机构
*
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences(苏州生物医学工程与技术研究所,中国科学院)
;
SyCoIA, IMT Mines Ales(SyCoIA,IMT Mines Ales)
A Multi-Domain Feature Fusion Framework for Generalizable Deepfake Detection Across Different Generators
面向不同生成器的可泛化深度伪造检测的多域特征融合框架
Amna Amjid, Sana Qadir, Mehwish Fatima, Raja Khurram Shahzad
机构
*
School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan(巴基斯坦国立科技大学电气工程与计算机科学学院)
;
Department of Communication, Quality Management and Information Systems, Mid Sweden University, Ostersund Campus, Sweden(瑞典中部大学通信、质量管理和信息系统系,厄斯特松德校区)
;
Department of Computer Science, Electrical and Space Engineering, Lulea University of Technology, Luleå, Sweden(瑞典吕勒奥理工大学计算机科学、电气与空间工程系)
Improving Lunar Topography with Deep Learning Schrödinger Bridges
利用深度学习薛定谔桥改进月球地形
Matthew Repasky, Erwan Mazarico, Michael K. Barker, Stefano Bertone, Terence J. Sabaka, Yao Xie
机构
*
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology(佐治亚理工学院H. Milton Stewart工业与系统工程系)
;
NASA Goddard Space Flight Center(美国国家航空航天局戈达德太空飞行中心)
;
Center for Research and Exploration in Space Science and Technology (CRESST II), University of Maryland, College Park(马里兰大学帕克分校空间科学与技术研究与探索中心(CRESST II))
;
National Institute for Astrophysics (INAF), Astrophysical Observatory of Turin(意大利国家天体物理研究所(INAF)都灵天体物理天文台)
Visual Prompting Meets Feature Reconstruction-Based Anomaly Detection with Dual-Teacher Supervision
视觉提示结合基于特征重建的双教师监督异常检测
Mateo Diaz-Bone, Daniel Caraballo, Florian Scheidegger, Thomas Frick, Mattia Rigotti, Andrea Bartezzaghi, Roy Assaf, Niccolo Avogaro, Yagmur G. Cinar, Brown Ebouky, Filip M. Janicki, Piotr S. Kluska, Cezary Skura, Cristiano Malossi
机构
*
School of Information Science and Technology, University of Science and Technology of China(信息科学与技术学院,中国科学技术大学)
;
Zhongguancun Academy(中关村学院)
;
the 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)
;
Eastern Institute of Technology(东部技术研究所)
;
Tsinghua University(清华大学)
CHROMA: Detecting AI-Generated Images through Inter-Channel Color-Space Correlations
CHROMA: 通过通道间色彩空间相关性检测AI生成图像
Juan Pablo Sotelo, Marina Gardella, Pablo Musé
机构
*
Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República, Montevideo, Uruguay(乌拉圭共和国大学工程学院电气工程研究所)
;
Université Paris-Saclay, ENS Paris-Saclay, CNRS, Centre Borelli, Gif-sur-Yvette, 91190 France(巴黎萨克雷大学,巴黎萨克雷高等师范学校,法国国家科学研究中心,博雷利中心)
CommentsThis manuscript has been accepted for publication at the 28th International Conference on Pattern Recognition (ICPR 2026). The final published version will appear in the Springer LNCS proceedings
机构
*
Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)(哈尔滨工业大学(深圳)计算机科学与技术学院)
;
School of Intelligence Science and Engineering, College of Artificial Intelligence, Harbin Institute of Technology, Shenzhen(哈尔滨工业大学(深圳)人工智能学院智能科学与工程学院)
;
School of Artificial Intelligence, Beijing University of Posts and Telecommunications(北京邮电大学人工智能学院)
;
Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University(深圳大学医学部生物医学工程学院广东省生物医学测量与超声成像重点实验室)
;
Department of Radiology, The People’s Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences(广西壮族自治区人民医院放射科,广西医学科学院)
;
Shenzhen Sixth People’s Hospital (Nanshan Hospital), Huazhong University of Science and Technology Union Shenzhen Hospital(华中科技大学协和深圳医院(深圳市第六人民医院))
;
School of Basic Medical Sciences, Shenzhen University(深圳大学基础医学院)
;
Egypt-Japan University of Science and Technology (E-JUST)(埃及日本科技大学)
;
School of Biomedical Engineering, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University Medical School(深圳大学医学部生物医学工程学院,国家地方联合医学超声关键技术工程实验室,广东省生物医学测量与超声成像重点实验室)