iGDL 2020: Israeli Geometric Deep Learning Workshop


August 2nd, 2020 2:00PM-7:00PM (Israel timezone), Virtual


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14:00 - 14:10 pm Opening Remarks
14:10 - 14:40 pm
Yaron Lipman
Title: Implicit Neural Representations
14:40-15:40 pm

5 x (10+2 minutes) 		Short talk session 1
  1. Alon Lahav (Technion) MeshWalker: Deep Mesh Understanding by Random Walks
  2. Itai Lang (TAU) SampleNet: Differentiable Point Cloud Sampling
  3. Itzik Ben Shabat (ANU) DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares
  4. Dahlia Urbach (Technion) DPDist : Comparing Point Clouds Using Deep Point Cloud Distance
  5. Ethan Fetaya (BIU) On Learning Sets of Symmetric Elements
15:40 - 16:10 pm
Gal Chechik
Title: Image understanding using semantic graph representations
16:10-16:20 pm Short break
16:20 - 17:20 pm

5 x (10+2 minutes) 		Short talk session 2
  1. Ilay Luz (WIS) Learning Algebraic Multigrid Using Graph Neural Networks
  2. Moshe Eliasof (BGU) Graph Convolutional Networks via Differential Operators
  3. Roi Herzig (TAU) Compositional Video Synthesis with Action Graphs
  4. Amit Bracha (Technion) Shape correspondence by aligning scale-invariant LBO eigenfunctions
  5. Leah Bar (TAU) Strong Solutions for PDE-Based Tomography by Unsupervised Learning
17:20-17:50 pm
Michael Bronstein
Title: Is geometric deep learning successful and how to make it happen?
17:50 - 18:50 pm

5 x (10+2 minutes) 		Short talk session 3
  1. Uri Alon (Technion) On the Bottleneck of Graph Neural Networks and its Practical Implications
  2. Matan Atzmon (WIS) Isometric Autoencoders
  3. Rana Hanocka (TAU) Point2Mesh: A Self-Prior for Deformable Meshes
  4. Ron Shapira Weber (BGU) Diffeomorphic Temporal Alignment Nets
  5. Or Litany (Stanford) PointContrast: Unsupervised Pretraining for 3D Point Cloud Understanding
18:50-19:00 pm Concluding Remarks



Contact Info

Please email one of the organizers directly