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20242026
most citedDiffusionAgent: Navigating Expert Models for Agentic Image Generation

10 citations · 11 across the 16 of their papers we have counts for

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cs.CV2026

PRMU: A Corpus-Free Benchmark for Person-Centric Knowledge Unlearning in Multimodal Large Language Models

Huafeng Chen, Yueming Lyu, Ziyuan Chen +4

Multimodal large language models (MLLMs) have demonstrated remarkable capabilities in storing and recalling rich person-related knowledge, raising increasing concerns about reliabl…

cs.CV2026

Is There Really a Camouflaged Object? Towards Realistic Camouflaged Object Detection

Huafeng Chen, Yueming Lyu, Chenyang Si +3

Camouflaged object detection (COD) aims to segment objects that are visually concealed in their surroundings and has attracted increasing attention in recent years. However, most e…

cs.CV2026

Hierarchical Anti-Aesthetics: Protecting Facial Privacy against Customized Diffusion Models

Songping Wang, Yueming Lyu, Shiqi Liu +5

The rise of customized diffusion models has fueled a boom in personalized visual content creation, but it also introduces serious risks of malicious misuse, thereby posing threats…

cs.CV2026

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

Songping Wang, Qinglong Liu, Yueming Lyu +3

Mixture-of-Experts (MoE) has demonstrated strong performance in video understanding tasks, yet its adversarial robustness remains underexplored. Existing attack methods often treat…

cs.CV2026

StableWorld: Towards Stable and Consistent Long Interactive Video Generation

Ying Yang, Zhengyao Lv, Yujia Zeng +9

In this paper, we explore the overlooked challenge of stability and temporal consistency in interactive video generation, which synthesizes dynamic and controllable video worlds th…

cs.CV2025

RunawayEvil: Jailbreaking the Image-to-Video Generative Models

Songping Wang, Rufan Qian, Yueming Lyu +5

Image-to-Video (I2V) generation synthesizes dynamic visual content from image and text inputs, providing significant creative control. However, the security of such multimodal syst…

cs.CV2025

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

Xin Gao, Jiyao Liu, Guanghao Li +8

Recent advancements have explored text-to-image diffusion models for synthesizing out-of-distribution (OOD) samples, substantially enhancing the performance of OOD detection. Howev…

cs.CV2025

An Effective End-to-End Solution for Multimodal Action Recognition

Songping Wang, Xiantao Hu, Yueming Lyu +1

Recently, multimodal tasks have strongly advanced the field of action recognition with their rich multimodal information. However, due to the scarcity of tri-modal data, research o…

cs.CV2025

Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos

Songping Wang, Hanqing Liu, Yueming Lyu +5

Adversarial Training (AT) has been shown to significantly enhance adversarial robustness via a min-max optimization approach. However, its effectiveness in video recognition tasks…

cs.CV2025

Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis

Songping Wang, Yueming Lyu, Shiqi Liu +4

The rise of customized diffusion models has spurred a boom in personalized visual content creation, but also poses risks of malicious misuse, severely threatening personal privacy…

cs.CV2025

Exploring Adversarial Transferability between Kolmogorov-arnold Networks

Songping Wang, Xinquan Yue, Yueming Lyu +1

Kolmogorov-Arnold Networks (KANs) have emerged as a transformative model paradigm, significantly impacting various fields. However, their adversarial robustness remains less undere…

cs.CV2024★ 10 cited

DiffusionAgent: Navigating Expert Models for Agentic Image Generation

Jie Qin, Jie Wu, Weifeng Chen +1

In the accelerating era of human-instructed visual content creation, diffusion models have demonstrated remarkable generative potential. Yet their deployment is constrained by a du…