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

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2607.12557 2026-07-15 cs.CV 新提交

Gaussian Mixture Modeling for Event-Aware Visual Allocation in Long Video Understanding

用于长视频理解中事件感知视觉分配的高斯混合模型

Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Jun Gao, Bing Li, Weiming Hu

机构 * Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information, CASIA(中国科学院自动化所多模态信息超智能安全北京市重点实验室) State Key Laboratory of Multimodal Artificial Intelligence Systems, CASIA(中国科学院自动化所多模态人工智能系统国家重点实验室) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) Hello Group(未知(保留英文)) School of Information Science and Technology, ShanghaiTech University(上海科技大学信息科学与技术学院)

AI总结 针对长视频理解中视觉分配问题,提出GMM-EVA方法,利用高斯混合模型建模事件级结构,采用差异化分配策略,在多个长视频基准实验中显著优于均匀采样,以约一半视觉令牌预算达可比性能,凸显高效性。

Comments accepted at PRCV 2026

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2607.12429 2026-07-15 cs.CV 新提交

More Than Where You Are: Learning Semantics, Structure, and Geometry from Cross-View Localization

不仅仅是你在哪里:从跨视图定位中学习语义、结构和几何

Mao Chen, Xiangkai Zhang, Zhiyong Liu, Chuankai Liu, Xu Yang

机构 * Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) University of Chinese Academy of Sciences(中国科学院大学) Beijing Aerospace Control Center(北京航天飞行控制中心)

AI总结 研究如何在极端视角变化下通过跨视图定位让模型学习语义、结构和几何。提出CROSS框架,克服现有方法局限,经实验验证该框架在跨视图定位中性能最优,能有效学习多方面内容。

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2607.11914 2026-07-15 cs.NE cs.AI 新提交

Burst Spiking Neural Networks

突发脉冲神经网络

Jiahong Zhang, Sijun Shen, Man Yao, Han Xu, Mingqiang Huang, Yonghong Tian, Bo Xu, Guoqi Li

机构 * Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) State Key Laboratory of Media Convergence and Communication, Communication University of China(中国传媒大学媒体融合与传播国家重点实验室) School of Artificial Intelligence, Wuhan University(武汉大学人工智能学院) Peng Cheng Laboratory(鹏城实验室) Institute for Artificial Intelligence, Peking University(北京大学人工智能研究院)

AI总结 研究SNN的准确性 - 鲁棒性问题,提出基于突发增强脉冲神经元和动态权重约束机制的BuSNN,通过理论分析和实验表明其在准确性、鲁棒性及低功耗方面优势显著,推进了SNN在相关应用中的可行性。

Comments 18 pages, 21 figures, 1 supplementary material PDF, submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence

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2607.11638 2026-07-15 cs.RO 版本更新

DA-Nav: Direction-Aware City-Scale Vision-Language Navigation

DA-Nav:方向感知的城市规模视觉语言导航

Ye Yuan, Kehan Chen, Xinqiang Yu, Wentao Xu, Heng Wang, Libo Huang, Chuanguang Yang, Yan Huang, Jiawei He, Zhulin An

机构 * School of Information Science and Technology, ShanghaiTech University(上海科技大学信息科学与技术学院) Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所) State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所人工智能安全国家重点实验室) National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所模式识别国家重点实验室) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) XYZ Embodied AI(XYZ具身人工智能)

AI总结 研究城市规模户外导航难题,提出DA-Nav框架,利用商业导航工具方向指示,经思维链推理实现轨迹恢复,引入ReDA数据集。实验表明其在未见环境成功率高,优于现有方法,还能适应多种机器人实现稳定户外导航。

Comments 9 pages, 8 figures

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2602.05513 2026-07-15 cs.RO cs.AI 版本更新

DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter

DECO:解耦多模态扩散变压器用于配备插件触觉适配器的双臂灵巧操作

Xukun Li, Yu Sun, Lei Zhang, Bosheng Huang, Yibo Peng, Yuan Meng, Haojun Jiang, Shaoxuan Xie, Guocai Yao, Alois Knoll, Zhenshan Bing, Xinlong Wang, Zhenguo Sun

机构 * Beijing Academy of Artificial Intelligence, Beijing, China(北京人工智能研究院) School of Computation, Information and Technology, Technical University of Munich, Garching, Germany(慕尼黑技术大学计算与信息学院) Department of Shenyang Institute of Computing Technology, University of Chinese Academy of Sciences, Beijing, China(中国科学院沈阳计算技术研究所部门) State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China(新型软件技术国家重点实验室) Department of Computer Science and Technology, Tsinghua University, Beijing, China(清华大学计算机科学与技术系)

