3 papers
cs.CV2026
CoIn3D: Revisiting Configuration-Invariant Multi-Camera 3D Object Detection
Zhaonian Kuang, Rui Ding, Haotian Wang +3
Multi-camera 3D object detection (MC3D) has attracted increasing attention with the growing deployment of multi-sensor physical agents, such as robots and autonomous vehicles. Howe…
cs.CV2026
RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection
Rui Ding, Zhaonian Kuang, Zongwei Zhou +3
Multi-view 3D detection with bird's eye view (BEV) is crucial for autonomous driving and robotics, but its robustness in real-world is limited as it struggles to predict accurate d…
cs.CV2026
Object-Scene-Camera Decomposition and Recomposition for Data-Efficient Monocular 3D Object Detection
Zhaonian Kuang, Rui Ding, Meng Yang +2
Monocular 3D object detection (M3OD) is intrinsically ill-posed, hence training a high-performance deep learning based M3OD model requires a humongous amount of labeled data with c…