{"id":"https://openalex.org/W4386083038","doi":"https://doi.org/10.1109/cvpr52729.2023.01632","title":"Hi4D: 4D Instance Segmentation of Close Human Interaction","display_name":"Hi4D: 4D Instance Segmentation of Close Human Interaction","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386083038","doi":"https://doi.org/10.1109/cvpr52729.2023.01632"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.01632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5113925786","display_name":"Yifei Yin","orcid":"https://orcid.org/0000-0002-0806-221X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Yifei Yin","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767015","display_name":"Chen Guo","orcid":"https://orcid.org/0000-0002-2230-8511"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Chen Guo","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068160818","display_name":"Manuel Kaufmann","orcid":"https://orcid.org/0000-0001-5309-319X"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Manuel Kaufmann","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041267900","display_name":"Juan Zarate","orcid":"https://orcid.org/0000-0001-9106-2394"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Juan Jose Zarate","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047371218","display_name":"Jie Song","orcid":"https://orcid.org/0000-0003-3671-6521"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jie Song","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025000908","display_name":"Otmar Hilliges","orcid":"https://orcid.org/0000-0002-5068-3474"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Otmar Hilliges","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113925786"],"corresponding_institution_ids":["https://openalex.org/I35440088"],"apc_list":null,"apc_paid":null,"fwci":4.5238,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.9605011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"17016","last_page":"17027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T12290","display_name":"Human Motion and Animation","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7850980758666992},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7795949578285217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7099695205688477},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6706514358520508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.554326057434082},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5137947201728821},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47633248567581177},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.41156232357025146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7850980758666992},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7795949578285217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099695205688477},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6706514358520508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.554326057434082},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5137947201728821},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47633248567581177},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.41156232357025146},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.01632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.01632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6100000143051147,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1967554269","https://openalex.org/W1989191365","https://openalex.org/W2005984284","https://openalex.org/W2038225875","https://openalex.org/W2089384364","https://openalex.org/W2122633688","https://openalex.org/W2215643317","https://openalex.org/W2221659194","https://openalex.org/W2400958808","https://openalex.org/W2483862638","https://openalex.org/W2522042470","https://openalex.org/W2559085405","https://openalex.org/W2594519801","https://openalex.org/W2793768642","https://openalex.org/W2797440557","https://openalex.org/W2888934629","https://openalex.org/W2904332125","https://openalex.org/W2921745007","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963515833","https://openalex.org/W2963926543","https://openalex.org/W2963995996","https://openalex.org/W2964219767","https://openalex.org/W2971476609","https://openalex.org/W2971856312","https://openalex.org/W2978956737","https://openalex.org/W2979283733","https://openalex.org/W2981637078","https://openalex.org/W2981978060","https://openalex.org/W2982275673","https://openalex.org/W2993182889","https://openalex.org/W3015340111","https://openalex.org/W3034430142","https://openalex.org/W3034757648","https://openalex.org/W3034902964","https://openalex.org/W3035191304","https://openalex.org/W3035291735","https://openalex.org/W3035358681","https://openalex.org/W3035492592","https://openalex.org/W3035551320","https://openalex.org/W3041416670","https://openalex.org/W3044310226","https://openalex.org/W3094236686","https://openalex.org/W3099926824","https://openalex.org/W3101022589","https://openalex.org/W3106171282","https://openalex.org/W3107346586","https://openalex.org/W3107384982","https://openalex.org/W3110095664","https://openalex.org/W3118314544","https://openalex.org/W3166229844","https://openalex.org/W3167491448","https://openalex.org/W3167542203","https://openalex.org/W3173627540","https://openalex.org/W3193427204","https://openalex.org/W3202627061","https://openalex.org/W3204320006","https://openalex.org/W3204323171","https://openalex.org/W3204654630","https://openalex.org/W3209771269","https://openalex.org/W3215117597","https://openalex.org/W4206738554","https://openalex.org/W4214619583","https://openalex.org/W4214770715","https://openalex.org/W4226160668","https://openalex.org/W4281478479","https://openalex.org/W4312311094","https://openalex.org/W4312783246","https://openalex.org/W4312845411","https://openalex.org/W4312925709","https://openalex.org/W4312940821","https://openalex.org/W4312955815","https://openalex.org/W4312979714","https://openalex.org/W4367320530","https://openalex.org/W4386066366","https://openalex.org/W4386075747","https://openalex.org/W4386076611","https://openalex.org/W6620707391","https://openalex.org/W6722076910","https://openalex.org/W6771428614","https://openalex.org/W6782048685","https://openalex.org/W6782187349","https://openalex.org/W6785016219","https://openalex.org/W6841290514","https://openalex.org/W6845679938","https://openalex.org/W6846841021"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2373192430","https://openalex.org/W4239268388","https://openalex.org/W1537496349","https://openalex.org/W2379407973","https://openalex.org/W4243305035","https://openalex.org/W2125195795"],"abstract_inverted_index":{"We":[0,129],"propose":[1],"Hi4D,":[2],"a":[3,25,46,106],"method":[4],"and":[5,31,70,77,105,121,134,141],"dataset":[6,94,140,151],"for":[7],"the":[8,81],"automatic":[9],"analysis":[10],"of":[11,42,74,95,99,108],"physically":[12],"close":[13,43,75],"human-human":[14],"interaction":[15],"under":[16],"prolonged":[17],"contact.":[18],"Robustly":[19],"disentangling":[20],"several":[21],"in-contact":[22],"subjects":[23,44],"is":[24],"challenging":[26],"task":[27],"due":[28],"to":[29],"occlusions":[30],"complex":[32],"shapes.":[33],"Hence,":[34],"existing":[35],"multi-view":[36],"systems":[37],"typically":[38],"fuse":[39],"3D":[40,122],"surfaces":[41],"into":[45,85],"single,":[47],"connected":[48],"mesh.":[49],"To":[50],"address":[51],"this":[52,139],"issue":[53],"we":[54,91],"leverage":[55],"i)":[56],"individually":[57],"fitted":[58],"neural":[59],"implicit":[60],"avatars;":[61],"ii)":[62],"an":[63],"alternating":[64],"optimization":[65],"scheme":[66],"that":[67],"refines":[68],"pose":[69,133],"surface":[71],"through":[72],"periods":[73],"proximity;":[76],"iii)":[78],"thus":[79],"segment":[80],"fused":[82],"raw":[83],"scans":[84,98],"individual":[86],"instances.":[87],"From":[88],"these":[89,148],"instances":[90],"compile":[92],"Hi4D":[93,114,150],"4D":[96],"textured":[97],"20":[100],"subject":[101],"pairs,":[102],"100":[103],"sequences,":[104],"total":[107],"more":[109],"than":[110],"11":[111],"K":[112],"frames.":[113],"contains":[115],"rich":[116],"interaction-centric":[117],"annotations":[118],"in":[119],"2D":[120],"alongside":[123],"accurately":[124],"registered":[125],"parametric":[126],"body":[127],"models.":[128],"define":[130],"varied":[131],"human":[132],"shape":[135],"estimation":[136],"tasks":[137],"on":[138,147],"provide":[142],"results":[143],"from":[144],"state-of-the-art":[145],"methods":[146],"benchmarks.":[149],"can":[152],"be":[153],"found":[154],"at":[155],"https://ait.ethz.ch/Hi4D.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