AI总结 DECO通过解耦多模态输入和触觉适配器,实现了双臂灵巧操作的高效整合与高成功率

Comments 17 pages, 8 figures. Project Page: https://baai-humanoid.github.io/DECO-webpage/

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2312.17670 2026-07-15 cs.CV cs.LG q-bio.QM q-bio.TO 版本更新

The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

TopCoW挑战——用于CT和MR血管造影的拓扑感知Willis环分割

Kaiyuan Yang, Fabio Musio, Yihui Ma, Norman Juchler, Johannes C. Paetzold, Rami Al-Maskari, Luciano Höher, Hongwei Bran Li, Ibrahim Ethem Hamamci, Anjany Sekuboyina, Suprosanna Shit, Houjing Huang, Chinmay Prabhakar, Ezequiel de la Rosa, Bastian Wittmann, Diana Waldmannstetter, Florian Kofler, Fernando Navarro, Martin J. Menten, Ivan Ezhov, Daniel Rueckert, Iris N. Vos, Ynte M. Ruigrok, Birgitta K. Velthuis, Hugo J. Kuijf, Pengcheng Shi, Wei Liu, Ting Ma, Maximilian R. Rokuss, Yannick Kirchhoff, Fabian Isensee, Klaus Maier-Hein, Chengcheng Zhu, Huilin Zhao, Philippe Bijlenga, Julien Hämmerli, Catherine Wurster, Laura Westphal, Jeroen Bisschop, Elisa Colombo, Hakim Baazaoui, Hannah-Lea Handelsmann, Andrew Makmur, James Hallinan, Amrish Soundararajan, Benedikt Wiestler, Jan S. Kirschke, Evamaria O. Riedel, Roland Wiest, Emmanuel Montagnon, Laurent Letourneau-Guillon, Kwanseok Oh, Dahye Lee, Orhun Utku Aydin, Adam Hilbert, Jana Rieger, Dimitrios Rallios, Satoru Tanioka, Alexander Koch, Dietmar Frey, Abdul Qayyum, Moona Mazher, Steven Niederer, Nico Disch, Julius C. Holzschuh, Dominic LaBella, Francesco Galati, Daniele Falcetta, Maria A. Zuluaga, Chaolong Lin, Haoran Zhao, Zehan Zhang, Minghui Zhang, Xin You, Hanxiao Zhang, Guang-Zhong Yang, Yun Gu, Sinyoung Ra, Jongyun Hwang, Hyunjin Park, Junqiang Chen, Marek Wodzinski, Henning Müller, Nesrin Mansouri, Florent Autrusseau, Cansu Yalcin, Rachika E. Hamadache, Clara Lisazo, Joaquim Salvi, Adrià Casamitjana, Xavier Lladó, Uma Maria Lal-Trehan Estrada, Valeriia Abramova, Luca Giancardo, Arnau Oliver, Paula Casademunt, Adrian Galdran, Matteo Delucchi, Oscar Camara, Jialu Liu, Haibin Huang, Yue Cui, Zehang Lin, Yusheng Liu, Shunzhi Zhu, Tatsat R. Patel, Adnan H. Siddiqui, Vincent M. Tutino, Maysam Orouskhani, Huayu Wang, Mahmud Mossa-Basha, Yuki Sato, Sven Hirsch, Susanne Wegener, Bjoern Menze

