3 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CV2025★ 3 cited
DGFusion: Dual-guided Fusion for Robust Multi-Modal 3D Object Detection
Feiyang Jia, Caiyan Jia, Ailin Liu +6
As a critical task in autonomous driving perception systems, 3D object detection is used to identify and track key objects, such as vehicles and pedestrians. However, detecting dis…
cs.CV2024★ 1 cited
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection
Lin Liu, Ziying Song, Qiming Xia +4
LiDAR-based sparse 3D object detection plays a crucial role in autonomous driving applications due to its computational efficiency advantages. Existing methods either use the featu…
cs.CV2023★ 3 cited
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Yan Gong, Xinyu Zhang, Hao Liu +7
Multi-modal fusion is increasingly being used for autonomous driving tasks, as different modalities provide unique information for feature extraction. However, the existing two-str…