{"id":"https://openalex.org/W2977822667","doi":"https://doi.org/10.1007/s42979-019-0025-9","title":"Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation","display_name":"Single-Shot 3D Mesh Estimation via Adversarial Domain Adaptation","publication_year":2019,"publication_date":"2019-10-03","ids":{"openalex":"https://openalex.org/W2977822667","doi":"https://doi.org/10.1007/s42979-019-0025-9","mag":"2977822667"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-019-0025-9","doi":"https://doi.org/10.1007/s42979-019-0025-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-019-0025-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"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/A5023595255","display_name":"Arthita Ghosh","orcid":"https://orcid.org/0000-0002-6140-408X","observed_orcids":["https://orcid.org/0000-0002-6140-408X"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Arthita Ghosh","raw_affiliation_strings":["Center for Automation Research, UMIACS, University of Maryland, College Park, MD, 20742, USA"],"raw_orcid":"https://orcid.org/0000-0002-6140-408X","affiliations":[{"raw_affiliation_string":"Center for Automation Research, UMIACS, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650","observed_orcids":["https://orcid.org/0000-0002-7638-1650"]},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Center for Automation Research, UMIACS, University of Maryland, College Park, MD, 20742, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Automation Research, UMIACS, University of Maryland, College Park, MD, 20742, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023595255"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":{"value":3190,"currency":"USD","value_usd":3190},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10789383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"1","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.7387999892234802,"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":0.7387999892234802,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.09160000085830688,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08879999816417694,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/3d-human-shape-estimation","display_name":"3D human shape estimation","score":0.7369999885559082},{"id":"https://openalex.org/keywords/adversarial-domain-adaptation","display_name":"adversarial domain adaptation","score":0.9869999885559082},{"id":"https://openalex.org/keywords/synthetic-to-real-transfer","display_name":"synthetic-to-real transfer","score":0.7599999904632568},{"id":"https://openalex.org/keywords/domain-shift","display_name":"domain shift","score":0.7429999709129333},{"id":"https://openalex.org/keywords/end-to-end-learning","display_name":"end-to-end learning","score":0.7649999856948853},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.4000000059604645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8026455640792847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7452274560928345},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7172378301620483},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7144315242767334},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6986252665519714},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6608966588973999},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6187450885772705},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5959519147872925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48550915718078613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4588161110877991},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4433182179927826},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.4431843161582947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42659080028533936},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.42476171255111694},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4145435392856598},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.11084842681884766},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-019-0025-9","doi":"https://doi.org/10.1007/s42979-019-0025-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-019-0025-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","jufo-1","norway-1","poland-20","russia-white-list-4","vabb-shw"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2181426379","display_name":null,"funder_award_id":"D17PC00345","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":103,"referenced_works":["https://openalex.org/W1677182931","https://openalex.org/W1861492603","https://openalex.org/W1882958252","https://openalex.org/W1943191679","https://openalex.org/W1967554269","https://openalex.org/W1989191365","https://openalex.org/W2080873731","https://openalex.org/W2101032778","https://openalex.org/W2122633688","https://openalex.org/W2137044594","https://openalex.org/W2175012183","https://openalex.org/W2194775991","https://openalex.org/W2214409633","https://openalex.org/W2293220651","https://openalex.org/W2307770531","https://openalex.org/W2312004824","https://openalex.org/W2404595106","https://openalex.org/W2471149695","https://openalex.org/W2483862638","https://openalex.org/W2518965973","https://openalex.org/W2554247908","https://openalex.org/W2557698284","https://openalex.org/W2559085405","https://openalex.org/W2559655401","https://openalex.org/W2559917662","https://openalex.org/W2573098616","https://openalex.org/W2576289912","https://openalex.org/W2578797046","https://openalex.org/W2583372902","https://openalex.org/W2583585015","https://openalex.org/W2584009249","https://openalex.org/W2593768305","https://openalex.org/W2604375920","https://openalex.org/W2605947573","https://openalex.org/W2611932403","https://openalex.org/W2612690371","https://openalex.org/W2612706635","https://openalex.org/W2742737904","https://openalex.org/W2756050327","https://openalex.org/W2758778552","https://openalex.org/W2767657961","https://openalex.org/W2768591600","https://openalex.org/W2770856226","https://openalex.org/W2772971432","https://openalex.org/W2777262900","https://openalex.org/W2779380177","https://openalex.org/W2781181706","https://openalex.org/W2785694322","https://openalex.org/W2787857915","https://openalex.org/W2788865504","https://openalex.org/W2794887779","https://openalex.org/W2795124604","https://openalex.org/W2795889831","https://openalex.org/W2795942369","https://openalex.org/W2797184202","https://openalex.org/W2797515701","https://openalex.org/W2798291180","https://openalex.org/W2798414551","https://openalex.org/W2798453135","https://openalex.org/W2798593490","https://openalex.org/W2798637590","https://openalex.org/W2798646183","https://openalex.org/W2798658180","https://openalex.org/W2798714868","https://openalex.org/W2798831272","https://openalex.org/W2798964604","https://openalex.org/W2799107345","https://openalex.org/W2806998878","https://openalex.org/W2807725536","https://openalex.org/W2810981979","https://openalex.org/W2848033333","https://openalex.org/W2883939894","https://openalex.org/W2885722640","https://openalex.org/W2885729320","https://openalex.org/W2886322387","https://openalex.org/W2890949887","https://openalex.org/W2891315523","https://openalex.org/W2894728917","https://openalex.org/W2895168809","https://openalex.org/W2895281799","https://openalex.org/W2895748257","https://openalex.org/W2962945654","https://openalex.org/W2963314137","https://openalex.org/W2963383668","https://openalex.org/W2963403405","https://openalex.org/W2963468256","https://openalex.org/W2963481481","https://openalex.org/W2963506806","https://openalex.org/W2963688992","https://openalex.org/W2963791050","https://openalex.org/W2963865469","https://openalex.org/W2963898943","https://openalex.org/W2963995996","https://openalex.org/W2964055354","https://openalex.org/W2964070329","https://openalex.org/W2964105113","https://openalex.org/W2964194725","https://openalex.org/W2964221239","https://openalex.org/W2964297864","https://openalex.org/W3023742835","https://openalex.org/W3177525997","https://openalex.org/W4212774754","https://openalex.org/W4251108253"],"related_works":["https://openalex.org/W6991098384","https://openalex.org/W2981581875","https://openalex.org/W3165753266","https://openalex.org/W3088485201","https://openalex.org/W4394593163","https://openalex.org/W4386068482","https://openalex.org/W4378501548","https://openalex.org/W6982674940","https://openalex.org/W4389298891","https://openalex.org/W4390873600"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-10-10T00:00:00"}
