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Tim Meinhardt

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA2
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedMake One-Shot Video Object Segmentation Efficient Again

5 citations · 5 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 5 cited

Make One-Shot Video Object Segmentation Efficient Again

Tim Meinhardt, Laura Leal-Taixe

Video object segmentation (VOS) describes the task of segmenting a set of objects in each frame of a video. In the semi-supervised setting, the first mask of each object is provide…

astro-ph.GA2020

HOLISMOKES -- IV. Efficient mass modeling of strong lenses through deep learning

S. Schuldt, S. H. Suyu, T. Meinhardt +4

Modelling the mass distributions of strong gravitational lenses is often necessary to use them as astrophysical and cosmological probes. With the high number of lens systems ($>10^…

astro-ph.GA2020

HOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks

R. Canameras, S. Schuldt, S. H. Suyu +6

We present a systematic search for wide-separation (Einstein radius >1.5"), galaxy-scale strong lenses in the 30 000 sq.deg of the Pan-STARRS 3pi survey on the Northern sky. With l…

cs.CV2018

Lifting Layers: Analysis and Applications

Peter Ochs, Tim Meinhardt, Laura Leal-Taixe +1

The great advances of learning-based approaches in image processing and computer vision are largely based on deeply nested networks that compose linear transfer functions with suit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.