37 citations · 44 across the 5 of their papers we have counts for
5 papers
VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data
Yifan Wang, Guoli Yan, Haikuan Zhu +5
The motivation of our work is to present a new visualization-guided computing paradigm to combine direct 3D volume processing and volume rendered clues for effective 3D exploration…
DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network
Yifan Wang, Zichun Zhong, Jing Hua
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visualize high-fidelity 3D / 4D organ geometric models from single-view medical image…
Attention-based Deep Reinforcement Learning for Multi-view Environments
Elaheh Barati, Xuewen Chen, Zichun Zhong
In reinforcement learning algorithms, it is a common practice to account for only a single view of the environment to make the desired decisions; however, utilizing multiple views…
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
Artem Komarichev, Zichun Zhong, Jing Hua
Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometr…
Surface Approximation via Asymptotic Optimal Geometric Partition
Yiqi Cai, Xiaohu Guo, Yang Liu +3
In this paper, we present a surface remeshing method with high approximation quality based on Principal Component Analysis. Given a triangular mesh and a user assigned polygon/vert…