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PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features
Quantization-based methods are widely used in LiDAR points 3D object detection for its efficiency in extracting context information.
Phase Space Reconstruction Network for Lane Intrusion Action Recognition
In a complex road traffic scene, illegal lane intrusion of pedestrians or cyclists constitutes one of the main safety challenges in autonomous driving application.
Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition
To appropriately describe the relations between joints in the skeleton graph, we propose a multi-scale graph strategy, adopting a full-scale graph, part-scale graph, and core-scale graph to capture the local features of each joint and the contour features of important joints.
Successive Ray Refinement and Its Application to Coordinate Descent for LASSO
Coordinate descent is one of the most popular approaches for solving Lasso and its extensions due to its simplicity and efficiency.
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