Media Summary: Authors: Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov Description: We present a novel learning-based approach for ... Authors: Marvin Eisenberger, Zorah Lähner, Daniel Cremers Description: We propose a novel 3D shape correspondence method ... Short presentation of the 3DV 2021 paper: "DPFM:

Deep Geometric Functional Maps Robust - Detailed Analysis & Overview

Authors: Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov Description: We present a novel learning-based approach for ... Authors: Marvin Eisenberger, Zorah Lähner, Daniel Cremers Description: We propose a novel 3D shape correspondence method ... Short presentation of the 3DV 2021 paper: "DPFM: Speaker: Robin Magnet (INRIA Paris) Abstract: This course provides an overview of modern methods for non-rigid shape ... In this talk I will describe several recent works aimed at developing accurate and Speaker: Alex Bronstein, Technion, Israel WORKSHOP ON MACHINE LEARNING & HARDWARE SECURITY ...

Emilian Postolache, Sapienza University of Rome Marco Fumero, Sapienza University of Rome Luca Cosmo, Sapienza University ... Building Matryoshka dolls (Russian Nesting Dolls), is all well and good. But what if you could write a computer program that could ... Title: Towards novel architectures for shape matching and comparison Abstract: In this talk I will describe several recent works ... Speaker: Elissa Ross from MESH Consultants.

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Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
Michael Bronstein: "Deep functional maps: intrinsic structured prediction..."
Smooth Shells: Multi-Scale Shape Registration With Functional Maps
FOSS4G 2021 - Fast, Robust Arithmetics for Geometric Algorithms and Applications to GIS
DPFM: Deep Partial Functional Maps (3DV 2021)
Shape Correspondence and Functional Maps
Peter Zhang - Robust Paths: Geometry and Computation
"Robust Methods for Non-Rigid Spectral ShapeMatching" by Robin Magnet
LOGML - Maks Ovsjanikov: Robust learning-based methods for shape correspondence
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching
Geometry and learning in shape correspondence problems
L5 Learning Geom   d GH, LBO Optimality, Functional Maps
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Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Authors: Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov Description: We present a novel learning-based approach for ...

Michael Bronstein: "Deep functional maps: intrinsic structured prediction..."

Michael Bronstein: "Deep functional maps: intrinsic structured prediction..."

New

Sponsored
Smooth Shells: Multi-Scale Shape Registration With Functional Maps

Smooth Shells: Multi-Scale Shape Registration With Functional Maps

Authors: Marvin Eisenberger, Zorah Lähner, Daniel Cremers Description: We propose a novel 3D shape correspondence method ...

FOSS4G 2021 - Fast, Robust Arithmetics for Geometric Algorithms and Applications to GIS

FOSS4G 2021 - Fast, Robust Arithmetics for Geometric Algorithms and Applications to GIS

Geometric

DPFM: Deep Partial Functional Maps (3DV 2021)

DPFM: Deep Partial Functional Maps (3DV 2021)

Short presentation of the 3DV 2021 paper: "DPFM:

Sponsored
Shape Correspondence and Functional Maps

Shape Correspondence and Functional Maps

Symposium on

Peter Zhang - Robust Paths: Geometry and Computation

Peter Zhang - Robust Paths: Geometry and Computation

More information on our webpage: https://sites.google.com/view/row-series/home.

"Robust Methods for Non-Rigid Spectral ShapeMatching" by Robin Magnet

"Robust Methods for Non-Rigid Spectral ShapeMatching" by Robin Magnet

Speaker: Robin Magnet (INRIA Paris) Abstract: This course provides an overview of modern methods for non-rigid shape ...

LOGML - Maks Ovsjanikov: Robust learning-based methods for shape correspondence

LOGML - Maks Ovsjanikov: Robust learning-based methods for shape correspondence

In this talk I will describe several recent works aimed at developing accurate and

Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching

Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching

Short overview of the paper "

Geometry and learning in shape correspondence problems

Geometry and learning in shape correspondence problems

Speaker: Alex Bronstein, Technion, Israel @VIRTUAL WORKSHOP ON MACHINE LEARNING & HARDWARE SECURITY ...

L5 Learning Geom   d GH, LBO Optimality, Functional Maps

L5 Learning Geom d GH, LBO Optimality, Functional Maps

Lecture 5 Learning

SGP 2020: A parametric analysis of discrete Hamiltonian functional maps

SGP 2020: A parametric analysis of discrete Hamiltonian functional maps

Emilian Postolache, Sapienza University of Rome Marco Fumero, Sapienza University of Rome Luca Cosmo, Sapienza University ...

Matryoshka Bunnies and Robust Geometry Processing - 2-Minute Math with Alec Jacobson

Matryoshka Bunnies and Robust Geometry Processing - 2-Minute Math with Alec Jacobson

Building Matryoshka dolls (Russian Nesting Dolls), is all well and good. But what if you could write a computer program that could ...

TUM AI Lecture Series - Towards novel architectures for shape matching... (Maks Ovsjanikov)

TUM AI Lecture Series - Towards novel architectures for shape matching... (Maks Ovsjanikov)

Title: Towards novel architectures for shape matching and comparison Abstract: In this talk I will describe several recent works ...

Robust Geometric Algorithms: A Data-Driven Approach

Robust Geometric Algorithms: A Data-Driven Approach

Speaker: Elissa Ross from MESH Consultants.

3DGV Seminar: Maks Ovsjanikov --- Robust and Efficient Geometric DL for Non-Rigid Shape Processing

3DGV Seminar: Maks Ovsjanikov --- Robust and Efficient Geometric DL for Non-Rigid Shape Processing

Title: Towards

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