{"id":"https://openalex.org/W3205844080","doi":"https://doi.org/10.1145/3474085.3475640","title":"Pixel-wise Graph Attention Networks for Person Re-identification","display_name":"Pixel-wise Graph Attention Networks for Person Re-identification","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3205844080","doi":"https://doi.org/10.1145/3474085.3475640","mag":"3205844080"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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/A5100385211","display_name":"Wenyu Zhang","orcid":"https://orcid.org/0009-0001-1457-1707"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyu Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051722859","display_name":"Qing Ding","orcid":"https://orcid.org/0000-0002-3752-1163"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Ding","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947264","display_name":"Jian Hu","orcid":"https://orcid.org/0000-0001-9918-672X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Hu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101601194","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0003-1832-8920"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Ma","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075013431","display_name":"Mingzhe L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Lu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100385211"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.9607,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77707516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5231","last_page":"5238"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987999796867371,"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":0.992900013923645,"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":0.7754480838775635},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6482036709785461},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5111985802650452},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4981207847595215},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.4940624535083771},{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.4630890190601349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44207826256752014},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43706220388412476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4183109700679779},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3820887804031372},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36938706040382385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14268428087234497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7754480838775635},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6482036709785461},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5111985802650452},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4981207847595215},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.4940624535083771},{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.4630890190601349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44207826256752014},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43706220388412476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4183109700679779},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3820887804031372},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36938706040382385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14268428087234497},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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":46,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2511791013","https://openalex.org/W2519887557","https://openalex.org/W2558460151","https://openalex.org/W2584637367","https://openalex.org/W2598634450","https://openalex.org/W2605212061","https://openalex.org/W2624431344","https://openalex.org/W2795758732","https://openalex.org/W2798590501","https://openalex.org/W2884585870","https://openalex.org/W2896888563","https://openalex.org/W2905297590","https://openalex.org/W2932399282","https://openalex.org/W2938210743","https://openalex.org/W2951559372","https://openalex.org/W2955058313","https://openalex.org/W2962767366","https://openalex.org/W2963091558","https://openalex.org/W2963180826","https://openalex.org/W2963365374","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963840672","https://openalex.org/W2963842104","https://openalex.org/W2963858333","https://openalex.org/W2964130064","https://openalex.org/W2964304299","https://openalex.org/W2964311892","https://openalex.org/W2967515867","https://openalex.org/W2968397098","https://openalex.org/W2979780858","https://openalex.org/W2979931389","https://openalex.org/W2979938149","https://openalex.org/W2981393440","https://openalex.org/W2984040540","https://openalex.org/W2989923292","https://openalex.org/W2990045899","https://openalex.org/W2990827756","https://openalex.org/W3034580371","https://openalex.org/W3035539956","https://openalex.org/W3099206234","https://openalex.org/W3100506510","https://openalex.org/W3110850179"],"related_works":["https://openalex.org/W3103325625","https://openalex.org/W1486898455","https://openalex.org/W4285411112","https://openalex.org/W2085033728","https://openalex.org/W2171299904","https://openalex.org/W3090727460","https://openalex.org/W2041905724","https://openalex.org/W2047986527","https://openalex.org/W4390494008","https://openalex.org/W4306313719"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1],"networks":[2,67],"(GCN)":[3],"is":[4,92,107,123,183],"widely":[5],"used":[6,108],"to":[7,34,43,46,83,113,185],"handle":[8],"irregular":[9],"data":[10,48],"since":[11],"it":[12,213],"updates":[13],"node":[14,116],"features":[15],"by":[16,143,200],"using":[17],"the":[18,24,37,62,97,110,115,140,171,186,192,215],"structure":[19],"information":[20,30],"of":[21,26,39,64,74,188],"graph.":[22],"With":[23],"help":[25],"iterated":[27],"GCN,":[28],"high-order":[29],"can":[31,148,158],"be":[32,150,159],"obtained":[33,142],"further":[35],"enhance":[36],"representation":[38,122],"nodes.":[40],"However,":[41],"how":[42],"apply":[44],"GCN":[45],"structured":[47],"(such":[49],"as":[50],"pictures)":[51],"has":[52],"not":[53],"been":[54],"deeply":[55],"studied.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,76,169],"explore":[61],"application":[63],"graph":[65,80,112,135,141,145,177],"attention":[66,136,178],"(GAT)":[68],"in":[69,191,206],"image":[70],"feature":[71],"extraction.":[72],"First":[73],"all,":[75],"propose":[77],"a":[78,119,131,153,175],"novel":[79],"generation":[81,146],"algorithm":[82,98,147],"convert":[84],"images":[85],"into":[86,130,152],"graphs":[87],"through":[88],"matrix":[89],"transformation.":[90],"It":[91],"one":[93],"magnitude":[94],"faster":[95],"than":[96],"based":[99],"on":[100,109,165],"K":[101],"Nearest":[102],"Neighbors":[103],"(KNN).":[104],"Then,":[105],"GAT":[106],"generated":[111],"update":[114],"features.":[117],"Thus,":[118],"more":[120],"robust":[121],"obtained.":[124],"These":[125],"two":[126,167],"steps":[127],"are":[128],"combined":[129,161],"module":[132,137],"called":[133],"pixel-wise":[134,176],"(PGA).":[138],"Since":[139],"our":[144],"still":[149],"transformed":[151],"picture":[154],"after":[155],"processing,":[156],"PGA":[157],"well":[160],"with":[162],"CNN.":[163],"Based":[164],"these":[166],"modules,":[168],"consulted":[170],"ResNet":[172],"and":[173,196,203],"design":[174],"network":[179],"(PGANet).":[180],"The":[181],"PGANet":[182],"applied":[184],"task":[187],"person":[189],"re-identification":[190],"datasets":[193],"Market1501,":[194],"DukeMTMC-reID":[195],"Occluded-DukeMTMC":[197],"(outperforms":[198],"state-of-the-art":[199,216],"0.8%,":[201],"1.1%":[202],"11%":[204],"respectively,":[205],"mAP":[207],"scores).":[208],"Experiment":[209],"results":[210],"show":[211],"that":[212],"achieves":[214],"performance.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}