research
∙
09/10/2023
Geometrically Consistent Partial Shape Matching
Finding correspondences between 3D shapes is a crucial problem in comput...
share
research
∙
08/16/2023
SIGMA: Scale-Invariant Global Sparse Shape Matching
We propose a novel mixed-integer programming (MIP) formulation for gener...
research
∙
07/24/2023
Adaptive Certified Training: Towards Better Accuracy-Robustness Tradeoffs
As deep learning models continue to advance and are increasingly utilize...
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...
research
∙
04/27/2023
Unsupervised Learning of Robust Spectral Shape Matching
We propose a novel learning-based approach for robust 3D shape matching....
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...
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...
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...
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...
research
∙
07/20/2022
Unsupervised Deep Multi-Shape Matching
3D shape matching is a long-standing problem in computer vision and comp...
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...
research
∙
06/20/2022
Efficient and Flexible Sublabel-Accurate Energy Minimization
We address the problem of minimizing a class of energy functions consist...
research
∙
05/13/2022
A Unified Framework for Implicit Sinkhorn Differentiation
The Sinkhorn operator has recently experienced a surge of popularity in ...
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...
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...
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...
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...
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...
research
∙
10/21/2021
Convex Joint Graph Matching and Clustering via Semidefinite Relaxations
This paper proposes a new algorithm for simultaneous graph matching and ...
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...
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...
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...
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...
research
∙
12/04/2020
Isometric Multi-Shape Matching
Finding correspondences between shapes is a fundamental problem in compu...
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...
research
∙
09/20/2020
PIE: Portrait Image Embedding for Semantic Control
Editing of portrait images is a very popular and important research topi...
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...
research
∙
03/31/2020
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
StyleGAN generates photorealistic portrait images of faces with eyes, te...
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 ...
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...
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...
research
∙
10/24/2019
Convex Optimisation for Inverse Kinematics
We consider the problem of inverse kinematics (IK), where one wants to f...
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 ...
research
∙
12/18/2018
FML: Face Model Learning from Videos
Monocular image-based 3D reconstruction of faces is a long-standing prob...
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...
research
∙
09/11/2018
Neural Animation and Reenactment of Human Actor Videos
We propose a method for generating (near) video-realistic animations of ...
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 ...
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 ...
research
∙
03/16/2018
Synchronisation of Partial Multi-Matchings via Non-negative Factorisations
In this work we study permutation synchronisation for the challenging ca...
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...
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 ...
research
∙
11/29/2017
Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems
In this work we study convex relaxations of quadratic optimisation probl...
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...
research
∙
01/25/2017
Distributed methods for synchronization of orthogonal matrices over graphs
This paper addresses the problem of synchronizing orthogonal matrices ov...
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...
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...
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 ...
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...
research
∙
10/30/2014
