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20162024
most citedLifted Disjoint Paths with Application in Multiple Object Tracking

84 citations · 261 across the 33 of their papers we have counts for

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Showing 2020Show all

13 papers · 1 filter

cs.CV2020

CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild

Bastian Wandt, Marco Rudolph, Petrissa Zell +2

Human pose estimation from single images is a challenging problem in computer vision that requires large amounts of labeled training data to be solved accurately. Unfortunately, fo…

cs.CV2020

Exploring Dynamic Context for Multi-path Trajectory Prediction

Hao Cheng, Wentong Liao, Xuejiao Tang +3

To accurately predict future positions of different agents in traffic scenarios is crucial for safely deploying intelligent autonomous systems in the real-world environment. Howeve…

cs.CV2020★ 2 cited

Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows

Marco Rudolph, Bastian Wandt, Bodo Rosenhahn

The detection of manufacturing errors is crucial in fabrication processes to ensure product quality and safety standards. Since many defects occur very rarely and their characteris…

cs.LG2020★ 6 cited

TOAD-GAN: Coherent Style Level Generation from a Single Example

Maren Awiszus, Frederik Schubert, Bodo Rosenhahn

In this work, we present TOAD-GAN (Token-based One-shot Arbitrary Dimension Generative Adversarial Network), a novel Procedural Content Generation (PCG) algorithm that generates to…

cs.CV2020

Weakly-supervised Learning of Human Dynamics

Petrissa Zell, Bodo Rosenhahn, Bastian Wandt

This paper proposes a weakly-supervised learning framework for dynamics estimation from human motion. Although there are many solutions to capture pure human motion readily availab…

cs.CV2020★ 84 cited

Lifted Disjoint Paths with Application in Multiple Object Tracking

Andrea Hornakova, Roberto Henschel, Bodo Rosenhahn +1

We present an extension to the disjoint paths problem in which additional \emph{lifted} edges are introduced to provide path connectivity priors. We call the resulting optimization…