LightEMMA: Lightweight End-to-End Multimodal Model for Autonomous Driving
Zhijie Qiao, Haowei Li, Zhong Cao, Henry X. Liu
机构
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Department of Civil and Environmental Engineering, University of Michigan(土木与环境工程系,密歇根大学)
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University of Michigan Transportation Research Institute(密歇根大学交通研究所)
Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
Yudong Zhang, Ruobing Xie, Yiqing Huang, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Di Wang, Yu Wang
机构
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Tsinghua University, Tencent(清华大学,腾讯)
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Tencent(腾讯)
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University of Science and Technology Beijing(北京科技大学)
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Tencent, University of Macau(腾讯,澳门大学)
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Tsinghua University(清华大学)
机构
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School of Computer Science and Engineering, Southeast University(东南大学计算机科学与工程学院)
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Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University)(东南大学新一代人工智能技术及其交叉应用关键实验室)
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Foundation Model Research Center, Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所基础模型研究中心)
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School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院)
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Department of Computer Science and Technology, Tsinghua University(清华大学计算机科学与技术系)
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Wuhan University of Technology(武汉理工大学)
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National University of Singapore(新加坡国立大学)
Integrating Prior Observations for Incremental 3D Scene Graph Prediction
Marian Renz, Felix Igelbrink, Martin Atzmueller
机构
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DFKI Niedersachsen(德克萨斯联合研究所(北莱茵威斯特法伦))
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Cooperative and Autonomous Systems, DFKI Niedersachsen(合作与自主系统,DFKI北莱茵威斯特法伦)
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German Research Center for Artificial Intelligence(德国人工智能研究中心)
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Semantic Information Systems, Osnabrück University(语义信息系统,奥斯纳布吕克大学)
专题命中
图文多模态
:multi-modal(abstract);分类 cs.CV、cs.AI
CommentsAccepted at 24th International Conference on Machine Learning and Applications (ICMLA'25)
机构
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Carnegie Mellon University(卡内基梅隆大学)
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University of Nottingham(诺丁汉大学)
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The University of Hong Kong(香港大学)
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The Hong Kong Polytechnic University(香港理工大学)
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Columbia University(哥伦比亚大学)
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University of California, Berkeley(加州大学伯克利分校)
专题命中
图文多模态
:multimodal(abstract);分类 cs.CL
Comments7pages, accepted by ICML TTODLer-FM workshop