Florian Bernard

research

∙ 09/10/2023

Geometrically Consistent Partial Shape Matching

Finding correspondences between 3D shapes is a crucial problem in comput...

0 Viktoria Ehm, et al. ∙

research

∙ 08/16/2023

SIGMA: Scale-Invariant Global Sparse Shape Matching

We propose a novel mixed-integer programming (MIP) formulation for gener...

0 Maolin Gao, et al. ∙

research

∙ 07/24/2023

Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs

As deep learning models continue to advance and are increasingly utilize...

0 Zhakshylyk Nurlanov, et al. ∙

research

∙ 05/15/2023

Non-Separable Multi-Dimensional Network Flows for Visual Computing

Flows in networks (or graphs) play a significant role in numerous comput...

0 Viktoria Ehm, et al. ∙

research

∙ 04/27/2023

Unsupervised Learning of Robust Spectral Shape Matching

We propose a novel learning-based approach for robust 3D shape matching....

0 Dongliang Cao, et al. ∙

research

∙ 03/20/2023

Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

The matching of 3D shapes has been extensively studied for shapes repres...

0 Dongliang Cao, et al. ∙

research

∙ 12/01/2022

Universe Points Representation Learning for Partial Multi-Graph Matching

Many challenges from natural world can be formulated as a graph matching...

0 Zhakshylyk Nurlanov, et al. ∙

research

∙ 11/21/2022

Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching

We consider the problem of finding a continuous and non-rigid matching b...

0 Paul Roetzer, et al. ∙

research

∙ 10/04/2022

HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow

Reconstructing two-hand interactions from a single image is a challengin...

19 Jiayi Wang, et al. ∙

research

∙ 07/20/2022

Unsupervised Deep Multi-Shape Matching

3D shape matching is a long-standing problem in computer vision and comp...

0 Dongliang Cao, et al. ∙

research

∙ 07/01/2022

A Comparative Study of Graph Matching Algorithms in Computer Vision

The graph matching optimization problem is an essential component for ma...

8 Stefan Haller, et al. ∙

research

∙ 06/20/2022

Efficient and Flexible Sublabel-Accurate Energy Minimization

We address the problem of minimizing a class of energy functions consist...

0 Zhakshylyk Nurlanov, et al. ∙

research

∙ 05/13/2022

A Unified Framework for Implicit Sinkhorn Differentiation

The Sinkhorn operator has recently experienced a surge of popularity in ...

3 Marvin Eisenberger, et al. ∙

research

∙ 04/29/2022

Neural Implicit Representations for Physical Parameter Inference from a Single Video

Neural networks have recently been used to analyze diverse physical syst...

13 Florian Hofherr, et al. ∙

research

∙ 04/27/2022

A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching

We present a scalable combinatorial algorithm for globally optimizing ov...

17 Paul Roetzer, et al. ∙

research

∙ 04/05/2022

The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positions

The estimation of the relative pose of two camera views is a fundamental...

0 Dominik Muhle, et al. ∙

research

∙ 03/30/2022

HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering

Implicit neural representations of 3D shapes form strong priors that are...

0 Tarun Yenamandra, et al. ∙

research

∙ 12/08/2021

Shortest Paths in Graphs with Matrix-Valued Edges: Concepts, Algorithm and Application to 3D Multi-Shape Analysis

Finding shortest paths in a graph is relevant for numerous problems in c...

0 Viktoria Ehm, et al. ∙

research

∙ 10/21/2021

Convex Joint Graph Matching and Clustering via Semidefinite Relaxations

This paper proposes a new algorithm for simultaneous graph matching and ...

0 Maximilian Krahn, et al. ∙

research

∙ 09/30/2021

Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation

We address the non-convex optimisation problem of finding a sparse matri...

0 Florian Bernard, et al. ∙

research

∙ 06/22/2021

RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video

Tracking and reconstructing the 3D pose and geometry of two hands in int...

11 Jiayi Wang, et al. ∙

research

∙ 06/15/2021

Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera

We present a novel method for real-time pose and shape reconstruction of...

0 Franziska Mueller, et al. ∙

research

∙ 03/31/2021

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

Graph matching aims to establish correspondences between vertices of gra...

0 Zhenzhang Ye, et al. ∙

research

∙ 12/04/2020

Isometric Multi-Shape Matching

Finding correspondences between shapes is a fundamental problem in compu...

0 Maolin Gao, et al. ∙

research

∙ 11/28/2020

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

We present the first deep implicit 3D morphable model (i3DMM) of full he...

