20 citations · 84 across the 28 of their papers we have counts for
4 papers · 1 filter
Multi-resolution Monocular Depth Map Fusion by Self-supervised Gradient-based Composition
Yaqiao Dai, Renjiao Yi, Chenyang Zhu +2
Monocular depth estimation is a challenging problem on which deep neural networks have demonstrated great potential. However, depth maps predicted by existing deep models usually l…
6DOF Pose Estimation of a 3D Rigid Object based on Edge-enhanced Point Pair Features
Chenyi Liu, Fei Chen, Lu Deng +5
The point pair feature (PPF) is widely used for 6D pose estimation. In this paper, we propose an efficient 6D pose estimation method based on the PPF framework. We introduce a well…
DisARM: Displacement Aware Relation Module for 3D Detection
Yao Duan, Chenyang Zhu, Yuqing Lan +3
We introduce Displacement Aware Relation Module (DisARM), a novel neural network module for enhancing the performance of 3D object detection in point cloud scenes. The core idea of…
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization
Yunfan Ye, Renjiao Yi, Zhiping Cai +1
Learning-based edge detection has hereunto been strongly supervised with pixel-wise annotations which are tedious to obtain manually. We study the problem of self-training edge det…