5 papers
AnomalyClaw: A Universal Visual Anomaly Detection Agent via Tool-Grounded Refutation
Xi Jiang, Yinjie Zhao, Zesheng Yang +1
Visual anomaly detection (VAD) is crucial in many real-world fields, such as industrial inspection, medical imaging, infrastructure monitoring, and remote sensing. However, the spe…
Cognitive Inception: Agentic Reasoning against Visual Deceptions by Injecting Skepticism
Yinjie Zhao, Heng Zhao, Bihan Wen +1
As the development of AI-generated contents (AIGC), multi-modal Large Language Models (LLM) struggle to identify generated visual inputs from real ones. Such shortcoming causes vul…
Dynamic-Aware Video Distillation: Optimizing Temporal Resolution Based on Video Semantics
Yinjie Zhao, Heng Zhao, Bihan Wen +2
With the rapid development of vision tasks and the scaling on datasets and models, redundancy reduction in vision datasets has become a key area of research. To address this issue,…
Video Set Distillation: Information Diversification and Temporal Densification
Yinjie Zhao, Heng Zhao, Bihan Wen +2
The rapid development of AI models has led to a growing emphasis on enhancing their capabilities for complex input data such as videos. While large-scale video datasets have been i…
REHRSeg: Unleashing the Power of Self-Supervised Super-Resolution for Resource-Efficient 3D MRI Segmentation
Zhiyun Song, Yinjie Zhao, Xiaomin Li +9
High-resolution (HR) 3D magnetic resonance imaging (MRI) can provide detailed anatomical structural information, enabling precise segmentation of regions of interest for various me…