{"id":"https://openalex.org/W4406890896","doi":"https://doi.org/10.1109/tmm.2025.3535289","title":"RAFDet: Range View Augmented Fusion Network for Point-Based 3D Object Detection","display_name":"RAFDet: Range View Augmented Fusion Network for Point-Based 3D Object Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406890896","doi":"https://doi.org/10.1109/tmm.2025.3535289"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2025.3535289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535289","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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/A5068707953","display_name":"Zhijie Zheng","orcid":"https://orcid.org/0000-0002-5584-1785"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijie Zheng","raw_affiliation_strings":["School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5584-1785","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102874812","display_name":"Zhicong Huang","orcid":"https://orcid.org/0000-0002-4947-1589"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicong Huang","raw_affiliation_strings":["School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4947-1589","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068115518","display_name":"Jingwen Zhao","orcid":"https://orcid.org/0000-0002-8695-159X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwen Zhao","raw_affiliation_strings":["School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Lin","raw_affiliation_strings":["School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056953478","display_name":"Haifeng Hu","orcid":"https://orcid.org/0000-0002-4884-323X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Hu","raw_affiliation_strings":["School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4884-323X","affiliations":[{"raw_affiliation_string":"School of Electronic and Information Technology, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071453879","display_name":"Dihu Chen","orcid":"https://orcid.org/0000-0001-5432-8149"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dihu Chen","raw_affiliation_strings":["School of Integrated Circuits, Sun Yat-Sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5432-8149","affiliations":[{"raw_affiliation_string":"School of Integrated Circuits, Sun Yat-Sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":22.1832,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98948551,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"4167","last_page":"4180"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9922999739646912,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.8187230825424194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.583358645439148},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5206036567687988},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5087640881538391},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5035154223442078},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5026066303253174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49808549880981445},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48668819665908813},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.48072102665901184},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.27686864137649536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.077627032995224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8187230825424194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.583358645439148},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5206036567687988},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5087640881538391},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5035154223442078},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5026066303253174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49808549880981445},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48668819665908813},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.48072102665901184},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27686864137649536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.077627032995224},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3535289","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3535289","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W2150066425","https://openalex.org/W2555618208","https://openalex.org/W2897529137","https://openalex.org/W2949708697","https://openalex.org/W2963727135","https://openalex.org/W2964062501","https://openalex.org/W2967324759","https://openalex.org/W2968296999","https://openalex.org/W2988715931","https://openalex.org/W2997814983","https://openalex.org/W3008105217","https://openalex.org/W3035172746","https://openalex.org/W3035346742","https://openalex.org/W3035461736","https://openalex.org/W3093434340","https://openalex.org/W3107212734","https://openalex.org/W3108426750","https://openalex.org/W3118341329","https://openalex.org/W3136022415","https://openalex.org/W3136714643","https://openalex.org/W3166470370","https://openalex.org/W3167095230","https://openalex.org/W3167732492","https://openalex.org/W3170030651","https://openalex.org/W3171032126","https://openalex.org/W3175262579","https://openalex.org/W3178887474","https://openalex.org/W3188046901","https://openalex.org/W3210543564","https://openalex.org/W3216015562","https://openalex.org/W4200629389","https://openalex.org/W4214777292","https://openalex.org/W4226098442","https://openalex.org/W4281390486","https://openalex.org/W4309407869","https://openalex.org/W4312546175","https://openalex.org/W4312894406","https://openalex.org/W4312934050","https://openalex.org/W4312939270","https://openalex.org/W4318831014","https://openalex.org/W4321512510","https://openalex.org/W4327521117","https://openalex.org/W4367164138","https://openalex.org/W4367182782","https://openalex.org/W4376466999","https://openalex.org/W4378085463","https://openalex.org/W4379659745","https://openalex.org/W4380079737","https://openalex.org/W4382464460","https://openalex.org/W4385245566","https://openalex.org/W4385973842","https://openalex.org/W4386075590","https://openalex.org/W4386075696","https://openalex.org/W4386076253","https://openalex.org/W4386076702","https://openalex.org/W4389815110","https://openalex.org/W4390145037","https://openalex.org/W4390191907","https://openalex.org/W6631190155","https://openalex.org/W6739778489","https://openalex.org/W6749845547","https://openalex.org/W6769571200","https://openalex.org/W6791865007"],"related_works":["https://openalex.org/W2737719445","https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2898210368","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W4292830139","https://openalex.org/W4319309705","https://openalex.org/W2152662039"],"abstract_inverted_index":{"In":[0,98,146],"recent":[1],"years,":[2],"point-based":[3],"methods":[4],"have":[5,167],"achieved":[6],"promising":[7],"performance":[8,201],"on":[9,37,162,171,184],"3D":[10,158],"object":[11],"detection":[12,96,151,200],"task.":[13],"Although":[14],"effective,":[15],"they":[16],"still":[17],"suffer":[18],"from":[19],"the":[20,38,70,81,90,95,124,132,139,147,163,172,185,190],"inherent":[21],"sparsity":[22,91],"of":[23,40,64,72,141,194,199],"point":[24,74,86,111],"cloud,":[25,87],"which":[26],"makes":[27],"it":[28],"challenging":[29],"to":[30,57,79,108,129,155],"distinguish":[31],"objects":[32],"with":[33,112,138],"backgrounds":[34],"only":[35],"relying":[36],"view":[39,78],"raw":[41,73],"point.":[42],"To":[43],"this":[44,59],"end,":[45,148],"we":[46,100,122],"propose":[47],"a":[48,102,149],"straightforward":[49],"yet":[50],"effective":[51],"multi-view":[52],"fusion":[53,106,127],"network":[54],"termed":[55],"RAFDet":[56],"alleviate":[58],"issue.":[60],"The":[61],"core":[62],"idea":[63],"our":[65,169,195],"method":[66,170],"lies":[67],"in":[68,197],"combining":[69],"merits":[71],"and":[75,93,178,192,202],"its":[76],"range":[77],"enhance":[80],"representation":[82],"learning":[83,119],"for":[84],"sparse":[85,110],"thus":[88],"mitigating":[89],"problem":[92],"boosting":[94],"performance.":[97],"particular,":[99],"introduce":[101],"novel":[103],"bidirectional":[104],"attentive":[105],"module":[107,128],"equip":[109],"interacted":[113],"fine-grained":[114],"semantic":[115],"clues":[116],"during":[117],"feature":[118],"process.":[120],"Then,":[121],"devise":[123],"range-view":[125],"augmented":[126],"fully":[130],"exploit":[131],"supplementary":[133],"relationship":[134],"between":[135],"different":[136],"perspectives":[137],"aim":[140],"enhancing":[142],"original":[143],"point-view":[144],"features.":[145],"single-stage":[150],"head":[152],"is":[153],"utilized":[154],"predict":[156],"final":[157],"bounding":[159],"boxes":[160],"based":[161],"enhanced":[164],"semantics.":[165],"We":[166],"evaluated":[168],"popular":[173],"KITTI":[174],"Dataset,":[175],"DAIR-V2X":[176],"Dataset":[177],"Waymo":[179],"Open":[180],"Dataset.":[181],"Experimental":[182],"results":[183],"above":[186],"three":[187],"datasets":[188],"demonstrate":[189],"effectiveness":[191],"robustness":[193],"approach":[196],"terms":[198],"model":[203],"complexity.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}