113 citations · 283 across the 14 of their papers we have counts for
Showing 2023 · cs.CVShow all
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cs.CV2023
TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation
Rong Li, ShiJie Li, Xieyuanli Chen +3
LiDAR semantic segmentation plays a crucial role in enabling autonomous driving and robots to understand their surroundings accurately and robustly. A multitude of methods exist wi…
cs.CV2023
Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking
Teli Ma, Mengmeng Wang, Jimin Xiao +2
Siamese network has been a de facto benchmark framework for 3D LiDAR object tracking with a shared-parametric encoder extracting features from template and search region, respectiv…
cs.CV2023
Correlation Pyramid Network for 3D Single Object Tracking
Mengmeng Wang, Teli Ma, Xingxing Zuo +2
3D LiDAR-based single object tracking (SOT) has gained increasing attention as it plays a crucial role in 3D applications such as autonomous driving. The central problem is how to…