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20222026
most citedDiffusionInst: Diffusion Model for Instance Segmentation

23 citations · 35 across the 32 of their papers we have counts for

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Showing 2025 · cs.CVShow all

9 papers · 2 filters

cs.CV2025

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images

Yikun Ji, Yan Hong, Bowen Deng +5

The rapid growth of AI-generated imagery has blurred the boundary between real and synthetic content, raising practical concerns for digital integrity. Vision-language models (VLMs…

cs.CV2025

GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection

Haozhen Yan, Yan Hong, Suning Lang +6

With generative models becoming increasingly sophisticated and diverse, detecting AI-generated images has become increasingly challenging. While existing AI-genereted Image detecto…

cs.CV2025

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO

Wei Guan, Jun Lan, Jian Cao +3

Industrial anomaly detection (IAD) plays a crucial role in maintaining the safety and reliability of manufacturing systems. While multimodal large language models (MLLMs) show stro…

cs.CV2025

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs

Yikun Ji, Hong Yan, Jun Lan +5

The rapid advancement of image generation technologies intensifies the demand for interpretable and robust detection methods. Although existing approaches often attain high accurac…

cs.CV2025

DS-VTON: An Enhanced Dual-Scale Coarse-to-Fine Framework for Virtual Try-On

Xianbing Sun, Yan Hong, Jiahui Zhan +5

Despite recent progress, most existing virtual try-on methods still struggle to simultaneously address two core challenges: accurately aligning the garment image with the target hu…

cs.CV2025★ 1 cited

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks

Sun Haoxuan, Hong Yan, Zhan Jiahui +6

The rapid advancement of generative image technology has introduced significant security concerns, particularly in the domain of face generation detection. This paper investigates…

cs.CV2025

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…

cs.CV2025★ 2 cited

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models

Yikun Ji, Yan Hong, Jiahui Zhan +6

Progress in image generation raises significant public security concerns. We argue that fake image detection should not operate as a "black box". Instead, an ideal approach must en…

cs.CV2025

InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation

Yukang Lin, Yan Hong, Zunnan Xu +10

Recent video generation research has focused heavily on isolated actions, leaving interactive motions-such as hand-face interactions-largely unexamined. These interactions are esse…