{"id":"https://openalex.org/W4405303790","doi":"https://doi.org/10.1109/tcsvt.2024.3515996","title":"DCCLA: Dense Cross Connections With Linear Attention for LiDAR-Based 3D Pedestrian Detection","display_name":"DCCLA: Dense Cross Connections With Linear Attention for LiDAR-Based 3D Pedestrian Detection","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405303790","doi":"https://doi.org/10.1109/tcsvt.2024.3515996"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3515996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3515996","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5041507369","display_name":"Jinzheng Guang","orcid":"https://orcid.org/0000-0003-4972-2023"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinzheng Guang","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4972-2023","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101581028","display_name":"Shichao Wu","orcid":"https://orcid.org/0000-0001-5257-7934"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Wu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-5257-7934","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088466234","display_name":"Zhengxi Hu","orcid":"https://orcid.org/0000-0001-6119-4185"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxi Hu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6119-4185","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024493594","display_name":"Qianyi Zhang","orcid":"https://orcid.org/0000-0003-0973-0037"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyi Zhang","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-0973-0037","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Wu","orcid":"https://orcid.org/0009-0003-8823-584X"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Wu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0003-8823-584X","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030233306","display_name":"Jingtai Liu","orcid":"https://orcid.org/0000-0003-2645-5655"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingtai Liu","raw_affiliation_strings":["Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2645-5655","affiliations":[{"raw_affiliation_string":"Institute of Robotics and Automatic Information System and the TBI Center, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"Institute of Robotics and Automatic Information System, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.819,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71889452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"4535","last_page":"4548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"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/lidar","display_name":"Lidar","score":0.7525384426116943},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6726727485656738},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.6468273401260376},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.6307175755500793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4581214189529419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4447315037250519},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.28904861211776733},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1446509063243866}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7525384426116943},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6726727485656738},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6468273401260376},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.6307175755500793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4581214189529419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4447315037250519},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.28904861211776733},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1446509063243866},{"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/tcsvt.2024.3515996","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3515996","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G3116307879","display_name":null,"funder_award_id":"62173189","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":65,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2115579991","https://openalex.org/W2194775991","https://openalex.org/W2752782242","https://openalex.org/W2884436604","https://openalex.org/W2949708697","https://openalex.org/W2951517617","https://openalex.org/W2963125977","https://openalex.org/W2963446712","https://openalex.org/W2963587345","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W2990613095","https://openalex.org/W2991216808","https://openalex.org/W2997814983","https://openalex.org/W3012494314","https://openalex.org/W3015248322","https://openalex.org/W3017930107","https://openalex.org/W3025802147","https://openalex.org/W3030515889","https://openalex.org/W3034314779","https://openalex.org/W3034971973","https://openalex.org/W3093434340","https://openalex.org/W3096609285","https://openalex.org/W3108426750","https://openalex.org/W3109154950","https://openalex.org/W3120633509","https://openalex.org/W3137210930","https://openalex.org/W3144974485","https://openalex.org/W3164543136","https://openalex.org/W3167095230","https://openalex.org/W3174692508","https://openalex.org/W3177330511","https://openalex.org/W3181190968","https://openalex.org/W3188046901","https://openalex.org/W3206480303","https://openalex.org/W3216333260","https://openalex.org/W4214755140","https://openalex.org/W4223530498","https://openalex.org/W4289752563","https://openalex.org/W4295529465","https://openalex.org/W4296106218","https://openalex.org/W4312414163","https://openalex.org/W4312588336","https://openalex.org/W4313306311","https://openalex.org/W4316660720","https://openalex.org/W4321232487","https://openalex.org/W4367182782","https://openalex.org/W4384787373","https://openalex.org/W4385245566","https://openalex.org/W4385975752","https://openalex.org/W4386071758","https://openalex.org/W4386076253","https://openalex.org/W4390872801","https://openalex.org/W4392203547","https://openalex.org/W4402667891","https://openalex.org/W4402705525","https://openalex.org/W6757817989","https://openalex.org/W6779163297","https://openalex.org/W6781138733","https://openalex.org/W6797955913","https://openalex.org/W6802648153","https://openalex.org/W6810761126","https://openalex.org/W6850117044","https://openalex.org/W6861387779"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"LiDAR-based":[0],"3D":[1,72,113,136],"pedestrian":[2,29,38,104,137],"detection":[3,138],"has":[4],"recently":[5],"been":[6],"extensively":[7],"applied":[8],"in":[9],"autonomous":[10],"driving":[11],"and":[12,33,64,178,188],"intelligent":[13],"mobile":[14],"robots.":[15],"However,":[16],"it":[17],"remains":[18],"a":[19,47,173],"highly":[20],"challenging":[21],"perceptual":[22],"task":[23,139],"due":[24],"to":[25],"the":[26,34,58,62,67,77,108,135,141,146,159,163,184],"sparsity":[27],"of":[28,37,66,186],"point":[30,114],"cloud":[31],"data":[32],"significant":[35],"deformation":[36],"body":[39],"postures.":[40],"To":[41,96],"address":[42],"these":[43,83],"challenges,":[44],"we":[45,81,106],"propose":[46,107],"Dense":[48],"Cross":[49],"Connections":[50],"network":[51,68],"with":[52],"Linear":[53,109],"Attention":[54],"(DCCLA),":[55],"which":[56,117],"mitigates":[57],"semantic":[59],"discrepancy":[60],"between":[61],"encoder":[63],"decoder":[65],"by":[69,85,149],"integrating":[70],"multiple":[71],"sparse":[73],"convolutional":[74],"layers":[75],"within":[76],"skip":[78],"connections.":[79],"Furthermore,":[80,152],"enhance":[82],"connections":[84],"introducing":[86],"cross-connections,":[87],"thereby":[88],"effectively":[89,97],"promoting":[90],"information":[91,100],"interaction":[92],"among":[93],"various":[94],"channels.":[95],"retain":[98],"crucial":[99],"while":[101],"summarizing":[102],"diverse":[103],"representations,":[105],"Self-Attention":[110],"module":[111],"for":[112,134],"clouds":[115],"(LSA3D),":[116],"significantly":[118],"reduces":[119],"model":[120],"complexity.":[121],"The":[122,191],"experimental":[123],"results":[124],"demonstrate":[125],"that":[126,181],"our":[127,153,167],"DCCLA":[128,154],"achieves":[129,169],"state-of-the-art":[130],"Average":[131],"Precision":[132],"(AP)":[133],"on":[140,162],"JRDB":[142],"large-scale":[143],"dataset,":[144],"outperforming":[145],"second-ranked":[147],"method":[148,161,168],"2.7%":[150],"AP.":[151],"enhances":[155],"1.6%":[156],"mIoU":[157],"over":[158],"benchmark":[160],"SemanticKITTI":[164],"dataset.":[165],"Therefore,":[166],"excellent":[170],"performance":[171],"through":[172],"cross-scale":[174],"feature":[175],"fusion":[176],"strategy":[177],"linear":[179],"attention":[180],"fully":[182],"combines":[183],"advantages":[185],"convolution":[187],"transformer":[189],"architectures.":[190],"project":[192],"is":[193],"publicly":[194],"available":[195],"at":[196],"<uri":[197],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/jinzhengguang/DCCLA</uri>.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
