{"id":"https://openalex.org/W4312625089","doi":"https://doi.org/10.1109/case49997.2022.9926589","title":"Contrastive Learning of Features between Images and LiDAR","display_name":"Contrastive Learning of Features between Images and LiDAR","publication_year":2022,"publication_date":"2022-08-20","ids":{"openalex":"https://openalex.org/W4312625089","doi":"https://doi.org/10.1109/case49997.2022.9926589"},"language":"en","primary_location":{"id":"doi:10.1109/case49997.2022.9926589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926589","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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/A5100722002","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0002-8349-1743"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I4210164117","display_name":"Walker (United States)","ror":"https://ror.org/05hgh7849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164117"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["Texas A&#x0026;M University,J. Mike Walker &#x2019;66 Department of Mechanical Engineering,USA,TX 77840"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,J. Mike Walker &#x2019;66 Department of Mechanical Engineering,USA,TX 77840","institution_ids":["https://openalex.org/I91045830","https://openalex.org/I4210164117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053144325","display_name":"Srikanth Saripalli","orcid":"https://orcid.org/0000-0002-3906-7574"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I4210164117","display_name":"Walker (United States)","ror":"https://ror.org/05hgh7849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210164117"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srikanth Saripalli","raw_affiliation_strings":["Texas A&#x0026;M University,J. Mike Walker &#x2019;66 Department of Mechanical Engineering,USA,TX 77840"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,J. Mike Walker &#x2019;66 Department of Mechanical Engineering,USA,TX 77840","institution_ids":["https://openalex.org/I91045830","https://openalex.org/I4210164117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100722002"],"corresponding_institution_ids":["https://openalex.org/I4210164117","https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.9366,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87574284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"411","last_page":"417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9997000098228455,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7669422030448914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7012673616409302},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6213939189910889},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5566302537918091},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5273647904396057},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48905739188194275},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4797140955924988},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.46288344264030457},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4531635344028473},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42539310455322266},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3622695803642273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3414697051048279},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10749807953834534},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.09758567810058594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7669422030448914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7012673616409302},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6213939189910889},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5566302537918091},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5273647904396057},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48905739188194275},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4797140955924988},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46288344264030457},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4531635344028473},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42539310455322266},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3622695803642273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3414697051048279},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10749807953834534},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.09758567810058594},{"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},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49997.2022.9926589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49997.2022.9926589","pdf_url":null,"source":{"id":"https://openalex.org/S4363607892","display_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2083163329","https://openalex.org/W2096733369","https://openalex.org/W2157364932","https://openalex.org/W2194775991","https://openalex.org/W2558748708","https://openalex.org/W2559655401","https://openalex.org/W2601564443","https://openalex.org/W2612690371","https://openalex.org/W2842511635","https://openalex.org/W2905913346","https://openalex.org/W2968040091","https://openalex.org/W2981995220","https://openalex.org/W2995932445","https://openalex.org/W2998091191","https://openalex.org/W3034303554","https://openalex.org/W3091701820","https://openalex.org/W3096655658","https://openalex.org/W3135749219","https://openalex.org/W3168822201","https://openalex.org/W3173424558","https://openalex.org/W3203597819","https://openalex.org/W3206164009","https://openalex.org/W3206676377","https://openalex.org/W3214451692","https://openalex.org/W4214689917","https://openalex.org/W4234946928","https://openalex.org/W4295312788","https://openalex.org/W4297808394","https://openalex.org/W6682124274","https://openalex.org/W6682948231","https://openalex.org/W6725448924","https://openalex.org/W6730323794","https://openalex.org/W6739778489","https://openalex.org/W6756444276","https://openalex.org/W6757817989","https://openalex.org/W6770623884","https://openalex.org/W6802719855"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W4381094582","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W2201908702","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W1522139108","https://openalex.org/W4293094720","https://openalex.org/W2739701376"],"abstract_inverted_index":{"Image":[0],"and":[1,26,70,86,108],"Point":[2],"Clouds":[3],"provide":[4],"different":[5,15],"information":[6,118],"for":[7,19,33,61,83,90],"robots.":[8],"Finding":[9],"the":[10,102,128],"correspondences":[11],"between":[12],"data":[13],"from":[14,119],"sensors":[16],"is":[17,37],"crucial":[18],"various":[20],"tasks":[21],"such":[22],"as":[23,49,122,124],"localization,":[24],"mapping,":[25],"navigation.":[27],"Learning-based":[28],"descriptors":[29],"have":[30],"been":[31],"developed":[32,75],"single":[34],"sensors;":[35],"there":[36],"little":[38],"work":[39,44],"on":[40,96],"cross-modal":[41,47],"features.":[42,129],"This":[43],"treats":[45],"learning":[46,53],"features":[48,69],"a":[50,57,76,97],"dense":[51],"contrastive":[52],"problem.":[54],"We":[55,111],"propose":[56],"Tuple-Circle":[58],"loss":[59,106],"function":[60,107],"cross-modality":[62],"feature":[63],"learning.":[64],"Furthermore,":[65],"to":[66,100],"learn":[67,117],"good":[68],"not":[71],"lose":[72],"generality,":[73],"we":[74,93],"variant":[77],"of":[78,104],"widely":[79],"used":[80],"PointNet++":[81],"architecture":[82,89],"point":[84],"cloud":[85],"U-Net":[87],"CNN":[88],"images.":[91],"Moreover,":[92],"conduct":[94],"experiments":[95],"real-world":[98],"dataset":[99],"show":[101,112],"effectiveness":[103],"our":[105,114],"network":[109],"structure.":[110],"that":[113],"models":[115],"indeed":[116],"both":[120],"images":[121],"well":[123],"LiDAR":[125],"by":[126],"visualizing":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
