{"id":"https://openalex.org/W4396909915","doi":"https://doi.org/10.1109/tnnls.2024.3394254","title":"TODO-Net: Temporally Observed Domain Contrastive Network for 3-D Early Action Prediction","display_name":"TODO-Net: Temporally Observed Domain Contrastive Network for 3-D Early Action Prediction","publication_year":2024,"publication_date":"2024-05-14","ids":{"openalex":"https://openalex.org/W4396909915","doi":"https://doi.org/10.1109/tnnls.2024.3394254","pmid":"https://pubmed.ncbi.nlm.nih.gov/38743544"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3394254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3394254","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100631558","display_name":"Wenqian Wang","orcid":"https://orcid.org/0000-0003-0285-9786"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenqian Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-0285-9786","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070332088","display_name":"Faliang Chang","orcid":"https://orcid.org/0000-0003-1276-2267"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Faliang Chang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-1276-2267","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065058741","display_name":"Chunsheng Liu","orcid":"https://orcid.org/0000-0001-5516-2486"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunsheng Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5516-2486","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108156794","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-3790-2708"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016678826","display_name":"Zehao Liu","orcid":"https://orcid.org/0000-0003-4618-1321"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehao Liu","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-4618-1321","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100631558"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.7142,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69244385,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"36","issue":"4","first_page":"6122","last_page":"6133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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":0.9976000189781189,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9918000102043152,"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":0.6414703726768494},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5941845178604126},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5921118259429932},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.5895615220069885},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5693560838699341},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5615705251693726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3552723526954651},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3205113410949707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16448551416397095},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08639410138130188}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6414703726768494},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5941845178604126},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5921118259429932},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.5895615220069885},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5693560838699341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5615705251693726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3552723526954651},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3205113410949707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16448551416397095},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08639410138130188},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3394254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3394254","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:38743544","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38743544","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2739461422","display_name":null,"funder_award_id":"2018YFB1305300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5535474515","display_name":null,"funder_award_id":"62176138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8239702273","display_name":null,"funder_award_id":"62176136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8636925473","display_name":null,"funder_award_id":"U22A2058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8702961425","display_name":null,"funder_award_id":"2018YFB1305300","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W1483019628","https://openalex.org/W1744759976","https://openalex.org/W1985469025","https://openalex.org/W2048821851","https://openalex.org/W2093655440","https://openalex.org/W2115403315","https://openalex.org/W2138621090","https://openalex.org/W2284126738","https://openalex.org/W2472970127","https://openalex.org/W2507009361","https://openalex.org/W2510185399","https://openalex.org/W2526041356","https://openalex.org/W2584009249","https://openalex.org/W2588413703","https://openalex.org/W2604321021","https://openalex.org/W2605300166","https://openalex.org/W2605973302","https://openalex.org/W2606294640","https://openalex.org/W