{"id":"https://openalex.org/W3195011672","doi":"https://doi.org/10.1109/icip42928.2021.9506722","title":"Monocular 3D Human Pose Estimation by Multiple Hypothesis Prediction and Joint Angle Supervision","display_name":"Monocular 3D Human Pose Estimation by Multiple Hypothesis Prediction and Joint Angle Supervision","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195011672","doi":"https://doi.org/10.1109/icip42928.2021.9506722","mag":"3195011672"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5047241166","display_name":"Aditya Prasad Panda","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aditya Panda","raw_affiliation_strings":["Indian Statistical Institute,Kolkata,India","Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute,Kolkata,India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006205250","display_name":"Dipti Prasad Mukherjee","orcid":"https://orcid.org/0000-0001-5553-2790"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipti Prasad Mukherjee","raw_affiliation_strings":["Indian Statistical Institute,Kolkata,India","Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute,Kolkata,India","institution_ids":["https://openalex.org/I6498739"]},{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047241166"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.60633987,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3243","last_page":"3247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9975000023841858,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.8342952728271484},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.7408010959625244},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7206058502197266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7086042165756226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6821251511573792},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.681265115737915},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.6208025813102722},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5290725827217102},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5183161497116089},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.503300130367279},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4787023365497589},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.42868366837501526},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4116896092891693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.365556001663208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20460933446884155},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06488847732543945}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8342952728271484},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.7408010959625244},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7206058502197266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7086042165756226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6821251511573792},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.681265115737915},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.6208025813102722},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5290725827217102},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5183161497116089},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.503300130367279},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4787023365497589},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.42868366837501526},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4116896092891693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.365556001663208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20460933446884155},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06488847732543945},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip42928.2021.9506722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1943191679","https://openalex.org/W2039240409","https://openalex.org/W2080873731","https://openalex.org/W2101032778","https://openalex.org/W2111446867","https://openalex.org/W2118931255","https://openalex.org/W2307770531","https://openalex.org/W2557698284","https://openalex.org/W2604375920","https://openalex.org/W2607707631","https://openalex.org/W2612706635","https://openalex.org/W2620105270","https://openalex.org/W2758778552","https://openalex.org/W2934361577","https://openalex.org/W2962896489","https://openalex.org/W2964304707","https://openalex.org/W2968459013","https://openalex.org/W2982627166","https://openalex.org/W2987343143","https://openalex.org/W6631190155","https://openalex.org/W6697925102"],"related_works":["https://openalex.org/W2113785214","https://openalex.org/W2946083937","https://openalex.org/W2798721181","https://openalex.org/W4299867837","https://openalex.org/W4386075737","https://openalex.org/W2951583186","https://openalex.org/W1974260915","https://openalex.org/W4382141741","https://openalex.org/W2088028039","https://openalex.org/W4394784820"],"abstract_inverted_index":{"Human":[0,115],"pose":[1,36,50,76],"estimation":[2],"in":[3,16,31],"3D":[4,21,35,49,75],"from":[5,52,77],"monocular":[6],"images":[7],"is":[8,43,93],"a":[9,39,53,84],"challenging":[10],"inverse":[11],"problem":[12],"due":[13],"to":[14,20,33,45,71,87],"ambiguity":[15],"lifting":[17],"2D":[18],"projection":[19],"space.":[22],"In":[23],"this":[24],"article":[25],"we":[26,57,82],"have":[27],"made":[28],"three":[29],"contributions":[30],"order":[32],"solve":[34],"estimation.":[37],"First,":[38],"new":[40,85],"DNN":[41],"architecture":[42],"proposed":[44,62],"generate":[46,58],"multiple":[47],"feasible":[48],"hypotheses":[51,63],"given":[54],"image.":[55],"Second,":[56],"weights":[59,68],"for":[60],"the":[61,73,78,90,96,103,114],"using":[64],"ordinal":[65],"supervision.":[66],"These":[67],"are":[69],"used":[70],"predict":[72],"final":[74],"generated":[79],"hypotheses.":[80],"Finally,":[81],"report":[83],"regularizer":[86],"enforce":[88],"that":[89],"predicted":[91],"skeleton":[92],"consistent":[94],"with":[95,108],"restriction":[97],"of":[98,105],"anthropomorphic":[99],"constraints.":[100],"We":[101],"compare":[102],"results":[104],"our":[106],"algorithm":[107,121],"other":[109],"state-of-the":[110],"art":[111],"approaches":[112],"on":[113],"3.":[116],"6m":[117],"benchmark":[118],"dataset.":[119],"Our":[120],"reports":[122],"competitive":[123],"results.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