机构 * Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland Institute of Computational Life Sciences, Zurich University of Applied Sciences (ZHAW), Waedenswil, Switzerland Department of Neuroradiology, University Hospital of Zurich, Zurich, Switzerland Department of Neurosurgery, Zhongnan Hospital of Wuhan University, Wuhan, China Department of Radiology at Weill Cornell Medicine, Cornell University, New York, USA Institute for Tissue Engineering School of Computation, Information Technology, Technical University of Munich, Germany Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, USA School of Medicine Health, TUM Klinikum, Technical University of Munich, Germany Munich Center for Machine Learning, Munich, Germany Department of Computing, Imperial College London, London, UK Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands Department of Neurology Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands Electronic \& Information Engineering School, Harbin Institute of Technology (Shenzhen), China Peng Cheng Laboratory, Shenzhen, China Division of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany Faculty of Mathematics Computer Science, Heidelberg University, Germany Helmholtz Imaging, German Cancer Research Center, Heidelberg, Germany Data Science School for Health, Karlsruhe/Heidelberg, Germany Learning Group, Department of Radiation Oncology, Heidelberg University Hospital Department of Radiology, University of Washington, Seattle, WA, USA Department of Radiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Department of Clinical Neurosciences, Division of Neurosurgery, Geneva University Hospitals, Geneva, Switzerland Department of Neurology, University Hospital of Zurich, Zurich, Switzerland Department of Physiology, University of Toronto, Canada Department of Neurosurgery, University Hospital of Zurich, Zurich, Switzerland Department of Diagnostic Imaging, National University Hospital, Singapore University of Chicago, USA Department of Diagnostic Interventional Neuroradiology, University Hospital Berne University of Berne, Berne, Switzerland Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montréal, Québec, Canada DEEPNOID Inc., Seoul, South Korea Department of Artificial Intelligence, Korea University, Seoul, South Korea Charité Lab for AI in Medicine (CLAIM), Charité Universitätsmedizin Berlin, Berlin, Germany Lung Institute, Faculty of Medicine, Imperial College London, London, UK Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA Institute of Medical Technology, Peking University Health Science Center, Beijing, China Hangzhou Genlight MedTech Co., Ltd., China Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China Department of Automation, Shanghai Jiao Tong University, Shanghai, China Department of Artificial Intelligence, Sungkyunkwan University, Seoul, South Korea Department of Electrical Computer Engineering, Sungkyunkwan University, Seoul, South Korea Shanghai MediWorks Precision Instruments Co., Ltd., China Institute of Informatics, HES-SO Valais-Wallis, Switzerland Department of Measurement Electronics, AGH University of Krakow, Poland Laboratoire de Thermique et Energie de Nantes (LTeN), Université Nantes, Polytech’Nantes, Nantes, France Research Institute of Computer Vision Center for Precision Health, McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, USA Physense, BCN-Medtech, Department of Communication Information Technologies, Universitat Pompeu Fabra, Barcelona, Spain Department of Mathematical Modeling Machine Learning, University of Zurich, Zurich, Switzerland Laboratory of Brain Atlas Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China School of Computer Information Engineering, Xiamen University of Technology, Xiamen, China Vascular Research Center, University at Buffalo, NY, USA Department of Pathology Anatomical Sciences, University at Buffalo, NY, USA Department of Neurosurgery, University at Buffalo, NY, USA LPIXEL Inc., Tokyo, Japan

AI总结 组织TopCoW基准挑战,发布含125对MRA和CTA扫描的注释数据集,参与者提交CoW分割和变体分类算法,经评估,最佳算法在多任务中表现出色,证明CoW分割算法对下游临床应用有可解释性效用。

Comments Summary paper for the TopCoW Challenge: 4 figures, 1 table, and supplementary material in appendix. Accepted for publication in NEJM AI. Datasets and best-performing algorithm Dockers are available at https://zenodo.org/records/15692630 and https://zenodo.org/records/15665435

Journal ref NEJM AI 2026;3(8)

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2505.16157 2026-07-15 cs.CV 版本更新

Fast and Accurate Image Restoration and Generation with Rank Enhanced Linear Attention

基于秩增强线性注意力的快速准确图像恢复与生成

Yuang Ai

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

AI总结 研究旨在解决Transformer自注意力二次复杂度问题,提出秩增强线性注意力(RELA)及高效视觉Transformer(LAformer),通过集成深度卷积丰富特征表示,经实验验证LAformer在图像恢复和生成任务中性能优且计算高效。

Comments Code: https://github.com/shallowdream204/LAformer

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2607.11581 2026-07-14 cs.CV 新提交

Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO

作为自身评论家的智能体:通过循环组相对策略优化统一区域理解与定位

Xin Zhang, Haochen Wang, Yikang Zhou, Jason Li, Robby T. Tan

机构 * National University of Singapore(新加坡国立大学) University of Chinese Academy of Sciences(中国科学院大学) Nanyang Technological University(南洋理工大学) Wuhan University(武汉大学)

AI总结 研究针对多模态大语言模型的区域理解与定位问题,提出循环组相对策略优化框架CycleGRPO,利用任务对偶性构建自我评估范式,仅需区域输入,通过质量感知奖励评估字幕,在多基准测试中提升能力,为推进MLLMs像素级能力提供新途径。

