arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Nanjing University(南京大学)

2026-07-09 至 2026-07-09 共收录 8
2607.07527 2026-07-09 stat.ML cs.LG 新提交

A Unified Detection Framework for AI-Related Content and Artifacts

人工智能相关内容和工件的统一检测框架

Xifeng Zhang, Tao Hu, Yijie Peng, Wan Tian

机构 * School of Mathematical Sciences, Capital Normal University, Beijing 100048, China(数学学院,首都师范大学,北京100048,中国) School of Management and Engineering, Nanjing University, Nanjing 210008, China(管理工程学院,南京大学,南京210008,中国) Advanced Institute of Information Technology, Peking University(信息科技高级研究院,北京大学) Wangxuan Institute of Computer Technology, Peking University, Beijing 100871, China(王炫计算机技术研究院,北京大学,北京100871,中国)

AI总结 研究针对人工智能相关内容和工件检测问题,提出基于马氏距离分数的统一检测框架。通过开发联合估计方法、提供优化算法并证明收敛性等,有效刻画正类,经实证评估验证了该检测框架的有效性。

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2607.07708 2026-07-09 cs.CL cs.AI cs.CE cs.LG 新提交

Accurate, Interdisciplinary and Transparent Structure-property Understanding with Deep Native Structural Reasoning

通过深度原生结构推理实现准确、跨学科和透明的结构-属性理解

Chen Tang, Yizhou Wang, Jianyu Wu, Lintao Wang, Shixiang Tang, Pengze Li, Encheng Su, Jun Yao, Jiabei Xiao, Yuqi Shi, Jielan Li, Hongxia Hao, Zhangyang Gao, Fang Wu, Ben Fei, Xiangyu Yue, Pan Tan, Bozitao Zhong, Jinouwen Zhang, Aoran Wang, Yan Lu, Jiaheng Liu, Xinzhu Ma, Liang Hong, Mingyue Zheng, Phil Torr, Bowen Zhou, Wanli Ouyang, Lei Bai

机构 * Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) The Chinese University of Hong Kong(香港中文大学) Shanghai Jiao Tong University(上海交通大学) Fudan University(复旦大学) University of Sydney(悉尼大学) Nanjing University(南京大学) University of Oxford(牛津大学) The University of Science and Technology of China(中国科学技术大学) Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences(药物发现与设计中心、国家药物研究重点实验室、上海中医药材料医学研究所、中国科学院) University of Chinese Academy of Sciences(中国科学院大学) Stanford University(斯坦福大学)

AI总结 研究聚焦利用人工智能解释结构-属性关系的挑战,提出多模态科学基础模型SciReasoner,通过离散化结构信息为可寻址单元进行推理,在多领域基准测试中表现出色,实现准确预测与可解释科学推理的结合。

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2607.07320 2026-07-09 cs.CV 新提交

SoccerNet 2026 Challenges Results

SoccerNet 2026挑战结果

Anthony Cioppa, Silvio Giancola, Håkan Ardö, Mohamad Dalal, Jan Held, Jérémie Ochin, Jiayuan Rao, Karen Sanchez, Renaud Vandeghen, Artur Xarles, Olivier Barnich, Albert Clapés, Mathieu Delvaux, Sergio Escalera, Bernard Ghanem, Cédric Hons, Antoine Houet, Sotiris Manitsaris, Tom Michel, Pierre Miralles, Thomas B. Moeslund, Mikael Nilsson, Bogdan Stanciulescu, Marc Van Droogenbroeck, Yanfeng Wang, Weidi Xie, Faisal Altawijri, Mohamed Atef, Semen Budennyy, Vasiliy Chelpanov, Puhua Chen, Yixin Chen, Lechao Cheng, Jianling Chu, Ju-Seong Do, Oleg Durygin, Omar Fetouh, Mirco Fuchs, Youssef Ghallab, Falguni Ghosh, Wonjun Heo, Yufeng Hu, Weixuan Huang, Phuong-Linh Huynh-Ha, Matvey Isupov, Yangguang Ji, Siyuan Jiang, Zhenxiang Jiang, Wonyong Jo, Ho-Young Jung, SeongHeon Kang, MinJae Kim, Youngseon Kim, Jakub Komosa, Artem Konshin, Trung-Hoang Le, Jongmin Lee, Lingling Li, Litao Li, Vadim Linkov, Fang Liu, Haoxuan Ma, Shun Makino, Ismail Mathkour, Konstantin Mitin, Mikhail Moiseev, Takumi Nagaya, Yuki Nakamura, Thanh-Khoi Nguyen, Hoang-Phuc Nguyen, Trong-Thuan Nguyen, Christian Orduz, Kwanyong Park, Fabian Perez, Parthsarthi Rawat, SuHyun Rim, Hoover Rueda-Chacón, Atom Scott, Minori Sugimura, Yuyang Sun, Shengeng Tang, Minh-Triet Tran, Ikuma Uchida, Juan Vanegas, Thanh-Nhan Vo, Jiangtao Wang, Yaxiong Wang, Xiaogang Wang, Ruifeng Wang, Rio Watanabe, Jiali Wen, Yongliang Wu, Di Yang, Xu Yang, Zhuo Yang, Xinyu Ye, Yibo Yu, Zihan Zhai, Yu Zhang, Zhenyu Zhao, Zhun Zhong, Yixi Zhou, Xingyu Zhu, Wenbo Zhu, Julian Ziegler

