{"id":"https://openalex.org/W4402727531","doi":"https://doi.org/10.1109/cvpr52733.2024.01387","title":"Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations","display_name":"Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations","publication_year":2024,"publication_date":"2024-06-16","ids":{"openalex":"https://openalex.org/W4402727531","doi":"https://doi.org/10.1109/cvpr52733.2024.01387"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52733.2024.01387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5100622679","display_name":"Kewei Wang","orcid":"https://orcid.org/0000-0001-9433-720X"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kewei Wang","raw_affiliation_strings":["School of AIA, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of AIA, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087300058","display_name":"Yizheng Wu","orcid":"https://orcid.org/0000-0001-5335-4919"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizheng WU","raw_affiliation_strings":["School of AIA, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of AIA, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102825745","display_name":"Jun Cen","orcid":"https://orcid.org/0000-0001-8609-9408"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jun CEN","raw_affiliation_strings":["S-Lab, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080209384","display_name":"Zhiyu Pan","orcid":"https://orcid.org/0000-0001-5584-6669"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Pan","raw_affiliation_strings":["School of AIA, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of AIA, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687800","display_name":"Xingyi Li","orcid":"https://orcid.org/0000-0001-5765-3852"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyi Li","raw_affiliation_strings":["School of AIA, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of AIA, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407604","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-1698-2761"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["SenseTime Research"],"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036358447","display_name":"Zhiguo Cao","orcid":"https://orcid.org/0000-0002-9223-1863"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Cao","raw_affiliation_strings":["School of AIA, Huazhong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"School of AIA, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029912845","display_name":"Guosheng Lin","orcid":"https://orcid.org/0000-0002-0329-7458"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Guosheng Lin","raw_affiliation_strings":["S-Lab, Nanyang Technological University"],"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100622679"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.8147743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"14638","last_page":"14647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980000257492065,"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":0.9969000220298767,"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":0.6784103512763977},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.618930459022522},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5814847946166992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559598445892334},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5433987975120544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34686940908432007},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34008100628852844}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6784103512763977},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.618930459022522},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5814847946166992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559598445892334},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5433987975120544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34686940908432007},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34008100628852844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52733.2024.01387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52733.2024.01387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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","display_name":"Reduced inequalities","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W2158131535","https://openalex.org/W2248001717","https://openalex.org/W2955189650","https://openalex.org/W2963727135","https://openalex.org/W2963954891","https://openalex.org/W2968296999","https://openalex.org/W2968337686","https://openalex.org/W2971686478","https://openalex.org/W3010072020","https://openalex.org/W3034295100","https://openalex.org/W3034321406","https://openalex.org/W3035054225","https://openalex.org/W3062588417","https://openalex.org/W3092856933","https://openalex.org/W3097139398","https://openalex.org/W3106932526","https://openalex.org/W3114753236","https://openalex.org/W3127986322","https://openalex.org/W3163789542","https://openalex.org/W3175582404","https://openalex.org/W3175617025","https://openalex.org/W3177525997","https://openalex.org/W4295312788","https://openalex.org/W4303875843","https://openalex.org/W4312332695","https://openalex.org/W4312374527","https://openalex.org/W4312376118","https://openalex.org/W4312443676","https://openalex.org/W4386065821","https://openalex.org/W4390874092","https://openalex.org/W4393148279","https://openalex.org/W6628877408","https://openalex.org/W6682962330","https://openalex.org/W6723083950","https://openalex.org/W6766978945","https://openalex.org/W6771941581","https://openalex.org/W6778294779","https://openalex.org/W6782468546","https://openalex.org/W6786585238"],"related_works":["https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2462100143","https://openalex.org/W1770503332","https://openalex.org/W3125207769","https://openalex.org/W2577825108","https://openalex.org/W2949684406","https://openalex.org/W2140728006"],"abstract_inverted_index":{"The":[0],"perception":[1],"of":[2,25,41,94,168],"motion":[3,18,24,96,125],"behavior":[4],"in":[5,79],"a":[6],"dynamic":[7],"environment":[8],"holds":[9],"significant":[10,166],"importance":[11],"for":[12],"autonomous":[13],"driving":[14],"systems,":[15],"wherein":[16],"class-agnostic":[17],"prediction":[19,97,140],"methods":[20,33,52,63],"directly":[21,129],"predict":[22],"the":[23,26,38,75,80,92,122,157,165,172],"entire":[27],"point":[28,42,81,102,119],"cloud.":[29],"While":[30],"most":[31],"existing":[32],"rely":[34,64],"on":[35,65],"fully-supervised":[36],"learning,":[37],"manual":[39],"labeling":[40],"cloud":[43,82],"data":[44,71],"is":[45],"laborious":[46],"and":[47,74,117,138,151],"time-consuming.":[48],"Therefore,":[49],"several":[50],"annotation-efficient":[51],"have":[53],"been":[54],"proposed":[55],"to":[56,111,135],"address":[57],"this":[58,88],"challenge.":[59],"Al-though":[60],"effective,":[61],"these":[62,144],"weak":[66],"annotations":[67],"or":[68],"additional":[69],"multi-modal":[70],"like":[72],"images,":[73],"potential":[76],"benefits":[77],"inherent":[78],"sequence":[83],"are":[84],"still":[85],"underexplored.":[86],"To":[87,142],"end,":[89],"we":[90,105,146],"explore":[91],"feasibility":[93],"self-supervised":[95,158,174],"with":[98],"only":[99],"unlabeled":[100],"Li-DAR":[101],"clouds.":[103],"Initially,":[104],"employ":[106],"an":[107],"optimal":[108],"transport":[109],"solver":[110],"establish":[112],"coarse":[113,123,132],"correspondences":[114],"between":[115],"current":[116],"future":[118],"clouds":[120],"as":[121],"pseudo":[124],"labels.":[126],"Training":[127],"models":[128],"using":[130],"such":[131],"labels":[133],"leads":[134],"noticeable":[136],"spatial":[137,150],"temporal":[139,152],"in-consistencies.":[141],"mitigate":[143],"issues,":[145],"introduce":[147],"three":[148],"simple":[149],"regularization":[153],"losses,":[154],"which":[155],"fa-cilitate":[156],"training":[159],"process":[160],"effectively.":[161],"Experimental":[162],"results":[163],"demonstrate":[164],"superiority":[167],"our":[169],"approach":[170],"over":[171],"state-of-the-art":[173],"methods.":[175],"Code":[176],"will":[177],"be":[178],"available":[179],"at":[180],"https://github.com/kwwcv/SelfMotion.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}