SocialTraj: Two-Stage Socially-Aware Trajectory Prediction for Autonomous Driving via Conditional Diffusion Model
机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))
专题命中 多模态生成 :multi-modal(abstract)
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))
专题命中 多模态生成 :multi-modal(abstract)
专题命中 多模态生成 :multi-modal(abstract)
Comments 36 pages, 8 figures, 3 tables, submitted to Elsevier Computerized Medical Imaging and Graphics
机构 * The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))
专题命中 多模态生成 :multimodal(abstract)
专题命中 多模态生成 :multi-modal(abstract)
机构 * Georgia Institute of Technology(佐治亚理工学院)
专题命中 多模态生成 :multi-modal(abstract)
Comments The first two authors contributed equally. Last three authors advised equally. Accepted to CoRL 2025
专题命中 多模态生成 :multimodal(abstract)
机构 * Department of Computer Science, North Carolina State University(计算机科学系,北卡罗来纳州立大学) ; Department of Computer Science and Engineering, University of Louisville(计算机科学与工程系,路易斯维尔大学) ; Department of Electrical and Computer Engineering and Frost Institute for Data Science and Computing, University of Miami(电气与计算机工程系及弗罗斯特数据科学与计算研究所,迈阿密大学)
专题命中 多模态生成 :multi-modal(abstract)
Comments Accepted by IEEE MobiWac 2025
专题命中 多模态生成 :multi-modal(abstract)
机构 * University of Washington(华盛顿大学) ; UC San Diego(圣地亚哥大学) ; Nvidia(英伟达)
专题命中 多模态生成 :multi-modal(abstract)
专题命中 多模态生成 :multi-modal(abstract)
Comments 69 pages, 5 tables, 5 figures
专题命中 多模态生成 :multimodal(abstract)
机构 * The Hong Kong University of Science and Technology(Guangzhou)(香港科技大学(广州)) ; The Hong Kong University of Science and Technology(香港科技大学) ; Shanghai AI Laboratory(上海人工智能实验室)
专题命中 多模态生成 :multimodal(abstract)
Comments Accepted at EMNLP 2025, Findings
专题命中 多模态生成 :multimodal(abstract)
Comments Accepted in IEEE COINS 2025
Journal ref 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS)
机构 * University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) ; University of Florida(佛罗里达大学) ; Providence College(普罗维登斯学院) ; Florida International University(佛罗里达国际大学)
专题命中 多模态生成 :multi-modal(abstract)
Comments Accepted to CoRL 2025 (Conference on Robot Learning)
专题命中 多模态生成 :multimodal(abstract)
Comments This manuscript has been withdrawn due to the need for substantial updates and revisions
机构 * ENS Paris-Saclay, Centre Borelli(巴黎-萨克雷大学ENS分校,Borelli中心) ; Université Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli(巴黎-萨克雷大学,法国国家科学研究中心,巴黎-萨克雷大学ENS分校,Borelli中心) ; ENSIIE(Évry法国的ENSIEE)
专题命中 多模态生成 :multimodal(abstract)
机构 * School of Manufacturing Systems and Networks, Arizona State University(制造系统与网络学院,亚利桑那州立大学)
专题命中 多模态生成 :multimodal(abstract)
Comments 12 pages, 1 figure, 1 table. This paper has been accepted for publication in the proceedings of ASME IDETC-CIE 2025
专题命中 多模态生成 :multi-modal(abstract)
Comments new Subsection 4.1 on Kinetic Langevin diffusion as forward process included; to appear in Annals of Applied Probability; 25 pages, 4 figures; see short YouTube videos https://youtu.be/hQvfpwI0UPk?si=tfL-DrH2EzqCuGSN and https://youtu.be/xjzVPOEkl44?si=fq9l3kZFg8eELYG3 explaining the main results and ideas of proofs
专题命中 多模态生成 :multi-modal(abstract)
机构 * Department of Computational and Systems Biology, University of Pittsburgh(计算与系统生物学系,匹兹堡大学)
专题命中 多模态生成 :multi-modal(abstract)
机构 * Intelligent Autonomous Systems Lab, Computer Science Department, Technical University of Darmstadt, Germany(德意志图林根技术大学计算机科学系智能自主系统实验室) ; Poznan University of Technology, Poland(波兰波兹南技术大学) ; IDEAS, Warsaw, Poland(波兰华沙IDEAS) ; Centre for Cognitive Science, Technical University of Darmstadt, Germany(德意志图林根技术大学认知科学中心) ; German Research Center for AI (DFKI), Research Department: SAIROL, Darmstadt, Germany(德国人工智能研究中心(DFKI)研究部:SAIROL,德意志图林根,德国) ; Hessian.AI, Darmstadt, Germany(黑森AI,德意志图林根,德国)
专题命中 多模态生成 :multimodal(abstract)
机构 * UC San Diego(UC圣地亚哥大学)
专题命中 多模态生成 :multi-modal(abstract)
Comments Project website: https://rnr-dp.github.io
专题命中 多模态生成 :multimodal(abstract)
Comments 9 pages, 6 figures
专题命中 多模态生成 :multimodal(abstract)
Comments 9 pages,5 figures, 1 table, accepted by IEEE Network in Aug. 2025
机构 * Department of Data Science, EURECOM, France(数据科学系,EURECOM,法国)
专题命中 多模态生成 :multimodal(abstract)
机构 * Dali University(大理大学) ; Bandırma Onyedi Eylül University(班迪尔马第十七个九月大学)
专题命中 多模态生成 :cross-modal(abstract)
专题命中 多模态生成 :multi-modal(abstract)
Comments This nine pages paper has been accepted for publication in Proceedings of the 33rd ACM International Conference on Multimedia (ACM MM 2025). This is the author's version which has not been fully edited and content may change prior to final publication. Citation information: DOI https://doi.org/10.1145/3746027.3755828
专题命中 多模态生成 :multimodal(abstract)
Comments 10 pages, 6 figures, 1 table
Journal ref Nature Communications 16, 7213 (2025)
专题命中 多模态生成 :multimodal(abstract)
机构 * EverEx ; KAIST(韩国科学技术院)
专题命中 多模态生成 :multimodal(abstract)