{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:46:11Z","timestamp":1772905571487,"version":"3.50.1"},"reference-count":104,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2024YFB4708900"],"award-info":[{"award-number":["2024YFB4708900"]}]},{"name":"Shanghai Municipal Science and Technology Major Project","award":["2025SHZDZX025G01"],"award-info":[{"award-number":["2025SHZDZX025G01"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62225309"],"award-info":[{"award-number":["62225309"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U24A20278"],"award-info":[{"award-number":["U24A20278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62361166632"],"award-info":[{"award-number":["62361166632"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20480"],"award-info":[{"award-number":["U21A20480"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Pattern Anal. Mach. Intell."],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1109\/tpami.2025.3633453","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T18:41:04Z","timestamp":1763404864000},"page":"3250-3267","source":"Crossref","is-referenced-by-count":5,"title":["MADiff: Motion-Aware Mamba Diffusion Models for Hand Trajectory Prediction on Egocentric Videos"],"prefix":"10.1109","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2453-0001","authenticated-orcid":false,"given":"Junyi","family":"Ma","sequence":"first","affiliation":[{"name":"IRMV Lab, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0955-6681","authenticated-orcid":false,"given":"Xieyuanli","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2571-3341","authenticated-orcid":false,"given":"Wentao","family":"Bao","sequence":"additional","affiliation":[{"name":"ACTION Lab, Department of Computer Science and Engineering, Michigan State University, MI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6082-4181","authenticated-orcid":false,"given":"Jingyi","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9959-1634","authenticated-orcid":false,"given":"Hesheng","family":"Wang","sequence":"additional","affiliation":[{"name":"IRMV Lab, School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01850-6"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3007826"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00661"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICME55011.2023.00180"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3393730"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01310"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00752"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3330794"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3308571"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3395778"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00299"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.377"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01879-7"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.399"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01228-1_38"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00328"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01260"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_41"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00989"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/iros60139.2025.11247704"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02153"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01371"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01731"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2017.10.004"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.012"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00371"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01324"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02033"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73337-6_10"},{"key":"ref30","first-page":"13745","article-title":"Epic-kitchens visor benchmark: Video segmentations and object relations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Darkhalil","year":"2022"},{"key":"ref31","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho","year":"2020"},{"key":"ref32","first-page":"1","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2021"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01770"},{"key":"ref34","first-page":"8857","article-title":"Autoregressive denoising diffusion models for multivariate probabilistic time series forecasting","volume-title":"proc. Int. Conf. Mach. Learn.","author":"Rasul","year":"2021"},{"key":"ref35","first-page":"23009","article-title":"Generative time series forecasting with diffusion, denoise, and disentanglement","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2022"},{"key":"ref36","first-page":"1","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","volume-title":"Proc. First Conf. Lang. Model.","author":"Gu","year":"2024"},{"key":"ref37","first-page":"1","article-title":"Discovering task relevant objects and their modes of interaction from multi-user egocentric video","volume-title":"Proc. Brit. Mach. Vis. Conf.","author":"Calway","year":"2015"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.318"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.163"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_8"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00613"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2992889"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3058688"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00641"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3130800.3130883"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00539"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01248"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00277"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01445"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.372"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3372102"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01091"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01842"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/FG59268.2024.10582035"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.82"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00050"},{"key":"ref57","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sohn","year":"2015"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19778-9_37"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-72920-1_23"},{"key":"ref60","first-page":"21466","article-title":"Look Ma, No Hands! Agent-environment factorization of egocentric videos","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chang","year":"2023"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00734"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161247"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01806"},{"key":"ref64","article-title":"Get a grip: Reconstructing hand-object stable grasps in egocentric videos","author":"Zhu","year":"2023"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00814"},{"key":"ref66","article-title":"Diffant: Diffusion models for action anticipation","author":"Zhong","year":"2023"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref68","first-page":"1","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu","year":"2021"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01644"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref71","article-title":"SiMBA: Simplified mamba-based architecture for vision and multivariate time series","author":"Patro","year":"2024"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA240677"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.129178"},{"key":"ref74","article-title":"Bi-Mamba4TS: Bidirectional Mamba for time series forecasting","author":"Liang","year":"2024"},{"key":"ref75","first-page":"1","article-title":"Efficiently modeling long sequences with structured state spaces","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gu","year":"2022"},{"key":"ref76","first-page":"1474","article-title":"Hippo: Recurrent memory with optimal polynomial projections","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Gu","year":"2020"},{"key":"ref77","first-page":"10965","article-title":"Grounded language-image pre-training","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit.","author":"Harold","year":"2022"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000029664.99615.94"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"ref80","first-page":"1","article-title":"Diffuseq: Sequence to sequence text generation with diffusion models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Gong","year":"2023"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.660"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1177\/02783649241273668"},{"key":"ref83","first-page":"4328","article-title":"Diffusion-LM improves controllable text generation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Li","year":"2022"},{"key":"ref84","first-page":"720","article-title":"Scaling egocentric vision: The epic-kitchens dataset","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Damen","year":"2018"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01531-2"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00998"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref89","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref90","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sutskever","year":"2014"},{"key":"ref91","article-title":"Deep Kalman filters","author":"Krishnan","year":"2015"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053164"},{"key":"ref93","first-page":"5670","article-title":"Disentangled sequential autoencoder","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li","year":"2018"},{"key":"ref94","article-title":"Learning stochastic recurrent networks","author":"Bayer","year":"2014"},{"key":"ref95","first-page":"2980","article-title":"A recurrent latent variable model for sequential data","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chung","year":"2015"},{"key":"ref96","first-page":"2207","article-title":"Sequential neural models with stochastic layers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Fraccaro","year":"2016"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00967"},{"key":"ref98","first-page":"23592","article-title":"Probabilistic transformer for time series analysis","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tang","year":"2021"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1007\/BF00130487"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.visres.2005.03.019"},{"key":"ref102","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford","year":"2021"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/WACV57701.2024.00660"}],"container-title":["IEEE Transactions on Pattern Analysis and Machine Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/34\/11372200\/11250770.pdf?arnumber=11250770","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T21:05:54Z","timestamp":1770671154000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11250770\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":104,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tpami.2025.3633453","relation":{},"ISSN":["0162-8828","2160-9292","1939-3539"],"issn-type":[{"value":"0162-8828","type":"print"},{"value":"2160-9292","type":"electronic"},{"value":"1939-3539","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3]]}}}