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高校专区

University of Chinese Academy of Sciences(中国科学院大学)

2026-03-18 至 2026-03-18 共收录 7
2603.16620 2026-03-18 cs.CV

TCATSeg: A Tooth Center-Wise Attention Network for 3D Dental Model Semantic Segmentation

TCATSeg:一种针对3D牙科模型语义分割的牙齿中心导向注意力网络

Qiang He, Wentian Qu, Jiajia Dai, Changsong Lei, Shaofeng Wang, Feifei Zuo, Yajie Wang, Yaqian Liang, Xiaoming Deng, Cuixia Ma, Yong-Jin Liu, Hongan Wang

机构 * Institute of Software, Chinese Academy of Sciences(中国科学院软件研究所) University of Chinese Academy of Sciences(中国科学院大学) Department of Computer Science and Technology, Tsinghua University(清华大学计算机科学与技术系) Beijing Stomatological Hospital, Capital Medical University(首都医科大学北京 stomatological Hospital) LargeV Instrument Corporation, Ltd.(LargeV仪器有限公司)

AI总结 本文提出TCATSeg网络,结合局部几何特征与全局语义上下文,通过引入物理意义的稀疏超点提升分割精度,并通过400个牙科模型数据集验证方法有效性。

Comments 6 pages, 4 figures, ICASSP 2026

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2603.16463 2026-03-18 cs.AI cs.HC

Follow the Clues, Frame the Truth: Hybrid-evidential Deductive Reasoning in Open-Vocabulary Multimodal Emotion Recognition

循证推断,还原真相:面向开放词汇多模态情感识别的混合证据推理

Yu Liu, Lei Zhang, Haoxun Li, Hanlei Shi, Yuxuan Ding, Leyuan Qu, Taihao Li

机构 * Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China(杭州高等研究 institute,中国科学院大学,杭州,中国)

AI总结 本文提出HyDRA架构,通过混合证据推理解决多模态情感识别中的歧义问题,通过强化学习优化推理过程,提升在复杂场景下的识别性能。

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2603.16133 2026-03-18 cs.CV

DualPrim: Compact 3D Reconstruction with Positive and Negative Primitives

DualPrim: 基于正负原语的紧凑3D重建

Xiaoxu Meng, Zhongmin Chen, Bo Yang, Weikai Chen, Weixiao Liu, Lin Gao

机构 * Independent Researcher(独立研究者) Waymo LLC(Waymo公司) Lucid Motors Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所) School of Advanced Interdisciplinary Science, University of Chinese Academy of Sciences(中国科学院大学先进交叉学科学院)

AI总结 DualPrim通过正负超球体实现紧凑且结构化的3D重建,提升拓扑感知建模能力,实现端到端学习和无缝导出。

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2603.16088 2026-03-18 cs.IR cs.AI

RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems

RecBundle:可解释推荐系统的新一代几何范式

Hui Wang, Tianzhu Hu, Mingming Li, Xi Zhou, Chun Gan, Jiao Dai, Jizhong Han, Songlin Hu, Tao Guo

机构 * Institute of Information Engineering, Chinese Academy of Sciences(中国科学院信息工程研究所) School of Cyberspace Security, University of Chinese Academy of Sciences(中国科学院大学网络空间安全学院)

AI总结 RecBundle通过引入纤维丛理论,将用户交互网络作为基础流形,动态偏好作为纤维,实现推荐系统中用户协作与内容演化的几何建模,提出信息茧房和进化偏见的量化机制。

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2511.10376 2026-03-18 cs.CV cs.RO

MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied Navigation

MSGNav: 释放多模态3D场景图在零样本具身导航中的潜力

Xun Huang, Shijia Zhao, Yunxiang Wang, Xin Lu, Wanfa Zhang, Rongsheng Qu, Weixin Li, Yunhong Wang, Chenglu Wen

机构 * Fujian Key Laboratory of Urban Intelligent Sensing and Computing(福建智能感知与计算重点实验室) Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China(多媒体可信感知与高效计算重点实验室) Beihang University(北航) Nanyang Technological University(南洋理工大学) University of Chinese Academy of Sciences(中国科学院大学) Zhongguancun Academy(中关村学院)

AI总结 MSGNav通过多模态3D场景图实现零样本具身导航,引入关键子图选择模块、自适应词汇更新模块和闭环推理模块,解决开放词汇和视觉证据保留问题,实验表明其在GOAT-Bench和HM3D-ObjNav基准上表现优异。

Comments 18 pages, Accepted by CVPR 2026

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2411.16253 2026-03-18 cs.CV

Open-Vocabulary Octree-Graph for 3D Scene Understanding

开放词汇八叉树图用于3D场景理解

Zhigang Wang, Yifei Su, Chenhui Li, Dong Wang, Yan Huang, Bin Zhao, Xuelong Li

机构 * Northwestern Polytechnical University(西北工业大学) Shanghai AI Laboratory(上海人工智能实验室) University of Chinese Academy of Sciences(中国科学院大学) CASIA TeleAI

AI总结 本文提出Octree-Graph,通过CGSM和IFA算法获取3D实例及语义特征,构建适应性八叉树结构以高效表示场景,实验表明其在多种任务中具有广泛适用性和有效性。

Comments Accepted by ICCV25. 11 pages, 7 figures

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2603.15696 2026-03-18 cs.LG cs.AI

Tackling Over-smoothing on Hypergraphs: A Ricci Flow-guided Neural Diffusion Approach

应对超图上的过平滑问题:一种基于里奇流的神经扩散方法

Mengyao Zhou, Zhiheng Zhou, Xiao Han, Xingqin Qi, Guanghui Wang, Guiying Yan

机构 * Academy of Mathematics and Systems Science, Chinese Academy of Sciences(中国科学院数学与系统科学研究院) University of Chinese Academy of Sciences(中国科学院大学) School of Mathematics and Statistics, Shandong University(山东大学数学与统计学院) School of Artificial Intelligence, Beihang University(北航人工智能学院) School of Mathematics, Shandong University(山东大学数学学院)

AI总结 本文提出基于里奇流的超图神经扩散方法,通过调节节点特征演化缓解过平滑问题,实验表明其在多个数据集上表现优异。

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