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- Max Planck SocietyDE261 papers
- Saarland UniversityDE124 papers
- Technische Universität BerlinDE55 papers
- Centre National de la Recherche ScientifiqueFR41 papers
- Korea UniversityKR41 papers
- Stanford UniversityUS25 papers
- Institut national de recherche en sciences et technologies du numériqueFR24 papers
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31 papers · 2 filters
Weakly Supervised Object Boundaries
Anna Khoreva, Rodrigo Benenson, Mohamed Omran +2
State-of-the-art learning based boundary detection methods require extensive training data. Since labelling object boundaries is one of the most expensive types of annotations, the…
Labeled pupils in the wild: A dataset for studying pupil detection in unconstrained environments
Marc Tonsen, Xucong Zhang, Yusuke Sugano +1
We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The…
Deep Reflectance Maps
Konstantinos Rematas, Tobias Ritschel, Mario Fritz +2
Undoing the image formation process and therefore decomposing appearance into its intrinsic properties is a challenging task due to the under-constraint nature of this inverse prob…
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
Leonid Pishchulin, Eldar Insafutdinov, Siyu Tang +4
This paper considers the task of articulated human pose estimation of multiple people in real world images. We propose an approach that jointly solves the tasks of detection and po…
A convnet for non-maximum suppression
Jan Hosang, Rodrigo Benenson, Bernt Schiele
Non-maximum suppression (NMS) is used in virtually all state-of-the-art object detection pipelines. While essential object detection ingredients such as features, classifiers, and…
Moral Lineage Tracing
Florian Jug, Evgeny Levinkov, Corinna Blasse +2
Lineage tracing, the tracking of living cells as they move and divide, is a central problem in biological image analysis. Solutions, called lineage forests, are key to understandin…