5 Tarun Yenamandra, et al. ∙

research

∙ 09/20/2020

PIE: Portrait Image Embedding for Semantic Control

Editing of portrait images is a very popular and important research topi...

1 Ayush Tewari, et al. ∙

research

∙ 07/06/2020

Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation

We propose to use a model-based generative loss for training hand pose e...

6 Jiayi Wang, et al. ∙

research

∙ 03/31/2020

StyleRig: Rigging StyleGAN for 3D Control over Portrait Images

StyleGAN generates photorealistic portrait images of faces with eyes, te...

0 Ayush Tewari, et al. ∙

research

∙ 02/28/2020

MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment

We present a convex mixed-integer programming formulation for non-rigid ...

0 Florian Bernard, et al. ∙

research

∙ 01/14/2020

Neural Human Video Rendering: Joint Learning of Dynamic Textures and Rendering-to-Video Translation

Synthesizing realistic videos of humans using neural networks has been a...

1 Lingjie Liu, et al. ∙

research

∙ 01/14/2020

Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation

Synthesizing realistic videos of humans using neural networks has been a...

0 Lingjie Liu, et al. ∙

research

∙ 10/24/2019

Convex Optimisation for Inverse Kinematics

We consider the problem of inverse kinematics (IK), where one wants to f...

0 Tarun Yenamandra, et al. ∙

research

∙ 09/03/2019

3D Morphable Face Models – Past, Present and Future

In this paper, we provide a detailed survey of 3D Morphable Face Models ...

0 Bernhard Egger, et al. ∙

research

∙ 12/18/2018

FML: Face Model Learning from Videos

Monocular image-based 3D reconstruction of faces is a long-standing prob...

30 Ayush Tewari, et al. ∙

research

∙ 11/26/2018

Higher-order Projected Power Iterations for Scalable Multi-Matching

The matching of multiple objects (e.g. shapes or images) is a fundamenta...

0 Florian Bernard, et al. ∙

research

∙ 09/11/2018

Neural Animation and Reenactment of Human Actor Videos

We propose a method for generating (near) video-realistic animations of ...

4 Lingjie Liu, et al. ∙

research

∙ 05/07/2018

A Lifting method for analyzing distributed synchronization on the unit sphere

This paper introduces a new lifting method for analyzing convergence of ...

0 Johan Thunberg, et al. ∙

research

∙ 05/07/2018

Lifting method for analyzing distributed synchronization on the unit sphere

This paper introduces a new lifting method for analyzing convergence of ...

0 Johan Thunberg, et al. ∙

research

∙ 03/16/2018

Synchronisation of Partial Multi-Matchings via Non-negative Factorisations

In this work we study permutation synchronisation for the challenging ca...

0 Florian Bernard, et al. ∙

research

∙ 12/07/2017

Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250 Hz

The reconstruction of dense 3D models of face geometry and appearance fr...

0 Ayush Tewari, et al. ∙

research

∙ 12/04/2017

GANerated Hands for Real-time 3D Hand Tracking from Monocular RGB

We address the highly challenging problem of real-time 3D hand tracking ...

0 Franziska Mueller, et al. ∙

research

∙ 11/29/2017

Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems

In this work we study convex relaxations of quadratic optimisation probl...

0 Florian Bernard, et al. ∙

research

∙ 03/30/2017

MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

In this work we propose a novel model-based deep convolutional autoencod...

0 Ayush Tewari, et al. ∙

research

∙ 01/25/2017

Distributed methods for synchronization of orthogonal matrices over graphs

This paper addresses the problem of synchronizing orthogonal matrices ov...

0 Johan Thunberg, et al. ∙

research

∙ 11/16/2016

A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching

We propose a combinatorial solution for the problem of non-rigidly match...

0 Florian Bernard, et al. ∙

research

∙ 02/26/2016

Shape-aware Surface Reconstruction from Sparse 3D Point-Clouds

The reconstruction of an object's shape or surface from a set of 3D poin...

0 Florian Bernard, et al. ∙

research

∙ 10/28/2015

Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation

Representing 3D shape deformations by linear models in high-dimensional ...

0 Florian Bernard, et al. ∙

research

∙ 09/02/2015

On Transitive Consistency for Linear Invertible Transformations between Euclidean Coordinate Systems

Transitive consistency is an intrinsic property for collections of linea...

0 Johan Thunberg, et al. ∙

research

∙ 10/30/2014

A Solution for Multi-Alignment by Transformation Synchronisation

The alignment of a set of objects by means of transformations plays an i...

0 Florian Bernard, et al. ∙

Florian Bernard

Featured Co-authors