Comments Accepted to ECCV 2026

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2607.11560 2026-07-14 cs.CV cs.AI 新提交

Technical Report on the CVPR 2026@AdvML Workshop Challenge

关于CVPR 2026@AdvML研讨会挑战赛的技术报告

Tianyuan Zhang, Zonglei Jing, Jiangfan Liu, Ligong Zhang, Ke Ma, Chengzhi Sun, Xiaohai Xu, Zhirui Zhang, Qianqian Xu, Qingming Huang, Hanyu Fang, Junhua Liu, Zheng Wang, Xiaoliang Liu, Yuanbo Li, Shuai Gui, Bin Wang, Menghe Zheng, Jing Nie, Hanyang Meng, Zeyang Zhang, Xiang Zhang, Yongxuan Zhu, Rui Ding, Hainan Li, Yongkang Zhang, Zhilei Zhu, Xianglong Kong, Jin Hu, Zonghao Ying, Yisong Xiao, Lei Chen, Haotong Qin, Jiakai Wang, Aishan Liu, Ruikai Li, Julia Karbing, Yinpeng Dong, Zhenfei Yin, Shao Jing, Xia Hu, Jingyi Xu, Juntao Dai, Xinyun Chen, Vishal M. Patel, Xianglong Liu, Dawn Song, Alan Yuille, Philip H. S. Torr, Dacheng Tao

机构 * Beihang University(北京航空航天大学) University of Chinese Academy of Sciences(中国科学院大学) Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所) Tongji University(同济大学) iFLYTEK Co., Ltd.(科大讯飞股份有限公司) Anhui Laboratory for Safe Artificial Intelligence in the Yangtze River Delta(长三角安全人工智能安徽实验室) Wenzhou Business College(温州商学院) Jiangnan University(江南大学) Guangzhou City University of Technology(广州理工学院) Inceptio Technology(智元机器) Institute of Dataspace(数据空间研究所) Zhongguancun Laboratory(中关村实验室) Tsinghua University(清华大学) ETH Zürich(苏黎世联邦理工学院) University of Oxford(牛津大学) Shanghai AI Laboratory(上海人工智能实验室) BAAI(北京智源人工智能研究院) Meta Johns Hopkins University(约翰·霍普金斯大学) University of California, Berkeley(加州大学伯克利分校) Nanyang Technological University(南洋理工大学)

AI总结 介绍CVPR 2026@AdvML研讨会针对自动驾驶VLAs的对抗性多模态攻击挑战赛,基于多视图视觉问答,参赛者要生成对抗图像和文本扰动。阐述任务设计等,研究领先提交作品发现后缀惩罚等模式,为多模态自动驾驶系统相关工作提供参考。

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2607.11526 2026-07-14 cs.LG cs.AI 新提交

AutoMatBench: An Automatic Optimization Toolkit for the Acceleration of Material Properties Prediction Benchmarking

AutoMatBench:用于加速材料性能预测基准测试的自动优化工具包

Hongxiao Li, Wanling Gao

机构 * Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China(中国科学院计算技术研究所) University of Chinese Academy of Sciences, Beijing, China(中国科学院大学)

AI总结 研究针对MatBench缺乏反映AI预测模型在分布外材料数据上性能能力的问题,结合MatBench流程与OOD性能评估研究,提出自动工具包AutoMatBench,经实验验证其能节省成本并获相似结果,对新材料发现有积极贡献。

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2607.11433 2026-07-14 cs.AI 新提交

Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA

全决策:一种用于全模态问答的渐进式证据状态智能体系统

Ming Ma, Yi Zhu, Yiran Zhong, Feida Zhu, Weigao Sun, Junhan Shi, Lingrui Mei, Tianming Yang, Steven Hoi

机构 * Institute of Neuroscience, Chinese Academy of Sciences(中国科学院神经科学研究所) University of Chinese Academy of Sciences(中国科学院大学) Tongyi Lab, Alibaba Group(阿里巴巴集团通义实验室) Tsinghua University(清华大学) Institute of Computing Technology, Chinese Academy of Sciences(中国科学院计算技术研究所)

AI总结 研究全模态问答中证据分散问题,提出全决策系统,将问答转化为证据闭合过程,维护结构化证据状态,通过确定性状态更新处理异构观察,提升了准确率,验证了证据状态控制在多步证据寻求中的作用。

