anomaly detection

A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 A Semantically Impactful Image Manipulation Dataset: Characterizing Image Manipulations using Semantic Significance WACV 2025 A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization CVPR 2025 Bagged Regularized k-Distances for Anomaly Detection JMLR 2025 Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images CVPR 2025 Beyond Pixel Uncertainty: Bounding the OoD Objects in Road Scenes ICCV 2025 Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search ICCV 2025 Bi-Level Optimization for Self-Supervised AI-Generated Face Detection ICCV 2025 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 Can LLMs Find a Needle in a Haystack? A Look at Anomaly Detection Language Modeling EMNLP 2025 Can LLMs Understand Time Series Anomalies? ICLR 2025 Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving AAAI 2025 CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching ICLR 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 CAVE : Detecting and Explaining Commonsense Anomalies in Visual Environments EMNLP 2025 Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model AISTATS 2025 Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning COLING 2025 Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models UAI 2025 Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection AAAI 2025 Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection CVPR 2025 CostFilter-AD: Enhancing Anomaly Detection through Matching Cost Filtering ICML 2025 D^3: Scaling Up Deepfake Detection by Learning from Discrepancy CVPR 2025 DADet: Safeguarding Image Conditional Diffusion Models against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection ICCV 2025 Data Monitoring for Large Scale Public Health Data AAAI 2025 Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection ICCV 2025