{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T16:32:54Z","timestamp":1773246774523,"version":"3.50.1"},"reference-count":97,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272337"],"award-info":[{"award-number":["62272337"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Multimedia"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tmm.2025.3543035","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T13:23:03Z","timestamp":1739884983000},"page":"5575-5590","source":"Crossref","is-referenced-by-count":3,"title":["DCDL: Dual Causal Disentangled Learning for Zero-Shot Sketch-Based Image Retrieval"],"prefix":"10.1109","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7129-1456","authenticated-orcid":false,"given":"Qiang","family":"Li","sequence":"first","affiliation":[{"name":"School of Microelectronics, Tianjin University, Tianjin, China"}]},{"given":"Shihao","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Microelectronics, Tianjin University, Tianjin, China"}]},{"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing Research Institute of Electronics Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7444-6115","authenticated-orcid":false,"given":"Shaojin","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0578-8138","authenticated-orcid":false,"given":"Weizhi","family":"Nie","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5755-9145","authenticated-orcid":false,"given":"Anan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2013.02.005"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.164"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-016-0932-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2568138"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_19"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00523"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00228"},{"key":"ref8","article-title":"Zero-shot synthesis with group-supervised learning","author":"Ge","year":"2020"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00840"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00271"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00555"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.09.104"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1587\/transinf.E96.D.340"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2003.1238663"},{"key":"ref16","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Krizhevsky","year":"2012"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00095"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127731"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2024.3384675"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1049\/cit2.12326"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.110302"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2023.104756"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3357939"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2894498"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2562624"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3559758"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00376"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00099"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/WACV45572.2020.9093402"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_28"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2022.103412"},{"key":"ref33","first-page":"24983","article-title":"Disentangled multiplex graph representation learning","volume-title":"Proc. 40th Int. Conf. Mach. Learn.","author":"Mo","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108528"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CIC58953.2023.00027"},{"key":"ref36","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref37","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Radford","year":"2021"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/tpami.2016.2577031"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00852"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/759"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3581783.3611762"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110584"},{"key":"ref43","article-title":"AesBench: An expert benchmark for multimodal large language models on image aesthetics perception","author":"Huang","year":"2024"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2016.2640762"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3351062"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3075997"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3217449"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/arts11050083"},{"key":"ref49","article-title":"Learning factorized multimodal representations","author":"Tsai","year":"2019"},{"key":"ref50","article-title":"Disentangling by partitioning: A representation learning framework for multimodal sensory data","author":"Hsu","year":"2018"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01769"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9860014"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102516"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3003779"},{"key":"ref55","first-page":"515","article-title":"Learning to decompose and disentangle representations for video prediction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hsieh","year":"2018"},{"key":"ref56","first-page":"4417","article-title":"Unsupervised learning of disentangled representations from video","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Denton","year":"2017"},{"key":"ref57","first-page":"3625","article-title":"Learning disentangled representations of videos with missing data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Comas","year":"2020"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01149"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3042055"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X16001837"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3089017"},{"key":"ref62","first-page":"859","article-title":"Nonlinear ICA using auxiliary variables and generalized contrastive learning","volume-title":"Proc. 22nd Int. Conf. Artif. Intell. Statist.","author":"Hyvarinen","year":"2019"},{"key":"ref63","first-page":"12979","article-title":"Contrastive learning inverts the data generating process","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","author":"Zimmermann","year":"2021"},{"key":"ref64","first-page":"669","article-title":"Causal structure discovery between clusters of nodes induced by latent factors","volume-title":"Proc. 1st Conf. Causal Learn. Reasoning","author":"Squires","year":"2022"},{"key":"ref65","first-page":"9551","article-title":"Causal discovery from soft interventions with unknown targets: Characterization and learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jaber","year":"2020"},{"key":"ref66","article-title":"Anchored discrete factor analysis","author":"Halpern","year":"2015"},{"key":"ref67","first-page":"24370","article-title":"Identification of linear non-gaussian latent hierarchical structure","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","author":"Xie","year":"2022"},{"key":"ref68","first-page":"22822","article-title":"Identification of partially observed linear causal models: Graphical conditions for the non-gaussian and heterogeneous cases","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Adams","year":"2021"},{"key":"ref69","article-title":"Identifying weight-variant latent causal models","author":"Liu","year":"2022"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2023.3279990"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/taffc.2024.3406710"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22210"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72114-4_16"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.93"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/137"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6993"},{"key":"ref77","first-page":"22479","article-title":"Variational interaction information maximization for cross-domain disentanglement","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Hwang","year":"2020"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3020383"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475676"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/158"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3123315"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/153"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20136"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548382"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00731"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02236"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110452"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102398"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging10040079"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29588"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1310.4546"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.45"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.290"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01267-0_42"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.592"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00077"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00980"}],"container-title":["IEEE Transactions on Multimedia"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6046\/10844992\/10891621.pdf?arnumber=10891621","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,28]],"date-time":"2025-08-28T18:10:33Z","timestamp":1756404633000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10891621\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":97,"URL":"https:\/\/doi.org\/10.1109\/tmm.2025.3543035","relation":{},"ISSN":["1520-9210","1941-0077"],"issn-type":[{"value":"1520-9210","type":"print"},{"value":"1941-0077","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}