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researcher

Lukas Struppek

Artificial Intelligence and Machine Learning Lab, TU Darmstadt

21 papers hereh-index 14810 citations31 works total

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

author position
  • first author10
  • middle author11

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.CR3
  • cs.CV3
  • cs.AI1
  • cs.CL1
affiliations
  • Artificial Intelligence and Machine Learning Lab, TU Darmstadt
Homepage
same name
  • Lukas Struppek — 3 papers, h 2
  • Lukas Struppek — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedLearning to Break Deep Perceptual Hashing: The Use Case NeuralHash

140 citations · 244 across the 21 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023★ 12 cited

SEGA: Instructing Text-to-Image Models using Semantic Guidance

Manuel Brack, Felix Friedrich, Dominik Hintersdorf +3

Text-to-image diffusion models have recently received a lot of interest for their astonishing ability to produce high-fidelity images from text only. However, achieving one-shot ge…

cs.CV2022★ 34 cited

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis

Lukas Struppek, Dominik Hintersdorf, Felix Friedrich +3

Models for text-to-image synthesis, such as DALL-E~2 and Stable Diffusion, have recently drawn a lot of interest from academia and the general public. These models are capable of p…

cs.CV2022★ 1 cited

Sparsely-gated Mixture-of-Expert Layers for CNN Interpretability

Svetlana Pavlitska, Christian Hubschneider, Lukas Struppek +1

Sparsely-gated Mixture of Expert (MoE) layers have been recently successfully applied for scaling large transformers, especially for language modeling tasks. An intriguing side eff…

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