{"id":"https://openalex.org/W4304080263","doi":"https://doi.org/10.1145/3503161.3547903","title":"Order-aware Human Interaction Manipulation","display_name":"Order-aware Human Interaction Manipulation","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080263","doi":"https://doi.org/10.1145/3503161.3547903"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3547903","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547903","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547903","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547903","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064812067","display_name":"Mandi Luo","orcid":"https://orcid.org/0000-0001-8298-3220"},"institutions":[{"id":"https://openalex.org/I4210148850","display_name":"National Science Library","ror":"https://ror.org/04ndjyr10","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mandi Luo","raw_affiliation_strings":["School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","NLPR, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"NLPR, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210148850"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051771665","display_name":"Jie Cao","orcid":"https://orcid.org/0000-0001-6368-4495"},"institutions":[{"id":"https://openalex.org/I4210148850","display_name":"National Science Library","ror":"https://ror.org/04ndjyr10","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cao","raw_affiliation_strings":["School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","NLPR, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"NLPR, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210148850"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112749024","display_name":"Ran He","orcid":"https://orcid.org/0000-0002-3807-991X"},"institutions":[{"id":"https://openalex.org/I4210148850","display_name":"National Science Library","ror":"https://ror.org/04ndjyr10","country_code":"CN","type":"archive","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210148850"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran He","raw_affiliation_strings":["School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","NLPR, CAS, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, UCAS; NLPR, CAS, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"NLPR, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210148850"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064812067"],"corresponding_institution_ids":["https://openalex.org/I4210148850"],"apc_list":null,"apc_paid":null,"fwci":0.06,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.27784115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2691","last_page":"2699"},"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/T12290","display_name":"Human Motion and Animation","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.8281852006912231},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7723000049591064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6689925789833069},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6566264629364014},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.633625864982605},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5970669984817505},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.48561540246009827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4482201337814331},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3661673367023468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06332823634147644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8281852006912231},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7723000049591064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6689925789833069},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6566264629364014},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.633625864982605},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5970669984817505},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.48561540246009827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4482201337814331},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3661673367023468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06332823634147644},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3547903","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547903","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547903","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3503161.3547903","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3503161.3547903","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3503161.3547903","source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G3305600360","display_name":null,"funder_award_id":"Grant No. U21B2045,Grant No. U20A20223","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4304080263.pdf","grobid_xml":"https://content.openalex.org/works/W4304080263.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W398859631","https://openalex.org/W569478347","https://openalex.org/W1861492603","https://openalex.org/W2076874408","https://openalex.org/W2204750386","https://openalex.org/W2331128040","https://openalex.org/W2348664362","https://openalex.org/W2609883120","https://openalex.org/W2739010165","https://openalex.org/W2771558241","https://openalex.org/W2779692282","https://openalex.org/W2798714868","https://openalex.org/W2927438889","https://openalex.org/W2948467257","https://openalex.org/W2962963674","https://openalex.org/W2963073614","https://openalex.org/W2963266880","https://openalex.org/W2963660453","https://openalex.org/W2963734522","https://openalex.org/W2964002510","https://openalex.org/W2964325922","https://openalex.org/W2990500698","https://openalex.org/W3034950620","https://openalex.org/W3035524453","https://openalex.org/W3036691623","https://openalex.org/W3095127874","https://openalex.org/W3106811106","https://openalex.org/W3166096919","https://openalex.org/W3176412779"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"The":[0,43],"majority":[1],"of":[2,53,72,100],"current":[3],"techniques":[4],"for":[5],"pose":[6,74,104],"transfer":[7,105],"disregard":[8],"the":[9,12,16,47,51,54,69,98,113],"interactions":[10],"between":[11],"transferred":[13],"person":[14],"and":[15],"surrounding":[17],"instances,":[18],"resulting":[19],"in":[20],"context":[21,70],"inconsistency":[22],"when":[23],"applied":[24],"to":[25,38,58,82,109,124],"complicated":[26],"situations.":[27],"To":[28],"tackle":[29],"this":[30,66],"issue,":[31],"we":[32,86],"propose":[33],"InterOrderNet,":[34],"a":[35,88],"novel":[36,89],"framework":[37],"perform":[39,125],"order-aware":[40],"interaction":[41,126],"learning.":[42],"proposed":[44,114],"InterOrderNet":[45,120],"learns":[46],"relative":[48],"order":[49,67,101],"on":[50],"direction":[52],"z-axis":[55],"among":[56],"instances":[57],"describe":[59],"instance-level":[60],"occlusions.":[61],"Not":[62],"only":[63],"does":[64],"learning":[65],"guarantee":[68],"consistency":[71],"human":[73],"transfer,":[75],"but":[76],"it":[77],"also":[78],"enhances":[79],"its":[80],"generalization":[81],"natural":[83],"scenes.":[84],"Additionally,":[85],"present":[87],"unsupervised":[90],"method,":[91],"named":[92],"Imitative":[93],"Contrastive":[94],"Learning,":[95],"which":[96],"sidesteps":[97],"requirements":[99],"annotations.":[102],"Existing":[103],"methods":[106,123],"are":[107],"easy":[108],"be":[110],"integrated":[111],"into":[112],"InterOrderNet.":[115],"Extensive":[116],"experiments":[117],"demonstrate":[118],"that":[119],"enables":[121],"these":[122],"manipulation.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}