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Natalie Grabowsky

4 papers hereh-index 28 citations3 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedGenerative AI for Autonomous Driving: A Review

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2025★ 1 cited

Generative AI for Autonomous Driving: A Review

Katharina Winter, Abhishek Vivekanandan, Rupert Polley +17

Generative AI (GenAI) is rapidly advancing the field of Autonomous Driving (AD), extending beyond traditional applications in text, image, and video generation. We explore how gene…

cs.CV2025

Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?

Natalie Grabowsky, Annika Mütze, Joshua Wendland +2

Agents in real-world scenarios like automated driving deal with uncertainty in their environment, in particular due to perceptual uncertainty. Although, reinforcement learning is d…

cs.CV2024

On the Influence of Shape, Texture and Color for Learning Semantic Segmentation

Annika Mütze, Natalie Grabowsky, Edgar Heinert +2

Recent research has investigated the shape and texture biases of pre-trained deep neural networks (DNNs) in image classification. Those works test how much a trained DNN relies on…

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