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cs.CV2025
FSHNet: Fully Sparse Hybrid Network for 3D Object Detection
Shuai Liu, Mingyue Cui, Boyang Li +4
Fully sparse 3D detectors have recently gained significant attention due to their efficiency in long-range detection. However, sparse 3D detectors extract features only from non-em…
cs.CV2024
4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole
Daosong Hu, Ruomeng Wang, Liang Zhao +3
The three-dimensional vascular model reconstructed from CT images is widely used in medical diagnosis. At different phases, the beating of the heart can cause deformation of vessel…
cs.CV2024★ 1 cited
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors
Shuai Liu, Boyang Li, Zhiyu Fang +2
LiDAR-based 3D object detection has made impressive progress recently, yet most existing models are black-box, lacking interpretability. Previous explanation approaches primarily f…