{"id":"https://openalex.org/W4404769919","doi":"https://doi.org/10.1007/978-3-031-73254-6_16","title":"Boosting 3D Single Object Tracking with\u00a02D Matching Distillation and\u00a03D Pre-training","display_name":"Boosting 3D Single Object Tracking with\u00a02D Matching Distillation and\u00a03D Pre-training","publication_year":2024,"publication_date":"2024-11-27","ids":{"openalex":"https://openalex.org/W4404769919","doi":"https://doi.org/10.1007/978-3-031-73254-6_16"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-73254-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-73254-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5062279616","display_name":"Qiangqiang Wu","orcid":"https://orcid.org/0000-0002-3847-7838"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiangqiang Wu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-3847-7838","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075565259","display_name":"Yan Xia","orcid":"https://orcid.org/0000-0002-5298-748X"},"institutions":[{"id":"https://openalex.org/I4403386549","display_name":"Munich Center for Machine Learning","ror":"https://ror.org/02nfy3535","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386549","https://openalex.org/I62916508","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yan Xia","raw_affiliation_strings":["Munich Center for Machine Learning (MCML), Munich, Germany","Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5298-748X","affiliations":[{"raw_affiliation_string":"Munich Center for Machine Learning (MCML), Munich, Germany","institution_ids":["https://openalex.org/I4403386549"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043446618","display_name":"Jia Wan","orcid":"https://orcid.org/0000-0001-8198-1629"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Wan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8198-1629","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065680386","display_name":"Antoni B. Chan","orcid":"https://orcid.org/0000-0002-2886-2513"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Antoni B. Chan","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2886-2513","affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075565259"],"corresponding_institution_ids":["https://openalex.org/I4403386549","https://openalex.org/I62916508"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.6294,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93023618,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"270","last_page":"288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9959999918937683,"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/boosting","display_name":"Boosting (machine learning)","score":0.8925535678863525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8379759788513184},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6556301712989807},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5628174543380737},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5260895490646362},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.4781395196914673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4669175148010254},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46332377195358276},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.448515921831131},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4294702708721161},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42794644832611084},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42780449986457825},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4271414279937744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07242429256439209},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06325522065162659}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8925535678863525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8379759788513184},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556301712989807},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5628174543380737},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5260895490646362},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4781395196914673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4669175148010254},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46332377195358276},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.448515921831131},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4294702708721161},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42794644832611084},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42780449986457825},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4271414279937744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07242429256439209},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06325522065162659},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-73254-6_16","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-73254-6_16","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2089961441","https://openalex.org/W2115579991","https://openalex.org/W2154889144","https://openalex.org/W2158827467","https://openalex.org/W2408241409","https://openalex.org/W2470394683","https://openalex.org/W2493502717","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2739013603","https://openalex.org/W2739879705","https://openalex.org/W2794744029","https://openalex.org/W2799058067","https://openalex.org/W2886756692","https://openalex.org/W2891033863","https://openalex.org/W2898200825","https://openalex.org/W2927438889","https://openalex.org/W2946585005","https://openalex.org/W2955747520","https://openalex.org/W2962922818","https://openalex.org/W2962924865","https://openalex.org/W2963471260","https://openalex.org/W2963534981","https://openalex.org/W2964423614","https://openalex.org/W2981819252","https://openalex.org/W2987460522","https://openalex.org/W3001584168","https://openalex.org/W3035172746","https://openalex.org/W3035574168","https://openalex.org/W3035641096","https://openalex.org/W3093537218","https://openalex.org/W3127561923","https://openalex.org/W3134380005","https://openalex.org/W3151922143","https://openalex.org/W3172670194","https://openalex.org/W3178664041","https://openalex.org/W3194700450","https://openalex.org/W3199838280","https://openalex.org/W3208501016","https://openalex.org/W3214586131","https://openalex.org/W4214759957","https://openalex.org/W4224925041","https://openalex.org/W4255556797","https://openalex.org/W4312571097","https://openalex.org/W4312751983","https://openalex.org/W4312788538","https://openalex.org/W4312805142","https://openalex.org/W4312950653","https://openalex.org/W4313057812","https://openalex.org/W4313059369","https://openalex.org/W4313152844","https://openalex.org/W4313156423","https://openalex.org/W4319452690","https://openalex.org/W4321482282","https://openalex.org/W4323057526","https://openalex.org/W4386065714","https://openalex.org/W4386066394","https://openalex.org/W4386072382","https://openalex.org/W4387730130","https://openalex.org/W4390872484","https://openalex.org/W4390872751","https://openalex.org/W4390874144","https://openalex.org/W4402727949","https://openalex.org/W6600005384","https://openalex.org/W6600753396","https://openalex.org/W6607622925","https://openalex.org/W6607919353","https://openalex.org/W6608078136","https://openalex.org/W6608093658"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W2154063878","https://openalex.org/W1529840045","https://openalex.org/W4244036394","https://openalex.org/W2135107501","https://openalex.org/W1842879116","https://openalex.org/W2047248895","https://openalex.org/W1822895636"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":10}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}