arXivDaily arXiv每日学术速递 周一至周五更新

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University of Oxford(牛津大学)

2025-11-25 至 2025-11-25 共收录 6
2511.15065 2025-11-25 cs.CV cs.AI

Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks

通过视频推理:首次评估视频模型在迷宫解决任务中的推理能力

Cheng Yang, Haiyuan Wan, Yiran Peng, Xin Cheng, Zhaoyang Yu, Jiayi Zhang, Junchi Yu, Xinlei Yu, Xiawu Zheng, Dongzhan Zhou, Chenglin Wu

机构 * DeepWisdom Tsinghua University(清华大学) Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) Renmin University of China(中国人民大学) University of Oxford(牛津大学) National University of Singapore(新加坡国立大学) Xiamen University(厦门大学) Hong Kong University of Science and Technology (GuangZhou)(香港科技大学(广州))

AI总结 本文首次评估视频模型在迷宫解决任务中的推理能力,提出VR-Bench基准,展示视频生成在空间推理中的潜力。

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2310.18089 2025-11-25 cs.CL cs.CY cs.SI

Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution

翻译失灵:利用全局事实核查衡量多语言虚假信息的普遍性、传播与演变

Dorian Quelle, Calvin Cheng, Alexandre Bovet, Scott A. Hale

机构 * Department of Mathematical Modeling and Machine Learning, University of Zurich, Switzerland(苏黎世大学数学建模与机器学习系) Digital Society Initiative, University of Zurich, Switzerland(苏黎世大学数字社会倡议) Oxford Internet Institute, University of Oxford, United Kingdom(牛津大学网络研究所) Meedan, San Francisco, United States(梅丹公司,旧金山,美国)

AI总结 本文通过分析多语言事实核查数据,揭示虚假信息在不同语言间的传播特性及演变过程,指出跨语言传播的挑战及本地化验证的重要性。

Journal ref EPJ Data Sci. 14, 22 (2025)

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2307.03177 2025-11-25 cs.CV

PanoDiffusion: 360-degree Panorama Outpainting via Diffusion

PanoDiffusion:通过扩散模型实现360度全景补全

Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham

机构 * Nanyang Technological University(南洋理工大学) University of Oxford(牛津大学)

AI总结 PanoDiffusion通过双模潜在扩散模型实现360度全景补全,提升全景环绕一致性并生成高质量深度全景图。

Comments Project Page: https://sm0kywu.github.io/panodiffusion/

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2511.18103 2025-11-25 cs.LO cs.CL cs.FL math.PR

Comparing Labeled Markov Chains: A Cantor-Kantorovich Approach

比较标记马尔可夫链:一种坎托-康托维奇方法

Adrien Banse, Alessandro Abate, Raphaël M. Jungers

机构 * ICTEAM, UCLouvain(ICTEAM,UCLouvain) Department of Computer Science, University of Oxford(计算机科学系,牛津大学)

AI总结 本文提出了一种基于坎托-康托维奇距离的标记马尔可夫链比较方法,分析了其计算复杂性和近似性质,并证明了该距离的理论基础。

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2511.17724 2025-11-25 cs.CV

AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography

AngioDG:可解释的通道信息引导的特征调节单源领域泛化用于X射线血管造影中的冠状动脉分割

Mohammad Atwany, Mojtaba Lashgari, Robin P. Choudhury, Vicente Grau, Abhirup Banerjee

机构 * Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK(牛津大学生物医学工程研究所,工程科学系,英国)

AI总结 AngioDG通过通道正则化策略提升X射线血管造影中冠状动脉分割的领域泛化能力,实现可解释的特征调节和领域不变特征增强。

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2507.19165 2025-11-25 eess.IV cs.CV

Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge

极端呼吸运动下的心脏MRI分析:CMRxMotion挑战结果

Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob van der Geest, Tewodros Weldebirhan Arega, Fabrice Meriaudeau, Caner Özer, Amin Ranem, John Kalkhof, İlkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A Niederer, Carles Garcia-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Płotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang

机构 * Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, Shanghai 200032, China Shanghai Key Laboratory of MICCAI, Fudan University, Shanghai, Shanghai 200032, China Department of Electrical Electronic Engineering \& I-X, Imperial College London, London, London SW7 2AZ, United Kingdom Department of Radiology, Zhongshan Hospital Affiliated to Fudan University, Shanghai, Shanghai 200032, China Department of Computing, Imperial College London, London, London SW7 2AZ, United Kingdom School of Computer Science, University of Sheffield, Sheffield, S1 4DP, United Kingdom Department of Engineering Science, University of Oxford, Oxford, OX2 0ES, United Kingdom Shanghai Pudong Hospital Human Phenome Institute, Fudan University, Shanghai, 201203, China School of Computer Science, University of Nottingham, Nottingham, NG8 1BB, United Kingdom Diagnostic Imaging, University of Alberta, Edmonton, AB T6G 1K4, Canada Department of Computer Science Engineering, The Chinese University of Hong Kong, Hong Kong, Hong Kong 000000, China The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology Reproduction, Maastricht University, 6220 MD Maastricht, The Netherlands Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AZ, The Netherlands Department of Radiology, Northwestern University, 737 N. Michigan Ave, Suite 1600, Chicago 60611, United States United Imaging Research, 393 Middle Huaxia Road, Pudong, Shanghai 201210, China Division of Image Processing, Department of Radiology, Leiden University Medical Center, PO Box 9600, Leiden 2300 RC, The Netherlands Université Bourgogne Europe, CNRS, ICMUB UMR 6302, 21000 Dijon, France Istanbul Technical University, Maslak, 34467, İstanbul, Türkiye Computer Science, Technical University of Darmstadt, Karolinenpl. 5, 64289 Darmstadt, Germany Lung Institute, Faculty of Medicine, Imperial College London, Guy Scadding Building, Cale Street, London, SW3 6LY,United Kingdom Hawkes Institute, Department of Computer Science, University College London, 66-72 Gower St, London, United Kingdom School of Medicine, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland CeADAR: Ireland's Centre for AI, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland Sano Centre for Computational Medicine, Czarnowiejska 36, 30-054, Krakow, Poland Faculty of Mathematics Computer Science, Jagiellonian University, S. Łojasiewicza 6, Krakow, Poland Department of Electronic Computer Engineering, The Hong Kong University of Science School of Instrument Science Engineering, Southeast University, Nanjing, Nanjing 210096, China College of Artificial Intelligence, Nanjing University of Aeronautics Academy for Engineering Technology, Fudan University, Shanghai, Shanghai 200433, China College of Biomedical Engineering, Fudan University, Shanghai, Shanghai 200433, China Institute of Science Technology for Brain-inspired Intelligence, Fudan University, Shanghai, Shanghai 200433, China Department of Brain Sciences, Imperial College London, London, London SW7 2AZ, United Kingdom Data Science Institute, Imperial College London, London, London SW7 2AZ, United Kingdom

AI总结 本文提出CMRxMotion挑战,通过公开数据集评估深度学习模型在呼吸运动干扰下的心脏MRI分析性能,并探讨运动伪影对临床生物标志物的影响。

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