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Hartmut Bauermeister

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3

identity via Semantic Scholar / OpenAlex

collaborators

3 papers

cs.CV2020

Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction

Christina Runkel, Stefan Dorenkamp, Hartmut Bauermeister +1

Machine learning techniques have excelled in the automatic semantic analysis of images, reaching human-level performances on challenging benchmarks. Yet, the semantic analysis of v…

cs.CV2020

Fast Convex Relaxations using Graph Discretizations

Jonas Geiping, Fjedor Gaede, Hartmut Bauermeister +1

Matching and partitioning problems are fundamentals of computer vision applications with examples in multilabel segmentation, stereo estimation and optical-flow computation. These…

cs.CV2020

Inverting Gradients -- How easy is it to break privacy in federated learning?

Jonas Geiping, Hartmut Bauermeister, Hannah Dröge +1

The idea of federated learning is to collaboratively train a neural network on a server. Each user receives the current weights of the network and in turns sends parameter updates…

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