ICCV

Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning

Muhammad Aqeel, Shakiba Sharifi, Marco Cristani, Francesco Setti

机构 * Dept. of Engineering for Innovation Medicine, University of Verona（创新医学工程系，威尼斯大学） ； Qualyco S.r.l.（Qualyco公司） 纠错

Comments Accepted to IEEE/CVF International Conference on Computer Vision (ICCV2025)

Superpowering Open-Vocabulary Object Detectors for X-ray Vision

Pablo Garcia-Fernandez, Lorenzo Vaquero, Mingxuan Liu, Feng Xue, Daniel Cores, Nicu Sebe, Manuel Mucientes, Elisa Ricci

机构 * University of Santiago de Compostela（圣地亚哥-德孔波斯特拉大学） ； Fondazione Bruno Kessler（布鲁诺·凯斯勒基金会） ； University of Trento（特伦托大学） 纠错

Comments Accepted at ICCV 2025

SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration

Jongsuk Kim, Jaeyoung Lee, Gyojin Han, Dongjae Lee, Minki Jeong, Junmo Kim

机构 * KAIST（韩国科学技术院） ； AI Center, Samsung Electronics（三星电子人工智能中心） 纠错

Journal ref International Conference on Computer Vision, ICCV 2025

AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts

Yufan Liu, Wanqian Zhang, Huashan Chen, Lin Wang, Xiaojun Jia, Zheng Lin, Weiping Wang

机构 * Institute of Information Engineering, Chinese Academy of Sciences（中国科学院信息工程研究所） ； School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络安全学院） ； School of Cyberspace, Hangzhou Dianzi University（杭州电子科技大学网络空间学院） ； Nanyang Technological University（南洋理工大学） 纠错

Comments Accepted by ICCV 2025

Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem

Neslihan Kose, Anthony Rhodes, Umur Aybars Ciftci, Ilke Demir

机构 * Intel Labs（英特尔实验室） ； Binghamton University（宾夕法尼亚州立大学） ； Cauth AI（Cauth人工智能） 纠错

Comments Accepted for publication at the ICCV 2025 workshop - STREAM

Normal and Abnormal Pathology Knowledge-Augmented Vision-Language Model for Anomaly Detection in Pathology Images

Jinsol Song, Jiamu Wang, Anh Tien Nguyen, Keunho Byeon, Sangjeong Ahn, Sung Hak Lee, Jin Tae Kwak

机构 * Korea University（韩国大学） ； The Catholic University of Korea（韩国天主大学） 纠错

Comments Accepted to ICCV 2025. Code is available at: https://github.com/QuIIL/ICCV2025_Ano-NAViLa

Riemannian-Geometric Fingerprints of Generative Models

Hae Jin Song, Laurent Itti

Comments ICCV 2025 Highlight paper