{"id":"https://openalex.org/W7160301616","doi":"https://doi.org/10.1109/wacv61042.2026.00150","title":"milliMamba: Specular-Aware Human Pose Estimation via Dual mmWave Radar with Multi-Frame Mamba Fusion","display_name":"milliMamba: Specular-Aware Human Pose Estimation via Dual mmWave Radar with Multi-Frame Mamba Fusion","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160301616","doi":"https://doi.org/10.1109/wacv61042.2026.00150"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5021760872","display_name":"Niraj Prakash Kini","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Niraj Prakash Kini","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113265285","display_name":"Shiau-Rung Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shiau-Rung Tsai","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109684820","display_name":"Guan-Hsun Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Guan-Hsun Lin","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135320215","display_name":"Wen-Hsiao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiao Peng","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046184980","display_name":"Ching\u2010Wen Ma","orcid":"https://orcid.org/0000-0001-8813-6292"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Wen Ma","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135371534","display_name":"Jenq-Neng Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jenq-Neng Hwang","raw_affiliation_strings":["University of Washington,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Washington,USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8683378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1481","last_page":"1490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.3061000108718872,"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"}},"topics":[{"id":"https://openalex.org/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.3061000108718872,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.19269999861717224,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.1671999990940094,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/pose","display_name":"Pose","score":0.4429999887943268},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.39809998869895935},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.3917999863624573},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3783000111579895},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345999836921692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.616100013256073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791000127792358},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.39809998869895935},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.367000013589859},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C32283439","wikidata":"https://www.wikidata.org/wiki/Q1407014","display_name":"Radar tracker","level":3,"score":0.2768999934196472}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00150","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2799062425","https://openalex.org/W2979856235","https://openalex.org/W2990165697","https://openalex.org/W3047553107","https://openalex.org/W3096609285","https://openalex.org/W3120815051","https://openalex.org/W3175987492","https://openalex.org/W3203925315","https://openalex.org/W4220890766","https://openalex.org/W4313130756","https://openalex.org/W4319299976","https://openalex.org/W4319878974","https://openalex.org/W4361801761","https://openalex.org/W4381199209","https://openalex.org/W4385245566","https://openalex.org/W4386973902","https://openalex.org/W4389160168","https://openalex.org/W4397026570","https://openalex.org/W4403210269","https://openalex.org/W4403842425","https://openalex.org/W4403990405","https://openalex.org/W4404545707","https://openalex.org/W4405022230","https://openalex.org/W4405102059","https://openalex.org/W4407826348","https://openalex.org/W4407949170","https://openalex.org/W4409366800","https://openalex.org/W4409368247","https://openalex.org/W4412802262","https://openalex.org/W4413145859","https://openalex.org/W4415798298","https://openalex.org/W7084157436"],"related_works":[],"abstract_inverted_index":{"Millimeter-wave":[0],"radar":[1,19,35,71],"offers":[2],"a":[3,45,75,133],"privacy-preserving":[4],"and":[5,62,117,147,164],"lighting-invariant":[6],"alternative":[7],"to":[8,25,80,110,119],"RGB":[9],"sensors":[10],"for":[11],"Human":[12],"Pose":[13],"Estimation":[14],"(HPE)":[15],"task.":[16],"However,":[17],"the":[18,29,59,67,108,137,145,159],"signals":[20,36],"are":[21],"often":[22],"sparse":[23],"due":[24],"specular":[26,125],"reflection,":[27],"making":[28],"extraction":[30,61],"of":[31,70],"robust":[32],"features":[33,84],"from":[34,85,114],"highly":[37],"challenging.":[38],"To":[39,127],"address":[40],"this,":[41],"we":[42,73,131],"present":[43],"milliMamba,":[44],"radar-based":[46],"2D":[47],"human":[48],"pose":[49],"estimation":[50],"framework":[51],"that":[52,151],"jointly":[53],"models":[54],"spatio-temporal":[55,83,104],"dependencies":[56],"across":[57,99],"both":[58],"feature":[60],"decoding":[63],"stages.":[64],"Specifically,":[65],"given":[66],"high":[68],"dimensionality":[69],"inputs,":[72],"adopt":[74],"Cross-View":[76],"Fusion":[77],"Mamba":[78],"encoder":[79],"efficiently":[81],"extract":[82],"longer":[86],"sequences":[87],"with":[88],"linear":[89],"complexity.":[90,171],"A":[91],"Spatio-Temporal-Cross":[92],"Attention":[93],"decoder":[94],"then":[95],"predicts":[96],"joint":[97],"coordinates":[98],"multiple":[100],"frames.":[101],"Together,":[102],"this":[103],"modeling":[105],"pipeline":[106],"enables":[107],"model":[109],"leverage":[111],"contextual":[112],"cues":[113],"neighboring":[115],"frames":[116],"joints":[118,122],"infer":[120],"missing":[121],"caused":[123],"by":[124,161],"reflections.":[126],"reinforce":[128],"motion":[129],"smoothness,":[130],"incorporate":[132],"velocity":[134],"loss":[135,140],"alongside":[136],"standard":[138],"keypoint":[139],"during":[141],"training.":[142],"Experiments":[143],"on":[144],"TransHuPR":[146],"HuPR":[148],"datasets":[149],"demonstrate":[150],"our":[152],"method":[153],"achieves":[154],"significant":[155],"performance":[156],"improvements,":[157],"exceeding":[158],"baselines":[160],"11.0":[162],"AP":[163],"14.6":[165],"AP,":[166],"respectively,":[167],"while":[168],"maintaining":[169],"reasonable":[170],"Code:":[172],"https://github.com/NYCU-MAPL/milliMamba":[173]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}