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2607.11397 2026-07-14 cs.RO 新提交

WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos

WALA:从带动作标签的演示和无动作视频中学习可执行的潜在动作

Jiahao Liu, Zhongpu Xia, Shuai Tian, Huangrui Li, Yuhang Zheng, Ning Ma, Xin Fu, Xiaotian Liu, Jing Li, Yixian Li, ShangQing Zhou, Zebin Xing, Linbo Wang, Chaoyue Li, Haoran Li, Dongbin Zhao

机构 * CASIA(中国科学院自动化所) Anyverse Dynamics(Anyverse动力学公司) UCAS(中国科学院大学) NUS(新加坡国立大学) XJYLU(西安交通大学利物浦大学)

AI总结 研究从带动作标签演示和无动作视频学习可执行潜在动作的问题,提出WALA框架,先预训练语义几何潜在动作模型,策略训练时编码器和解码器协同,由多方面联合监督潜在动作,实验证明其提升了机器人策略性能和泛化能力。

Comments Project page: https://liujiahao2077.github.io/WALA.github.io

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2607.11358 2026-07-14 cs.CL 新提交

RefineEvo: Planning-Guided Heuristic Evolution with Bidirectional Experience

RefineEvo:基于双向经验的规划引导启发式进化

Yang Wu, Junran Pan, Yifan Zhang, Ning Xu, Fanshuo Zeng, Jian Cheng

机构 * C$^2$DL, Institute of Automation, Chinese Academy of Sciences(C2DL,自动化研究所,中国科学院) School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing(人工智能学院,中国科学院大学,北京) University of Chinese Academy of Sciences, Nanjing(中国科学院大学,南京)

AI总结 针对自动启发式设计中基于LLM方法的不足,提出RefineEvo框架,通过规划器和反射器,结合双向经验池动态调度进化算子,在经典组合优化基准测试中表现出色,提升了解质量和令牌效率。

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2607.11281 2026-07-14 cs.CV 新提交

The Devil Is in the Leakage: A Disentangled Dual-Purification Framework for High-Fidelity Hairstyle Transfer

问题出在泄漏中:用于高保真发型转移的解缠双净化框架

Jijie Li, Jiankuo Zhao, Xiangyu Zhu, Zhen Lei

机构 * SAI, UCAS(中国科学院大学 模式识别国家重点实验室) MAIS, CASIA(中国科学院自动化所 模式识别国家重点实验室) CAIR, HKSIS, CAS(中国科学院香港创新研究院 计算机与信息工程实验室) SCSE, FIE, M.U.S.T(澳门科技大学 资讯科技学院)

AI总结 研究发型转移中参考发型与源身份纠缠及现有方法泄漏问题,提出双净化框架,含对抗发型净化和对比几何净化两个正则化器,实现高保真、身份保留的发型转移并达领先性能。

Comments Accepted by ACM MM 2026

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2607.10994 2026-07-14 cs.LG 新提交

A Multi-Agent Framework for Zero-Dimensional Reduced-Order Model Planning

用于零维降阶模型规划的多智能体框架

Bingteng Sun, Hao Yin, Yiling Chen, Renjie Xiao, Lei Xie, Shanyou Wang, Ruonan Wang, Shubao Chen, Qingzong Xu, Lin Lu, Qiang Du, Junqiang Zhu

机构 * Institute of Engineering Thermophysics, Chinese Academy of Sciences(中国科学院工程热物理研究所) National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine(先进轻型燃气轮机技术重点实验室) University of Chinese Academy of Sciences(中国科学院大学) Qingdao Institute of Aeronautical Technology(青岛航空技术研究院) Nanjing Future Energy System Research Institute(南京未来能源系统研究院)

AI总结 本文针对复杂零维降阶模型规划中依赖人工、传统方法局限等问题,提出多智能体架构Z-COPA,其核心是专用图表示法,将规划转化为图结构优化问题,经多基准测试验证,该框架性能卓越且打破传统范式,提供新规划技术方法。

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2607.10840 2026-07-14 cs.CV 新提交

OmniX: Any-view and Any-time 4D Reconstruction via Feed-forward Trajectory Fields

OmniX:通过前馈轨迹场进行任意视角和任意时刻的4D重建

Yanqin Jiang, Tengfei Wang, Zhengwei Wang, Chenjie Cao, Junta Wu, Wenhan Luo, Weiming Hu, Jin Gao, Chunchao Guo

