12 citations · 45 across the 9 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023
Frame Fusion with Vehicle Motion Prediction for 3D Object Detection
Xirui Li, Feng Wang, Naiyan Wang +1
In LiDAR-based 3D detection, history point clouds contain rich temporal information helpful for future prediction. In the same way, history detections should contribute to future d…
cs.CV2023★ 6 cited
UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
Shengchao Zhou, Weizhou Liu, Chen Hu +2
In the field of 3D object detection for autonomous driving, the sensor portfolio including multi-modality and single-modality is diverse and complex. Since the multi-modal methods…
cs.CV2023★ 4 cited
Pillar R-CNN for Point Cloud 3D Object Detection
Guangsheng Shi, Ruifeng Li, Chao Ma
The performance of point cloud 3D object detection hinges on effectively representing raw points, grid-based voxels or pillars. Recent two-stage 3D detectors typically take the poi…