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20242026
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cs.CV2026

SURE: Semi-dense Uncertainty-REfined Feature Matching

Sicheng Li, Zaiwang Gu, Jie Zhang +3

Establishing reliable image correspondences is essential for many robotic vision problems. However, existing methods often struggle in challenging scenarios with large viewpoint ch…

cs.CV2025

Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Jie Zhang, Ting Xu, Gelei Deng +5

Writing is a universal cultural technology that reuses vision for symbolic communication. Humans display striking resilience: we readily recognize words even when characters are fr…

cs.CV2025

Mask Image Watermarking

Runyi Hu, Jie Zhang, Shiqian Zhao +5

We present MaskWM, a simple, efficient, and flexible framework for image watermarking. MaskWM has two variants: (1) MaskWM-D, which supports global watermark embedding, watermark l…

cs.CV2025

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Runyi Hu, Jie Zhang, Yiming Li +4

Artificial Intelligence Generated Content (AIGC) has advanced significantly, particularly with the development of video generation models such as text-to-video (T2V) models and ima…

cs.CV2024

SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution

Runyi Hu, Jie Zhang, Yiming Li +4

In today's digital landscape, the blending of AI-generated and authentic content has underscored the need for copyright protection and content authentication. Watermarking has beco…

cs.CV2024

FaceTracer: Unveiling Source Identities from Swapped Face Images and Videos for Fraud Prevention

Zhongyi Zhang, Jie Zhang, Wenbo Zhou +5

Face-swapping techniques have advanced rapidly with the evolution of deep learning, leading to widespread use and growing concerns about potential misuse, especially in cases of fr…