5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CV2025
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker
Ting Meng, Chunyun Fu, Xiangyan Yan +4
Multi-object tracking plays a crucial role in various applications, such as autonomous driving and security surveillance. This study introduces Deep LG-Track, a novel multi-object…
cs.CV2023★ 5 cited
Localization-Guided Track: A Deep Association Multi-Object Tracking Framework Based on Localization Confidence of Detections
Ting Meng, Chunyun Fu, Mingguang Huang +4
In currently available literature, no tracking-by-detection (TBD) paradigm-based tracking method has considered the localization confidence of detection boxes. In most TBD-based me…
cs.CV2023
You Only Need Two Detectors to Achieve Multi-Modal 3D Multi-Object Tracking
Xiyang Wang, Chunyun Fu, Jiawei He +6
In the classical tracking-by-detection (TBD) paradigm, detection and tracking are separately and sequentially conducted, and data association must be properly performed to achieve…