2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.CV2024★ 2 cited
SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving
Diankun Zhang, Guoan Wang, Runwen Zhu +15
End-to-End paradigms use a unified framework to implement multi-tasks in an autonomous driving system. Despite simplicity and clarity, the performance of end-to-end autonomous driv…
cs.CV2023
Prototype-based Cross-Modal Object Tracking
Lei Liu, Chenglong Li, Futian Wang +2
Cross-modal object tracking is an important research topic in the field of information fusion, and it aims to address imaging limitations in challenging scenarios by integrating sw…
cs.CV2023
Cross-Modal Object Tracking via Modality-Aware Fusion Network and A Large-Scale Dataset
Lei Liu, Mengya Zhang, Cheng Li +2
Visual tracking often faces challenges such as invalid targets and decreased performance in low-light conditions when relying solely on RGB image sequences. While incorporating add…