1 citations · 1 across the 5 of their papers we have counts for
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MM-Future: Multi-Mode Joint World-Action Modeling for Autonomous Driving
Shuai Liu, Hechangle Gong, Hao Jiang +5
Autonomous driving involves coupled decision-making and scene evolution under multi-mode uncertainty. To capture this coupling and uncertainty, we introduce MM-Future, a world-acti…
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…
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…
NIV-SSD: Neighbor IoU-Voting Single-Stage Object Detector From Point Cloud
Shuai Liu, Di Wang, Quan Wang +1
Previous single-stage detectors typically suffer the misalignment between localization accuracy and classification confidence. To solve the misalignment problem, we introduce a nov…
DCDet: Dynamic Cross-based 3D Object Detector
Shuai Liu, Boyang Li, Zhiyu Fang +1
Recently, significant progress has been made in the research of 3D object detection. However, most prior studies have focused on the utilization of center-based or anchor-based lab…