机构 * Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) University of Chinese Academy of Sciences(中国科学院大学) Tencent Hunyuan(腾讯混元) HKUST(香港科技大学) Beijing Key Laboratory of Super Intelligent Security of Multi-Modal Information(多模态信息超智能安全北京重点实验室) School of Information Science and Technology, ShanghaiTech University(上海科技大学信息科学与技术学院)

AI总结 针对前馈4D重建方法局限,提出OmniX框架,通过解耦动态运动建模与静态几何预测,利用动态令牌和3D运动结构生成轨迹场,并构建数据引擎和数据集,在多任务上取得领先性能。

Comments Accepted by ECCV 2026, project page: https://omnix4d.github.io/

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2607.10789 2026-07-14 cs.AI 新提交

Imaging-101: Benchmarking LLM Coding Agents on Scientific Computational Imaging

成像101:在科学计算成像上对大语言模型编码智能体进行基准测试

Siyi Chen, Jiahe Ying, Yixuan Jia, Yuxuan Gu, Enze Ye, Weimin Bai, Zhijun Zeng, Shaochi Ren, Binhong Gao, Yubing Li, Tianhan Zhang, He Sun

机构 * College of Future Technology and the National Biomedical Imaging Center, Peking University(北京大学未来技术学院和国家生物医学成像中心) AI for Science Institute (AISI)(科学人工智能研究所) University of Michigan(密歇根大学) State Key Laboratory of Acoustics and Marine Information, Institute of Acoustics, Chinese Academy of Sciences(中国科学院声学研究所声场声信息国家重点实验室) University of Chinese Academy of Sciences(中国科学院大学) School of Astronautics, Beihang University(北京航空航天大学宇航学院) Key Laboratory of Spacecraft Design Optimization and Dynamic Simulation Technologies, Ministry of Education(教育部航天器设计优化与动态仿真技术重点实验室)

AI总结 研究针对计算成像构建正确重建管道费力的问题,引入含57个任务的Imaging-101基准及三个评估轨道,评估七个前沿大语言模型,发现应用编码智能体于计算成像存在系统性挑战,指出技能增强、领域专业化智能体是可靠成像辅助的途径。

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2607.10649 2026-07-14 cs.RO cs.AI 新提交

Coverage Path Planning: Classical Foundations, Recent Advances, and Future Directions

覆盖路径规划:经典基础、最新进展与未来方向

Zongyuan Shen, Shalabh Gupta, Shancheng Zhao, Dehua Zhou, Gao Wang, Zhongqiang Ren, Yaming Ou, Yikui Zhai, C. L. Philip Chen

机构 * College of Information Science and Technology, Jinan University(暨南大学信息科学技术学院) Department of Electrical and Computer Engineering, University of Connecticut(康涅狄格大学电气与计算机工程系) Global College, Shanghai Jiao Tong University(上海交通大学密西根学院) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) School of Electronics and Information Engineering, Wuyi University(五邑大学电子与信息工程学院) School of Computer Science and Engineering, South China University of Technology(华南理工大学计算机科学与工程学院)

AI总结 本文全面综述2015至2026年125篇覆盖路径规划(CPP)代表性作品,结合经典方法展示其演变。CPP方法分六类,总结各类规划公式、算法等,分析相关因素对问题的塑造,讨论开放挑战,提供了发展概况与未来研究方向。

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2607.10402 2026-07-14 cs.CR cs.AI cs.SI 新提交

Large Language Models in Misinformation Ecosystems: Misuse, Defense, and Vulnerability

错误信息生态系统中的大语言模型:滥用、防御与脆弱性

Lingwei Wei, Dou Hu, Wei Zhou, Songlin Hu, Philip S. Yu

机构 * Institute of Information Engineering, Chinese Academy of Sciences(中国科学院信息工程研究所) University of Illinois Chicago(伊利诺伊大学香槟分校) State Key Laboratory of Media Convergence and Communication, Communication University of China(中国传媒大学媒体融合与传播国家重点实验室) University of Chinese Academy of Sciences(中国科学院大学)

AI总结 研究大语言模型在错误信息生态系统中的问题,引入角色层框架统一风险与防御,组织相关攻击、研究检测与验证方法、分析漏洞及讨论对策,指出从静态检测到风险评估、强化验证管道、部署可审计人工参与验证系统这三个关键挑战。

Comments 35 pages, 8 figures

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2607.05241 2026-07-14 cs.RO 版本更新

