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20242026
most citedReinforcement Learning Enhanced LLMs: A Survey

7 citations · 11 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

Unifying Watermarking via Dimension-Aware Mapping

Jiale Meng, Runyi Hu, Jie Zhang +3

Deep watermarking methods often share similar encoder-decoder architectures, yet differ substantially in their functional behaviors. We propose DiM, a new multi-dimensional waterma…

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

Clean Image May be Dangerous: Data Poisoning Attacks Against Deep Hashing

Shuai Li, Jie Zhang, Yuang Qi +4

Large-scale image retrieval using deep hashing has become increasingly popular due to the exponential growth of image data and the remarkable feature extraction capabilities of dee…

cs.CV2025★ 1 cited

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.CV2025

Turn That Frown Upside Down: FaceID Customization via Cross-Training Data

Shuhe Wang, Xiaoya Li, Xiaofei Sun +4

Existing face identity (FaceID) customization methods perform well but are limited to generating identical faces as the input, while in real-world applications, users often desire…

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★ 1 cited

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…