3 papers
cs.CV2026
MVTrack: Ultrafast Appearance-Free Moving Object Tracking from Compressed Bitstreams
Iñaki Erregue, Kamal Nasrollahi, Sergio Escalera
Deploying modern video trackers at scale is bottlenecked by the computational cost of RGB-based object detectors. To this end, we present MVTrack, an ultrafast tracker for moving o…
cs.CV2026
PrismVAU: Prompt-Refined Inference System for Multimodal Video Anomaly Understanding
Iñaki Erregue, Iñaki Erregue, Kamal Nasrollahi +1
Video Anomaly Understanding (VAU) extends traditional Video Anomaly Detection (VAD) by not only localizing anomalies but also describing and reasoning about their context. Existing…
cs.CV2025
YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID
Iñaki Erregue, Kamal Nasrollahi, Sergio Escalera
We introduce YOLO11-JDE, a fast and accurate multi-object tracking (MOT) solution that combines real-time object detection with self-supervised Re-Identification (Re-ID). By incorp…