D":[17,59],"vision":[18],"or":[19],"infrared":[20],"pedestrian":[21],"detectors.":[22],"However,":[23],"purely":[24],"camera-based":[25,120],"3D":[26,55,121],"detectors":[27],"remain":[28],"be":[30],"explored,":[31],"especially":[32],"in":[33],"complex":[34,109],"real-world":[35],"traffic":[36],"scenarios":[37],"road":[39],"conditions":[40],"where":[41],"pedestrians":[42],"are":[43],"prevalent.":[44],"In":[45],"this":[46,71],"paper,":[47],"we":[48,73],"propose":[49],"a":[50,75,102],"pipeline":[51],"that":[52],"accurately":[53],"renders":[54],"human":[56,91],"onto":[58],"scenes":[60,107],"while":[61],"maintaining":[62],"physical":[63],"realism":[64],"spatial":[66],"coordinate":[67],"constraints.":[68],"By":[69],"leveraging":[70],"pipeline,":[72],"design":[74],"soft-weighted":[76],"confidence":[77],"loss":[78],"optimize":[80],"on":[83,101],"clothing,":[84],"effectively":[85],"suppressing":[86],"predicted":[87],"boxes":[88],"near":[89],"the":[90,118],"model.":[92],"A":[93],"comprehensive":[94],"evaluation":[95],"is":[99],"conducted":[100],"test":[103],"set":[104],"comprising":[105],"100":[106],"with":[108],"environments.":[110],"Our":[111],"attack":[112],"can":[113],"consistently":[114],"detection":[116],"by":[117],"industrial":[119],"detector":[122],"SMOKE":[123],"across":[124],"multiple":[125],"viewpoints":[126],"scenes.":[128]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
