Search Results for author: Manuel Traub

Found 5 papers, 2 papers with code

Loci-Segmented: Improving Scene Segmentation Learning

1 code implementation16 Oct 2023 Manuel Traub, Frederic Becker, Adrian Sauter, Sebastian Otte, Martin V. Butz

Current slot-oriented approaches for compositional scene segmentation from images and videos rely on provided background information or slot assignments.

Scene Segmentation Segmentation

Learning Object Permanence from Videos via Latent Imaginations

no code implementations16 Oct 2023 Manuel Traub, Frederic Becker, Sebastian Otte, Martin V. Butz

While human infants exhibit knowledge about object permanence from two months of age onwards, deep-learning approaches still largely fail to recognize objects' continued existence.

Object Representation Learning

Learning Precise Spike Timings with Eligibility Traces

no code implementations8 May 2020 Manuel Traub, Martin V. Butz, R. Harald Baayen, Sebastian Otte

As a consequence, this limits in principle the inherent advantage of SNNs, that is, the potential to develop codes that rely on precise relative spike timings.

Towards Automatic Embryo Staging in 3D+T Microscopy Images using Convolutional Neural Networks and PointNets

no code implementations1 Oct 2019 Manuel Traub, Johannes Stegmaier

Automatic analyses and comparisons of different stages of embryonic development largely depend on a highly accurate spatiotemporal alignment of the investigated data sets.

Cannot find the paper you are looking for? You can Submit a new open access paper.