341 citations · 343 across the 6 of their papers we have counts for
3 papers · 1 filter
Sim2real Transfer Learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
Chengzhi Wu, Xuelei Bi, Julius Pfrommer +3
On robotics computer vision tasks, generating and annotating large amounts of data from real-world for the use of deep learning-based approaches is often difficult or even impossib…
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Chengzhi Wu, Julius Pfrommer, Jürgen Beyerer +2
We present an improved approach for 3D object detection in point cloud data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed meth…
Self-Supervised Generative-Contrastive Learning of Multi-Modal Euclidean Input for 3D Shape Latent Representations: A Dynamic Switching Approach
Chengzhi Wu, Julius Pfrommer, Mingyuan Zhou +1
We propose a combined generative and contrastive neural architecture for learning latent representations of 3D volumetric shapes. The architecture uses two encoder branches for vox…