{"id":"https://openalex.org/W2894287712","doi":"https://doi.org/10.1109/tip.2019.2902784","title":"Deformable Object Tracking With Gated Fusion","display_name":"Deformable Object Tracking With Gated Fusion","publication_year":2019,"publication_date":"2019-03-07","ids":{"openalex":"https://openalex.org/W2894287712","doi":"https://doi.org/10.1109/tip.2019.2902784","mag":"2894287712","pmid":"https://pubmed.ncbi.nlm.nih.gov/30843833"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2902784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2902784","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1809.10417","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045303340","display_name":"Wenxi Liu","orcid":"https://orcid.org/0000-0002-3630-6322"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxi Liu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3630-6322","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068034476","display_name":"Yibing Song","orcid":"https://orcid.org/0000-0003-3667-531X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yibing Song","raw_affiliation_strings":["Tencent AI Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3667-531X","affiliations":[{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059265942","display_name":"Dengsheng Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengsheng Chen","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056103024","display_name":"Shengfeng He","orcid":"https://orcid.org/0000-0002-3802-4644"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengfeng He","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3802-4644","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053193108","display_name":"Yuanlong Yu","orcid":"https://orcid.org/0000-0002-2112-6214"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlong Yu","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2112-6214","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089927144","display_name":"Tao Yan","orcid":"https://orcid.org/0000-0002-9162-8551"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yan","raw_affiliation_strings":["Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-9162-8551","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Media Design and Software Technology, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019818778","display_name":"Gerhard P. Hancke","orcid":"https://orcid.org/0000-0002-2388-3542"},"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":"Gehard P. Hancke","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-2388-3542","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006197413","display_name":"Rynson W. H. Lau","orcid":"https://orcid.org/0000-0002-8957-8129"},"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":"Rynson W.H. Lau","raw_affiliation_strings":["City University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8957-8129","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7791,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92587053,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"28","issue":"8","first_page":"3766","last_page":"3777"},"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":0.9939000010490417,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.842803418636322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7421754598617554},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7236770987510681},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7131720185279846},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.7042447328567505},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6714326739311218},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5751706957817078},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5155889391899109},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5084277987480164},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.46605902910232544},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46487879753112793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.440338134765625},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42325127124786377},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.41067296266555786},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3668827712535858},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2574085295200348},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.133713960647583}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.842803418636322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7421754598617554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7236770987510681},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7131720185279846},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.7042447328567505},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6714326739311218},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5751706957817078},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5155889391899109},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5084277987480164},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.46605902910232544},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46487879753112793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.440338134765625},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42325127124786377},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.41067296266555786},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3668827712535858},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2574085295200348},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.133713960647583},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tip.2019.2902784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2902784","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:30843833","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30843833","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:arXiv.org:1809.10417","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.10417","pdf_url":"https://arxiv.org/pdf/1809.10417","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-8856","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/7853","pdf_url":null,"source":{"id":"https://openalex.org/S4306401925","display_name":"Singapore