Reconstructing accurate 3D scenes from images is a long-standing vision ...
Multi-frame depth estimation generally achieves high accuracy relying on...
This paper discusses the results for the second edition of the Monocular...
In the practical application of point cloud completion tasks, real data
...
The image-based 3D object detection task expects that the predicted 3D
b...
Depth map estimation from images is an important task in robotic systems...
Bird's eye view (BEV) representation is a new perception formulation for...
Due to the inherent ill-posed nature of 2D-3D projection, monocular 3D o...
Point clouds collected by real-world sensors are always unaligned and sp...
Monocular 3D object detection is of great significance for autonomous dr...
We propose a 3D object detection method for autonomous driving by fully
...
This paper aims at high-accuracy 3D object detection in autonomous drivi...
In this paper, we propose a novel edge preserving and multi-scale contex...
The goal of this paper is to perform 3D object detection in the context ...