2607707631","https://openalex.org/W2623040213","https://openalex.org/W2739251211","https://openalex.org/W2756073160","https://openalex.org/W2765581107","https://openalex.org/W2767179670","https://openalex.org/W2776687321","https://openalex.org/W2782776028","https://openalex.org/W2786808285","https://openalex.org/W2798795235","https://openalex.org/W2810685774","https://openalex.org/W2885940446","https://openalex.org/W2940457086","https://openalex.org/W2948058585","https://openalex.org/W2953787907","https://openalex.org/W2960406243","https://openalex.org/W2962722475","https://openalex.org/W2963076818","https://openalex.org/W2963315828","https://openalex.org/W2963377948","https://openalex.org/W2963519194","https://openalex.org/W2963532621","https://openalex.org/W2963610939","https://openalex.org/W2963692464","https://openalex.org/W2964134613","https://openalex.org/W2964347220","https://openalex.org/W2964840771","https://openalex.org/W2965909452","https://openalex.org/W2971486392","https://openalex.org/W2972743300","https://openalex.org/W2981341885","https://openalex.org/W2981952041","https://openalex.org/W2990503944","https://openalex.org/W3006892894","https://openalex.org/W3034781633","https://openalex.org/W3035225512","https://openalex.org/W3035524453","https://openalex.org/W3092754310","https://openalex.org/W3093411241","https://openalex.org/W3093441220","https://openalex.org/W3106615203","https://openalex.org/W3109306201","https://openalex.org/W3130464934","https://openalex.org/W3138516171","https://openalex.org/W3165716503","https://openalex.org/W3174759211","https://openalex.org/W3176812167","https://openalex.org/W3182120198","https://openalex.org/W3205898195","https://openalex.org/W3211316995","https://openalex.org/W4200634815","https://openalex.org/W4206753629","https://openalex.org/W4230005465","https://openalex.org/W4297697565","https://openalex.org/W4312256886","https://openalex.org/W4312560592","https://openalex.org/W4312757006","https://openalex.org/W4319299930","https://openalex.org/W4319300928","https://openalex.org/W4320015918","https://openalex.org/W4367663575","https://openalex.org/W4382240124","https://openalex.org/W4386065445","https://openalex.org/W4386065571","https://openalex.org/W4386075706","https://openalex.org/W4390872223","https://openalex.org/W4391324012","https://openalex.org/W6683401423","https://openalex.org/W6720691552","https://openalex.org/W6765696844","https://openalex.org/W6776700526","https://openalex.org/W6779510507","https://openalex.org/W6780320422","https://openalex.org/W6784874100","https://openalex.org/W6810155590"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W4403012196","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W2613671004"],"abstract_inverted_index":{"Early":[0],"action":[1,143,170,216,227],"prediction":[2],"aiming":[3],"to":[4,11,23,50,77,91,114,152,167,172,198,205,225],"recognize":[5],"which":[6],"classes":[7],"the":[8,24,30,40,52,58,61,67,79,83,117,121,126,132,147,154,157,162,168,174,178,203,207,210,214,221,241,244,247],"actions":[9,123],"belong":[10],"before":[12],"they":[13],"are":[14],"fully":[15,46],"conveyed":[16],"is":[17,150],"a":[18,105,188],"very":[19],"challenging":[20],"task,":[21],"owing":[22],"insufficient":[25],"discrimination":[26,118],"information":[27,119],"caused":[28],"by":[29,130],"domain":[31,109,133,190],"gaps":[32,134,208],"among":[33,135],"different":[34,226],"temporally":[35,107,137],"observed":[36,47,54,70,85,108,138,164,183],"domains.":[37,72,98],"Most":[38],"of":[39,177,246],"existing":[41],"approaches":[42],"focus":[43],"on":[44,95,233],"using":[45],"temporal":[48,64,71,86,97,128,189,211,222],"domains":[49,55,65,87,129,139,212,223],"\"guide\"":[51],"partially":[53],"while":[56],"ignoring":[57],"discrepancies":[59],"between":[60,156,209],"harder":[62],"low-observed":[63,96,127,158],"and":[66,88,160,240],"easier":[68,80],"highly":[69,84,163],"The":[73],"recognition":[74,175],"models":[75],"tend":[76],"learn":[78],"samples":[81,124,180],"from":[82,120,125],"may":[89],"lead":[90],"significant":[92],"performance":[93,176],"drops":[94],"Therefore,":[99],"in":[100],"this":[101],"article,":[102],"we":[103],"propose":[104],"novel":[106],"contrastive":[110,193],"network,":[111],"namely,":[112],"TODO-Net,":[113],"explicitly":[115],"mine":[116,153],"hard":[122,179],"mitigating":[131],"various":[136],"for":[140],"3-D":[141,236],"early":[142],"prediction.":[144],"More":[145],"specifically,":[146],"proposed":[148,248],"TODO-Net":[149,201],"able":[151],"relationship":[155],"sequences":[159,165],"all":[161],"belonging":[166,224],"same":[169,215],"category":[171],"boost":[173],"with":[181,202],"fewer":[182],"frames.":[184],"We":[185,229],"also":[186],"introduce":[187],"conditioned":[191],"supervised":[192],"(TD-conditioned":[194],"SupCon)":[195],"learning":[196],"scheme":[197],"empower":[199],"our":[200],"ability":[204],"minimize":[206],"within":[213],"categories,":[217],"meanwhile":[218],"pushing":[219],"apart":[220],"classes.":[228],"conduct":[230],"extensive":[231],"experiments":[232],"two":[234],"public":[235],"skeleton-based":[237],"activity":[238],"datasets,":[239],"results":[242],"show":[243],"efficacy":[245],"TODO-Net.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
