4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2021
What Stops Learning-based 3D Registration from Working in the Real World?
Zheng Dang, Lizhou Wang, Junning Qiu +2
Much progress has been made on the task of learning-based 3D point cloud registration, with existing methods yielding outstanding results on standard benchmarks, such as ModelNet40…
cs.CV2020★ 1 cited
A Method to Generate High Precision Mesh Model and RGB-D Datasetfor 6D Pose Estimation Task
Minglei Lu, Yu Guo, Fei Wang +1
Recently, 3D version has been improved greatly due to the development of deep neural networks. A high quality dataset is important to the deep learning method. Existing datasets fo…
cs.CV2018★ 4 cited
Monocular Object Orientation Estimation using Riemannian Regression and Classification Networks
Siddharth Mahendran, Ming Yang Lu, Haider Ali +1
We consider the task of estimating the 3D orientation of an object of known category given an image of the object and a bounding box around it. Recently, CNN-based regression and c…