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20242026
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cs.CV2026

Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection

Xuechao Zou, Shun Zhang, Kai Li +6

The malicious use of generative artificial intelligence to create highly realistic deepfake videos raises serious ethical concerns and poses substantial challenges to AI safety. Ho…

cs.CV2026

Toward Stable Semi-Supervised Remote Sensing Segmentation via Co-Guidance and Co-Fusion

Yi Zhou, Xuechao Zou, Shun Zhang +7

Semi-supervised remote sensing (RS) image semantic segmentation offers a promising solution to alleviate the burden of exhaustive annotation, yet it fundamentally struggles with ps…

cs.CV2025

Language as an Anchor: Preserving Relative Visual Geometry for Domain Incremental Learning

Shuyi Geng, Tao Zhou, Yi Zhou

A key challenge in Domain Incremental Learning (DIL) is to continually learn under shifting distributions while preserving knowledge from previous domains. Existing methods face a…

cs.CV2025

Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translation

Zihao Chen, Yi Zhou, Xudong Jiang +4

Unpaired image-to-image translation has emerged as a crucial technique in medical imaging, enabling cross-modality synthesis, domain adaptation, and data augmentation without costl…

cs.CV2025

AutoIAD: Manager-Driven Multi-Agent Collaboration for Automated Industrial Anomaly Detection

Dongwei Ji, Bingzhang Hu, Yi Zhou

Industrial anomaly detection (IAD) is critical for manufacturing quality control, but conventionally requires significant manual effort for various application scenarios. This pape…

cs.CV2025

Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities

Yuang Yao, Ruiqi Wu, Yi Zhou +1

Traditional fundus image analysis models focus on single-modal tasks, ignoring fundus modality complementarity, which limits their versatility. Recently, retinal foundation models…