PI-Net: A Deep Learning Approach to Extract Topological Persistence Images

5 June 2019

Papers citing "PI-Net: A Deep Learning Approach to Extract Topological Persistence Images"

7 / 7 papers shown

Title
Leveraging Topological Guidance for Improved Knowledge Distillation Eun Som Jeon Rahul Khurana Aishani Pathak P. Turaga 49 0 0 07 Jul 2024
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data Eun Som Jeon Hongjun Choi A. Shukla Yuan Wang Hyunglae Lee M. Buman P. Turaga 27 3 0 07 Jul 2024
Topological Attention for Time Series Forecasting Sebastian Zeng Florian Graf Christoph Hofer Roland Kwitt AI4TS 11 24 0 19 Jul 2021
Can neural networks learn persistent homology features? Guido Montúfar N. Otter Yuguang Wang 23 12 0 30 Nov 2020
A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images Chuan-Shen Hu Yu-Min Chung 10 0 0 27 Nov 2020
Designing Deep Networks for Surface Normal Estimation X. Wang David Fouhey Abhinav Gupta 3DV SSL 161 353 0 18 Nov 2014
Statistical topological data analysis using persistence landscapes Peter Bubenik 106 846 0 27 Jul 2012