3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 3 cited
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds
Tianyang Li, Xin Wen, Yu-Shen Liu +2
Deep Implicit Function (DIF) has gained popularity as an efficient 3D shape representation. To capture geometry details, current methods usually learn DIF using local latent codes,…
cs.CV2020
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
Rui Xiang, Feng Zheng, Huapeng Su +1
In this paper, we propose an end-to-end deep learning network named 3dDepthNet, which produces an accurate dense depth image from a single pair of sparse LiDAR depth and color imag…
cs.CV2018
Classification of Protein Crystallization X-Ray Images Using Major Convolutional Neural Network Architectures
Soheil Ghafurian, Peter Orth, Corey Strickland +4
The generation of protein crystals is necessary for the study of protein molecular function and structure. This is done empirically by processing large numbers of crystallization t…