47 citations · 148 across the 20 of their papers we have counts for
20 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…
Are Neural Architecture Search Benchmarks Well Designed? A Deeper Look Into Operation Importance
Vasco Lopes, Bruno Degardin, Luís A. Alexandre
Neural Architecture Search (NAS) benchmarks significantly improved the capability of developing and comparing NAS methods while at the same time drastically reduced the computation…