7 papers
AD-Copilot: A Vision-Language Assistant for Industrial Anomaly Detection via Visual In-context Comparison
Xi Jiang, Yue Guo, Jian Li +7
Multimodal Large Language Models (MLLMs) have achieved impressive success in natural visual understanding, yet they consistently underperform in industrial anomaly detection (IAD).…
Context-aware Privacy Bounds for Linear Queries
Heng Zhao, Sara Saeidian, Tobias J. Oechtering
Linear queries, as the basis of broad analysis tasks, are often released through privacy mechanisms based on differential privacy (DP), the most popular framework for privacy prote…
Agentic Spatio-Temporal Grounding via Collaborative Reasoning
Heng Zhao, Yew-Soon Ong, Joey Tianyi Zhou
Spatio-Temporal Video Grounding (STVG) aims to retrieve the spatio-temporal tube of a target object or person in a video given a text query. Most existing approaches perform frame-…
DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication
Zehan Zhu, Heng Zhao, Yan Huang +3
In this paper, we propose a Differentially Private Stochastic Gradient Push with Compressed communication (termed DP-CSGP) for decentralized learning over directed graphs. Differen…
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,…