Matthias Vestner

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence

Daniel Cremers, Samuel Rota Bulò, Emanuele Rodolà, 2016, Perspectives in Shape Analysis.

Dense Non-rigid Shape Correspondence Using Random Forests

Daniel Cremers, Samuel Rota Bulò, Emanuele Rodolà, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Efficient Deformable Shape Correspondence via Kernel Matching

Daniel Cremers, Alexander M. Bronstein, Michael M. Bronstein, 2017, 2017 International Conference on 3D Vision (3DV).

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space

Daniel Cremers, Alexander M. Bronstein, Emanuele Rodolà, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Machine Learning for Robotics and Computer Vision Winter term 2013 Homework Assignment 2 Topic: Regression November 15th, 2013

Rudolph Triebel, Matthias Vestner, 2013 .

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis

Daniel Cremers, Rudolph Triebel, Emanuele Rodolà, 2014, BMVC.

Bayesian Inference of Bijective Non-Rigid Shape Correspondence pdf

Daniel Cremers, Alexander M. Bronstein, Emanuele Rodolà, 2016, ArXiv.

Shape Correspondence with Isometric and Non-Isometric Deformations

Gary K. L. Tam, Daniel Cremers, Mathieu Aubry, 2019, 3DOR@Eurographics.