3 citations · 3 across the 7 of their papers we have counts for
8 papers
GAP-SAM: A Global Artifact Prior for Generalizable AI-Generated Image Manipulation Localization
Haozhen Yan, Siyuan Shan, Zijian Yu +4
AI-generated image manipulation localization identifies edited pixels, but its OOD performance lags behind image-level detection partly because pixel supervision entangles forensic…
RoCo-ACE: Rollout-Conditioned Online Distillation for Retention-Aware Knowledge Injection
Yan Hong, Wei Li, Kedong Xiu +6
Knowledge injection updates pretrained MLLMs with new factual or domain-specific knowledge, but fitting full authoritative answers can cause drift in non-updated behavior. Online d…
LoMC: Localized Multidirectional Correction for Refusal Suppression in Routed Foundation Models
Yan Hong, Kedong Xiu, Wei Li +6
We study controlled post-training refusal suppression in routed MoE and hybrid-MoE foundation models, aiming to increase non-refusal target-response behavior while preserving gener…
COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations
Haozhen Yan, Yan Hong, Jiahui Zhan +5
Recent advances in image manipulation have enabled highly photorealistic content generation, but also lowered the barrier to arbitrary editing, raising concerns about multimedia au…
User-Friendly Customized Generation with Multi-Modal Prompts
Linhao Zhong, Yan Hong, Wentao Chen +4
Text-to-image generation models have seen considerable advancement, catering to the increasing interest in personalized image creation. Current customization techniques often neces…
Assessing Image Inpainting via Re-Inpainting Self-Consistency Evaluation
Tianyi Chen, Jianfu Zhang, Yan Hong +2
Image inpainting, the task of reconstructing missing segments in corrupted images using available data, faces challenges in ensuring consistency and fidelity, especially under info…
ComFusion: Personalized Subject Generation in Multiple Specific Scenes From Single Image
Yan Hong, Jianfu Zhang
Recent advancements in personalizing text-to-image (T2I) diffusion models have shown the capability to generate images based on personalized visual concepts using a limited number…
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong, Jianfu Zhang
The extraordinary ability of generative models enabled the generation of images with such high quality that human beings cannot distinguish Artificial Intelligence (AI) generated i…