3 papers
cs.CV2026
OpenHome: From Perception to Insight in Smart-Home Camera Videos
Xianglong Wang, Neil Rodrigues, Pei Guo +9
Vision language models (VLMs) have been increasingly adopted in consumer smart-home camera systems to interpret recorded videos and provide insights. However, video clips captured…
cs.LG2025
ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification
Congjing Zhang, Feng Lin, Xinyi Zhao +5
The advance of Large Language Models (LLMs) has greatly stimulated research interest in developing multi-modal LLM (MLLM)-based visual anomaly detection (VAD) algorithms that can b…
cs.CV2025
SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models
Xinyi Zhao, Congjing Zhang, Pei Guo +4
Video anomaly detection (VAD) is essential for enhancing safety and security by identifying unusual events across different environments. Existing VAD benchmarks, however, are prim…