CGATracker: Correlation-Aware Graph Alignment for Referring Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3576341
Abstract: Referring multi-object tracking (RMOT) aims to identify specific targets based on sentence descriptions. To enhance multi-modal learning, previous works typically rely on a simple fusion module at early or late stages. However, those methods frequently… read more here.
Keywords: referring multi; aware graph; correlation aware; alignment ... See more keywords
Visual-Linguistic Feature Alignment With Semantic and Kinematic Guidance for Referring Multi-Object Tracking
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2025.3557710
Abstract: Referring Multi-Object Tracking (RMOT) aims to dynamically track an arbitrary number of referred targets in a video sequence according to the language expression. Previous methods mainly focus on cross-modal fusion at the feature level with… read more here.
Keywords: referring multi; visual linguistic; alignment; language ... See more keywords