机构 * University of Liège(列日大学) King Abdullah University of Science and Technology(阿卜杜拉国王科技大学) Spiideo(斯皮迪奥公司) Aalborg University(奥尔堡大学) SpAItial(斯帕蒂亚尔公司) Center for Robotics, Mines Paris, PSL(巴黎矿业学院机器人中心(巴黎文理研究大学)) Footovision(Footovision公司) Shanghai Jiao Tong University(上海交通大学) Universitat de Barcelona(巴塞罗那大学) Computer Vision Center(计算机视觉中心) EVS Broadcast Equipment(EVS广播设备公司) Pioneer Center for Artificial Intelligence(先锋人工智能中心) Lund University(隆德大学) TAHAKOM(TAHAKOM公司) Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI)(穆罕默德·本·扎耶德人工智能大学) Sber AI(Sber人工智能公司) Salute For Business(Salute For Business公司) Intelligent Perception and Image Understanding Lab, Xidian University(西安电子科技大学智能感知与图像理解实验室) South China University of Technology(华南理工大学) Hefei University of Technology(合肥工业大学) Kyungpook National University(庆北国立大学) Leipzig University of Applied Sciences(莱比锡应用科学大学) Friedrich-Alexander University Erlangen-Nuremberg(埃尔朗根-纽伦堡大学) University of Seoul(首尔大学) Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China(电子科技大学深圳高等研究院) Nanjing University(南京大学) University of Science, Ho Chi Minh City(胡志明市科技大学) Nanyang Technological University(南洋理工大学) National University of Singapore(新加坡国立大学)

AI总结 SoccerNet 2026挑战涵盖五项体育视频理解视觉任务,为每项任务提供数据、协议和基线。众多团队参与,本文介绍任务、评估协议,展示排行榜并总结领先提交内容,记录各任务当前状态。

Comments 40 pages

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2607.07119 2026-07-09 cs.CV 新提交

ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching

ColorFM:一种通过流匹配进行颜色迁移的从优化到学习的框架

Yuhang He, Kai Zhang, Xiaoming Li, Du Chen, Jian Yang

机构 * School of Intelligence Science and Technology, Nanjing University(南京大学智能科学与技术学院) VIVO BlueImage Lab(VIVO 蓝图像实验室)

AI总结 针对颜色迁移中现有方法的问题,提出ColorFM框架,先通过ColorFM - O方案拟合速度场产生高质量配对数据,再基于此设计ColorFM - L前馈模型,实验证明该框架在多方面表现优异,结合了优化准确性与推理速度。

Comments Accepted to ECCV 2026

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2607.06202 2026-07-09 cs.DC cs.AI cs.NI 新提交

UBEP: Re-architecting Expert Parallelism Communication Library for Production Superpods

UBEP:为生产超级集群重新架构专家并行通信库

Yipeng Liu, Chang Liu, Si Shen, Jiaqi Zheng, Mingfan Li, Yuyang Yang, Guanhua Li, Yuquan Zhang, Yimeng Xu, Zhongzhe Hu, Zhiyuan Huang, Qihang Duan, Junsong Wang, Wenkai Ling, Baochuan Yang, Xianzhi Yu, Han Bao, Yijie Chen, Guihai Chen

机构 * State Key Laboratory for Novel Software Technology, Nanjing University(新型软件技术国家重点实验室,南京大学) Huawei Technologies Co., Ltd.(华为技术有限公司)

AI总结 研究针对生产超级集群部署MoE模型面临的挑战,提出UBEP通信库,重新思考MoE全对全原语,经大规模实验,有效降低了全对全延迟和MoE推理每输出令牌时间。

Comments Accepted to ACM SIGCOMM 2026. Corresponding authors: jzheng@nju.edu.cn (J. Zheng), huzhongzhe@huawei.com (Z. Hu)

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2606.26016 2026-07-09 cs.CV 新提交

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation

MIMFlow:将掩码图像建模与归一化流集成用于端到端图像生成

Yang Chen, Xiaowei Xu, Shuai Wang, Xinwen Zhang, Qiushi Guo, Tiezheng Ge, Limin Wang

机构 * State Key Laboratory for Novel Software Technology, Nanjing University(南京大学计算机软件新技术国家重点实验室) Alibaba Group(阿里巴巴集团) Shanghai AI Lab(上海人工智能实验室)

AI总结 提出MIMFlow框架,通过VAE编码器从掩码图像推断语义潜在变量,使归一化流专注于低频语义流形,解码器处理高频合成,解决NF容量瓶颈,在ImageNet 256×256上达到71.3%线性探测精度和2.50 FID。

Comments Accepted by ECCV 2026

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2602.23615 2026-07-09 cs.CV 版本更新

HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework

无需标注的高分辨率大多模态模型视觉推理技术

Jiacheng Yang, Anqi Chen, Yunkai Dang, Qi Fan, Cong Wang, Wenbin Li, Feng Miao, Yang Gao

机构 * State Key Laboratory of Novel Software Technology(新型软件技术国家重点实验室) Institute of Brain-inspired Intelligence(脑启发式智能研究院) Shenzhen Research Institute of Nanjing University(南京大学深圳研究院)

AI总结 HART通过闭环框架和AP-GRPO方法,实现无需外部标注的高分辨率视觉推理,提升多模态模型在高分辨率任务中的性能。

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2211.14966 2026-07-09 cs.LG 版本更新

Adversarial Rademacher Complexity of Deep Neural Networks

深度神经网络的对抗拉德马赫复杂度

Jiancong Xiao, Yanbo Fan, Ruoyu Sun, Zhi-Quan Luo

机构 * The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳)) Nanjing University Suzhou(南京大学苏州校区)

AI总结 研究深度神经网络对抗攻击下的泛化问题,引入中间对抗样本概念及计算框架,给出深度神经网络对抗拉德马赫复杂度的首个界定,并通过实验表明权重范数是影响稳健泛化差距的关键因素。

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