{"id":"https://openalex.org/W3110648746","doi":"https://doi.org/10.3390/s20247243","title":"Cascaded Cross-Modality Fusion Network for 3D Object Detection","display_name":"Cascaded Cross-Modality Fusion Network for 3D Object Detection","publication_year":2020,"publication_date":"2020-12-17","ids":{"openalex":"https://openalex.org/W3110648746","doi":"https://doi.org/10.3390/s20247243","mag":"3110648746","pmid":"https://pubmed.ncbi.nlm.nih.gov/33348795"},"language":"en","primary_location":{"id":"doi:10.3390/s20247243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20247243","pdf_url":"https://www.mdpi.com/1424-8220/20/24/7243/pdf?version=1608210085","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/24/7243/pdf?version=1608210085","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100626000","display_name":"Zhiyu Chen","orcid":"https://orcid.org/0000-0002-5148-2447"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Chen","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101852582","display_name":"Qiong Lin","orcid":"https://orcid.org/0000-0002-6055-1619"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Lin","raw_affiliation_strings":["College of Automation, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100700551","display_name":"Jing Sun","orcid":"https://orcid.org/0000-0003-4608-6033"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Sun","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083814325","display_name":"Yujian Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujian Feng","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021798148","display_name":"Shangdong Liu","orcid":"https://orcid.org/0000-0002-8511-7544"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangdong Liu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":"https://orcid.org/0000-0002-8511-7544","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100409530","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0003-2922-3518"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053206926","display_name":"Yimu Ji","orcid":"https://orcid.org/0000-0001-7019-3942"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yimu Ji","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019497769","display_name":"He Xu","orcid":"https://orcid.org/0000-0003-2809-2237"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Xu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China"],"raw_orcid":"https://orcid.org/0000-0003-2809-2237","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, No. 9 Wenyuan Road, Yadong New District, Nanjing 210023, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053206926"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0981,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.42957455,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"20","issue":"24","first_page":"7243","last_page":"7243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9986000061035156,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7733725309371948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7279354333877563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6988415122032166},{"id":"https://openalex.org/keywords/minimum-bounding-box","display_name":"Minimum bounding box","score":0.6361085176467896},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6140367388725281},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6080716848373413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5753049254417419},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.5752813816070557},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.5072059631347656},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.49309298396110535},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.47371071577072144},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4523329734802246},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.44243723154067993},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4391691982746124},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42604732513427734},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4187089800834656},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4169844388961792},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3641071617603302},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2032342553138733},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.1370212435722351}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7733725309371948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7279354333877563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6988415122032166},{"id":"https://openalex.org/C147037132","wikidata":"https://www.wikidata.org/wiki/Q6865426","display_name":"Minimum bounding box","level":3,"score":0.6361085176467896},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6140367388725281},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6080716848373413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5753049254417419},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.5752813816070557},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.5072059631347656},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.49309298396110535},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.47371071577072144},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4523329734802246},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.44243723154067993},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4391691982746124},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42604732513427734},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4187089800834656},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4169844388961792},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3641071617603302},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2032342553138733},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.1370212435722351},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20247243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20247243","pdf_url":"https://www.mdpi.com/1424-8220/20/24/7243/pdf?version=1608210085","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33348795","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33348795","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:a34d7b56b7014480973201e5607d9069","is_oa":true,"landing_page_url":"https://doaj.org/article/a34d7b56b7014480973201e5607d9069","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 