8 citations · 19 across the 9 of their papers we have counts for
11 papers
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning
Zhenzhang Ye, Thomas Möllenhoff, Tao Wu +1
Structured convex optimization on weighted graphs finds numerous applications in machine learning and computer vision. In this work, we propose a novel adaptive preconditioning str…
Informative GANs via Structured Regularization of Optimal Transport
Pierre Bréchet, Tao Wu, Thomas Möllenhoff +1
We tackle the challenge of disentangled representation learning in generative adversarial networks (GANs) from the perspective of regularized optimal transport (OT). Specifically,…
Variational Uncalibrated Photometric Stereo under General Lighting
Bjoern Haefner, Zhenzhang Ye, Maolin Gao +3
Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions,…
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
Emanuel Laude, Tao Wu, Daniel Cremers
In this work, we consider nonconvex composite problems that involve inf-convolution with a Legendre function, which gives rise to an anisotropic generalization of the proximal mapp…
Probabilistic Discriminative Learning with Layered Graphical Models
Yuesong Shen, Tao Wu, Csaba Domokos +1
Probabilistic graphical models are traditionally known for their successes in generative modeling. In this work, we advocate layered graphical models (LGMs) for probabilistic discr…
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
Lingni Ma, Jörg Stückler, Tao Wu +1
Dense pixelwise prediction such as semantic segmentation is an up-to-date challenge for deep convolutional neural networks (CNNs). Many state-of-the-art approaches either tackle th…
Combinatorial Preconditioners for Proximal Algorithms on Graphs
Thomas Möllenhoff, Zhenzhang Ye, Tao Wu +1
We present a novel preconditioning technique for proximal optimization methods that relies on graph algorithms to construct effective preconditioners. Such combinatorial preconditi…
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization
Emanuel Laude, Tao Wu, Daniel Cremers
We tackle highly nonconvex, nonsmooth composite optimization problems whose objectives comprise a Moreau-Yosida regularized term. Classical nonconvex proximal splitting algorithms,…
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution
Yvain Quéau, Bastien Durix, Tao Wu +3
We conduct a thorough study of photometric stereo under nearby point light source illumination, from modeling to numerical solution, through calibration. In the classical formulati…
Multi-way Monte Carlo Method for Linear Systems
Tao Wu, David F. Gleich
We study the Monte Carlo method for solving a linear system of the form . A sufficient condition for the method to work is , which greatly limits the usab…
Limiting aspects of non-convex models
Michael Hintermüller, Tuomo Valkonen, Tao Wu
Recently, non-convex regularisation models have been introduced in order to provide a better prior for gradient distributions in real images. They are based on using concave energi…