GelNeuro: A Sensing-Computing Integrated Neuromorphic Tactile System for Texture Recognition

GelNeuro:面向纹理识别的感算融合神经形态触觉系统

Luoyang Bian, Xinpan Meng, Zhenghua Ma, Houcheng Li, Long Cheng

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所多模态人工智能系统国家重点实验室) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院)

AI总结 针对现有神经形态触觉系统依赖主机预处理的问题,提出GelNeuro感算融合系统,搭配硬件感知权重钳位策略,实现低功耗高准确率的端侧纹理识别。

Comments The authors withdraw this preprint as the work requires substantial revision and additional validation. The current version is not suitable for public dissemination, and further development of the research is needed

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2606.24844 2026-07-14 cs.CV 版本更新

Bridging the Manifold Gap: Riemannian Residual Line Search for One-Step Image Editing

弥合流形差距:黎曼残差线搜索用于一步图像编辑

Hongzhu Yi, Zhongtian Luo, Tong Li, Yiyan Fan, Jungang Xu

机构 * UCAS(中国科学院大学) WashU(华盛顿大学) SHU(上海大学)

AI总结 针对一步扩散编辑中固定更新强度无法兼顾目标提示和源图像保真度的问题,提出黎曼残差线搜索方法,通过局部时间曲率估计和残差路径选择,在PIE-Bench++上达到SOTA。

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2605.18601 2026-07-14 cs.CV 版本更新

Incantation: Natural Language as the Action Interface for Multi-Entity Video World Models

Incantation: 自然语言作为多实体视频世界模型的动作接口

Shangwen Zhu, Qianyu Peng, Zhao Pu, Zhilei Shu, Xiangrui Ke, Zhaohu Xing, Zizhao Tong, Zeqing Wang, Xinyu Cui, Zian Zheng, Huangji Wang, Jian Zhao, Yeying Jin, Fan Cheng, Ruili Feng

机构 * SJTU(上海交通大学) NVIDIA Research(英伟达研究) USTC(中国科学技术大学) UCAS(乌兹别克斯坦科学院) NUS(新加坡国立大学) UWaterloo(滑铁卢大学) HKUST(香港理工大学) HKU(香港大学) ZGCA(浙江大学)

AI总结 本研究提出了一种基于自然语言的动作接口,用于多实体视频世界模型,解决了传统接口在细粒度多实体控制和跨实体、跨世界泛化能力上的不足,通过引入自然语言条件化实现了更强大的表达能力。

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2602.23024 2026-07-14 cs.RO 版本更新

InCoM: Intent-Driven Perception and Structured Coordination for Mobile Manipulation

InCoM:基于意图的感知与结构化协调用于移动操作

Jiahao Liu, Cui Wenbo, Zhongpu Xia, Yongliang Wang, Haoran Li, Dongbin Zhao

机构 * Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences(中国科学院大学先进交叉学科学院) AnyverseDynamics

AI总结 InCoM通过意图驱动的感知和结构化协调框架,解决移动操作中基座与机械臂动作耦合及感知注意力分配问题,提升任务成功率。

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2604.22823 2026-07-14 cs.CV cs.AI 版本更新

PivotMerge: Bridging Heterogeneous Multimodal Pre-training via Post-Alignment Model Merging

PivotMerge: 通过后对齐模型融合弥合异构多模态预训练

Zibo Shao, Baochen Xiong, Xiaoshan Yang, Yaguang Song, Qimeng Zhang, Haifeng Chen, Changsheng Xu

机构 * State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(多模态人工智能系统国家重点实验室,中国科学院自动化研究所) Pengcheng Laboratory(鹏城实验室) School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) Data Science and Artificial Intelligence Research Institute, China United Network Communications Group Co., Ltd.(中国联合网络通信集团有限公司数据科学与人工智能研究院)

AI总结 本文提出PivotMerge框架,通过后对齐模型融合技术,解决多模态预训练中跨模态对齐能力整合问题,提升模型统一语义空间的构建效果。

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2604.22226 2026-07-14 cs.CV 版本更新

Towards Temporal Compositional Reasoning in Long-Form Sports Videos

长期体育视频中的时间组成推理方法

Siyu Cao, Lu Zhang, Ruizhe Zeng, Zhi-yong Liu

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences(中国科学院大学人工智能学院) MAIS, Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所MAIS)

