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All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent
  Representations with Graph Convolutional Networks

All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks

7 January 2019
Stephen Phillips
Kostas Daniilidis
    GNN
ArXivPDFHTML

Papers citing "All Graphs Lead to Rome: Learning Geometric and Cycle-Consistent Representations with Graph Convolutional Networks"

3 / 3 papers shown
Title
Graph Convolutional Network for Multi-Target Multi-Camera Vehicle
  Tracking
Graph Convolutional Network for Multi-Target Multi-Camera Vehicle Tracking
Elena Luna
Juan Carlos San Miguel
J. Sanchez
Marcos Escudero-Viñolo
31
4
0
28 Nov 2022
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
30
117
0
16 Dec 2020
3DRegNet: A Deep Neural Network for 3D Point Registration
3DRegNet: A Deep Neural Network for 3D Point Registration
Goncalo Dias Pais
Srikumar Ramalingam
V. Govindu
Jacinto C. Nascimento
Rama Chellappa
Pedro Miraldo
3DPC
3DV
47
220
0
02 Apr 2019
1