Machine Learning for Detection of 3D Features using sparse X-ray data

2 June 2022

Papers citing "Machine Learning for Detection of 3D Features using sparse X-ray data"

10 / 10 papers shown

Title
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era Xian-Feng Han Hamid Laga Bennamoun 3DV 70 352 0 15 Jun 2019
Transformable Bottleneck Networks Kyle Olszewski Sergey Tulyakov Oliver J. Woodford Hao Li Linjie Luo 74 77 0 13 Apr 2019
TraVeLGAN: Image-to-image Translation by Transformation Vector Learning Matthew Amodio Smita Krishnaswamy GAN 111 108 0 25 Feb 2019
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction Bo Yang Sen Wang Andrew Markham Niki Trigoni 3DPC 3DV 93 141 0 02 Aug 2018
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation Edward James Smith Scott Fujimoto David Meger SupR 62 53 0 27 Feb 2018
Full-pulse Tomographic Reconstruction with Deep Neural Networks D. R. Ferreira P. Carvalho H. Fernandes 36 24 0 02 Feb 2018
Deep learning for plasma tomography using the bolometer system at JET F. Matos D. R. Ferreira P. Carvalho JET Contributors 46 43 0 02 Jan 2017
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 752 37,895 0 20 May 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Chris Choy Danfei Xu JunYoung Gwak Kevin Chen Silvio Savarese 3DV 92 1,720 0 02 Apr 2016