122 citations
- Technical University of MunichDE28 papers
- Ludwig-Maximilians-Universität MünchenDE20 papers
- FortissDE7 papers
- Blekinge Institute of TechnologySE6 papers
- Goethe University FrankfurtDE6 papers
- Technische Universität DresdenDE6 papers
- Bielefeld UniversityDE5 papers
- LMU KlinikumDE5 papers
- Graz University of TechnologyAT4 papers
- Iscte – Instituto Universitário de LisboaPT4 papers
- OTH RegensburgDE4 papers
- Universität der Bundeswehr MünchenDE4 papers
4 papers · 2 filters
Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
Wadim Kehl, Federico Tombari, Slobodan Ilic +1
We present a novel method to track 3D models in color and depth data. To this end, we introduce approximations that accelerate the state-of-the-art in region-based tracking by an o…
Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders
Ilja Manakov, Volker Tresp
In this paper, we focus on the problem of identifying semantic factors of variation in large image datasets. By training a convolutional Autoencoder on the image data, we create en…
3D Object Instance Recognition and Pose Estimation Using Triplet Loss with Dynamic Margin
Sergey Zakharov, Wadim Kehl, Benjamin Planche +2
In this paper, we address the problem of 3D object instance recognition and pose estimation of localized objects in cluttered environments using convolutional neural networks. Insp…
Domain Randomization for Active Pose Estimation
Xinyi Ren, Jianlan Luo, Eugen Solowjow +4
Accurate state estimation is a fundamental component of robotic control. In robotic manipulation tasks, as is our focus in this work, state estimation is essential for identifying…