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, Kamal Nasrollahi, Sergio Escalera
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…