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20232026
most citedAdaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving

4 citations · 4 across the 16 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

Correlation-Aware and Gaussianity-Preserving Robust Latent Angular Watermarking for Diffusion Models

Yebin Zheng, Haonan An, Guang Hua +2

Latent domain watermarking for diffusion models embeds watermarks directly into the latent prior, enjoying non-intrusiveness to model parameters and seamless integration with the g…

cs.NI2026

Update the Unseen Only: Minimizing AoI for Collaborative Perception through Online Learning

Yanan Ma, Zhuoyi Zhao, Zhengru Fang +3

While collaborative perception (CP) enhances the safety of autonomous driving, limited bandwidth can cause severe shared data staleness in CP systems. Existing age-of-information (…

cs.CV2026

FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views

Yihang Tao, Yu Guo, Zhengru Fang +2

We present FRUC, a feedforward 3D Gaussian Splatting framework for dynamic scene reconstruction from uncalibrated collaborative driving views. Existing multi-agent reconstruction f…

cs.LG2026

Federated Mixture-of-Experts Alignment on Mobile Edge Networks under Data Heterogeneity

Zihan Fang, Qianru Wang, Haonan An +5

The growing demand for on-device large language model (LLM) services on mobile edge devices has driven the adoption of Mixture-of-Experts (MoE) architectures, which scale model cap…

cs.CV2026

RecoverMark: Robust Watermarking for Localization and Recovery of Manipulated Faces

Haonan An, Xiaohui Ye, Guang Hua +4

The proliferation of AI-generated content has facilitated sophisticated face manipulation, severely undermining visual integrity and posing unprecedented challenges to intellectual…

cs.CV2026

Learning Mutual View Information Graph for Adaptive Adversarial Collaborative Perception

Yihang Tao, Senkang Hu, Haonan An +3

Collaborative perception (CP) enables data sharing among connected and autonomous vehicles (CAVs) to enhance driving safety. However, CP systems are vulnerable to adversarial attac…

cs.CV2026

Decoder Gradient Shields: A Family of Provable and High-Fidelity Methods Against Gradient-Based Box-Free Watermark Removal

Haonan An, Guang Hua, Wei Du +5

Box-free model watermarking has gained significant attention in deep neural network (DNN) intellectual property protection due to its model-agnostic nature and its ability to flexi…