Geometry & Learning from Data workshop at Banff, October 2021

Title: Efficient learning on curved surfaces via diffusion

3DGV Seminar Series, June 2021

Title: Robust and Efficient Geometric DL for Non-Rigid Shape Processing

Note: The lecture is followed by a panel discussion with Peter Wonka, Emanuele Rodolà and Michael Bronstein

London Geometry and Machine Learning, July 2021

Title: Robust learning-based methods for shape correspondence

Note: This lecture is part of the summer school on Machine Learning with many wonderful talks given by other speakers. See the program here.

TUM AI Lecture Series, March 2021

Title: Towards novel architectures for shape matching.

Sony &inCSL seminar, April 2021

Title: Efficient spectral methods for non-rigid shape comparison

6th Christmas Colloquium on Computer Vision (Skoltech & Samsung), December 2020

Title: Efficient Methods for 3D Shape Comparison

Note: The intro for this talk is in Russian, while the talk is in English

SGP 2020 Keynote, August 2020

Title: Efficient Methods for 3D Shape Comparison

SMI 2020 Keynote, June 2020

Title: Functional Approaches for Representing and Analyzing 3D Shapes With and Without Learning

Summer school on Machine Learning for Non-Matrix Data, June 2020

Title: 3D Shape Matching and Registration

ANR Artificial Intelligence Chair kick-off, September 2020

Title: AIGRETTE Analyzing large scale geometric data collections

GAMES: Graphics And Mixed Environment Seminar, September 2019

Title: Some recent methods in non-rigid shape matching, with and without learning

IPAM Program Geometry and Learning from Data in 3D and Beyond, Workshop II: Shape Analysis, April 2019

Title: Some recent methods in non-rigid shape matching, with and without learning

SGP 2017 graduate school, July 2017

Title: Shape Correspondence and Functional Maps

Jožef Stefan Institute Solomon seminar, September 2013

Title: Functional Maps: A Flexible Representation of Maps (with Applications)