5 papers
FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding
João Pereira, Vasco Lopes, João Neves +1
Video Anomaly Understanding (VAU) is a novel task focused on describing unusual occurrences in videos. Despite growing interest, the evaluation of VAU remains an open challenge. Ex…
Chain-of-Anomaly Thoughts with Large Vision-Language Models
Pedro Domingos, João Pereira, Vasco Lopes +2
Automated video surveillance with Large Vision-Language Models is limited by their inherent bias towards normality, often failing to detect crimes. While Chain-of-Thought reasoning…
Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes +2
Video-based person re-identification (ReID) in cross-view domains (for example, aerial-ground surveillance) remains an open problem because of extreme viewpoint shifts, scale dispa…
Self-ReS: Self-Reflection in Large Vision-Language Models for Long Video Understanding
Joao Pereira, Vasco Lopes, David Semedo +1
Large Vision-Language Models (LVLMs) demonstrate remarkable performance in short-video tasks such as video question answering, but struggle in long-video understanding. The linear…
Zero-Shot Action Recognition in Surveillance Videos
Joao Pereira, Vasco Lopes, David Semedo +1
The growing demand for surveillance in public spaces presents significant challenges due to the shortage of human resources. Current AI-based video surveillance systems heavily rel…