151 citations · 221 across the 6 of their papers we have counts for
6 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…
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…
De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors
Maksym Dzitsiuk, Jürgen Sturm, Robert Maier +2
Creating 3D maps on robots and other mobile devices has become a reality in recent years. Online 3D reconstruction enables many exciting applications in robotics and AR/VR gaming.…
Direct Sparse Odometry
Jakob Engel, Vladlen Koltun, Daniel Cremers
We propose a novel direct sparse visual odometry formulation. It combines a fully direct probabilistic model (minimizing a photometric error) with consistent, joint optimization of…
A Photometrically Calibrated Benchmark For Monocular Visual Odometry
Jakob Engel, Vladyslav Usenko, Daniel Cremers
We present a dataset for evaluating the tracking accuracy of monocular visual odometry and SLAM methods. It contains 50 real-world sequences comprising more than 100 minutes of vid…