Spatial Feature Mapping for 6DoF Object Pose Estimation

no code implementations • 3 Jun 2022 • Jianhan Mei, Xudong Jiang, Henghui Ding

To address the problem of rotation symmetry ambiguity for objects, a spherical convolution is utilized and the spherical features are combined with the convolutional features that are mapped to the graph.

Object Pose Estimation

Object 6D Pose Estimation with Non-local Attention

no code implementations • 20 Feb 2020 • Jianhan Mei, Henghui Ding, Xudong Jiang

In this paper, we address the challenging task of estimating 6D object pose from a single RGB image.

6D Pose Estimation Object +2

Quadtree Convolutional Neural Networks

no code implementations • ECCV 2018 • Pradeep Kumar Jayaraman, Jianhan Mei, Jianfei Cai, Jianmin Zheng

Specifically, the computational and memory costs in QCNN grow linearly in the number of non-zero pixels, as opposed to traditional CNNs where the costs are quadratic in the number of pixels.