24, p 7243 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/24/7243/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s20247243","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 20; Issue 24; Pages: 7243","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7766807","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7766807","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20247243","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20247243","pdf_url":"https://www.mdpi.com/1424-8220/20/24/7243/pdf?version=1608210085","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[{"id":"https://openalex.org/G4138962319","display_name":null,"funder_award_id":"No. 61902194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5166385624","display_name":null,"funder_award_id":"NY219132","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5557015628","display_name":null,"funder_award_id":"19KJB520046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5834048854","display_name":null,"funder_award_id":"61902194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7262918536","display_name":null,"funder_award_id":"BE2019740","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7399050687","display_name":null,"funder_award_id":"20KJA520001","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"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110648746.pdf","grobid_xml":"https://content.openalex.org/works/W3110648746.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1565402342","https://openalex.org/W2150066425","https://openalex.org/W2193145675","https://openalex.org/W2229637417","https://openalex.org/W2415454270","https://openalex.org/W2473644495","https://openalex.org/W2490270993","https://openalex.org/W2555618208","https://openalex.org/W2570343428","https://openalex.org/W2624503621","https://openalex.org/W2768879211","https://openalex.org/W2798965597","https://openalex.org/W2897529137","https://openalex.org/W2904631343","https://openalex.org/W2949708697","https://openalex.org/W2950628590","https://openalex.org/W2950642167","https://openalex.org/W2951517617","https://openalex.org/W2962707357","https://openalex.org/W2962766617","https://openalex.org/W2962991329","https://openalex.org/W2963121255","https://openalex.org/W2963400571","https://openalex.org/W2963727135","https://openalex.org/W2964062501","https://openalex.org/W2968296999","https://openalex.org/W2968998169","https://openalex.org/W2981949127","https://openalex.org/W2998254148","https://openalex.org/W3004351857","https://openalex.org/W3008105217","https://openalex.org/W3012777053","https://openalex.org/W3017930107","https://openalex.org/W3034314779","https://openalex.org/W3034602892","https://openalex.org/W3035461736","https://openalex.org/W3082772998","https://openalex.org/W3106250896","https://openalex.org/W3107819843","https://openalex.org/W3130463448","https://openalex.org/W6765299845"],"related_works":["https://openalex.org/W4237171675","https://openalex.org/W3036286480","https://openalex.org/W3192357901","https://openalex.org/W2387360586","https://openalex.org/W4287027631","https://openalex.org/W2952736415","https://openalex.org/W3209723314","https://openalex.org/W3205398323","https://openalex.org/W2883297582","https://openalex.org/W4390524233"],"abstract_inverted_index":{"We":[0],"focus":[1],"on":[2,187],"exploring":[3],"the":[4,22,32,37,43,59,110,117,129,143,171,178,188,200],"LIDAR-RGB":[5],"fusion-based":[6],"3D":[7,95,167],"object":[8,130],"detection":[9],"in":[10,18,66,138],"this":[11,73],"paper.":[12],"This":[13],"task":[14],"is":[15,55,106,136],"still":[16],"challenging":[17],"two":[19,101,132],"aspects:":[20],"(1)":[21],"difference":[23],"of":[24,34,40,46,52,62,113,119,128,161],"data":[25],"formats":[26],"and":[27,42,91,124,145,152],"sensor":[28],"positions":[29],"contributes":[30],"to":[31,58,98,108,158,176],"misalignment":[33],"reasoning":[35,116],"between":[36,142,173],"semantic":[38,126],"features":[39,45,157],"images":[41],"geometric":[44,122],"point":[47,155],"clouds.":[48],"(2)":[49],"The":[50],"optimization":[51,180],"traditional":[53],"IoU":[54,96,168],"not":[56],"equal":[57],"regression":[60],"loss":[61,97,169],"bounding":[63,183],"boxes,":[64],"resulting":[65],"biased":[67],"back-propagation":[68],"for":[69,181],"non-overlapping":[70,182],"cases.":[71],"In":[72],"work,":[74],"we":[75],"propose":[76],"a":[77,85,92,139],"cascaded":[78,86,140],"cross-modality":[79],"fusion":[80,88],"network":[81],"(CCFNet),":[82],"which":[83,148],"includes":[84],"multi-scale":[87,154],"module":[89,105],"(CMF)":[90],"novel":[93],"center":[94,166],"resolve":[99],"these":[100],"issues.":[102],"Our":[103],"CMF":[104,135],"developed":[107],"reinforce":[109],"discriminative":[111],"representation":[112],"objects":[114],"by":[115],"relation":[118],"corresponding":[120],"LIDAR":[121,146],"capability":[123,127],"RGB":[125,144,162],"from":[131],"modalities.":[133],"Specifically,":[134],"added":[137],"way":[141],"streams,":[147],"selects":[149],"salient":[150],"points":[151],"transmits":[153],"cloud":[156],"each":[159],"stage":[160],"streams.":[163],"Moreover,":[164],"our":[165,194],"incorporates":[170],"distance":[172],"anchor":[174],"centers":[175],"avoid":[177],"oversimple":[179],"boxes.":[184],"Extensive":[185],"experiments":[186],"KITTI":[189],"benchmark":[190],"have":[191],"demonstrated":[192],"that":[193],"proposed":[195],"approach":[196],"performs":[197],"better":[198],"than":[199],"compared":[201],"methods.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
