Papers
1–3 of 3Research Paper·Mar 9, 2026
On the Feasibility and Opportunity of Autoregressive 3D Object Detection
LiDAR-based 3D object detectors typically rely on proposal heads with hand-crafted components like anchor assignment and non-maximum suppression (NMS), complicating training and limiting extensibility...
7.0 viability
Research Paper·Mar 5, 2026
Fusion4CA: Boosting 3D Object Detection via Comprehensive Image Exploitation
Nowadays, an increasing number of works fuse LiDAR and RGB data in the bird's-eye view (BEV) space for 3D object detection in autonomous driving systems. However, existing methods suffer from over-rel...
7.0 viability
Research Paper·Mar 8, 2026
Multi-Modal Decouple and Recouple Network for Robust 3D Object Detection
Multi-modal 3D object detection with bird's eye view (BEV) has achieved desired advances on benchmarks. Nonetheless, the accuracy may drop significantly in the real world due to data corruption such a...
7.0 viability