AI总结 本文提出SportsTime基准和CoTR方法,通过时间接地证据组成提升体育视频长期推理能力,优于现有多模态大语言模型。

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2604.17889 2026-07-14 cs.CV 版本更新

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning

AeroRAG:结构化多模态检索增强型LLM用于细粒度航空视觉推理

Junxiao Xue, Quan Deng, Tingqi Hu, Meicong Si, Xinyi Yin, Yunyun Shi, Xuecheng Wu

机构 * Research Center for Space Computing System, Zhejiang Lab, Hangzhou(杭州浙大实验室空间计算系统研究中心) Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou(中国科学院大学杭州高等研究院) School of Cyber Science and Engineering, Zhengzhou University(郑州大学计算机科学与工程学院) School of Computer Science and Technology, Xi’an Jiaotong University(西安交通大学计算机科学与技术学院)

AI总结 本文提出AeroRAG,通过结构化场景图引导的多模态检索增强生成框架,解决航空场景中视觉问答的挑战,提升对小物体、数量、位置及物体关系的推理能力。

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2603.27250 2026-07-14 cs.CV 版本更新

IP-SAM: Rethinking Prompt-Conditioned Segmentation for Prompt-Absent Deployment

IP-SAM:基于提示空间的提示缺失伪装目标检测

Huiyao Zhang, Jin Bai, Rui Guo, JianWen Tan, HongFei Wang, Ye Li

机构 * University of Chinese Academy of Sciences(中国科学院大学) Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences(中国科学院空间应用工程与技术中心)

AI总结 IP-SAM通过提示空间条件化方法解决提示缺失的伪装目标检测问题,提出自提示生成器和提示空间门控机制,实现无需外部提示的高精度分割。

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2603.04277 2026-07-14 cs.RO cs.AI 版本更新

VehAnchor: Metadata-Free Metric Scale Recovery from Vehicle Cues in Aerial Imagery

VANGUARD:用于GPS受限环境下的无人机车辆锚定地面采样距离估计

Yifei Chen, Chenqian Le, Jiayi Cheng, Xupeng Chen

机构 * Aerospace Information Research Institute, Chinese Academy of Sciences(中国科学院航空航天信息研究所) Tandon School of Engineering, New York University(纽约大学工学院) School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences(中国科学院大学电子电气与通信工程学院)

AI总结 VANGUARD通过利用车辆锚点和核密度估计,为无人机在GPS受限环境中提供可靠地面采样距离估计,降低空间推理中的误差和失败率。

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2607.09065 2026-07-13 cs.SE cs.AI 新提交

Inside the Skill Market: From Software Engineering Activities to Reusable Agent Skills

深入技能市场:从软件工程活动到可复用的智能体技能

Jialun Cao, Xinru Yan, Songqiang Chen, Yaojie Lu, Zhongxin Liu, Shing-Chi Cheung

机构 * The Hong Kong University of Science(香港科技大学) University of Chinese Academy of Sciences Beijing, China(中国科学院大学) Institute of Software, Chinese Academy of Sciences Beijing, China(中国科学院软件研究所) Zhejiang University Hangzhou, China(浙江大学)

AI总结 研究探讨软件工程活动如何转化为可复用智能体技能。通过对公共库和市场中SE技能大规模实证研究,分析其封装活动、生命周期覆盖等,发现SE活动正通过技能成为可复用工件,为技能推荐等提供研究机会及相关机制需求。

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2607.08769 2026-07-10 cs.CV 新提交

Geometry and Gradient-based Partitioning for Panoramic Outdoor Reconstruction

基于几何和梯度的全景户外重建分区方法

Weijian Chen, Weibo Yao, Yuhang Zhang, Xiaolin Tang, Guo Wang, Weijun Zhang, Xitong Gao, Yihao Chen, Hongde Qin, Lu Qi

机构 * Insta360 Research(Insta360研究机构) Sun Yat-sen University(中山大学) South China University of Technology(华南理工大学) University of Chinese Academy of Sciences(中国科学院大学) Harbin Engineering University(哈尔滨工程大学) Wuhan University(武汉大学)

AI总结 针对大规模全景3D高斯点云重建成本高问题,提出PanoLOG两阶段框架,利用几何和梯度进行分区,粗阶段用天球建模等,细化阶段构建自适应边界体积等,还构建数据集,实现了高质量渲染和可扩展训练。

Comments Project Webpage: https://insta360-research-team.github.io/GGPS-Website

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