Management University Institutional Knowledge (InK) (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/TIP.2019.2902784","raw_type":"Journal Article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1809.10417","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1809.10417","pdf_url":"https://arxiv.org/pdf/1809.10417","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.5400000214576721},{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G4746719958","display_name":null,"funder_award_id":"61702194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4813735493","display_name":null,"funder_award_id":"61702104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8168621812","display_name":null,"funder_award_id":"2016J05155","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G8172697185","display_name":null,"funder_award_id":"61873067","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W182940129","https://openalex.org/W603908379","https://openalex.org/W1854404533","https://openalex.org/W1857884451","https://openalex.org/W1892578678","https://openalex.org/W1900239115","https://openalex.org/W1915599933","https://openalex.org/W1955514522","https://openalex.org/W1955741794","https://openalex.org/W1963882359","https://openalex.org/W1964846093","https://openalex.org/W1967973024","https://openalex.org/W1997121481","https://openalex.org/W2000326692","https://openalex.org/W2016075127","https://openalex.org/W2024029849","https://openalex.org/W2064675550","https://openalex.org/W2089961441","https://openalex.org/W2114822181","https://openalex.org/W2124211486","https://openalex.org/W2130026429","https://openalex.org/W2132663727","https://openalex.org/W2140595412","https://openalex.org/W2145339207","https://openalex.org/W2154889144","https://openalex.org/W2158592639","https://openalex.org/W2158827467","https://openalex.org/W2160867111","https://openalex.org/W2162383208","https://openalex.org/W2167089254","https://openalex.org/W2211629196","https://openalex.org/W2232924552","https://openalex.org/W2244956674","https://openalex.org/W2294602567","https://openalex.org/W2343187456","https://openalex.org/W2380373457","https://openalex.org/W2395596584","https://openalex.org/W2469582947","https://openalex.org/W2470394683","https://openalex.org/W2473868734","https://openalex.org/W2513005088","https://openalex.org/W2518013266","https://openalex.org/W2557641257","https://openalex.org/W2599547527","https://openalex.org/W2601564443","https://openalex.org/W2673818281","https://openalex.org/W2737572441","https://openalex.org/W2738318237","https://openalex.org/W2740685955","https://openalex.org/W2742165450","https://openalex.org/W2748261474","https://openalex.org/W2776035257","https://openalex.org/W2776566587","https://openalex.org/W2790441826","https://openalex.org/W2797812763","https://openalex.org/W2798520605","https://openalex.org/W2799058067","https://openalex.org/W2915935370","https://openalex.org/W2953066166","https://openalex.org/W2962778460","https://openalex.org/W2962824803","https://openalex.org/W2963051855","https://openalex.org/W2963173190","https://openalex.org/W2963249584","https://openalex.org/W2963791342","https://openalex.org/W2964038557","https://openalex.org/W2964111344","https://openalex.org/W2964242925","https://openalex.org/W2964253307","https://openalex.org/W3102624093","https://openalex.org/W3125612102","https://openalex.org/W4231340930","https://openalex.org/W6618372016","https://openalex.org/W6638992375","https://openalex.org/W6648737282","https://openalex.org/W6679027886","https://openalex.org/W6697111280","https://openalex.org/W6703518758","https://openalex.org/W6720898849","https://openalex.org/W6726293469","https://openalex.org/W6741275964","https://openalex.org/W6751191612","https://openalex.org/W6754805553"],"related_works":["https://openalex.org/W2002136628","https://openalex.org/W2166802793","https://openalex.org/W1981324031","https://openalex.org/W2965594636","https://openalex.org/W2912550626","https://openalex.org/W2132541102","https://openalex.org/W2963010494","https://openalex.org/W3201620372","https://openalex.org/W2107332757","https://openalex.org/W2132182117"],"abstract_inverted_index":{"The":[0,120,140],"tracking-by-detection":[1,78],"framework":[2],"receives":[3],"growing":[4],"attention":[5],"through":[6,124],"the":[7,10,30,47,51,72,77,84,109,113,117,128,131,135,144,149,155],"integration":[8],"with":[9,23],"convolutional":[11,32],"neural":[12],"networks":[13],"(CNNs).":[14],"Existing":[15],"tracking-by-detection-based":[16],"methods,":[17],"however,":[18],"fail":[19],"to":[20,45,70,82,106],"track":[21],"objects":[22],"severe":[24],"appearance":[25,74,86],"variations.":[26],"This":[27],"is":[28,34,53],"because":[29],"traditional":[31],"operation":[33],"performed":[35],"on":[36,134,143],"fixed":[37],"grids,":[38],"and":[39,138],"thus":[40],"may":[41],"not":[42],"be":[43],"able":[44],"find":[46],"correct":[48],"response":[49],"while":[50],"object":[52,137],"changing":[54],"pose":[55],"or":[56],"under":[57],"varying":[58],"environmental":[59],"conditions.":[60],"In":[61,97],"this":[62],"paper,":[63],"we":[64,99],"propose":[65,101],"a":[66,102],"deformable":[67,89,114,125],"convolution":[68,115,126],"layer":[69],"enrich":[71],"target":[73,85,136],"representations":[75],"in":[76],"framework.":[79],"We":[80],"aim":[81],"capture":[83],"variations":[87,110],"via":[88],"convolution,":[90],"which":[91],"adaptively":[92],"enhances":[93],"its":[94],"original":[95,118],"features.":[96],"addition,":[98],"also":[100],"gated":[103],"fusion":[104],"scheme":[105],"control":[107],"how":[108],"captured":[111],"by":[112],"affect":[116],"appearance.":[119],"enriched":[121],"feature":[122],"representation":[123],"facilitates":[127],"discrimination":[129],"of":[130],"CNN":[132],"classifier":[133],"background.":[139],"extensive":[141],"experiments":[142],"standard":[145],"benchmarks":[146],"show":[147],"that":[148],"proposed":[150],"tracker":[151],"performs":[152],"favorably":[153],"against":[154],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
